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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
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Screenpipe Dashboard
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Extensions – Add-ons for Firefox (en-US)
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Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
Extension Metadata
Extension Metadata
This add-on cannot be rated because no versions have been published.
More information
Last updated
Add to collection
Go to Mozilla's homepage
Go to Mozilla's homepage
Add-ons
Add-ons
Add-ons
About
About
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Developer Policies
Developer Policies
Community Blog
Community Blog
Forum
Forum
Report a bug
Report a bug
Review Guide
Review Guide
Browsers
Browsers
Desktop
Desktop
Mobile
Mobile
Enterprise
Enterprise
Products
Products
Browsers
Browsers
VPN
VPN
Relay
Relay
Monitor
Monitor
Pocket
Pocket
Bluesky (@firefox.com)
Bluesky (@firefox.com)
Instagram (Firefox)
Instagram (Firefox)
YouTube (firefoxchannel)
YouTube (firefoxchannel)
Privacy
Privacy
Cookies
Cookies
Legal
Legal
Except where otherwise
noted
noted
, content on this site is licensed under the
Creative Commons Attribution Share-Alike License v3.0
Creative Commons Attribution Share-Alike License v3.0
or any later version.
Change language...
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
Extension Metadata
Extension Metadata
This add-on cannot be rated because no versions have been published.
More information
Last updated
Add to collection
Go to Mozilla's homepage
Go to Mozilla's homepage
Add-ons
Add-ons
Add-ons
About
About
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Developer Policies
Developer Policies
Community Blog
Community Blog
Forum
Forum
Report a bug
Report a bug
Review Guide
Review Guide
Browsers
Browsers
Desktop
Desktop
Mobile
Mobile
Enterprise
Enterprise
Products
Products
Browsers
Browsers
VPN
VPN
Relay
Relay
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Monitor
Pocket
Pocket
Bluesky (@firefox.com)
Bluesky (@firefox.com)
Instagram (Firefox)
Instagram (Firefox)
YouTube (firefoxchannel)
YouTube (firefoxchannel)
Privacy
Privacy
Cookies
Cookies
Legal
Legal
Except where otherwise
noted
noted
, content on this site is licensed under the
Creative Commons Attribution Share-Alike License v3.0
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928582514_m1.jpg...
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Firefox
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Linkwarden – Get this Extension for 🦊 Firefox (en- Linkwarden – Get this Extension for 🦊 Firefox (en-US) — Personal...
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addons.mozilla.org/en-US/firefox/addon/linkwarden/
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monitor_1
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
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More…
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Extension Workshop
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Search
Search
Search
Search
Search
This add-on is not actively monitored for security by Mozilla. Make sure you trust it before installing.
Learn more
Learn more
Linkwarden by Daniel31x13 , Jordan Higuera
Linkwarden
by
Daniel31x13
Daniel31x13
,
Jordan Higuera
Jordan Higuera
The browser extension for Linkwarden.
4.6 (35 reviews) 4.6 (35 reviews)
4.6 (35 reviews)
4.6 (35 reviews)
2,613 Users
2,613 Users
Add to Firefox
Add to Firefox
Extension Metadata
Extension Metadata
Screenshots
Rated 4.6 by 35 reviewers
Log in to rate this extension
Log in to rate this extension
There are no ratings yet
5
5
Read all 27 five-star reviews
27
27
4
4
Read all 3 four-star reviews
3
3
3
3
Read all 4 three-star reviews
4
4
2
2
Read the 1 two-star review
1
1
1
1
There are no one-star reviews
0
0
Read all 35 reviews
Read all 35 reviews
Permissions and data
Required permissions:
Required permissions:
Read and modify bookmarks
Access browser tabs
Optional permissions:
Optional permissions:
Access your data for all websites
Learn more
Learn more
More information
Add-on Links
Support site
Support site
Support Email
Support Email
Version
1.5.2
Size
206.89 KB
Last updated
18 days ago (Mar 24, 2026)
Related Categories
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Bookmarks
∙
Social & Communication
Social & Communication
License
MIT License
MIT License
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, content on this site is licensed under the
Creative Commons Attribution Share-Alike License v3.0
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click
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NULL
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
This add-on is not actively monitored for security by Mozilla. Make sure you trust it before installing.
Learn more
Learn more
Linkwarden by Daniel31x13 , Jordan Higuera
Linkwarden
by
Daniel31x13
Daniel31x13
,
Jordan Higuera
Jordan Higuera
The browser extension for Linkwarden.
4.6 (35 reviews) 4.6 (35 reviews)
4.6 (35 reviews)
4.6 (35 reviews)
2,613 Users
2,613 Users
Add to Firefox
Add to Firefox
Extension Metadata
Extension Metadata
Screenshots
Rated 4.6 by 35 reviewers
Log in to rate this extension
Log in to rate this extension
There are no ratings yet
5
5
Read all 27 five-star reviews
27
27
4
4
Read all 3 four-star reviews
3
3
3
3
Read all 4 three-star reviews
4
4
2
2
Read the 1 two-star review
1
1
1
1
There are no one-star reviews
0
0
Read all 35 reviews
Read all 35 reviews
Permissions and data
Required permissions:
Required permissions:
Read and modify bookmarks
Access browser tabs
Optional permissions:
Optional permissions:
Access your data for all websites
Learn more
Learn more
More information
Add-on Links
Support site
Support site
Support Email
Support Email
Version
1.5.2
Size
206.89 KB
Last updated
18 days ago (Mar 24, 2026)
Related Categories
Bookmarks
Bookmarks
∙
Social & Communication
Social & Communication
License
MIT License
MIT License
Version History
See all versions
See all versions
Add to collection
Report this add-on
Report this add-on
Other popular extensions
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Go to Mozilla's homepage
Go to Mozilla's homepage
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YouTube (firefoxchannel)
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Cookies
Legal
Legal
Except where otherwise
noted
noted
, content on this site is licensed under the
Creative Commons Attribution Share-Alike License v3.0
Creative Commons Attribution Share-Alike License v3.0
or any later version.
Change language...
|
NULL
|
|
1455
|
32
|
24
|
2026-04-11T17:29:44.941055+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928584941_m1.jpg...
|
Firefox
|
Linkwarden – Get this Extension for 🦊 Firefox (en- Linkwarden – Get this Extension for 🦊 Firefox (en-US) — Personal...
|
True
|
addons.mozilla.org/en-US/firefox/addon/linkwarden/
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
This add-on is not actively monitored for security by Mozilla. Make sure you trust it before installing.
Learn more
Learn more
Linkwarden by Daniel31x13 , Jordan Higuera
Linkwarden
by
Daniel31x13
Daniel31x13
,
Jordan Higuera
Jordan Higuera
The browser extension for Linkwarden.
4.6 (35 reviews) 4.6 (35 reviews)
4.6 (35 reviews)
4.6 (35 reviews)
2,613 Users
2,613 Users
Add to Firefox
Add to Firefox
Extension Metadata
Extension Metadata
Screenshots
Rated 4.6 by 35 reviewers
Log in to rate this extension
Log in to rate this extension
There are no ratings yet
5
5
Read all 27 five-star reviews
27
27
4
4
Read all 3 four-star reviews
3
3
3
3
Read all 4 three-star reviews
4
4
2
2
Read the 1 two-star review
1
1
1
1
There are no one-star reviews
0
0
Read all 35 reviews
Read all 35 reviews
Permissions and data
Required permissions:
Required permissions:
Read and modify bookmarks
Access browser tabs
Optional permissions:
Optional permissions:
Access your data for all websites
Learn more
Learn more
More information
Add-on Links
Support site
Support site
Support Email
Support Email
Version
1.5.2
Size
206.89 KB
Last updated
18 days ago (Mar 24, 2026)
Related Categories
Bookmarks
Bookmarks
∙
Social & Communication
Social & Communication
License
MIT License
MIT License
Version History
See all versions
See all versions
Add to collection
Report this add-on
Report this add-on
Other popular extensions
Dark Reader Recommended Recommended
Dark Reader
Dark Reader
Recommended Recommended
Recommended
Recommended
1,311,453 users
1,311,453 users
Grammar and Spell Checker - LanguageTool
Grammar and Spell Checker - LanguageTool
Grammar and Spell Checker - LanguageTool
407,741 users
407,741 users
Search by Image Recommended Recommended
Search by Image
Search by Image
Recommended Recommended
Recommended
Recommended
440,911 users
440,911 users
Tree Style Tab Recommended Recommended
Tree Style Tab
Tree Style Tab
Recommended Recommended
Recommended
Recommended
160,924 users
160,924 users
Go to Mozilla's homepage
Go to Mozilla's homepage
Add-ons
Add-ons
Add-ons
About
About
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Developer Policies
Developer Policies
Community Blog
Community Blog
Forum
Forum
Report a bug
Report a bug
Review Guide
Review Guide
Browsers
Browsers
Desktop
Desktop
Mobile
Mobile
Enterprise
Enterprise
Products
Products
Browsers
Browsers
VPN
VPN
Relay
Relay
Monitor
Monitor
Pocket
Pocket
Bluesky (@firefox.com)
Bluesky (@firefox.com)
Instagram (Firefox)
Instagram (Firefox)
YouTube (firefoxchannel)
YouTube (firefoxchannel)
Privacy
Privacy
Cookies
Cookies
Legal
Legal
Except where otherwise
noted
noted
, content on this site is licensed under the
Creative Commons Attribution Share-Alike License v3.0
Creative Commons Attribution Share-Alike License v3.0
or any later version.
Change language
Close...
|
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-5337494230782013730
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click
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accessibility
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NULL
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
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How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
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Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
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Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
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This add-on is not actively monitored for security by Mozilla. Make sure you trust it before installing.
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Linkwarden by Daniel31x13 , Jordan Higuera
Linkwarden
by
Daniel31x13
Daniel31x13
,
Jordan Higuera
Jordan Higuera
The browser extension for Linkwarden.
4.6 (35 reviews) 4.6 (35 reviews)
4.6 (35 reviews)
4.6 (35 reviews)
2,613 Users
2,613 Users
Add to Firefox
Add to Firefox
Extension Metadata
Extension Metadata
Screenshots
Rated 4.6 by 35 reviewers
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Log in to rate this extension
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5
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4
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0
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Read all 35 reviews
Read all 35 reviews
Permissions and data
Required permissions:
Required permissions:
Read and modify bookmarks
Access browser tabs
Optional permissions:
Optional permissions:
Access your data for all websites
Learn more
Learn more
More information
Add-on Links
Support site
Support site
Support Email
Support Email
Version
1.5.2
Size
206.89 KB
Last updated
18 days ago (Mar 24, 2026)
Related Categories
Bookmarks
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∙
Social & Communication
Social & Communication
License
MIT License
MIT License
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Except where otherwise
noted
noted
, content on this site is licensed under the
Creative Commons Attribution Share-Alike License v3.0
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or any later version.
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2026-04-11T17:29:55.241921+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928595241_m1.jpg...
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Firefox
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Linkwarden – Get this Extension for 🦊 Firefox (en- Linkwarden – Get this Extension for 🦊 Firefox (en-US) — Personal...
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True
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addons.mozilla.org/en-US/firefox/addon/linkwarden/
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monitor_1
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NULL
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NULL
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NULL
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Add
Linkwarden
Required permissions:
Required perm Add
Linkwarden
Required permissions:
Required permissions:
Access your data for all websites
Read and modify bookmarks
Access browser tabs
Optional settings:
Optional settings:
Allow extension to run in private windows
Allow extension to run in private windows
Learn more
Learn more
Cancel
Add
DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
This add-on is not actively monitored for security by Mozilla. Make sure you trust it before installing.
Learn more
Learn more
Linkwarden by Daniel31x13 , Jordan Higuera
Linkwarden
by
Daniel31x13
Daniel31x13
,
Jordan Higuera
Jordan Higuera
The browser extension for Linkwarden.
4.6 (35 reviews) 4.6 (35 reviews)
4.6 (35 reviews)
4.6 (35 reviews)
2,613 Users
2,613 Users
Remove
Remove
Extension Metadata
Extension Metadata
Screenshots
Rated 4.6 by 35 reviewers
Log in to rate this extension
Log in to rate this extension
There are no ratings yet
5
5
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27
27
4
4
Read all 3 four-star reviews
3
3
3
3
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4
4
2
2
Read the 1 two-star review
1
1
1
1
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0
0
Read all 35 reviews
Read all 35 reviews
Permissions and data
Required permissions:
Required permissions:
Read and modify bookmarks
Access browser tabs
Optional permissions:
Optional permissions:
Access your data for all websites...
|
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2236910719486679195
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-7643626308474630450
|
click
|
accessibility
|
NULL
|
Add
Linkwarden
Required permissions:
Required perm Add
Linkwarden
Required permissions:
Required permissions:
Access your data for all websites
Read and modify bookmarks
Access browser tabs
Optional settings:
Optional settings:
Allow extension to run in private windows
Allow extension to run in private windows
Learn more
Learn more
Cancel
Add
DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
This add-on is not actively monitored for security by Mozilla. Make sure you trust it before installing.
Learn more
Learn more
Linkwarden by Daniel31x13 , Jordan Higuera
Linkwarden
by
Daniel31x13
Daniel31x13
,
Jordan Higuera
Jordan Higuera
The browser extension for Linkwarden.
4.6 (35 reviews) 4.6 (35 reviews)
4.6 (35 reviews)
4.6 (35 reviews)
2,613 Users
2,613 Users
Remove
Remove
Extension Metadata
Extension Metadata
Screenshots
Rated 4.6 by 35 reviewers
Log in to rate this extension
Log in to rate this extension
There are no ratings yet
5
5
Read all 27 five-star reviews
27
27
4
4
Read all 3 four-star reviews
3
3
3
3
Read all 4 three-star reviews
4
4
2
2
Read the 1 two-star review
1
1
1
1
There are no one-star reviews
0
0
Read all 35 reviews
Read all 35 reviews
Permissions and data
Required permissions:
Required permissions:
Read and modify bookmarks
Access browser tabs
Optional permissions:
Optional permissions:
Access your data for all websites...
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2026-04-11T17:29:59.165075+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928599165_m1.jpg...
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Firefox
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Linkwarden – Get this Extension for 🦊 Firefox (en- Linkwarden – Get this Extension for 🦊 Firefox (en-US) — Personal...
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True
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addons.mozilla.org/en-US/firefox/addon/linkwarden/
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Sync and save data
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New ta Sync and save data
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
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Search
Search
Search
Search
Search
This add-on is not actively monitored for security by Mozilla. Make sure you trust it before installing.
Learn more
Learn more
Linkwarden by Daniel31x13 , Jordan Higuera
Linkwarden
by
Daniel31x13
Daniel31x13
,
Jordan Higuera
Jordan Higuera
The browser extension for Linkwarden.
4.6 (35 reviews) 4.6 (35 reviews)
4.6 (35 reviews)
4.6 (35 reviews)
2,613 Users
2,613 Users
Remove
Remove
Extension Metadata
Extension Metadata
Screenshots
Rated 4.6 by 35 reviewers
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5
5
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1
1
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0
0
Read all 35 reviews
Read all 35 reviews
Permissions and data
Required permissions:
Required permissions:
Read and modify bookmarks
Access browser tabs
Optional permissions:
Optional permissions:
Access your data for all websites
Learn more
Learn more
More information
Add-on Links
Support site
Support site
Support Email
Support Email
Version
1.5.2
Size
206.89 KB
Last updated
18 days ago (Mar 24, 2026)
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License
MIT License
MIT License
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, content on this site is licensed under the
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DXP4800PLUS-B5F8
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Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
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Linkwarden – Get this Extension for 🦊 Firefox (en-US)
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Linkwarden by Daniel31x13 , Jordan Higuera
Linkwarden
by
Daniel31x13
Daniel31x13
,
Jordan Higuera
Jordan Higuera
The browser extension for Linkwarden.
4.6 (35 reviews) 4.6 (35 reviews)
4.6 (35 reviews)
4.6 (35 reviews)
2,613 Users
2,613 Users
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Rated 4.6 by 35 reviewers
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Read and modify bookmarks
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Access your data for all websites
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Version
1.5.2
Size
206.89 KB
Last updated
18 days ago (Mar 24, 2026)
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Linkwarden – Get this Extension for 🦊 Firefox (en- Linkwarden – Get this Extension for 🦊 Firefox (en-US) — Personal...
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firefox sidebar - Google Search
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How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
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Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Close tab
New Tab
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Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
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4415098977594849275
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3796289383356581388
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click
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accessibility
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NULL
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Sync and save data
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Close tab
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New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
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bitwrden
bitwrden
Search addons.mozilla.org
Personalize Your Firefox
Personalize Your Firefox
Tools for all add-ons
Extensions and themes let you customize Firefox. They can boost privacy, enhance productivity, improve media, change the way Firefox looks, and so much more. These small software programs are often developed by a third party. Here’s a selection Firefox
recommends
recommends
for exceptional security, performance, and functionality.
Some of these recommendations are personalized. They are based on other extensions you’ve installed, profile preferences, and usage statistics.
Learn more
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Close
Crimson Merlot
Crimson Merlot
by
DV8
DV8
Install Theme
ClearURLs
ClearURLs
by
Kevin
Kevin
Add to Firefox
Remove tracking elements from web links.
Users: 516,099
automaticDark - Time-Based Theme Changer
automaticDark - Time-Based Theme Changer
by
simonkhzhang
simonkhzhang
Add to Firefox
Time-based theme changer. Make Firefox change colors as the time of day changes.
Users: 15,692
Rosy Sky
Rosy Sky
by
g1308_
g1308_
Install Theme
Time Tracker - Web Habit Builder
Time Tracker - Web Habit Builder
by
sheepie z
sheepie z
Add to Firefox
Track the time you spend on the web, analyze your habits, block distracting sites & more.
Users: 14,423
Download All Images
Download All Images
by
Joe Ertaba
Joe Ertaba
Add to Firefox
Save images easily—just grab them from your current tab.
Users: 104,720
Double Phantasy
Double Phantasy
by
Dave
Dave
Install Theme
Find more add-ons
Privacy Policy
Privacy Policy...
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2026-04-11T17:30:15.436991+00:00
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DXP4800PLUS-B5F8
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Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
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36 hodín chaosu: Ako Trump hrozbou o vyhladení Iránu pokazil rokovania (reportáž denníka New York Times)
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The New York Times
The New York Times
10. apríla 2026
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Trump si vylial zlosť na šéfovi NATO, Rutteho stratégia ustupovania prestala vychádzať
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Denník N
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Tomáš Zemko
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Zobraziť diskusiu (počet príspevkov: 1)...
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2026-04-11T17:30:20.682025+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928620682_m1.jpg...
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Code
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Build screenpipe data UI… — screenpipe [SSH: 100.7 Build screenpipe data UI… — screenpipe [SSH: 100.73.206.126]...
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monitor_1
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update, 1 requires restart
3
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
report.py, preview, Editor Group 1
Build screenpipe data UI…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
remote SSH: [IP_ADDRESS]
SSH: [IP_ADDRESS]
No Problems
0
0
No Ports Forwarded
0
Update is ready, click to restart.
Update is ready, click to restart.
Notifications
Sign In
Sign In
Screen Reader Optimized
expanded
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
Copy code to clipboard
OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
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OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
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OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
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OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
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OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
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OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
Copy code to clipboard
OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
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OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
Copy code to clipboard
OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
Copy code to clipboard
/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
Copy code to clipboard
python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?
Message actions
seesm ok
Thinking
Thinking
Bash
Check Python and available packages
IN
python3 --version && pip3 list 2>/dev/null | grep -E "fastapi|uvicorn|click|anthropic|httpx|jinja"
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OUT
Python 3.11.2
[rerun: b1]
Bash
Verify join works for today's data
IN
sqlite3 /volume1/screenpipe/db.sqlite "
SELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len
FROM frames f JOIN ocr_text o ON f.id = o.frame_id
WHERE DATE(f.timestamp) = '2026-04-11'
ORDER BY f.timestamp DESC LIMIT 3;
"
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OUT
2026-04-11T12:54:42.597794+00:00|||2111
2026-04-11T12:54:41.915916+00:00|||2110
2026-04-11T12:54:39.912712+00:00|||2111
[rerun: b2]
Bash
Install required packages
IN
pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5
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OUT
/bin/bash: line 1: pip3: command not found
[rerun: b3]
Bash
Find pip
IN
which pip || which pip3 || python3 -m pip --version 2>/dev/null
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OUT
Exit code 1
[rerun: b4]
Bash
Bootstrap pip then install packages
IN
python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10
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OUT
Exit code 1
/usr/bin/python3: No module named ensurepip
[rerun: b5]
Bash
Install pip via apt
IN
apt-get install -y python3-pip python3-venv 2>&1 | tail -5
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OUT
E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)
E: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?
[rerun: b6]
Bash
Install pip with sudo
Reason:
lets make it in docker, not to install it in nas directly
IN
sudo apt-get install -y python3-pip python3-venv 2>&1 | tail -5
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Good call. Let me check what Docker setup you already have and build a proper containerized app.
Bash
Check existing docker-compose for reference
IN
ls /volume2/docker/paperlessngx/ && cat /volume2/docker/paperlessngx/docker-compose.yml 2>/dev/null | head -30
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OUT
consume
data
db
docker-compose.yml
export
mcp-server
media
redis
trash
services:
redis:
image: redis:8
command:
- /bin/sh
- -c
- redis-server --requirepass redispass
container_name: PaperlessNGX-REDIS
hostname: paper-redis
security_opt:
- no-new-privileges:true
read_only: true
user: 1000:10
healthcheck:
test: ["CMD-SHELL", "redis-cli ping || exit 1"]
volumes:
- /volume2/docker/paperlessngx/redis:/data:rw
environment:
TZ: Europe/Sofia
restart: always
db:
image: postgres:17
container_name: PaperlessNGX-DB
hostname: paper-db
mem_limit: 1g
security_opt:
- no-new-privileges:true
healthcheck:
test: ["CMD", "pg_isready", "-q", "-d", "paperless", "-U", "paperlessuser"]
[rerun: b7]
Bash
Check Docker availability
IN...
|
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Optimized","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"expanded","depth":12,"role_description":"text"},{"role":"AXButton","text":"Build screenpipe data UI and summary app","depth":18,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":18,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":18,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":23,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets build app around screenpipe data and 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THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Let me explore the screenpipe directory to understand what we're working with.","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List screenpipe directory contents","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"data\ndb.sqlite\npipes\n#recycle\n[rerun: b1]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List data and pipes directories","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09\n2026-04-11\nai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n[rerun: b2]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List tables in screenpipe SQLite database","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \".tables\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"_sqlx_migrations meetings \naudio_chunks memories \naudio_tags memories_fts \naudio_transcriptions memories_fts_config \naudio_transcriptions_fts memories_fts_data \naudio_transcriptions_fts_config memories_fts_docsize \naudio_transcriptions_fts_data memories_fts_idx \naudio_transcriptions_fts_docsize ocr_text \naudio_transcriptions_fts_idx pipe_executions \nelements pipe_scheduler_state \nelements_fts speaker_embeddings \nelements_fts_config speakers \nelements_fts_data tags \nelements_fts_docsize ui_events \nelements_fts_idx ui_events_fts \nframes ui_events_fts_config \nframes_fts ui_events_fts_data \nframes_fts_config ui_events_fts_docsize \nframes_fts_content ui_events_fts_idx \nframes_fts_data video_chunks \nframes_fts_docsize vision_tags \nframes_fts_idx\n[rerun: b3]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get ocr_text table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(ocr_text);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|frame_id|INTEGER|1||0\n1|text|TEXT|1||0\n2|text_json|TEXT|0||0\n3|app_name|TEXT|1|''|0\n4|ocr_engine|TEXT|1|'unknown'|0\n5|window_name|TEXT|0||0\n6|focused|BOOLEAN|0|FALSE|0\n7|text_length|INTEGER|0||0\n8|sync_id|TEXT|0||0\n9|synced_at|DATETIME|0||0\n[rerun: b4]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get audio_transcriptions table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(audio_transcriptions);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|audio_chunk_id|INTEGER|1||0\n2|offset_index|INTEGER|1||0\n3|timestamp|TIMESTAMP|1||0\n4|transcription|TEXT|1||0\n5|device|TEXT|1|''|0\n6|is_input_device|BOOLEAN|1|TRUE|0\n7|speaker_id|INTEGER|0||0\n8|transcription_engine|TEXT|1|'Whisper'|0\n9|start_time|REAL|0||0\n10|end_time|REAL|0||0\n11|text_length|INTEGER|0||0\n12|sync_id|TEXT|0||0\n13|synced_at|DATETIME|0||0\n[rerun: b5]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get frames, ui_events, video_chunks schemas","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|video_chunk_id|INTEGER|0|NULL|0\n2|offset_index|INTEGER|1|0|0\n3|timestamp|TIMESTAMP|1||0\n4|name|TEXT|0||0\n5|app_name|TEXT|0|NULL|0\n6|window_name|TEXT|0|NULL|0\n7|focused|BOOLEAN|0|NULL|0\n8|browser_url|TEXT|0|NULL|0\n9|device_name|TEXT|1|''|0\n10|sync_id|TEXT|0||0\n11|machine_id|TEXT|0||0\n12|synced_at|DATETIME|0||0\n13|snapshot_path|TEXT|0|NULL|0\n14|accessibility_text|TEXT|0|NULL|0\n15|accessibility_tree_json|TEXT|0|NULL|0\n16|content_hash|INTEGER|0|NULL|0\n17|simhash|INTEGER|0|NULL|0\n18|capture_trigger|TEXT|0|NULL|0\n19|text_source|TEXT|0|NULL|0\n20|cloud_blob_id|TEXT|0|NULL|0\n21|full_text|TEXT|0|NULL|0\n22|elements_ref_frame_id|INTEGER|0|NULL|0\n0|id|INTEGER|0||1\n1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0\n2|session_id|TEXT|0||0\n3|relative_ms|INTEGER|1|0|0\n4|event_type|TEXT|1||0\n5|x|INTEGER|0||0\n6|y|INTEGER|0||0\n7|delta_x|INTEGER|0||0\n8|delta_y|INTEGER|0||0\n9|button|INTEGER|0||0\n10|click_count|INTEGER|0||0\n11|key_code|INTEGER|0||0\n12|modifiers|INTEGER|0||0\n13|text_content|TEXT|0||0\n14|text_length|INTEGER|0||0\n15|app_name|TEXT|0||0\n16|app_pid|INTEGER|0||0\n17|window_title|TEXT|0||0\n18|browser_url|TEXT|0||0\n19|element_role|TEXT|0||0\n20|element_name|TEXT|0||0\n21|element_value|TEXT|0||0\n22|element_description|TEXT|0||0\n23|element_automation_id|TEXT|0||0\n24|element_bounds|TEXT|0||0\n25|frame_id|INTEGER|0||0\n26|sync_id|TEXT|0||0\n27|machine_id|TEXT|0||0\n28|synced_at|DATETIME|0||0\n0|id|INTEGER|0||1\n1|file_path|TEXT|1||0\n2|device_name|TEXT|1|''|0\n3|sync_id|TEXT|0||0\n4|machine_id|TEXT|0||0\n5|synced_at|DATETIME|0||0\n6|fps|REAL|1|0.5|0\n7|cloud_blob_id|TEXT|0|NULL|0\n[rerun: b6]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check data counts and date ranges","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*) FROM ocr_text;\" 2>/dev/null","depth":25,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00\n3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00\n666\n[rerun: b7]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Explore existing pipes for patterns","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\n[rerun: b8]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Read day-recap pipe documentation","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n[rerun: b9]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample app names from frames","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Safari\nActivity Monitor\nDia\niTerm2\nControl Centre\nUserNotificationCenter\nFinder\nClaude\nSlack\nFirefox\nRaycast\nNetAuthAgent\nQuickTime Player\n[rerun: b10]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample joined frame+ocr data for today","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE\n2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER\n2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p\n2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p\n2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi\n[rerun: b11]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample recent audio transcriptions","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09T17:02:52+00:00|.|System Audio\n2026-04-09T16:59:22+00:00|Class is technically...|System Audio\n2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio\n[rerun: b12]","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Good data to work with. Here's what we have:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Screen captures with OCR text, app name, window name (1135 frames so far)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"audio_transcriptions","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Voice/system audio transcripts","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ui_events","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Mouse/keyboard events with app context","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Raw video files","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Before I start building, a few quick questions:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Tech stack","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"AI summaries","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"What summaries matter most?","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Day recap (what apps/windows you used, key text seen)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"App time breakdown (time per app)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Audio/conversation recap","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Custom searchable timeline","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Here's the architecture I'm thinking:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"/volume1/screenpipe/app/\n├── main.py # FastAPI web UI\n├── cli.py # Click CLI: `python cli.py day-recap`\n├── db.py # Read-only queries against db.sqlite\n├── consumers/\n│ ├── activity.py # App usage, time per window\n│ ├── ocr.py # OCR text aggregation + search\n│ ├── audio.py # Transcription queries\n│ └── summary.py # AI summary builder\n└── static/\n └── index.html # Single-page UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"CLI commands would look like:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"python cli.py day-recap # EOD summary\npython cli.py activity --date today # App time breakdown\npython cli.py search \"docker\" # Search OCR/audio text\npython cli.py serve # Launch web UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Does this direction work? Any preferences on the stack or which summaries to prioritize?","depth":22,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":23,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"seesm ok","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check Python and available packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"python3 --version && pip3 list 2>/dev/null | grep -E \"fastapi|uvicorn|click|anthropic|httpx|jinja\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Python 3.11.2\n[rerun: b1]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Verify join works for today's data","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"\nSELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len\nFROM frames f JOIN ocr_text o ON f.id = o.frame_id\nWHERE DATE(f.timestamp) = '2026-04-11'\nORDER BY f.timestamp DESC LIMIT 3;\n\"","depth":25,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-11T12:54:42.597794+00:00|||2111\n2026-04-11T12:54:41.915916+00:00|||2110\n2026-04-11T12:54:39.912712+00:00|||2111\n[rerun: b2]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Install required packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"/bin/bash: line 1: pip3: command not found\n[rerun: b3]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Find pip","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"which pip || which pip3 || python3 -m pip --version 2>/dev/null","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\n[rerun: b4]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bootstrap pip then install packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\n/usr/bin/python3: No module named ensurepip\n[rerun: b5]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Install pip via apt","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"apt-get install -y python3-pip python3-venv 2>&1 | tail -5","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)\nE: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?\n[rerun: b6]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Install pip with sudo","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Reason:","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"lets make it in docker, not to install it in nas directly","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sudo apt-get install -y python3-pip python3-venv 2>&1 | tail -5","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Good call. Let me check what Docker setup you already have and build a proper containerized app.","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check existing docker-compose for reference","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume2/docker/paperlessngx/ && cat /volume2/docker/paperlessngx/docker-compose.yml 2>/dev/null | head -30","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"consume\ndata\ndb\ndocker-compose.yml\nexport\nmcp-server\nmedia\nredis\ntrash\nservices:\n redis:\n image: redis:8\n command:\n - /bin/sh\n - -c\n - redis-server --requirepass redispass\n container_name: PaperlessNGX-REDIS\n hostname: paper-redis\n security_opt:\n - no-new-privileges:true\n read_only: true\n user: 1000:10\n healthcheck:\n test: [\"CMD-SHELL\", \"redis-cli ping || exit 1\"]\n volumes:\n - /volume2/docker/paperlessngx/redis:/data:rw\n environment:\n TZ: Europe/Sofia\n restart: always\n\n db:\n image: postgres:17\n container_name: PaperlessNGX-DB\n hostname: paper-db\n mem_limit: 1g\n security_opt:\n - no-new-privileges:true\n healthcheck:\n test: [\"CMD\", \"pg_isready\", \"-q\", \"-d\", \"paperless\", \"-U\", \"paperlessuser\"]\n[rerun: b7]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check Docker availability","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"}]...
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update, 1 requires restart
3
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
report.py, preview, Editor Group 1
Build screenpipe data UI…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
remote SSH: [IP_ADDRESS]
SSH: [IP_ADDRESS]
No Problems
0
0
No Ports Forwarded
0
Update is ready, click to restart.
Update is ready, click to restart.
Notifications
Sign In
Sign In
Screen Reader Optimized
expanded
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
Copy code to clipboard
OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
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OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
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OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
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OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
Copy code to clipboard
OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
Copy code to clipboard
OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
Copy code to clipboard
OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
Copy code to clipboard
OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
Copy code to clipboard
OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
Copy code to clipboard
/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
Copy code to clipboard
python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?
Message actions
seesm ok
Thinking
Thinking
Bash
Check Python and available packages
IN
python3 --version && pip3 list 2>/dev/null | grep -E "fastapi|uvicorn|click|anthropic|httpx|jinja"
Copy code to clipboard
OUT
Python 3.11.2
[rerun: b1]
Bash
Verify join works for today's data
IN
sqlite3 /volume1/screenpipe/db.sqlite "
SELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len
FROM frames f JOIN ocr_text o ON f.id = o.frame_id
WHERE DATE(f.timestamp) = '2026-04-11'
ORDER BY f.timestamp DESC LIMIT 3;
"
Copy code to clipboard
OUT
2026-04-11T12:54:42.597794+00:00|||2111
2026-04-11T12:54:41.915916+00:00|||2110
2026-04-11T12:54:39.912712+00:00|||2111
[rerun: b2]
Bash
Install required packages
IN
pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5
Copy code to clipboard
OUT
/bin/bash: line 1: pip3: command not found
[rerun: b3]
Bash
Find pip
IN
which pip || which pip3 || python3 -m pip --version 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
[rerun: b4]
Bash
Bootstrap pip then install packages
IN
python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10
Copy code to clipboard
OUT
Exit code 1
/usr/bin/python3: No module named ensurepip
[rerun: b5]
Bash
Install pip via apt
IN
apt-get install -y python3-pip python3-venv 2>&1 | tail -5
Copy code to clipboard
OUT
E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)
E: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?
[rerun: b6]
Bash
Install pip with sudo
Reason:
lets make it in docker, not to install it in nas directly
IN
sudo apt-get install -y python3-pip python3-venv 2>&1 | tail -5
Copy code to clipboard
Good call. Let me check what Docker setup you already have and build a proper containerized app.
Bash
Check existing docker-compose for reference
IN
ls /volume2/docker/paperlessngx/ && cat /volume2/docker/paperlessngx/docker-compose.yml 2>/dev/null | head -30
Copy code to clipboard
OUT
consume
data
db
docker-compose.yml
export
mcp-server
media
redis
trash
services:
redis:
image: redis:8
command:
- /bin/sh
- -c
- redis-server --requirepass redispass
container_name: PaperlessNGX-REDIS
hostname: paper-redis
security_opt:
- no-new-privileges:true
read_only: true
user: 1000:10
healthcheck:
test: ["CMD-SHELL", "redis-cli ping || exit 1"]
volumes:
- /volume2/docker/paperlessngx/redis:/data:rw
environment:
TZ: Europe/Sofia
restart: always
db:
image: postgres:17
container_name: PaperlessNGX-DB
hostname: paper-db
mem_limit: 1g
security_opt:
- no-new-privileges:true
healthcheck:
test: ["CMD", "pg_isready", "-q", "-d", "paperless", "-U", "paperlessuser"]
[rerun: b7]
Bash
Check Docker availability
IN...
|
NULL
|
|
1466
|
32
|
35
|
2026-04-11T17:30:31.281825+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928631281_m1.jpg...
|
Code
|
Build screenpipe data UI… — screenpipe [SSH: 100.7 Build screenpipe data UI… — screenpipe [SSH: 100.73.206.126]...
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update, 1 requires restart
3
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
report.py, preview, Editor Group 1
Build screenpipe data UI…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
remote SSH: [IP_ADDRESS]
SSH: [IP_ADDRESS]
No Problems
0
0
No Ports Forwarded
0
Update is ready, click to restart.
Update is ready, click to restart.
Notifications
Sign In
Sign In
Screen Reader Optimized
expanded
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
Copy code to clipboard
OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
Copy code to clipboard
OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
Copy code to clipboard
OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
Copy code to clipboard
OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
Copy code to clipboard
OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
Copy code to clipboard
OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
Copy code to clipboard
OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
Copy code to clipboard
/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
Copy code to clipboard
python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?...
|
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b4]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get audio_transcriptions table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(audio_transcriptions);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|audio_chunk_id|INTEGER|1||0\n2|offset_index|INTEGER|1||0\n3|timestamp|TIMESTAMP|1||0\n4|transcription|TEXT|1||0\n5|device|TEXT|1|''|0\n6|is_input_device|BOOLEAN|1|TRUE|0\n7|speaker_id|INTEGER|0||0\n8|transcription_engine|TEXT|1|'Whisper'|0\n9|start_time|REAL|0||0\n10|end_time|REAL|0||0\n11|text_length|INTEGER|0||0\n12|sync_id|TEXT|0||0\n13|synced_at|DATETIME|0||0\n[rerun: b5]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get frames, ui_events, video_chunks schemas","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA 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b6]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check data counts and date ranges","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*) FROM ocr_text;\" 2>/dev/null","depth":25,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00\n3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00\n666\n[rerun: b7]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Explore existing pipes for patterns","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\n[rerun: b8]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Read day-recap pipe documentation","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n[rerun: b9]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample app names from frames","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Safari\nActivity Monitor\nDia\niTerm2\nControl Centre\nUserNotificationCenter\nFinder\nClaude\nSlack\nFirefox\nRaycast\nNetAuthAgent\nQuickTime Player\n[rerun: b10]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample joined frame+ocr data for today","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE\n2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER\n2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p\n2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p\n2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi\n[rerun: b11]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample recent audio transcriptions","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09T17:02:52+00:00|.|System Audio\n2026-04-09T16:59:22+00:00|Class is technically...|System Audio\n2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio\n[rerun: b12]","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Good data to work with. Here's what we have:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Screen captures with OCR text, app name, window name (1135 frames so far)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"audio_transcriptions","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Voice/system audio transcripts","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ui_events","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Mouse/keyboard events with app context","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Raw video files","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Before I start building, a few quick questions:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Tech stack","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"AI summaries","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"What summaries matter most?","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Day recap (what apps/windows you used, key text seen)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"App time breakdown (time per app)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Audio/conversation recap","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Custom searchable timeline","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Here's the architecture I'm thinking:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"/volume1/screenpipe/app/\n├── main.py # FastAPI web UI\n├── cli.py # Click CLI: `python cli.py day-recap`\n├── db.py # Read-only queries against db.sqlite\n├── consumers/\n│ ├── activity.py # App usage, time per window\n│ ├── ocr.py # OCR text aggregation + search\n│ ├── audio.py # Transcription queries\n│ └── summary.py # AI summary builder\n└── static/\n └── index.html # Single-page UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"CLI commands would look like:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"python cli.py day-recap # EOD summary\npython cli.py activity --date today # App time breakdown\npython cli.py search \"docker\" # Search OCR/audio text\npython cli.py serve # Launch web UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Does this direction work? Any preferences on the stack or which summaries to prioritize?","depth":22,"role_description":"text"}]...
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-2883720108714655905
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523426972932229729
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click
|
accessibility
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NULL
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
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EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
report.py, preview, Editor Group 1
Build screenpipe data UI…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
remote SSH: [IP_ADDRESS]
SSH: [IP_ADDRESS]
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Update is ready, click to restart.
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Screen Reader Optimized
expanded
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
Copy code to clipboard
OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
Copy code to clipboard
OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
Copy code to clipboard
OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
Copy code to clipboard
OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
Copy code to clipboard
OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
Copy code to clipboard
OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
Copy code to clipboard
OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
Copy code to clipboard
/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
Copy code to clipboard
python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?...
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2026-04-11T17:31:01.468696+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928661468_m1.jpg...
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Code
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Build screenpipe data UI… — screenpipe [SSH: 100.7 Build screenpipe data UI… — screenpipe [SSH: 100.73.206.126]...
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Explorer (⇧⌘E) - 1 unsaved file
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Remote Explorer
Extensions (⇧⌘X) - 2 require update, 1 requires restart
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
report.py, preview, Editor Group 1
Build screenpipe data UI…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
remote SSH: [IP_ADDRESS]
SSH: [IP_ADDRESS]
No Problems
0
0
No Ports Forwarded
0
Update is ready, click to restart.
Update is ready, click to restart.
Notifications
Sign In
Sign In
Screen Reader Optimized
expanded
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
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OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
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OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
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OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
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OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
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OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
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OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
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OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
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OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
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OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
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OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
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OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
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/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
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python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?
Message actions
seesm ok
Thinking
Thinking
Bash
Check Python and available packages
IN
python3 --version && pip3 list 2>/dev/null | grep -E "fastapi|uvicorn|click|anthropic|httpx|jinja"
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OUT
Python 3.11.2
[rerun: b1]
Bash
Verify join works for today's data
IN
sqlite3 /volume1/screenpipe/db.sqlite "
SELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len
FROM frames f JOIN ocr_text o ON f.id = o.frame_id
WHERE DATE(f.timestamp) = '2026-04-11'
ORDER BY f.timestamp DESC LIMIT 3;
"
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OUT
2026-04-11T12:54:42.597794+00:00|||2111
2026-04-11T12:54:41.915916+00:00|||2110
2026-04-11T12:54:39.912712+00:00|||2111
[rerun: b2]
Bash
Install required packages
IN
pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5
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OUT
/bin/bash: line 1: pip3: command not found
[rerun: b3]
Bash
Find pip
IN
which pip || which pip3 || python3 -m pip --version 2>/dev/null
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OUT
Exit code 1
[rerun: b4]
Bash
Bootstrap pip then install packages
IN
python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10
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OUT
Exit code 1
/usr/bin/python3: No module named ensurepip
[rerun: b5]
Bash
Install pip via apt
IN
apt-get install -y python3-pip python3-venv 2>&1 | tail -5
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OUT
E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)
E: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?
[rerun: b6]...
|
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db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Let me explore the screenpipe directory to understand what we're working with.","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List screenpipe directory contents","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"data\ndb.sqlite\npipes\n#recycle\n[rerun: b1]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List data and pipes directories","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09\n2026-04-11\nai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n[rerun: b2]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List tables in screenpipe SQLite database","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \".tables\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"_sqlx_migrations meetings \naudio_chunks memories \naudio_tags memories_fts \naudio_transcriptions memories_fts_config \naudio_transcriptions_fts memories_fts_data \naudio_transcriptions_fts_config memories_fts_docsize \naudio_transcriptions_fts_data memories_fts_idx \naudio_transcriptions_fts_docsize ocr_text \naudio_transcriptions_fts_idx pipe_executions \nelements pipe_scheduler_state \nelements_fts speaker_embeddings \nelements_fts_config speakers \nelements_fts_data tags \nelements_fts_docsize ui_events \nelements_fts_idx ui_events_fts \nframes ui_events_fts_config \nframes_fts ui_events_fts_data \nframes_fts_config ui_events_fts_docsize \nframes_fts_content ui_events_fts_idx \nframes_fts_data video_chunks \nframes_fts_docsize vision_tags \nframes_fts_idx\n[rerun: b3]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get ocr_text table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(ocr_text);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|frame_id|INTEGER|1||0\n1|text|TEXT|1||0\n2|text_json|TEXT|0||0\n3|app_name|TEXT|1|''|0\n4|ocr_engine|TEXT|1|'unknown'|0\n5|window_name|TEXT|0||0\n6|focused|BOOLEAN|0|FALSE|0\n7|text_length|INTEGER|0||0\n8|sync_id|TEXT|0||0\n9|synced_at|DATETIME|0||0\n[rerun: b4]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get audio_transcriptions table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(audio_transcriptions);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|audio_chunk_id|INTEGER|1||0\n2|offset_index|INTEGER|1||0\n3|timestamp|TIMESTAMP|1||0\n4|transcription|TEXT|1||0\n5|device|TEXT|1|''|0\n6|is_input_device|BOOLEAN|1|TRUE|0\n7|speaker_id|INTEGER|0||0\n8|transcription_engine|TEXT|1|'Whisper'|0\n9|start_time|REAL|0||0\n10|end_time|REAL|0||0\n11|text_length|INTEGER|0||0\n12|sync_id|TEXT|0||0\n13|synced_at|DATETIME|0||0\n[rerun: b5]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get frames, ui_events, video_chunks schemas","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|video_chunk_id|INTEGER|0|NULL|0\n2|offset_index|INTEGER|1|0|0\n3|timestamp|TIMESTAMP|1||0\n4|name|TEXT|0||0\n5|app_name|TEXT|0|NULL|0\n6|window_name|TEXT|0|NULL|0\n7|focused|BOOLEAN|0|NULL|0\n8|browser_url|TEXT|0|NULL|0\n9|device_name|TEXT|1|''|0\n10|sync_id|TEXT|0||0\n11|machine_id|TEXT|0||0\n12|synced_at|DATETIME|0||0\n13|snapshot_path|TEXT|0|NULL|0\n14|accessibility_text|TEXT|0|NULL|0\n15|accessibility_tree_json|TEXT|0|NULL|0\n16|content_hash|INTEGER|0|NULL|0\n17|simhash|INTEGER|0|NULL|0\n18|capture_trigger|TEXT|0|NULL|0\n19|text_source|TEXT|0|NULL|0\n20|cloud_blob_id|TEXT|0|NULL|0\n21|full_text|TEXT|0|NULL|0\n22|elements_ref_frame_id|INTEGER|0|NULL|0\n0|id|INTEGER|0||1\n1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0\n2|session_id|TEXT|0||0\n3|relative_ms|INTEGER|1|0|0\n4|event_type|TEXT|1||0\n5|x|INTEGER|0||0\n6|y|INTEGER|0||0\n7|delta_x|INTEGER|0||0\n8|delta_y|INTEGER|0||0\n9|button|INTEGER|0||0\n10|click_count|INTEGER|0||0\n11|key_code|INTEGER|0||0\n12|modifiers|INTEGER|0||0\n13|text_content|TEXT|0||0\n14|text_length|INTEGER|0||0\n15|app_name|TEXT|0||0\n16|app_pid|INTEGER|0||0\n17|window_title|TEXT|0||0\n18|browser_url|TEXT|0||0\n19|element_role|TEXT|0||0\n20|element_name|TEXT|0||0\n21|element_value|TEXT|0||0\n22|element_description|TEXT|0||0\n23|element_automation_id|TEXT|0||0\n24|element_bounds|TEXT|0||0\n25|frame_id|INTEGER|0||0\n26|sync_id|TEXT|0||0\n27|machine_id|TEXT|0||0\n28|synced_at|DATETIME|0||0\n0|id|INTEGER|0||1\n1|file_path|TEXT|1||0\n2|device_name|TEXT|1|''|0\n3|sync_id|TEXT|0||0\n4|machine_id|TEXT|0||0\n5|synced_at|DATETIME|0||0\n6|fps|REAL|1|0.5|0\n7|cloud_blob_id|TEXT|0|NULL|0\n[rerun: b6]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check data counts and date ranges","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*) FROM ocr_text;\" 2>/dev/null","depth":25,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00\n3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00\n666\n[rerun: b7]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Explore existing pipes for patterns","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\n[rerun: b8]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Read day-recap pipe documentation","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n[rerun: b9]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample app names from frames","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Safari\nActivity Monitor\nDia\niTerm2\nControl Centre\nUserNotificationCenter\nFinder\nClaude\nSlack\nFirefox\nRaycast\nNetAuthAgent\nQuickTime Player\n[rerun: b10]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample joined frame+ocr data for today","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE\n2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER\n2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p\n2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p\n2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi\n[rerun: b11]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample recent audio transcriptions","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09T17:02:52+00:00|.|System Audio\n2026-04-09T16:59:22+00:00|Class is technically...|System Audio\n2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio\n[rerun: b12]","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Good data to work with. Here's what we have:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Screen captures with OCR text, app name, window name (1135 frames so far)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"audio_transcriptions","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Voice/system audio transcripts","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ui_events","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Mouse/keyboard events with app context","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Raw video files","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Before I start building, a few quick questions:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Tech stack","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"AI summaries","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"What summaries matter most?","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Day recap (what apps/windows you used, key text seen)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"App time breakdown (time per app)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Audio/conversation recap","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Custom searchable timeline","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Here's the architecture I'm thinking:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"/volume1/screenpipe/app/\n├── main.py # FastAPI web UI\n├── cli.py # Click CLI: `python cli.py day-recap`\n├── db.py # Read-only queries against db.sqlite\n├── consumers/\n│ ├── activity.py # App usage, time per window\n│ ├── ocr.py # OCR text aggregation + search\n│ ├── audio.py # Transcription queries\n│ └── summary.py # AI summary builder\n└── static/\n └── index.html # Single-page UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"CLI commands would look like:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"python cli.py day-recap # EOD summary\npython cli.py activity --date today # App time breakdown\npython cli.py search \"docker\" # Search OCR/audio text\npython cli.py serve # Launch web UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Does this direction work? Any preferences on the stack or which summaries to prioritize?","depth":22,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":23,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"seesm ok","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check Python and available packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"python3 --version && pip3 list 2>/dev/null | grep -E \"fastapi|uvicorn|click|anthropic|httpx|jinja\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Python 3.11.2\n[rerun: b1]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Verify join works for today's data","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"\nSELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len\nFROM frames f JOIN ocr_text o ON f.id = o.frame_id\nWHERE DATE(f.timestamp) = '2026-04-11'\nORDER BY f.timestamp DESC LIMIT 3;\n\"","depth":25,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-11T12:54:42.597794+00:00|||2111\n2026-04-11T12:54:41.915916+00:00|||2110\n2026-04-11T12:54:39.912712+00:00|||2111\n[rerun: b2]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Install required packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"/bin/bash: line 1: pip3: command not found\n[rerun: b3]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Find pip","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"which pip || which pip3 || python3 -m pip --version 2>/dev/null","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\n[rerun: b4]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bootstrap pip then install packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\n/usr/bin/python3: No module named ensurepip\n[rerun: b5]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Install pip via apt","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"apt-get install -y python3-pip python3-venv 2>&1 | tail -5","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)\nE: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?\n[rerun: b6]","depth":23,"role_description":"text"}]...
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-4563309486379008757
|
388312387041331809
|
idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update, 1 requires restart
3
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
report.py, preview, Editor Group 1
Build screenpipe data UI…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
remote SSH: [IP_ADDRESS]
SSH: [IP_ADDRESS]
No Problems
0
0
No Ports Forwarded
0
Update is ready, click to restart.
Update is ready, click to restart.
Notifications
Sign In
Sign In
Screen Reader Optimized
expanded
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
Copy code to clipboard
OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
Copy code to clipboard
OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
Copy code to clipboard
OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
Copy code to clipboard
OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
Copy code to clipboard
OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
Copy code to clipboard
OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
Copy code to clipboard
OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
Copy code to clipboard
/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
Copy code to clipboard
python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?
Message actions
seesm ok
Thinking
Thinking
Bash
Check Python and available packages
IN
python3 --version && pip3 list 2>/dev/null | grep -E "fastapi|uvicorn|click|anthropic|httpx|jinja"
Copy code to clipboard
OUT
Python 3.11.2
[rerun: b1]
Bash
Verify join works for today's data
IN
sqlite3 /volume1/screenpipe/db.sqlite "
SELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len
FROM frames f JOIN ocr_text o ON f.id = o.frame_id
WHERE DATE(f.timestamp) = '2026-04-11'
ORDER BY f.timestamp DESC LIMIT 3;
"
Copy code to clipboard
OUT
2026-04-11T12:54:42.597794+00:00|||2111
2026-04-11T12:54:41.915916+00:00|||2110
2026-04-11T12:54:39.912712+00:00|||2111
[rerun: b2]
Bash
Install required packages
IN
pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5
Copy code to clipboard
OUT
/bin/bash: line 1: pip3: command not found
[rerun: b3]
Bash
Find pip
IN
which pip || which pip3 || python3 -m pip --version 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
[rerun: b4]
Bash
Bootstrap pip then install packages
IN
python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10
Copy code to clipboard
OUT
Exit code 1
/usr/bin/python3: No module named ensurepip
[rerun: b5]
Bash
Install pip via apt
IN
apt-get install -y python3-pip python3-venv 2>&1 | tail -5
Copy code to clipboard
OUT
E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)
E: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?
[rerun: b6]...
|
NULL
|
|
1468
|
32
|
37
|
2026-04-11T17:31:03.082589+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928663082_m1.jpg...
|
Activity Monitor
|
Activity Monitor – All Processes
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
Physical Memory:
16,00 GB
Memory Used:
13,32 GB
Ca Physical Memory:
16,00 GB
Memory Used:
13,32 GB
Cached Files:
2,66 GB
Swap Used:
0 bytes
6,19 GB
Wired Memory:
Compressed:
1,96 GB
4,59 GB
App Memory:
MEMORY PRESSURE
Claude Helper (Renderer)
683,7 MB
15
218
2517
lukas
Firefox
642,7 MB
89
797
16623
lukas
WindowServer
627,2 MB
22
6 113
407
_windowserver
FirefoxCP Isolated Web Content
586,8 MB
24
120
18343
lukas
FirefoxCP Isolated Web Content
586,3 MB
27
125
18287
lukas
FirefoxCP Isolated Web Content
576,5 MB
24
121
16656
lukas
Firefox GPU Helper
538,0 MB
30
243
16628
lukas
Notion Helper (Renderer)
364,5 MB
20
315
1148
lukas
FirefoxCP Isolated Web Content
352,3 MB
30
137
16799
lukas
FirefoxCP Isolated Web Content
352,0 MB
24
116
17335
lukas
FirefoxCP Isolated Web Content
322,3 MB
27
127
16750
lukas
Postman Helper (Renderer)
292,7 MB
24
253
42547
lukas
Code Helper (Renderer)
271,9 MB
20
308
32708
lukas
FirefoxCP Isolated Web Content
232,9 MB
24
121
17319
lukas
iTerm2
216,2 MB
7
919
4878
lukas
FirefoxCP Privileged Mozilla
195,4 MB
23
125
18134
lukas
Code Helper (Renderer)
181,0 MB
16
167
42991
lukas
Claude
180,0 MB
55
713
2501
lukas
FirefoxCP Isolated Web Content
177,2 MB
23
118
18359
lukas
FirefoxCP Isolated Web Content
176,6 MB
23
121
42273
lukas
Code Helper (GPU)
161,6 MB
19
200
32705
lukas
FirefoxCP WebExtensions
158,8 MB
24
116
16633
lukas
Postman
148,0 MB
46
430
42531
lukas
Code
145,8 MB
42
598
32700
lukas
Wispr Flow Helper (GPU)
138,4 MB
17
224
3813
lukas
Bitwarden Helper (Renderer)
138,3 MB
17
208
16862
lukas
CursorUIViewService (Not Responding)
134,1 MB
3
4 550
842
lukas
FirefoxCP Isolated Web Content
128,0 MB
22
113
18346
lukas
FirefoxCP Isolated Web Content
127,7 MB
23
118
26456
lukas
Wispr Flow
126,9 MB
50
535
3800
lukas
Wispr Flow Helper (Renderer)
117,1 MB
23
486
3837
lukas
Raycast
110,1 MB
10
407
38842
lukas
Finder
102,4 MB
6
517
743
lukas
FirefoxCP Isolated Web Content
99,5 MB
23
114
18293
lukas
Claude Helper
95,8 MB
18
207
2511
lukas
FirefoxCP Isolated Web Content
88,2 MB
23
116
27445
lukas
FirefoxCP Privileged Content
88,1 MB
22
116
16644
lukas
Activity Monitor
86,7 MB
5
385
17101
lukas
FirefoxCP Isolated Web Content
85,8 MB
23
114
18329
lukas
FirefoxCP Isolated Web Content
84,6 MB
24
121
17432
lukas
Code Helper
83,5 MB
23
112
32929
lukas
Notion
82,0 MB
45
527
843
lukas
FirefoxCP Isolated Web Content
79,2 MB
22
112
18290
lukas
Bitwarden
78,2 MB
44
482
16856
lukas
FirefoxCP Isolated Web Content
77,1 MB
23
114
18320
lukas
Firefox Media Plugin Helper
76,8 MB
6
72
26451
lukas
loginwindow
76,4 MB
3
606
410
lukas
VTDecoderXPCService
76,3 MB
2
72
995
lukas
FirefoxCP Isolated Web Content
74,6 MB
22
113
18330
lukas
Notion Helper (Renderer)
74,3 MB
18
171
1822
lukas
Code Helper (Plugin)
59,6 MB
22
120
42911
lukas
Wispr Flow Helper (Renderer)
59,3 MB
17
362
3834
lukas
1Password
58,8 MB...
|
[{"role":"AXStaticText","text& [{"role":"AXStaticText","text":"Physical Memory:","depth":3,"automation_id":"_NS:456","help_text":"Total amount of memory installed in this computer.","role_description":"text"},{"role":"AXStaticText","text":"16,00 GB","depth":3,"automation_id":"_NS:448","help_text":"Total amount of memory installed in this computer.","role_description":"text"},{"role":"AXStaticText","text":"Memory Used:","depth":3,"bounds":{"left":0.85833335,"top":0.0,"width":0.05625,"height":0.015555556},"automation_id":"_NS:441","help_text":"Amount of physical memory that is in use by apps or the system.","role_description":"text"},{"role":"AXStaticText","text":"13,32 GB","depth":3,"bounds":{"left":0.9409722,"top":0.0,"width":0.038194444,"height":0.015555556},"automation_id":"_NS:435","help_text":"Amount of physical memory that is in use by apps or the system.","role_description":"text"},{"role":"AXStaticText","text":"Cached 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MB","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"44","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"482","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"16856","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"lukas","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"FirefoxCP Isolated Web Content","depth":5,"automation_id":"_NS:31","role_description":"text"},{"role":"AXStaticText","text":"77,1 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MB","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"22","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"113","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"18330","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"lukas","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"Notion Helper (Renderer)","depth":5,"automation_id":"_NS:31","role_description":"text"},{"role":"AXStaticText","text":"74,3 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MB","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"17","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"362","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"3834","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"lukas","depth":5,"automation_id":"_NS:9","role_description":"text"},{"role":"AXStaticText","text":"1Password","depth":5,"bounds":{"left":0.5083333,"top":0.0,"width":0.175,"height":0.015555556},"automation_id":"_NS:31","role_description":"text"},{"role":"AXStaticText","text":"58,8 MB","depth":5,"bounds":{"left":0.6951389,"top":0.0,"width":0.044444446,"height":0.015555556},"automation_id":"_NS:9","role_description":"text"}]...
|
5393706182861645365
|
538643591658919879
|
app_switch
|
accessibility
|
NULL
|
Physical Memory:
16,00 GB
Memory Used:
13,32 GB
Ca Physical Memory:
16,00 GB
Memory Used:
13,32 GB
Cached Files:
2,66 GB
Swap Used:
0 bytes
6,19 GB
Wired Memory:
Compressed:
1,96 GB
4,59 GB
App Memory:
MEMORY PRESSURE
Claude Helper (Renderer)
683,7 MB
15
218
2517
lukas
Firefox
642,7 MB
89
797
16623
lukas
WindowServer
627,2 MB
22
6 113
407
_windowserver
FirefoxCP Isolated Web Content
586,8 MB
24
120
18343
lukas
FirefoxCP Isolated Web Content
586,3 MB
27
125
18287
lukas
FirefoxCP Isolated Web Content
576,5 MB
24
121
16656
lukas
Firefox GPU Helper
538,0 MB
30
243
16628
lukas
Notion Helper (Renderer)
364,5 MB
20
315
1148
lukas
FirefoxCP Isolated Web Content
352,3 MB
30
137
16799
lukas
FirefoxCP Isolated Web Content
352,0 MB
24
116
17335
lukas
FirefoxCP Isolated Web Content
322,3 MB
27
127
16750
lukas
Postman Helper (Renderer)
292,7 MB
24
253
42547
lukas
Code Helper (Renderer)
271,9 MB
20
308
32708
lukas
FirefoxCP Isolated Web Content
232,9 MB
24
121
17319
lukas
iTerm2
216,2 MB
7
919
4878
lukas
FirefoxCP Privileged Mozilla
195,4 MB
23
125
18134
lukas
Code Helper (Renderer)
181,0 MB
16
167
42991
lukas
Claude
180,0 MB
55
713
2501
lukas
FirefoxCP Isolated Web Content
177,2 MB
23
118
18359
lukas
FirefoxCP Isolated Web Content
176,6 MB
23
121
42273
lukas
Code Helper (GPU)
161,6 MB
19
200
32705
lukas
FirefoxCP WebExtensions
158,8 MB
24
116
16633
lukas
Postman
148,0 MB
46
430
42531
lukas
Code
145,8 MB
42
598
32700
lukas
Wispr Flow Helper (GPU)
138,4 MB
17
224
3813
lukas
Bitwarden Helper (Renderer)
138,3 MB
17
208
16862
lukas
CursorUIViewService (Not Responding)
134,1 MB
3
4 550
842
lukas
FirefoxCP Isolated Web Content
128,0 MB
22
113
18346
lukas
FirefoxCP Isolated Web Content
127,7 MB
23
118
26456
lukas
Wispr Flow
126,9 MB
50
535
3800
lukas
Wispr Flow Helper (Renderer)
117,1 MB
23
486
3837
lukas
Raycast
110,1 MB
10
407
38842
lukas
Finder
102,4 MB
6
517
743
lukas
FirefoxCP Isolated Web Content
99,5 MB
23
114
18293
lukas
Claude Helper
95,8 MB
18
207
2511
lukas
FirefoxCP Isolated Web Content
88,2 MB
23
116
27445
lukas
FirefoxCP Privileged Content
88,1 MB
22
116
16644
lukas
Activity Monitor
86,7 MB
5
385
17101
lukas
FirefoxCP Isolated Web Content
85,8 MB
23
114
18329
lukas
FirefoxCP Isolated Web Content
84,6 MB
24
121
17432
lukas
Code Helper
83,5 MB
23
112
32929
lukas
Notion
82,0 MB
45
527
843
lukas
FirefoxCP Isolated Web Content
79,2 MB
22
112
18290
lukas
Bitwarden
78,2 MB
44
482
16856
lukas
FirefoxCP Isolated Web Content
77,1 MB
23
114
18320
lukas
Firefox Media Plugin Helper
76,8 MB
6
72
26451
lukas
loginwindow
76,4 MB
3
606
410
lukas
VTDecoderXPCService
76,3 MB
2
72
995
lukas
FirefoxCP Isolated Web Content
74,6 MB
22
113
18330
lukas
Notion Helper (Renderer)
74,3 MB
18
171
1822
lukas
Code Helper (Plugin)
59,6 MB
22
120
42911
lukas
Wispr Flow Helper (Renderer)
59,3 MB
17
362
3834
lukas
1Password
58,8 MB...
|
NULL
|
|
1469
|
32
|
38
|
2026-04-11T17:31:05.672507+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928665672_m1.jpg...
|
System Settings
|
Appearance
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
Search
Lukas Kovalik, Apple ID
1
1
Wi‑Fi
Bluetooth Search
Lukas Kovalik, Apple ID
1
1
Wi‑Fi
Bluetooth
Network
VPN
Notifications
Sound
Focus
Screen Time
General
Appearance
Accessibility
Control Centre
Siri & Spotlight
Privacy & Security
Desktop & Dock
Displays
Wallpaper
Screen Saver
Battery
Lock Screen
Touch ID & Password
Users & Groups
Passwords
Internet Accounts
Game Center
Wallet & Apple Pay
Keyboard
Mouse
Trackpad
Printers & Scanners
Appearance
Light
Dark
Auto
Accent colour
Multicolour
Blue
Purple
Pink
Red
Orange...
|
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|
-768773058401852050
|
8555651664244700337
|
visual_change
|
accessibility
|
NULL
|
Search
Lukas Kovalik, Apple ID
1
1
Wi‑Fi
Bluetooth Search
Lukas Kovalik, Apple ID
1
1
Wi‑Fi
Bluetooth
Network
VPN
Notifications
Sound
Focus
Screen Time
General
Appearance
Accessibility
Control Centre
Siri & Spotlight
Privacy & Security
Desktop & Dock
Displays
Wallpaper
Screen Saver
Battery
Lock Screen
Touch ID & Password
Users & Groups
Passwords
Internet Accounts
Game Center
Wallet & Apple Pay
Keyboard
Mouse
Trackpad
Printers & Scanners
Appearance
Light
Dark
Auto
Accent colour
Multicolour
Blue
Purple
Pink
Red
Orange...
|
1468
|
|
1473
|
32
|
42
|
2026-04-11T17:31:23.291659+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928683291_m1.jpg...
|
Code
|
report.py — screenpipe [SSH: 100.73.206.126]
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
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SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
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__init__.py
activity.py
audio.py
ocr.py
report.py
summary.py
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pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
Build screenpipe data UI…, Editor Group 2
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Ln 17, Col 87
Screen Reader Optimized
expanded
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
Copy code to clipboard
OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
Copy code to clipboard
OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
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OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
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OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
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OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
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OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
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OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
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OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
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OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
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/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
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python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?
Message actions
seesm ok
Thinking
Thinking
Bash
Check Python and available packages
IN
python3 --version && pip3 list 2>/dev/null | grep -E "fastapi|uvicorn|click|anthropic|httpx|jinja"
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OUT
Python 3.11.2
[rerun: b1]
Bash
Verify join works for today's data
IN
sqlite3 /volume1/screenpipe/db.sqlite "
SELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len
FROM frames f JOIN ocr_text o ON f.id = o.frame_id
WHERE DATE(f.timestamp) = '2026-04-11'
ORDER BY f.timestamp DESC LIMIT 3;
"
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OUT
2026-04-11T12:54:42.597794+00:00|||2111
2026-04-11T12:54:41.915916+00:00|||2110
2026-04-11T12:54:39.912712+00:00|||2111
[rerun: b2]
Bash
Install required packages
IN
pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5
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OUT
/bin/bash: line 1: pip3: command not found
[rerun: b3]
Bash
Find pip
IN
which pip || which pip3 || python3 -m pip --version 2>/dev/null
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OUT
Exit code 1
[rerun: b4]
Bash
Bootstrap pip then install packages
IN
python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10...
|
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Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"report.py, preview, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXStaticText","text":"","depth":29,"role_description":"text"},{"role":"AXStaticText","text":"","depth":29,"role_description":"text"},{"role":"AXTextArea","text":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","depth":28,"value":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","depth":29,"role_description":"text"},{"role":"AXRadioButton","text":"Build screenpipe data UI…, Editor Group 2","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Ports","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"role_description":"text"},{"role":"AXButton","text":"remote SSH: 100.73.206.126","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"SSH: 100.73.206.126","depth":17,"role_description":"text"},{"role":"AXButton","text":"No Problems","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXButton","text":"No Ports Forwarded","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXButton","text":"Update is ready, click to restart.","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"Update is ready, click to restart.","depth":17,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"role_description":"text"},{"role":"AXButton","text":"Python","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 4","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 17, Col 87","depth":16,"bounds":{"left":1.0,"top":0.0,"width":-0.0645833,"height":0.024444444},"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Screen Reader Optimized","depth":16,"bounds":{"left":0.9513889,"top":0.0,"width":0.048611104,"height":0.024444444},"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"expanded","depth":12,"role_description":"text"},{"role":"AXButton","text":"Build screenpipe data UI and summary app","depth":18,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":18,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":18,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":23,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Let me explore the screenpipe directory to understand what we're working with.","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List screenpipe directory contents","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"data\ndb.sqlite\npipes\n#recycle\n[rerun: b1]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List data and pipes directories","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09\n2026-04-11\nai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n[rerun: b2]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List tables in screenpipe SQLite database","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \".tables\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"_sqlx_migrations meetings \naudio_chunks memories \naudio_tags memories_fts \naudio_transcriptions memories_fts_config \naudio_transcriptions_fts memories_fts_data \naudio_transcriptions_fts_config memories_fts_docsize \naudio_transcriptions_fts_data memories_fts_idx \naudio_transcriptions_fts_docsize ocr_text \naudio_transcriptions_fts_idx pipe_executions \nelements pipe_scheduler_state \nelements_fts speaker_embeddings \nelements_fts_config speakers \nelements_fts_data tags \nelements_fts_docsize ui_events \nelements_fts_idx ui_events_fts \nframes ui_events_fts_config \nframes_fts ui_events_fts_data \nframes_fts_config ui_events_fts_docsize \nframes_fts_content ui_events_fts_idx \nframes_fts_data video_chunks \nframes_fts_docsize vision_tags \nframes_fts_idx\n[rerun: b3]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get ocr_text table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(ocr_text);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|frame_id|INTEGER|1||0\n1|text|TEXT|1||0\n2|text_json|TEXT|0||0\n3|app_name|TEXT|1|''|0\n4|ocr_engine|TEXT|1|'unknown'|0\n5|window_name|TEXT|0||0\n6|focused|BOOLEAN|0|FALSE|0\n7|text_length|INTEGER|0||0\n8|sync_id|TEXT|0||0\n9|synced_at|DATETIME|0||0\n[rerun: b4]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get audio_transcriptions table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(audio_transcriptions);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|audio_chunk_id|INTEGER|1||0\n2|offset_index|INTEGER|1||0\n3|timestamp|TIMESTAMP|1||0\n4|transcription|TEXT|1||0\n5|device|TEXT|1|''|0\n6|is_input_device|BOOLEAN|1|TRUE|0\n7|speaker_id|INTEGER|0||0\n8|transcription_engine|TEXT|1|'Whisper'|0\n9|start_time|REAL|0||0\n10|end_time|REAL|0||0\n11|text_length|INTEGER|0||0\n12|sync_id|TEXT|0||0\n13|synced_at|DATETIME|0||0\n[rerun: b5]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get frames, ui_events, video_chunks schemas","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|video_chunk_id|INTEGER|0|NULL|0\n2|offset_index|INTEGER|1|0|0\n3|timestamp|TIMESTAMP|1||0\n4|name|TEXT|0||0\n5|app_name|TEXT|0|NULL|0\n6|window_name|TEXT|0|NULL|0\n7|focused|BOOLEAN|0|NULL|0\n8|browser_url|TEXT|0|NULL|0\n9|device_name|TEXT|1|''|0\n10|sync_id|TEXT|0||0\n11|machine_id|TEXT|0||0\n12|synced_at|DATETIME|0||0\n13|snapshot_path|TEXT|0|NULL|0\n14|accessibility_text|TEXT|0|NULL|0\n15|accessibility_tree_json|TEXT|0|NULL|0\n16|content_hash|INTEGER|0|NULL|0\n17|simhash|INTEGER|0|NULL|0\n18|capture_trigger|TEXT|0|NULL|0\n19|text_source|TEXT|0|NULL|0\n20|cloud_blob_id|TEXT|0|NULL|0\n21|full_text|TEXT|0|NULL|0\n22|elements_ref_frame_id|INTEGER|0|NULL|0\n0|id|INTEGER|0||1\n1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0\n2|session_id|TEXT|0||0\n3|relative_ms|INTEGER|1|0|0\n4|event_type|TEXT|1||0\n5|x|INTEGER|0||0\n6|y|INTEGER|0||0\n7|delta_x|INTEGER|0||0\n8|delta_y|INTEGER|0||0\n9|button|INTEGER|0||0\n10|click_count|INTEGER|0||0\n11|key_code|INTEGER|0||0\n12|modifiers|INTEGER|0||0\n13|text_content|TEXT|0||0\n14|text_length|INTEGER|0||0\n15|app_name|TEXT|0||0\n16|app_pid|INTEGER|0||0\n17|window_title|TEXT|0||0\n18|browser_url|TEXT|0||0\n19|element_role|TEXT|0||0\n20|element_name|TEXT|0||0\n21|element_value|TEXT|0||0\n22|element_description|TEXT|0||0\n23|element_automation_id|TEXT|0||0\n24|element_bounds|TEXT|0||0\n25|frame_id|INTEGER|0||0\n26|sync_id|TEXT|0||0\n27|machine_id|TEXT|0||0\n28|synced_at|DATETIME|0||0\n0|id|INTEGER|0||1\n1|file_path|TEXT|1||0\n2|device_name|TEXT|1|''|0\n3|sync_id|TEXT|0||0\n4|machine_id|TEXT|0||0\n5|synced_at|DATETIME|0||0\n6|fps|REAL|1|0.5|0\n7|cloud_blob_id|TEXT|0|NULL|0\n[rerun: b6]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check data counts and date ranges","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*) FROM ocr_text;\" 2>/dev/null","depth":25,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00\n3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00\n666\n[rerun: b7]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Explore existing pipes for patterns","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\n[rerun: b8]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Read day-recap pipe documentation","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n[rerun: b9]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample app names from frames","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Safari\nActivity Monitor\nDia\niTerm2\nControl Centre\nUserNotificationCenter\nFinder\nClaude\nSlack\nFirefox\nRaycast\nNetAuthAgent\nQuickTime Player\n[rerun: b10]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample joined frame+ocr data for today","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE\n2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER\n2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p\n2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p\n2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi\n[rerun: b11]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample recent audio transcriptions","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09T17:02:52+00:00|.|System Audio\n2026-04-09T16:59:22+00:00|Class is technically...|System Audio\n2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio\n[rerun: b12]","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Good data to work with. Here's what we have:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Screen captures with OCR text, app name, window name (1135 frames so far)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"audio_transcriptions","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Voice/system audio transcripts","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ui_events","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Mouse/keyboard events with app context","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Raw video files","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Before I start building, a few quick questions:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Tech stack","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"AI summaries","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"What summaries matter most?","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Day recap (what apps/windows you used, key text seen)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"App time breakdown (time per app)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Audio/conversation recap","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Custom searchable timeline","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Here's the architecture I'm thinking:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"/volume1/screenpipe/app/\n├── main.py # FastAPI web UI\n├── cli.py # Click CLI: `python cli.py day-recap`\n├── db.py # Read-only queries against db.sqlite\n├── consumers/\n│ ├── activity.py # App usage, time per window\n│ ├── ocr.py # OCR text aggregation + search\n│ ├── audio.py # Transcription queries\n│ └── summary.py # AI summary builder\n└── static/\n └── index.html # Single-page UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"CLI commands would look like:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"python cli.py day-recap # EOD summary\npython cli.py activity --date today # App time breakdown\npython cli.py search \"docker\" # Search OCR/audio text\npython cli.py serve # Launch web UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Does this direction work? Any preferences on the stack or which summaries to prioritize?","depth":22,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":23,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"seesm ok","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check Python and available packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"python3 --version && pip3 list 2>/dev/null | grep -E \"fastapi|uvicorn|click|anthropic|httpx|jinja\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Python 3.11.2\n[rerun: b1]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Verify join works for today's data","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"\nSELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len\nFROM frames f JOIN ocr_text o ON f.id = o.frame_id\nWHERE DATE(f.timestamp) = '2026-04-11'\nORDER BY f.timestamp DESC LIMIT 3;\n\"","depth":25,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-11T12:54:42.597794+00:00|||2111\n2026-04-11T12:54:41.915916+00:00|||2110\n2026-04-11T12:54:39.912712+00:00|||2111\n[rerun: b2]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Install required packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"/bin/bash: line 1: pip3: command not found\n[rerun: b3]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Find pip","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"which pip || which pip3 || python3 -m pip --version 2>/dev/null","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\n[rerun: b4]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bootstrap pip then install packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10","depth":24,"role_description":"text"}]...
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Explorer (⇧⌘E) - 1 unsaved file
1
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
Build screenpipe data UI…, Editor Group 2
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Ln 17, Col 87
Screen Reader Optimized
expanded
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
Copy code to clipboard
OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
Copy code to clipboard
OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
Copy code to clipboard
OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
Copy code to clipboard
OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
Copy code to clipboard
OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
Copy code to clipboard
OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
Copy code to clipboard
OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
Copy code to clipboard
/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
Copy code to clipboard
python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?
Message actions
seesm ok
Thinking
Thinking
Bash
Check Python and available packages
IN
python3 --version && pip3 list 2>/dev/null | grep -E "fastapi|uvicorn|click|anthropic|httpx|jinja"
Copy code to clipboard
OUT
Python 3.11.2
[rerun: b1]
Bash
Verify join works for today's data
IN
sqlite3 /volume1/screenpipe/db.sqlite "
SELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len
FROM frames f JOIN ocr_text o ON f.id = o.frame_id
WHERE DATE(f.timestamp) = '2026-04-11'
ORDER BY f.timestamp DESC LIMIT 3;
"
Copy code to clipboard
OUT
2026-04-11T12:54:42.597794+00:00|||2111
2026-04-11T12:54:41.915916+00:00|||2110
2026-04-11T12:54:39.912712+00:00|||2111
[rerun: b2]
Bash
Install required packages
IN
pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5
Copy code to clipboard
OUT
/bin/bash: line 1: pip3: command not found
[rerun: b3]
Bash
Find pip
IN
which pip || which pip3 || python3 -m pip --version 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
[rerun: b4]
Bash
Bootstrap pip then install packages
IN
python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10...
|
NULL
|
|
1474
|
32
|
43
|
2026-04-11T17:31:26.528169+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928686528_m1.jpg...
|
Firefox
|
Irán – Denník N — Personal
|
True
|
dennikn.sk/tema/iran/
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
DXP4800PLUS-B5F8
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...
|
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IRÁN
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VIKTOR ORBÁN
VIKTOR ORBÁN
VOJNA NA UKRAJINE
VOJNA NA UKRAJINE
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ODOBERAŤ
ODOBERAŤ
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10. APRÍLA 2026 11:04
DONALD TRUMP
DONALD TRUMP
IRÁN
IRÁN
JEFFREY EPSTEIN
JEFFREY EPSTEIN
KONFLIKT NA BLÍZKOM VÝCHODE
KONFLIKT NA BLÍZKOM VÝCHODE
TRUMPOV SVET (VÝVOJ V BIELOM DOME)
TRUMPOV SVET (VÝVOJ V BIELOM DOME)
USA
USA
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Trumpov svet (vývoj v Bielom dome) Trumpov svet (445. deň): Melania Trump náhle prehovorila o Epsteinovi a nikto nevie prečo
Trumpov svet (445. deň): Melania Trump náhle prehovorila o Epsteinovi a nikto nevie prečo
Jiří Sobota Jiří Sobota
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ODOBERAŤ
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Odoberať
ODOBERAŤ
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Odstrániť zo zoznamu na neskôr
ČÍTAŤ NESKÔR
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Odomknúť
ODOMKNÚŤ
Melania Trump počas tlačovej konferencie. Foto - TASR/AP
Melania Trump počas tlačovej konferencie. Foto – TASR/AP
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Prečítajte si viac o
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počúvaní Denníka N
.
Melania Trump sa z ničoho nič dištancovala od Epsteina.
Prímerie na Blízkom východe sa rozpadá.
Newyorský starosta Zohran Mamdani zatiaľ nezavedie autobusy zadarmo.
Proti Trumpovi sa obracajú aj jeho niekdajší stúpenci.
Informácie v tomto texte sú zhrnutím udalostí za štvrtok 9. apríla.
Prvá dáma Spojených štátov Melania Trump nečakane usporiadala tlačovú konferenciu, na ktorej podobne neočakávane vyhlásila, že nemá nič spoločné so sexuálnym delikventom Jeffreym Epsteinom. Hovorila, že nebola jeho obeťou a že to nebol Jeffrey Epstein, kto ju zoznámil s jej neskorším manželom a dnešným prezidentom Donaldom Trumpom.
„Epstein ma nezoznámil s Donaldom Trumpom. Spoznala som ho náhodou. Toto prvé stretnutie s mojím manželom je opísané v mojej knihe,“ pove
dala Melania Trump.
Manželka prezidenta tiež vyzvala, aby všetky Epsteinove obete mali právo vypovedať pred vyšetrovacou komisiou amerického kongresu.
Nikiti Halkidiki, Greece
Nikiti Halkidiki, Greece
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[ Odoberajte newsletter Trumpov svet, ktorý podrobne mapuje dramatický vývoj v Spojených štátoch a ich vplyv na nás. Vychádza každý pracovný deň na obed.
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Americké médiá reagovali na vyhlásenie s istým úžasom, pretože téma tlačovej konferencie nebola vopred ohlásená a načasovanie oznámenia zostáva záhadou.
„Vyhlásenie prvej dámy prišlo v čase, keď sa Biely dom sústredil na dohodu o prímerí s Iránom. Vládnych predstaviteľov jej vystúpenie prekvapilo,“
napísal
napísal
denník Wall Street Journal.
Podľa denníka
Podľa denníka
New York Times Donald Trump o vystúpení svojej manželky vopred
vedel.
Prvá dáma hovorila o „početných falošných fotografiách a výrokoch, ktoré sa týkajú Epsteina a mňa samotnej“, ktoré kolujú po sociálnych sieťach. „Lži, ktoré ma spájajú s hanebným Jeffrey
m Epsteinom, musia od tohto okamihu prestať,“ dodala s tým, že chce „očistiť svoje dobré meno“.
Niektoré médiá upozornili na skutočnosť, že vo zverejnených Epsteinových dokumentoch sa nachádza mail, ktorý práve Melania Trump zaslala Epsteinovej odsúdenej spolupracovníčke Ghislaine Maxwell v roku 2002. Žena podpísaná ako Melania v maili chváli profil Jeffreyho Epsteina čerstvo zverejnený v časopise New York.
Vo svojom štvrtkovom vystúpení vyhlásila, že ku Ghislaine Maxwell nikdy nemala žiadny vzťah a že išlo iba o zdvorilostnú korešpondenciu. „Moja zdvorilá odpoveď na jej e-mail nie je ničím iným než triviálnym odkazom,“ vysvetlila prvá dáma.
Donald Trump aj jeho žena sa na začiatku nultých rokov pohybovali v rovnakých spoločenských kruhoch ako Je
ffrey Epstein. Spomínaný Epsteinov profil v magazíne New York obsahuje známu Trumpovu citáciu, že Epstein je „skvelý chlapík, s ktorým je zábava“.
„Hovorí sa dokonca, že má rád krásne ženy rovnako ako ja a že mnohé z nich patria skôr k tým mladším,“ povedal Trump o Epsteinovi.
Открий новите колекции Global Brands Store
Открий новите колекции
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Donald Trump sa v Epsteinových spisoch objavuje viackrát, žiadne zverejnené informácie však nepreukazujú, že by sa dopustil niečoho nezákonného. Prezident trvá na tom, že s Epsteinom prerušil kontakty predtým, než ho v roku 2006 usvedčili z trestných činov, a že o jeho trestnej činnosti nič nevedel. To isté tvrdí Melania Trump.
Zobraziť väčšie rozlíšenie
Melania Trump. Foto – TASR/AP
Prímerie na Blízkom východe sa otriasa v základoch.
Hormuzský prieplav zostávala v podstate uzavretý, zatiaľ čo Izrael p
okračoval vo svojej ofenzíve proti hnutiu Hizballáh v Libanone.
Prezident Donald Trump vyhlásil, že „Irán robí veľmi zlú prácu“, pokiaľ ide o dopravu ropy cez Hormuzský prieplav, a že súčasný stav „nie je dohodou, ktorú sme uzavreli“.
Kľúčovým dopravným uzlom vo štvrtok prešlo len
niekoľko lodí
niekoľko lodí
a Irán za ich prejazd požaduje mýto. „Máme správy, že Irán si za priechod Hormuzským prielivom účtuje poplatky. Ak to robia, mali by s tým prestať,“ napísal Donald Trump na svojej sociálnej sieti Truth Social.
Tankery, ktoré by sa odvážili prieplavom preplávať, čelia hneď niekoľkým ťažkostiam. Podstupujú riziko, že sa ocitnú pod paľbou iránskych ozbrojených síl alebo ich napríklad poškodia míny. Musia riešiť aj vysoké ceny poistenia, pokiaľ je vôbec dostup
né. A v prípade, že si Irán za priechod účtuje mýto, dochádza zrejme k
porušovaniu embarga
porušovaniu embarga
, ktoré na Irán uvalili Spojené štáty.
reklama
Irán údajne za priechod požaduje až
dva milióny dolárov
dva milióny dolárov
v kryptomenách. V prípade, že by si svoju nadvládu nad prieplavom a s ňou spojenú možnosť vyberať mýto udržal, mohlo by to pre krajinu teoreticky znamenať mimoriadny príjem vo výške desiatok miliárd dolárov ročne.
Donald Trump medzitým telefonoval s izraelským premiérom Benjaminom Netanjahuom. Po telefonáte
vyhlásil
vyhlásil
, že predsedu izraelskej vlády požiadal o utlmenie bojov v Libanone.
„Volal som Bibimu a ten sľúbil, že boje stlmí. Myslím si, že sa musíme držať trochu viac pri zemi,“
vyhlásil
vyhlásil
Trump.
Prezident už predtým súhlasil s Netanjahuom v názore, že útoky proti H
izballáhu v Libanone nie sú súčasťou dohody o prímerí. Irán tvrdí opak. Trumpovo naliehanie na Izrael sa zhoduje s podobnými výrokmi jeho viceprezidenta J. D. Vanca, podľa ktorého sa „Izraelčania teraz budú trochu kontrolovať“.
V noci však došlo v Libanone aj v Izraeli k ďalším útokom. Izraelské letectvo bombardovalo na území svojho suseda, Hizballáh vypálil rakety na niekoľko cieľov v Izraeli. Izraelský premiér
uviedol
uviedol
, že v „Libanone nijaké prímerie nepanuje“.
Iránsky najvyšší vodca Modžtabá Chámeneí dal v iránskej televízii prečítať vyhlásenie, že si vyhradzuje právo na odvetu za útoky USA a Izraela na jeho krajinu a jej spojencov, medzi ktorých patrí aj libanonské hnutie Hizballáh.
Newyorský starosta Zohran Mamdani pripustil
, že tento rok v Ne
w Yorku nezavedie autobusovú dopravu zadarmo. Uviedol to v
telefonickom rozhovore
telefonickom rozhovore
so serverom Politico. Sľub verejnej bezplatnej autobusovej dopravy bol jedným z ťahákov Mamdaniho oslnivej predvolebnej kampane.
Newyorská radnica však nemôže svoj plán uskutočniť bez spolupráce so štátom New York a jeho guvernérkou Kathy Hochul. Ako v otázke uviedol spomínaný server, rozpočtovú položku umožňujúcu pilotný projekt bezplatných autobusov nikto nenavrhol.
Zobraziť väčšie rozlíšenie
Starosta New Yorku Zohran Mamdani. Foto – TASR/AP
Mamdani zdôraznil, že zákonodarcovia v princípe nie sú proti a že rokovania pokračujú. „Na myšlienke zaviesť rýchlu a bezplatnú autobusovú dopravu stále trvám a rozhovory, ktoré o tom vedieme s guvernérkou a lídrami zákonodarcov, sú pre nás povzbudivé.
Rok 2026 považujeme za prvý krok,“ uviedol.
Rozhovor vyvolal predvídateľnú kritiku konzervatívnych oponentov progresívneho starostu. „Ako sa ukazuje, socialistické slogany zvyčajne neprežijú zrážku s realitou,“
napísal
napísal
napríklad na sieti X hovorca Národného republikánskeho kongresového výboru Mike Marinella.
Mamdani je vo funkcii len od januára tohto roka.
Citát dňa:
Citát dňa:
„Sú to stupídni ľudia. Vedia to o sebe, ich rodiny to vedia, všetci ostatní to vedia. Pozrite sa na ich minulosť, na to, čo dokázali.“
Donald J. Trump (@realDonaldTrump)
Donald J. Trump (@realDonaldTrump)
I know why Tucker Carlson, Megyn Kelly, Candace Owens, and Alex Jones have all been fighting me for years, especially by the fact that they think it is wonderful for Iran, the Number One State Sponsor of Terror, to have a Nuclear Weapon — Because they have one thing in common, Low IQs. They’re stupid people, they know it, their families know it, and everyone else knows it, too!
Truth Social
Truth Social
Autorom citátu je Donald Trump a ľudia, o ktorých hovorí, sú jeho bývalí horliví stúpenci: bývalí moderátori kanála Fox News Tucker Carlson a Megyn Kelly, influencerka Candance Owens a influencer Alex Jones.
Všetci menovaní v uplynulých dňoch ostro kriti
zovali Trumpovu vojnu proti Iránu a jeho vyhrážky, že počas jedinej noci zahynie celá jedna civilizácia. Megyn Kelly v tejto súvislosti povedala, že Trump by „mal radšej držať svoju sprostú hubu“.
Tucker Carlson Trumpovu vojnu opakovane označil za „nechutnú zradu hnutia Amerika na prvom mieste“.
„Viem úplne presne, prečo proti mne bojujú, zvlášť podľa toho, že si myslia, že pre Irán, svetového teroristického sponzora číslo jeden, bude skvelé mať jadrovú zbraň – pretože majú spoločnú jednu vec, nízke IQ,“ napísal Trump na sociálnej sieti Truth Social.
„Možno je čas poslať deda do domova dôchodcov,“ reagovala na Trumpov príspevok spomenutá influencerka Candance Owens.
Máte pripomienku alebo ste našli chybu? Prosíme, napíšte na
[EMAIL]
[EMAIL]
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Vládnych predstaviteľov jej vystúpenie prekvapilo,“","depth":11,"bounds":{"left":0.32083333,"top":0.47333333,"width":0.4097222,"height":0.062222224},"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"napísal","depth":11,"bounds":{"left":0.7104167,"top":0.50666666,"width":0.04236111,"height":0.028888889},"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"napísal","depth":12,"bounds":{"left":0.7118056,"top":0.50666666,"width":0.039583333,"height":0.028888889},"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"denník Wall Street Journal.","depth":11,"bounds":{"left":0.32083333,"top":0.54,"width":0.15069444,"height":0.028888889},"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Podľa denníka","depth":11,"bounds":{"left":0.47013888,"top":0.54,"width":0.08055556,"height":0.028888889},"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Podľa denníka","depth":12,"bounds":{"left":0.47152779,"top":0.54,"width":0.07777778,"height":0.028888889},"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"New York Times Donald Trump o vystúpení svojej manželky vopred","depth":11,"bounds":{"left":0.32083333,"top":0.54,"width":0.40833333,"height":0.062222224},"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"vedel.","depth":11,"bounds":{"left":0.51944447,"top":0.5733333,"width":0.030555556,"height":0.028888889},"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prvá dáma hovorila o „početných falošných fotografiách a výrokoch, ktoré sa týkajú Epsteina a mňa samotnej“, ktoré kolujú po sociálnych sieťach. „Lži, ktoré ma spájajú s hanebným Jeffrey","depth":11,"bounds":{"left":0.32083333,"top":0.64,"width":0.4340278,"height":0.09555556},"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"m Epsteinom, musia od tohto okamihu prestať,“ dodala s tým, že chce „očistiť svoje dobré meno“.","depth":11,"bounds":{"left":0.32083333,"top":0.70666665,"width":0.43194443,"height":0.062222224},"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Niektoré médiá upozornili na skutočnosť, že vo zverejnených Epsteinových dokumentoch sa nachádza mail, ktorý práve Melania Trump zaslala Epsteinovej odsúdenej spolupracovníčke Ghislaine Maxwell v roku 2002. Žena podpísaná ako Melania v maili chváli profil Jeffreyho Epsteina čerstvo zverejnený v časopise New York.","depth":11,"bounds":{"left":0.32083333,"top":0.8066667,"width":0.4298611,"height":0.16222222},"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Vo svojom štvrtkovom vystúpení vyhlásila, že ku Ghislaine Maxwell nikdy nemala žiadny vzťah a že išlo iba o zdvorilostnú korešpondenciu. „Moja zdvorilá odpoveď na jej e-mail nie je ničím iným než triviálnym odkazom,“ vysvetlila prvá dáma.","depth":11,"bounds":{"left":0.32083333,"top":1.0,"width":0.40625,"height":-0.0066666603},"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Donald Trump aj jeho žena sa na začiatku nultých rokov pohybovali v rovnakých spoločenských kruhoch ako Je","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ffrey Epstein. Spomínaný Epsteinov profil v magazíne New York obsahuje známu Trumpovu citáciu, že Epstein je „skvelý chlapík, s ktorým je zábava“.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"„Hovorí sa dokonca, že má rád krásne ženy rovnako ako ja a že mnohé z nich patria skôr k tým mladším,“ povedal Trump o Epsteinovi.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Открий новите колекции Global Brands Store","depth":21,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Открий новите колекции","depth":24,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Global Brands Store","depth":24,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Donald Trump sa v Epsteinových spisoch objavuje viackrát, žiadne zverejnené informácie však nepreukazujú, že by sa dopustil niečoho nezákonného. Prezident trvá na tom, že s Epsteinom prerušil kontakty predtým, než ho v roku 2006 usvedčili z trestných činov, a že o jeho trestnej činnosti nič nevedel. To isté tvrdí Melania Trump.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Zobraziť väčšie rozlíšenie","depth":11,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Melania Trump. Foto – TASR/AP","depth":12,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prímerie na Blízkom východe sa otriasa v základoch.","depth":12,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Hormuzský prieplav zostávala v podstate uzavretý, zatiaľ čo Izrael p","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"okračoval vo svojej ofenzíve proti hnutiu Hizballáh v Libanone.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prezident Donald Trump vyhlásil, že „Irán robí veľmi zlú prácu“, pokiaľ ide o dopravu ropy cez Hormuzský prieplav, a že súčasný stav „nie je dohodou, ktorú sme uzavreli“.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Kľúčovým dopravným uzlom vo štvrtok prešlo len","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"niekoľko lodí","depth":11,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"niekoľko lodí","depth":12,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"a Irán za ich prejazd požaduje mýto. „Máme správy, že Irán si za priechod Hormuzským prielivom účtuje poplatky. Ak to robia, mali by s tým prestať,“ napísal Donald Trump na svojej sociálnej sieti Truth Social.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Tankery, ktoré by sa odvážili prieplavom preplávať, čelia hneď niekoľkým ťažkostiam. Podstupujú riziko, že sa ocitnú pod paľbou iránskych ozbrojených síl alebo ich napríklad poškodia míny. Musia riešiť aj vysoké ceny poistenia, pokiaľ je vôbec dostup","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"né. A v prípade, že si Irán za priechod účtuje mýto, dochádza zrejme k","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"porušovaniu embarga","depth":11,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"porušovaniu embarga","depth":12,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", ktoré na Irán uvalili Spojené štáty.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"reklama","depth":13,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Irán údajne za priechod požaduje až","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"dva milióny dolárov","depth":11,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"dva milióny dolárov","depth":12,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"v kryptomenách. V prípade, že by si svoju nadvládu nad prieplavom a s ňou spojenú možnosť vyberať mýto udržal, mohlo by to pre krajinu teoreticky znamenať mimoriadny príjem vo výške desiatok miliárd dolárov ročne.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Donald Trump medzitým telefonoval s izraelským premiérom Benjaminom Netanjahuom. Po telefonáte","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"vyhlásil","depth":11,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"vyhlásil","depth":12,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", že predsedu izraelskej vlády požiadal o utlmenie bojov v Libanone.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"„Volal som Bibimu a ten sľúbil, že boje stlmí. Myslím si, že sa musíme držať trochu viac pri zemi,“","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"vyhlásil","depth":11,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"vyhlásil","depth":12,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Trump.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prezident už predtým súhlasil s Netanjahuom v názore, že útoky proti H","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"izballáhu v Libanone nie sú súčasťou dohody o prímerí. Irán tvrdí opak. Trumpovo naliehanie na Izrael sa zhoduje s podobnými výrokmi jeho viceprezidenta J. D. Vanca, podľa ktorého sa „Izraelčania teraz budú trochu kontrolovať“.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"V noci však došlo v Libanone aj v Izraeli k ďalším útokom. Izraelské letectvo bombardovalo na území svojho suseda, Hizballáh vypálil rakety na niekoľko cieľov v Izraeli. Izraelský premiér","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"uviedol","depth":11,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"uviedol","depth":12,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", že v „Libanone nijaké prímerie nepanuje“.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Iránsky najvyšší vodca Modžtabá Chámeneí dal v iránskej televízii prečítať vyhlásenie, že si vyhradzuje právo na odvetu za útoky USA a Izraela na jeho krajinu a jej spojencov, medzi ktorých patrí aj libanonské hnutie Hizballáh.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Newyorský starosta Zohran Mamdani pripustil","depth":12,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", že tento rok v Ne","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"w Yorku nezavedie autobusovú dopravu zadarmo. Uviedol to v","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"telefonickom rozhovore","depth":11,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"telefonickom rozhovore","depth":12,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"so serverom Politico. Sľub verejnej bezplatnej autobusovej dopravy bol jedným z ťahákov Mamdaniho oslnivej predvolebnej kampane.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Newyorská radnica však nemôže svoj plán uskutočniť bez spolupráce so štátom New York a jeho guvernérkou Kathy Hochul. Ako v otázke uviedol spomínaný server, rozpočtovú položku umožňujúcu pilotný projekt bezplatných autobusov nikto nenavrhol.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Zobraziť väčšie rozlíšenie","depth":11,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Starosta New Yorku Zohran Mamdani. Foto – TASR/AP","depth":12,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Mamdani zdôraznil, že zákonodarcovia v princípe nie sú proti a že rokovania pokračujú. „Na myšlienke zaviesť rýchlu a bezplatnú autobusovú dopravu stále trvám a rozhovory, ktoré o tom vedieme s guvernérkou a lídrami zákonodarcov, sú pre nás povzbudivé.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Rok 2026 považujeme za prvý krok,“ uviedol.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Rozhovor vyvolal predvídateľnú kritiku konzervatívnych oponentov progresívneho starostu. „Ako sa ukazuje, socialistické slogany zvyčajne neprežijú zrážku s realitou,“","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"napísal","depth":11,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"napísal","depth":12,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"napríklad na sieti X hovorca Národného republikánskeho kongresového výboru Mike Marinella.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Mamdani je vo funkcii len od januára tohto roka.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Citát dňa:","depth":10,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Citát dňa:","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"„Sú to stupídni ľudia. Vedia to o sebe, ich rodiny to vedia, všetci ostatní to vedia. Pozrite sa na ich minulosť, na to, čo dokázali.“","depth":12,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Donald J. Trump (@realDonaldTrump)","depth":17,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Donald J. Trump (@realDonaldTrump)","depth":18,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I know why Tucker Carlson, Megyn Kelly, Candace Owens, and Alex Jones have all been fighting me for years, especially by the fact that they think it is wonderful for Iran, the Number One State Sponsor of Terror, to have a Nuclear Weapon — Because they have one thing in common, Low IQs. They’re stupid people, they know it, their families know it, and everyone else knows it, too!","depth":17,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Truth Social","depth":17,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Truth Social","depth":18,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Autorom citátu je Donald Trump a ľudia, o ktorých hovorí, sú jeho bývalí horliví stúpenci: bývalí moderátori kanála Fox News Tucker Carlson a Megyn Kelly, influencerka Candance Owens a influencer Alex Jones.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Všetci menovaní v uplynulých dňoch ostro kriti","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"zovali Trumpovu vojnu proti Iránu a jeho vyhrážky, že počas jedinej noci zahynie celá jedna civilizácia. Megyn Kelly v tejto súvislosti povedala, že Trump by „mal radšej držať svoju sprostú hubu“.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Tucker Carlson Trumpovu vojnu opakovane označil za „nechutnú zradu hnutia Amerika na prvom mieste“.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"„Viem úplne presne, prečo proti mne bojujú, zvlášť podľa toho, že si myslia, že pre Irán, svetového teroristického sponzora číslo jeden, bude skvelé mať jadrovú zbraň – pretože majú spoločnú jednu vec, nízke IQ,“ napísal Trump na sociálnej sieti Truth Social.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"„Možno je čas poslať deda do domova dôchodcov,“ reagovala na Trumpov príspevok spomenutá influencerka Candance Owens.","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Máte pripomienku alebo ste našli chybu? Prosíme, napíšte na","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"pripomienky@dennikn.sk","depth":11,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"pripomienky@dennikn.sk","depth":12,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":11,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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10. APRÍLA 2026 11:04
DONALD TRUMP
DONALD TRUMP
IRÁN
IRÁN
JEFFREY EPSTEIN
JEFFREY EPSTEIN
KONFLIKT NA BLÍZKOM VÝCHODE
KONFLIKT NA BLÍZKOM VÝCHODE
TRUMPOV SVET (VÝVOJ V BIELOM DOME)
TRUMPOV SVET (VÝVOJ V BIELOM DOME)
USA
USA
Posun na nasledujúce
Trumpov svet (vývoj v Bielom dome) Trumpov svet (445. deň): Melania Trump náhle prehovorila o Epsteinovi a nikto nevie prečo
Trumpov svet (445. deň): Melania Trump náhle prehovorila o Epsteinovi a nikto nevie prečo
Jiří Sobota Jiří Sobota
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Melania Trump počas tlačovej konferencie. Foto - TASR/AP
Melania Trump počas tlačovej konferencie. Foto – TASR/AP
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undefined
Prečítajte si viac o
počúvaní Denníka N
počúvaní Denníka N
.
Melania Trump sa z ničoho nič dištancovala od Epsteina.
Prímerie na Blízkom východe sa rozpadá.
Newyorský starosta Zohran Mamdani zatiaľ nezavedie autobusy zadarmo.
Proti Trumpovi sa obracajú aj jeho niekdajší stúpenci.
Informácie v tomto texte sú zhrnutím udalostí za štvrtok 9. apríla.
Prvá dáma Spojených štátov Melania Trump nečakane usporiadala tlačovú konferenciu, na ktorej podobne neočakávane vyhlásila, že nemá nič spoločné so sexuálnym delikventom Jeffreym Epsteinom. Hovorila, že nebola jeho obeťou a že to nebol Jeffrey Epstein, kto ju zoznámil s jej neskorším manželom a dnešným prezidentom Donaldom Trumpom.
„Epstein ma nezoznámil s Donaldom Trumpom. Spoznala som ho náhodou. Toto prvé stretnutie s mojím manželom je opísané v mojej knihe,“ pove
dala Melania Trump.
Manželka prezidenta tiež vyzvala, aby všetky Epsteinove obete mali právo vypovedať pred vyšetrovacou komisiou amerického kongresu.
Nikiti Halkidiki, Greece
Nikiti Halkidiki, Greece
Officially licenced buisness by G.T.O.
Officially licenced buisness by G.T.O.
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Americké médiá reagovali na vyhlásenie s istým úžasom, pretože téma tlačovej konferencie nebola vopred ohlásená a načasovanie oznámenia zostáva záhadou.
„Vyhlásenie prvej dámy prišlo v čase, keď sa Biely dom sústredil na dohodu o prímerí s Iránom. Vládnych predstaviteľov jej vystúpenie prekvapilo,“
napísal
napísal
denník Wall Street Journal.
Podľa denníka
Podľa denníka
New York Times Donald Trump o vystúpení svojej manželky vopred
vedel.
Prvá dáma hovorila o „početných falošných fotografiách a výrokoch, ktoré sa týkajú Epsteina a mňa samotnej“, ktoré kolujú po sociálnych sieťach. „Lži, ktoré ma spájajú s hanebným Jeffrey
m Epsteinom, musia od tohto okamihu prestať,“ dodala s tým, že chce „očistiť svoje dobré meno“.
Niektoré médiá upozornili na skutočnosť, že vo zverejnených Epsteinových dokumentoch sa nachádza mail, ktorý práve Melania Trump zaslala Epsteinovej odsúdenej spolupracovníčke Ghislaine Maxwell v roku 2002. Žena podpísaná ako Melania v maili chváli profil Jeffreyho Epsteina čerstvo zverejnený v časopise New York.
Vo svojom štvrtkovom vystúpení vyhlásila, že ku Ghislaine Maxwell nikdy nemala žiadny vzťah a že išlo iba o zdvorilostnú korešpondenciu. „Moja zdvorilá odpoveď na jej e-mail nie je ničím iným než triviálnym odkazom,“ vysvetlila prvá dáma.
Donald Trump aj jeho žena sa na začiatku nultých rokov pohybovali v rovnakých spoločenských kruhoch ako Je
ffrey Epstein. Spomínaný Epsteinov profil v magazíne New York obsahuje známu Trumpovu citáciu, že Epstein je „skvelý chlapík, s ktorým je zábava“.
„Hovorí sa dokonca, že má rád krásne ženy rovnako ako ja a že mnohé z nich patria skôr k tým mladším,“ povedal Trump o Epsteinovi.
Открий новите колекции Global Brands Store
Открий новите колекции
Global Brands Store
Donald Trump sa v Epsteinových spisoch objavuje viackrát, žiadne zverejnené informácie však nepreukazujú, že by sa dopustil niečoho nezákonného. Prezident trvá na tom, že s Epsteinom prerušil kontakty predtým, než ho v roku 2006 usvedčili z trestných činov, a že o jeho trestnej činnosti nič nevedel. To isté tvrdí Melania Trump.
Zobraziť väčšie rozlíšenie
Melania Trump. Foto – TASR/AP
Prímerie na Blízkom východe sa otriasa v základoch.
Hormuzský prieplav zostávala v podstate uzavretý, zatiaľ čo Izrael p
okračoval vo svojej ofenzíve proti hnutiu Hizballáh v Libanone.
Prezident Donald Trump vyhlásil, že „Irán robí veľmi zlú prácu“, pokiaľ ide o dopravu ropy cez Hormuzský prieplav, a že súčasný stav „nie je dohodou, ktorú sme uzavreli“.
Kľúčovým dopravným uzlom vo štvrtok prešlo len
niekoľko lodí
niekoľko lodí
a Irán za ich prejazd požaduje mýto. „Máme správy, že Irán si za priechod Hormuzským prielivom účtuje poplatky. Ak to robia, mali by s tým prestať,“ napísal Donald Trump na svojej sociálnej sieti Truth Social.
Tankery, ktoré by sa odvážili prieplavom preplávať, čelia hneď niekoľkým ťažkostiam. Podstupujú riziko, že sa ocitnú pod paľbou iránskych ozbrojených síl alebo ich napríklad poškodia míny. Musia riešiť aj vysoké ceny poistenia, pokiaľ je vôbec dostup
né. A v prípade, že si Irán za priechod účtuje mýto, dochádza zrejme k
porušovaniu embarga
porušovaniu embarga
, ktoré na Irán uvalili Spojené štáty.
reklama
Irán údajne za priechod požaduje až
dva milióny dolárov
dva milióny dolárov
v kryptomenách. V prípade, že by si svoju nadvládu nad prieplavom a s ňou spojenú možnosť vyberať mýto udržal, mohlo by to pre krajinu teoreticky znamenať mimoriadny príjem vo výške desiatok miliárd dolárov ročne.
Donald Trump medzitým telefonoval s izraelským premiérom Benjaminom Netanjahuom. Po telefonáte
vyhlásil
vyhlásil
, že predsedu izraelskej vlády požiadal o utlmenie bojov v Libanone.
„Volal som Bibimu a ten sľúbil, že boje stlmí. Myslím si, že sa musíme držať trochu viac pri zemi,“
vyhlásil
vyhlásil
Trump.
Prezident už predtým súhlasil s Netanjahuom v názore, že útoky proti H
izballáhu v Libanone nie sú súčasťou dohody o prímerí. Irán tvrdí opak. Trumpovo naliehanie na Izrael sa zhoduje s podobnými výrokmi jeho viceprezidenta J. D. Vanca, podľa ktorého sa „Izraelčania teraz budú trochu kontrolovať“.
V noci však došlo v Libanone aj v Izraeli k ďalším útokom. Izraelské letectvo bombardovalo na území svojho suseda, Hizballáh vypálil rakety na niekoľko cieľov v Izraeli. Izraelský premiér
uviedol
uviedol
, že v „Libanone nijaké prímerie nepanuje“.
Iránsky najvyšší vodca Modžtabá Chámeneí dal v iránskej televízii prečítať vyhlásenie, že si vyhradzuje právo na odvetu za útoky USA a Izraela na jeho krajinu a jej spojencov, medzi ktorých patrí aj libanonské hnutie Hizballáh.
Newyorský starosta Zohran Mamdani pripustil
, že tento rok v Ne
w Yorku nezavedie autobusovú dopravu zadarmo. Uviedol to v
telefonickom rozhovore
telefonickom rozhovore
so serverom Politico. Sľub verejnej bezplatnej autobusovej dopravy bol jedným z ťahákov Mamdaniho oslnivej predvolebnej kampane.
Newyorská radnica však nemôže svoj plán uskutočniť bez spolupráce so štátom New York a jeho guvernérkou Kathy Hochul. Ako v otázke uviedol spomínaný server, rozpočtovú položku umožňujúcu pilotný projekt bezplatných autobusov nikto nenavrhol.
Zobraziť väčšie rozlíšenie
Starosta New Yorku Zohran Mamdani. Foto – TASR/AP
Mamdani zdôraznil, že zákonodarcovia v princípe nie sú proti a že rokovania pokračujú. „Na myšlienke zaviesť rýchlu a bezplatnú autobusovú dopravu stále trvám a rozhovory, ktoré o tom vedieme s guvernérkou a lídrami zákonodarcov, sú pre nás povzbudivé.
Rok 2026 považujeme za prvý krok,“ uviedol.
Rozhovor vyvolal predvídateľnú kritiku konzervatívnych oponentov progresívneho starostu. „Ako sa ukazuje, socialistické slogany zvyčajne neprežijú zrážku s realitou,“
napísal
napísal
napríklad na sieti X hovorca Národného republikánskeho kongresového výboru Mike Marinella.
Mamdani je vo funkcii len od januára tohto roka.
Citát dňa:
Citát dňa:
„Sú to stupídni ľudia. Vedia to o sebe, ich rodiny to vedia, všetci ostatní to vedia. Pozrite sa na ich minulosť, na to, čo dokázali.“
Donald J. Trump (@realDonaldTrump)
Donald J. Trump (@realDonaldTrump)
I know why Tucker Carlson, Megyn Kelly, Candace Owens, and Alex Jones have all been fighting me for years, especially by the fact that they think it is wonderful for Iran, the Number One State Sponsor of Terror, to have a Nuclear Weapon — Because they have one thing in common, Low IQs. They’re stupid people, they know it, their families know it, and everyone else knows it, too!
Truth Social
Truth Social
Autorom citátu je Donald Trump a ľudia, o ktorých hovorí, sú jeho bývalí horliví stúpenci: bývalí moderátori kanála Fox News Tucker Carlson a Megyn Kelly, influencerka Candance Owens a influencer Alex Jones.
Všetci menovaní v uplynulých dňoch ostro kriti
zovali Trumpovu vojnu proti Iránu a jeho vyhrážky, že počas jedinej noci zahynie celá jedna civilizácia. Megyn Kelly v tejto súvislosti povedala, že Trump by „mal radšej držať svoju sprostú hubu“.
Tucker Carlson Trumpovu vojnu opakovane označil za „nechutnú zradu hnutia Amerika na prvom mieste“.
„Viem úplne presne, prečo proti mne bojujú, zvlášť podľa toho, že si myslia, že pre Irán, svetového teroristického sponzora číslo jeden, bude skvelé mať jadrovú zbraň – pretože majú spoločnú jednu vec, nízke IQ,“ napísal Trump na sociálnej sieti Truth Social.
„Možno je čas poslať deda do domova dôchodcov,“ reagovala na Trumpov príspevok spomenutá influencerka Candance Owens.
Máte pripomienku alebo ste našli chybu? Prosíme, napíšte na
[EMAIL]
[EMAIL]
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Trumpov svet (445. deň): Melania Trump náhle preho Trumpov svet (445. deň): Melania Trump náhle prehovorila o Epsteinovi a nikto nevie prečo — Denník N — Personal...
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report.py — screenpipe [SSH: 100.73.206.126]
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update, 1 requires restart
3
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
Build screenpipe data UI…, Editor Group 2
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Ln 17, Col 87
Screen Reader Optimized
expanded
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
Copy code to clipboard
OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
Copy code to clipboard
OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
Copy code to clipboard
OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
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OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
Copy code to clipboard
OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
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OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
Copy code to clipboard
OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
Copy code to clipboard
/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
Copy code to clipboard
python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?
Message actions
seesm ok
Thinking
Thinking
Bash
Check Python and available packages
IN
python3 --version && pip3 list 2>/dev/null | grep -E "fastapi|uvicorn|click|anthropic|httpx|jinja"
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OUT
Python 3.11.2
[rerun: b1]
Bash
Verify join works for today's data
IN
sqlite3 /volume1/screenpipe/db.sqlite "
SELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len
FROM frames f JOIN ocr_text o ON f.id = o.frame_id
WHERE DATE(f.timestamp) = '2026-04-11'
ORDER BY f.timestamp DESC LIMIT 3;
"
Copy code to clipboard
OUT
2026-04-11T12:54:42.597794+00:00|||2111
2026-04-11T12:54:41.915916+00:00|||2110
2026-04-11T12:54:39.912712+00:00|||2111
[rerun: b2]
Bash
Install required packages
IN
pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5
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OUT
/bin/bash: line 1: pip3: command not found
[rerun: b3]
Bash
Find pip
IN
which pip || which pip3 || python3 -m pip --version 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
[rerun: b4]
Bash
Bootstrap pip then install packages
IN
python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10
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OUT
Exit code 1
/usr/bin/python3: No module named ensurepip
[rerun: b5]
Bash
Install pip via apt
IN
apt-get install -y python3-pip python3-venv 2>&1 | tail -5
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OUT
E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)
E: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?
[rerun: b6]
Bash
Install pip with sudo
Reason:
lets make it in docker, not to install it in nas directly
IN
sudo apt-get install -y python3-pip python3-venv 2>&1 | tail -5
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Good call. Let me check what Docker setup you already have and build a proper containerized app.
Bash
Check existing docker-compose for reference...
|
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(⇧⌘D)","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require update, 1 requires restart","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"3","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Claude Code","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"Containers","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"EXPLORER","depth":17,"role_description":"heading"},{"role":"AXStaticText","text":"EXPLORER","depth":18,"role_description":"text"},{"role":"AXButton","text":"Explorer Section: screenpipe [SSH: 100.73.206.126]","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"Explorer Section: screenpipe [SSH: 100.73.206.126]","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"SCREENPIPE [SSH: 100.73.206.126]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"#recycle","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"app","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"consumers","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"__init__.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"activity.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"audio.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"ocr.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"report.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"summary.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"static","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"db.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"docker-compose.yml","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"Dockerfile","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"data","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"pipes","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"db.sqlite","depth":27,"role_description":"text"},{"role":"AXButton","text":"Outline Section","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"OUTLINE","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"OUTLINE","depth":23,"role_description":"text"},{"role":"AXButton","text":"Timeline Section","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"TIMELINE","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"TIMELINE","depth":23,"role_description":"text"},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"#!/bin/bash • Untitled-1, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"report.py, preview, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXStaticText","text":"","depth":29,"role_description":"text"},{"role":"AXStaticText","text":"","depth":29,"role_description":"text"},{"role":"AXTextArea","text":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","depth":28,"value":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","depth":29,"role_description":"text"},{"role":"AXRadioButton","text":"Build screenpipe data UI…, Editor Group 2","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Ports","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"role_description":"text"},{"role":"AXButton","text":"remote SSH: 100.73.206.126","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"SSH: 100.73.206.126","depth":17,"role_description":"text"},{"role":"AXButton","text":"No Problems","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXButton","text":"No Ports Forwarded","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXButton","text":"Update is ready, click to restart.","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"Update is ready, click to restart.","depth":17,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"role_description":"text"},{"role":"AXButton","text":"Python","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 4","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 17, Col 87","depth":16,"bounds":{"left":1.0,"top":0.0,"width":-0.0645833,"height":0.024444444},"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Screen Reader Optimized","depth":16,"bounds":{"left":0.9513889,"top":0.0,"width":0.048611104,"height":0.024444444},"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"expanded","depth":12,"role_description":"text"},{"role":"AXButton","text":"Build screenpipe data UI and summary app","depth":18,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":18,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":18,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":23,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Let me explore the screenpipe directory to understand what we're working with.","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List screenpipe directory contents","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"data\ndb.sqlite\npipes\n#recycle\n[rerun: b1]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List data and pipes directories","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09\n2026-04-11\nai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n[rerun: b2]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List tables in screenpipe SQLite database","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \".tables\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"_sqlx_migrations meetings \naudio_chunks memories \naudio_tags memories_fts \naudio_transcriptions memories_fts_config \naudio_transcriptions_fts memories_fts_data \naudio_transcriptions_fts_config memories_fts_docsize \naudio_transcriptions_fts_data memories_fts_idx \naudio_transcriptions_fts_docsize ocr_text \naudio_transcriptions_fts_idx pipe_executions \nelements pipe_scheduler_state \nelements_fts speaker_embeddings \nelements_fts_config speakers \nelements_fts_data tags \nelements_fts_docsize ui_events \nelements_fts_idx ui_events_fts \nframes ui_events_fts_config \nframes_fts ui_events_fts_data \nframes_fts_config ui_events_fts_docsize \nframes_fts_content ui_events_fts_idx \nframes_fts_data video_chunks \nframes_fts_docsize vision_tags \nframes_fts_idx\n[rerun: b3]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get ocr_text table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(ocr_text);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|frame_id|INTEGER|1||0\n1|text|TEXT|1||0\n2|text_json|TEXT|0||0\n3|app_name|TEXT|1|''|0\n4|ocr_engine|TEXT|1|'unknown'|0\n5|window_name|TEXT|0||0\n6|focused|BOOLEAN|0|FALSE|0\n7|text_length|INTEGER|0||0\n8|sync_id|TEXT|0||0\n9|synced_at|DATETIME|0||0\n[rerun: b4]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get audio_transcriptions table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(audio_transcriptions);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|audio_chunk_id|INTEGER|1||0\n2|offset_index|INTEGER|1||0\n3|timestamp|TIMESTAMP|1||0\n4|transcription|TEXT|1||0\n5|device|TEXT|1|''|0\n6|is_input_device|BOOLEAN|1|TRUE|0\n7|speaker_id|INTEGER|0||0\n8|transcription_engine|TEXT|1|'Whisper'|0\n9|start_time|REAL|0||0\n10|end_time|REAL|0||0\n11|text_length|INTEGER|0||0\n12|sync_id|TEXT|0||0\n13|synced_at|DATETIME|0||0\n[rerun: b5]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get frames, ui_events, video_chunks schemas","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|video_chunk_id|INTEGER|0|NULL|0\n2|offset_index|INTEGER|1|0|0\n3|timestamp|TIMESTAMP|1||0\n4|name|TEXT|0||0\n5|app_name|TEXT|0|NULL|0\n6|window_name|TEXT|0|NULL|0\n7|focused|BOOLEAN|0|NULL|0\n8|browser_url|TEXT|0|NULL|0\n9|device_name|TEXT|1|''|0\n10|sync_id|TEXT|0||0\n11|machine_id|TEXT|0||0\n12|synced_at|DATETIME|0||0\n13|snapshot_path|TEXT|0|NULL|0\n14|accessibility_text|TEXT|0|NULL|0\n15|accessibility_tree_json|TEXT|0|NULL|0\n16|content_hash|INTEGER|0|NULL|0\n17|simhash|INTEGER|0|NULL|0\n18|capture_trigger|TEXT|0|NULL|0\n19|text_source|TEXT|0|NULL|0\n20|cloud_blob_id|TEXT|0|NULL|0\n21|full_text|TEXT|0|NULL|0\n22|elements_ref_frame_id|INTEGER|0|NULL|0\n0|id|INTEGER|0||1\n1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0\n2|session_id|TEXT|0||0\n3|relative_ms|INTEGER|1|0|0\n4|event_type|TEXT|1||0\n5|x|INTEGER|0||0\n6|y|INTEGER|0||0\n7|delta_x|INTEGER|0||0\n8|delta_y|INTEGER|0||0\n9|button|INTEGER|0||0\n10|click_count|INTEGER|0||0\n11|key_code|INTEGER|0||0\n12|modifiers|INTEGER|0||0\n13|text_content|TEXT|0||0\n14|text_length|INTEGER|0||0\n15|app_name|TEXT|0||0\n16|app_pid|INTEGER|0||0\n17|window_title|TEXT|0||0\n18|browser_url|TEXT|0||0\n19|element_role|TEXT|0||0\n20|element_name|TEXT|0||0\n21|element_value|TEXT|0||0\n22|element_description|TEXT|0||0\n23|element_automation_id|TEXT|0||0\n24|element_bounds|TEXT|0||0\n25|frame_id|INTEGER|0||0\n26|sync_id|TEXT|0||0\n27|machine_id|TEXT|0||0\n28|synced_at|DATETIME|0||0\n0|id|INTEGER|0||1\n1|file_path|TEXT|1||0\n2|device_name|TEXT|1|''|0\n3|sync_id|TEXT|0||0\n4|machine_id|TEXT|0||0\n5|synced_at|DATETIME|0||0\n6|fps|REAL|1|0.5|0\n7|cloud_blob_id|TEXT|0|NULL|0\n[rerun: b6]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check data counts and date ranges","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*) FROM ocr_text;\" 2>/dev/null","depth":25,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00\n3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00\n666\n[rerun: b7]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Explore existing pipes for patterns","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\n[rerun: b8]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Read day-recap pipe documentation","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n[rerun: b9]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample app names from frames","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Safari\nActivity Monitor\nDia\niTerm2\nControl Centre\nUserNotificationCenter\nFinder\nClaude\nSlack\nFirefox\nRaycast\nNetAuthAgent\nQuickTime Player\n[rerun: b10]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample joined frame+ocr data for today","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE\n2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER\n2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p\n2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p\n2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi\n[rerun: b11]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample recent audio transcriptions","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09T17:02:52+00:00|.|System Audio\n2026-04-09T16:59:22+00:00|Class is technically...|System Audio\n2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio\n[rerun: b12]","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Good data to work with. Here's what we have:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Screen captures with OCR text, app name, window name (1135 frames so far)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"audio_transcriptions","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Voice/system audio transcripts","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ui_events","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Mouse/keyboard events with app context","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Raw video files","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Before I start building, a few quick questions:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Tech stack","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"AI summaries","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"What summaries matter most?","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Day recap (what apps/windows you used, key text seen)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"App time breakdown (time per app)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Audio/conversation recap","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Custom searchable timeline","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Here's the architecture I'm thinking:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"/volume1/screenpipe/app/\n├── main.py # FastAPI web UI\n├── cli.py # Click CLI: `python cli.py day-recap`\n├── db.py # Read-only queries against db.sqlite\n├── consumers/\n│ ├── activity.py # App usage, time per window\n│ ├── ocr.py # OCR text aggregation + search\n│ ├── audio.py # Transcription queries\n│ └── summary.py # AI summary builder\n└── static/\n └── index.html # Single-page UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"CLI commands would look like:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"python cli.py day-recap # EOD summary\npython cli.py activity --date today # App time breakdown\npython cli.py search \"docker\" # Search OCR/audio text\npython cli.py serve # Launch web UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Does this direction work? Any preferences on the stack or which summaries to prioritize?","depth":22,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":23,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"seesm ok","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check Python and available packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"python3 --version && pip3 list 2>/dev/null | grep -E \"fastapi|uvicorn|click|anthropic|httpx|jinja\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Python 3.11.2\n[rerun: b1]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Verify join works for today's data","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"\nSELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len\nFROM frames f JOIN ocr_text o ON f.id = o.frame_id\nWHERE DATE(f.timestamp) = '2026-04-11'\nORDER BY f.timestamp DESC LIMIT 3;\n\"","depth":25,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-11T12:54:42.597794+00:00|||2111\n2026-04-11T12:54:41.915916+00:00|||2110\n2026-04-11T12:54:39.912712+00:00|||2111\n[rerun: b2]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Install required packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"/bin/bash: line 1: pip3: command not found\n[rerun: b3]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Find pip","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"which pip || which pip3 || python3 -m pip --version 2>/dev/null","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\n[rerun: b4]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bootstrap pip then install packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\n/usr/bin/python3: No module named ensurepip\n[rerun: b5]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Install pip via apt","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"apt-get install -y python3-pip python3-venv 2>&1 | tail -5","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)\nE: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?\n[rerun: b6]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Install pip with sudo","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Reason:","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"lets make it in docker, not to install it in nas directly","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sudo apt-get install -y python3-pip python3-venv 2>&1 | tail -5","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Good call. Let me check what Docker setup you already have and build a proper containerized app.","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check existing docker-compose for reference","depth":23,"role_description":"text"}]...
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
Build screenpipe data UI…, Editor Group 2
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Python
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Spaces: 4
Ln 17, Col 87
Screen Reader Optimized
expanded
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
Copy code to clipboard
OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
Copy code to clipboard
OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
Copy code to clipboard
OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
Copy code to clipboard
OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
Copy code to clipboard
OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
Copy code to clipboard
OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
Copy code to clipboard
OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
Copy code to clipboard
/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
Copy code to clipboard
python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?
Message actions
seesm ok
Thinking
Thinking
Bash
Check Python and available packages
IN
python3 --version && pip3 list 2>/dev/null | grep -E "fastapi|uvicorn|click|anthropic|httpx|jinja"
Copy code to clipboard
OUT
Python 3.11.2
[rerun: b1]
Bash
Verify join works for today's data
IN
sqlite3 /volume1/screenpipe/db.sqlite "
SELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len
FROM frames f JOIN ocr_text o ON f.id = o.frame_id
WHERE DATE(f.timestamp) = '2026-04-11'
ORDER BY f.timestamp DESC LIMIT 3;
"
Copy code to clipboard
OUT
2026-04-11T12:54:42.597794+00:00|||2111
2026-04-11T12:54:41.915916+00:00|||2110
2026-04-11T12:54:39.912712+00:00|||2111
[rerun: b2]
Bash
Install required packages
IN
pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5
Copy code to clipboard
OUT
/bin/bash: line 1: pip3: command not found
[rerun: b3]
Bash
Find pip
IN
which pip || which pip3 || python3 -m pip --version 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
[rerun: b4]
Bash
Bootstrap pip then install packages
IN
python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10
Copy code to clipboard
OUT
Exit code 1
/usr/bin/python3: No module named ensurepip
[rerun: b5]
Bash
Install pip via apt
IN
apt-get install -y python3-pip python3-venv 2>&1 | tail -5
Copy code to clipboard
OUT
E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)
E: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?
[rerun: b6]
Bash
Install pip with sudo
Reason:
lets make it in docker, not to install it in nas directly
IN
sudo apt-get install -y python3-pip python3-venv 2>&1 | tail -5
Copy code to clipboard
Good call. Let me check what Docker setup you already have and build a proper containerized app.
Bash
Check existing docker-compose for reference...
|
NULL
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1481
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33
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3
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2026-04-11T17:32:52.795298+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928772795_m1.jpg...
|
Code
|
report.py — screenpipe [SSH: 100.73.206.126]
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
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NULL
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NULL
|
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update, 1 requires restart
3
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
Build screenpipe data UI…, Editor Group 2
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Ln 17, Col 87
Screen Reader Optimized
expanded
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E) - 1 unsaved file","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G)","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug (⇧⌘D)","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require update, 1 requires restart","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"3","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Claude Code","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"Containers","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"EXPLORER","depth":17,"role_description":"heading"},{"role":"AXStaticText","text":"EXPLORER","depth":18,"role_description":"text"},{"role":"AXButton","text":"Explorer Section: screenpipe [SSH: 100.73.206.126]","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"Explorer Section: screenpipe [SSH: 100.73.206.126]","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"SCREENPIPE [SSH: 100.73.206.126]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"#recycle","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"app","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"consumers","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"__init__.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"activity.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"audio.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"ocr.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"report.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"summary.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"static","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"db.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"docker-compose.yml","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"Dockerfile","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"data","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"pipes","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"db.sqlite","depth":27,"role_description":"text"},{"role":"AXButton","text":"Outline Section","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"OUTLINE","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"OUTLINE","depth":23,"role_description":"text"},{"role":"AXButton","text":"Timeline Section","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"TIMELINE","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"TIMELINE","depth":23,"role_description":"text"},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"#!/bin/bash • Untitled-1, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"report.py, preview, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXStaticText","text":"","depth":29,"role_description":"text"},{"role":"AXStaticText","text":"","depth":29,"role_description":"text"},{"role":"AXTextArea","text":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","depth":28,"value":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","depth":29,"role_description":"text"},{"role":"AXRadioButton","text":"Build screenpipe data UI…, Editor Group 2","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Ports","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"role_description":"text"},{"role":"AXButton","text":"remote SSH: 100.73.206.126","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"SSH: 100.73.206.126","depth":17,"role_description":"text"},{"role":"AXButton","text":"No Problems","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXButton","text":"No Ports Forwarded","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXButton","text":"Update is ready, click to restart.","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"Update is ready, click to restart.","depth":17,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"role_description":"text"},{"role":"AXButton","text":"Python","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 4","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 17, Col 87","depth":16,"bounds":{"left":1.0,"top":0.0,"width":-0.0645833,"height":0.024444444},"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Screen Reader Optimized","depth":16,"bounds":{"left":0.9513889,"top":0.0,"width":0.048611104,"height":0.024444444},"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"expanded","depth":12,"role_description":"text"},{"role":"AXButton","text":"Build screenpipe data UI and summary app","depth":18,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":18,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":18,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":23,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Let me explore the screenpipe directory to understand what we're working with.","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List screenpipe directory contents","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/","depth":24,"role_description":"text"}]...
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update, 1 requires restart
3
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
Build screenpipe data UI…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
remote SSH: [IP_ADDRESS]
SSH: [IP_ADDRESS]
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0
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0
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Python
Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions
LF
UTF-8
Spaces: 4
Ln 17, Col 87
Screen Reader Optimized
expanded
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/...
|
NULL
|
|
1482
|
33
|
4
|
2026-04-11T17:32:54.949792+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928774949_m1.jpg...
|
iTerm2
|
-zsh
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
drwx------ 1 lukas staff 16384 11 Apr 16:34 sc drwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ touch /Volumes/screenpipe/test.txt
touch: /Volumes/screenpipe/test.txt: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ umount /Volumes/screenpipe
umount: unmount(/Volumes/screenpipe): Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ touch /Volumes/screenpipe/test.txt
touch: /Volumes/screenpipe/test.txt: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@[IP_ADDRESS]:/volume1/screenpipe/db.sqlite
scp: dest open "/volume1/screenpipe/db.sqlite": No such file or directory
scp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@[IP_ADDRESS]:/volume1/screenpipe/
scp: dest open "/volume1/screenpipe/": No such file or directory
scp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 32
drwxr-xr-x 4 root wheel 128 11 Apr 16:35 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $clear
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: touch:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: bad pattern: unmount(/Volumes/screenpipe):
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: touch:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: cp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: scp:
zsh: command not found: scp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: scp:
zsh: command not found: scp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: total
zsh: command not found: drwxr-xr-x
zsh: command not found: drwxr-xr-x
zsh: file exists: /
zsh: command not found: drwx------
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@[IP_ADDRESS]:/volume1/screenpipe/db.sqlite
scp: dest open "/volume1/screenpipe/db.sqlite": No such file or directory
scp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls
Macintosh HD screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 32
drwxr-xr-x 4 root wheel 128 11 Apr 16:35 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/db.sqlite
cp: /Volumes/Test/screenpipe/db.sqlite: No such file or directory
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/
cp: directory /Volumes/Test/screenpipe does not exist
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 96
drwxr-xr-x 6 root wheel 192 11 Apr 16:45 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
drwx------ 1 lukas staff 16384 10 Aug 2025 Apps
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 15:46 Test
drwx------ 1 lukas staff 16384 11 Apr 16:47 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/pipes/ /Volumes/Test/screenpipe/pipes/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/data/data/ /Volumes/Test/screenpipe/data/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sed 's|$HOME/.screenpipe/db.sqlite|/volume1/Test/screenpipe/db.sqlite|g' ~/screenpipe-day.sh > /volume1/Test/screenpipe/screenpipe-day.sh
zsh: no such file or directory: /volume1/Test/screenpipe/screenpipe-day.sh
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cat ~/screenpipe-day.sh
#!/bin/zsh
DB="$HOME/.screenpipe/db.sqlite"
DATE=${1:-$(date -v-1d '+%Y-%m-%d')}
echo "═══════════════════════════════════════"
echo " SCREENPIPE REPORT — $DATE"
echo "═══════════════════════════════════════"
echo "\n📱 APP USAGE (frames + estimated time)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-30s %5d frames ~%5.1f min', app_name, COUNT(*), ROUND(COUNT(*) * 4.5 / 60.0, 1))
FROM frames
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY app_name ORDER BY COUNT(*) DESC;"
echo "\n⌨️ ACTIVITY TYPE PER APP (clicks / keys / switches)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-25s clicks:%-5d keys:%-5d switches:%-4d',
app_name,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END),
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END),
SUM(CASE WHEN event_type='app_switch' THEN 1 ELSE 0 END))
FROM ui_events
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY app_name ORDER BY COUNT(*) DESC;"
echo "\n🌐 BROWSER URLS VISITED"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%4d frames %s', COUNT(*), browser_url)
FROM frames
WHERE date(timestamp) = '$DATE' AND browser_url IS NOT NULL
GROUP BY browser_url ORDER BY COUNT(*) DESC LIMIT 20;"
echo "\n🪟 WINDOW TITLES (top 20)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-20s %3d %s', app_name, COUNT(*), SUBSTR(window_name,1,60))
FROM frames
WHERE date(timestamp) = '$DATE' AND window_name IS NOT NULL AND app_name IS NOT NULL
GROUP BY app_name, window_name ORDER BY COUNT(*) DESC LIMIT 20;"
echo "\n🕐 HOURLY TIMELINE"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%s %-20s %3d frames', strftime('%H:00', timestamp), app_name, COUNT(*))
FROM frames
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY strftime('%H', timestamp), app_name
ORDER BY strftime('%H', timestamp), COUNT(*) DESC;"
echo "\n📋 CLIPBOARD ACTIVITY"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-20s %s', app_name, SUBSTR(text_content, 1, 80))
FROM ui_events
WHERE date(timestamp) = '$DATE' AND event_type = 'clipboard' AND text_content IS NOT NULL
ORDER BY timestamp LIMIT 20;"
echo "\n💬 OCR TEXT SAMPLES PER APP"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-15s %s', o.app_name, SUBSTR(o.text, 1, 80))
FROM ocr_text o
JOIN frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$DATE' AND o.app_name IS NOT NULL AND o.text != ''
GROUP BY o.app_name
ORDER BY o.app_name LIMIT 15;"
echo "\n🔢 TOTALS"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT
'Frames: ' || COUNT(*) FROM frames WHERE date(timestamp) = '$DATE';
"
sqlite3 "$DB" "
SELECT 'UI Events: ' || COUNT(*) FROM ui_events WHERE date(timestamp) = '$DATE';
"
sqlite3 "$DB" "
SELECT 'OCR texts: ' || COUNT(*) FROM ocr_text o JOIN frames f ON o.frame_id = f.id WHERE date(f.timestamp) = '$DATE';
"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST [URL_WITH_CREDENTIALS] /Volumes $ curl -X POST [URL_WITH_CREDENTIALS] /Volumes $ curl [URL_WITH_CREDENTIALS] /Volumes $ curl -s [URL_WITH_CREDENTIALS] /Volumes $ echo "alias sp-status='curl -s [URL_WITH_CREDENTIALS] /Volumes $ sp-status
zsh: command not found: sp-status
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ source ~/.zprofile
Poetry could not find a pyproject.toml file in /Volumes or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status
zsh: command not found: sp-status
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ zp
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls
Apps Macintosh HD Test screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cd
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ll
total 1272
drwx------+ 89 lukas staff 2848 11 Apr 18:38 .
drwxr-xr-x 5 root admin 160 23 Aug 2024 ..
-r-------- 1 lukas staff 7 18 Nov 2021 .CFUserTextEncoding
-rw-r--r--@ 1 lukas staff 22532 11 Apr 16:46 .DS_Store
drwx------+ 2 lukas staff 64 11 Apr 11:15 .Trash
drwx------ 5 lukas staff 160 1 Nov 2021 .aws
-rw-r--r-- 1 lukas staff 341470 29 Sep 2022 .babel.json
-rw-------@ 1 lukas staff 388 25 Jul 2025 .bash_history
-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .bashrc
drwxr-xr-x 5 lukas staff 160 11 Mar 2023 .bito
drwx------@ 6 lukas staff 192 9 Apr 19:53 .cache
drwxr-xr-x 20 lukas staff 640 9 Apr 21:21 .claude
-rw------- 1 lukas staff 24973 9 Apr 21:24 .claude.json
drwxr-xr-x@ 20 lukas staff 640 12 Mar 09:12 .codeium
drwxrwxrwx@ 3 lukas staff 96 2 Mar 2023 .composer
drwx------ 16 lukas staff 512 21 May 2025 .config
drwxr-xr-x 15 lukas staff 480 23 Dec 2024 .continue
drwx------@ 3 lukas staff 96 16 Feb 19:13 .copilot
drwxr-xr-x@ 5 lukas staff 160 9 Apr 2025 .cursor
drwxr-xr-x@ 5 lukas staff 160 17 Aug 2024 .cursor-tutor
drwxr-xr-x 3 lukas staff 96 8 Sep 2024 .daytona
drwxr-xr-x@ 4 lukas staff 128 18 Feb 10:52 .devdb
drwx------ 24 lukas staff 768 9 Apr 18:24 .docker
drwx------ 15 lukas staff 480 6 Jun 2023 .dropbox
drwxr-xr-x@ 3 lukas staff 96 20 Nov 2022 .fig.dotfiles.bak
-rw-r--r-- 1 lukas staff 138 5 Mar 2022 .gauth
-rw-r--r-- 1 lukas staff 220 25 Nov 2021 .gitconfig
-rw-r--r-- 1 lukas staff 12288 25 Nov 2021 .gitconfig.swp
drwx------ 5 lukas staff 160 18 Nov 2021 .hammerspoon
drwxr-xr-x 3 lukas staff 96 21 Mar 2025 .idlerc
-rw------- 1 lukas staff 20 31 Mar 18:32 .lesshst
drwx------ 5 lukas staff 160 23 Dec 2024 .local
-rw------- 1 lukas staff 204 16 Mar 2024 .netrc
drwx------ 3 lukas staff 96 1 Nov 2021 .node-gyp
-rw------- 1 lukas staff 4 6 Feb 2024 .node_repl_history
-rw-r--r-- 1 lukas staff 17 24 Dec 2023 .notion-enhancer
drwxr-xr-x 4 lukas staff 128 12 Jul 2024 .notion-py
drwx------ 9 lukas staff 288 11 Apr 18:41 .npm
-rw------- 1 lukas staff 74 20 May 2024 .npmrc
drwx------ 32 lukas staff 1024 25 Jul 2025 .nvm
drwxr-xr-x 4 lukas staff 128 5 Aug 2023 .postman
-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .profile
-rw-------@ 1 lukas staff 3153 21 Mar 2025 .python_history
drwx------ 2 lukas staff 64 15 Nov 2021 .quicktype-vscode
drwxr-xr-x@ 8 lukas staff 256 16 Feb 08:48 .redis-insight
drwxr-xr-x 10 lukas staff 320 11 Apr 14:52 .screenpipe
UW PICO 5.09 New Buffer
[ Read 11 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
drwxr-xr-x 4 lukas staff 128 4 Feb 09:35 .sonarlint
drwx------ 15 lukas staff 480 8 Aug 2025 .ssh
drwxr-xr-x@ 3 lukas staff 96 15 Aug 2025 .streamlit
drwx------ 6 lukas staff 192 17 Oct 2022 .swiftpm
-rw------- 1 lukas staff 12183 8 Apr 19:14 .viminfo
drwx------ 5 lukas staff 160 19 Jun 2023 .vscode
drwxr-xr-x@ 3 lukas staff 96 20 Jan 2025 .warp
drwxr-xr-x 4 lukas staff 128 29 Apr 2023 .wdm
drwxr-xr-x@ 5 lukas staff 160 26 Jan 13:03 .windsurf
drwxr-xr-x 4 lukas staff 128 24 Mar 12:03 .yarn
-rw-r--r-- 1 lukas staff 116 30 Mar 10:12 .yarnrc
-rw-r--r--@ 1 lukas staff 49518 6 Apr 14:31 .zcompdump
-rw-r--r--@ 1 lukas staff 46758 2 Nov 20:34 .zcompdump.Lukas-Kovaliks-MacBook-Pro-Jiminny.23381
-rw-r--r--@ 1 lukas staff 5641 9 Apr 20:30 .zprofile
-rw-r--r-- 1 lukas staff 1468 8 Apr 2022 .zprofile-copy
-rw-r--r--@ 1 lukas staff 2900 15 Mar 2023 .zprofile.pysave
-rw------- 1 lukas staff 1731 29 Jun 2022 .zprofile.save
-rw-r--r-- 1 lukas staff 1569 8 Apr 2022 .zprofilees
UW PICO 5.09 New Buffer
[ Read 13 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
-rw------- 1 lukas staff 28812 11 Apr 18:38 .zsh_history
drwx------ 9 lukas staff 288 6 May 2025 .zsh_sessions
-rw-r--r--@ 1 lukas staff 597 11 Apr 18:44 .zshrc
drwx------@ 9 lukas staff 288 9 Apr 20:08 Applications
drwxr-xr-x@ 2 lukas staff 64 22 Oct 09:35 CascadeProjects
drwxr-xr-x 4 lukas staff 128 27 Oct 09:24 DEV
drwx------@ 10 lukas staff 320 11 Apr 18:31 Desktop
drwx------@ 7 lukas staff 224 26 Mar 14:40 Documents
drwx------@ 41 lukas staff 1312 8 Apr 20:46 Downloads
drwxr-xr-x@ 4 lukas staff 128 17 Mar 20:27 Keychron_Screen
drwx------@ 112 lukas staff 3584 2 Dec 09:19 Library
drwx------ 7 lukas staff 224 12 Feb 2024 Movies
drwx------+ 5 lukas staff 160 25 Sep 2023 Music
drwx------+ 9 lukas staff 288 25 Sep 2023 Pictures
drwx------ 3 lukas staff 96 8 Nov 2021 Postman
drwx------+ 4 lukas staff 128 28 Oct 2021 Public
-rw-r--r--@ 1 lukas staff 3950 15 Dec 09:16 Untitled 4.spf
drwx------ 4 lukas staff 128 2 Jul 2023 Users
drwx------ 3 lukas staff 96 30 Sep 2022 iCloud Drive (Archive)
drwx------ 16 lukas staff 512 3 Nov 11:35 jiminny
drwxr-xr-x 3 lukas staff 96 20 Mar 18:47 node_modules
drwxr-xr-x 4 lukas staff 128 21 Oct 18:15 raycast
-rw-r--r-- 1 lukas staff 0 1 Mar 14:26 response.bin
-rwxr-xr-x 1 lukas staff 3824 11 Apr 15:16 screenpipe-day.sh
-rw-r--r-- 1 lukas staff 86 20 Mar 18:47 yarn.lock
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano .zshrc
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ echo "alias sp-status='curl -s [URL_WITH_CREDENTIALS] ~ $ source ~/.zprofile
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-status
{
"status": "healthy",
"frame_status": "ok",
"audio_status": "disabled",
"last_frame": "2026-04-11T18:47:17+03:00",
"uptime": 345.971219541,
"fps": 0.[CREDIT_CARD],
"frames": 34
}
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop
screenpipe stopped
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start
[1] 41216
detected hardware tier: Mid
checking permissions...
screen recording: ok
accessibility: ok
2026-04-11T18:54:13.170097Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T18:54:13.812964Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T18:54:13.819889Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T18:54:13.819889Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T18:54:13.820291Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T18:54:13.820220Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T18:54:13.820450Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T18:54:13.820896Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T18:54:13.820856Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T18:54:13.821123Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T18:54:13.821801Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T18:54:13.821972Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T18:54:13.822128Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T18:54:13.822942Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T18:54:13.822962Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ true │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ disabled │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T18:54:18.859011Z INFO screenpipe_engine::retention: retention: initialized with 14d retention
2026-04-11T18:54:18.859467Z INFO screenpipe: local retention auto-enabled (14 days)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop
screenpipe stopped
[1] + terminated npx screenpipe@latest record --disable-audio
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT DISTINCT window_name
FROM frames
WHERE app_name IN ('Safari', 'Firefox', 'Arc', 'Chrome')
AND window_name IS NOT NULL
UW PICO 5.09 New Buffer
[ Read 13 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
ORDER BY window_name;"
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8 — Personal
Denník N - Nezávislý denník — Personal
Edit profile — Personal
Location Logger
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal
Maďarské voľby – Denník N — Personal
Personal — Mozilla Firefox
Picture-in-Picture
Problem loading page — Personal
Screenpipe Dashboard — Personal
Settings — Personal
Sign in – Google accounts — Personal
Tailscale — Personal
UGREEN NAS — Personal
Vimium Options — Personal
Vimium – Get this Extension for 🦊 Firefox (en-US) — Personal
firefox sidebar - Google Search — Personal
tilscale admin panel - Google Search — Personal
Order Room Service • HBO Max
Shameless • HBO Max
Shameless • HBO Max — Personal
Simple Pleasures • HBO Max — Personal
Časť 2 • HBO Max — Personal
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/config.json
{
"disable_audio": true,
"monitor_ids": ["Display 1_1440x900_0,0", "Display 2_3008x1253_-813,-1253"],
"ignored_windows": [
"1Password",
"Keychain Access",
"Bitwarden",
"System Preferences",
"System Settings",
"zoom.us",
"HBO Max",
]
}
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe && sleep 2 && npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-11T19:00:06.546722Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T19:00:07.267955Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T19:00:07.269566Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T19:00:07.269564Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T19:00:07.269921Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T19:00:07.470439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T19:00:07.470481Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T19:00:07.470420Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T19:00:07.470877Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T19:00:07.471071Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T19:00:07.471748Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T19:00:07.471948Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T19:00:07.472085Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T19:00:07.472295Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T19:00:07.472315Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T19:00:14.624523Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2
2026-04-11T19:00:14.624669Z INFO screenpipe: shutdown complete
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-11T19:00:31.694964Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T19:00:32.442217Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T19:00:32.443687Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T19:00:32.443694Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T19:00:32.444120Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T19:00:32.662907Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T19:00:32.662887Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T19:00:32.662980Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T19:00:32.663355Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T19:00:32.663550Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T19:00:32.664216Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T19:00:32.664395Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T19:00:32.664552Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T19:00:32.665488Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T19:00:32.665515Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T19:00:42.589528Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 47668625-ff04-42f8-aa0d-f4...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"drwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ touch /Volumes/screenpipe/test.txt\ntouch: /Volumes/screenpipe/test.txt: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ umount /Volumes/screenpipe\numount: unmount(/Volumes/screenpipe): Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ touch /Volumes/screenpipe/test.txt\ntouch: /Volumes/screenpipe/test.txt: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite\ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@100.73.206.126:/volume1/screenpipe/db.sqlite\nscp: dest open \"/volume1/screenpipe/db.sqlite\": No such file or directory\nscp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@100.73.206.126:/volume1/screenpipe/\nscp: dest open \"/volume1/screenpipe/\": No such file or directory\nscp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 32\ndrwxr-xr-x 4 root wheel 128 11 Apr 16:35 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $clear\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: touch:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: bad pattern: unmount(/Volumes/screenpipe):\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: touch:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: cp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: scp:\nzsh: command not found: scp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: scp:\nzsh: command not found: scp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: total\nzsh: command not found: drwxr-xr-x\nzsh: command not found: drwxr-xr-x\nzsh: file exists: /\nzsh: command not found: drwx------\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@100.73.206.126:/volume1/screenpipe/db.sqlite\nscp: dest open \"/volume1/screenpipe/db.sqlite\": No such file or directory\nscp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls \nMacintosh HD\u0000\u0000\u0000\tscreenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 32\ndrwxr-xr-x 4 root wheel 128 11 Apr 16:35 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite\ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/db.sqlite\ncp: /Volumes/Test/screenpipe/db.sqlite: No such file or directory\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/ \ncp: directory /Volumes/Test/screenpipe does not exist\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite \ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/ \ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 96\ndrwxr-xr-x 6 root wheel 192 11 Apr 16:45 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\ndrwx------ 1 lukas staff 16384 10 Aug 2025 Apps\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 15:46 Test\ndrwx------ 1 lukas staff 16384 11 Apr 16:47 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/pipes/ /Volumes/Test/screenpipe/pipes/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/data/data/ /Volumes/Test/screenpipe/data/ \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sed 's|$HOME/.screenpipe/db.sqlite|/volume1/Test/screenpipe/db.sqlite|g' ~/screenpipe-day.sh > /volume1/Test/screenpipe/screenpipe-day.sh\nzsh: no such file or directory: /volume1/Test/screenpipe/screenpipe-day.sh\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cat ~/screenpipe-day.sh \n#!/bin/zsh\nDB=\"$HOME/.screenpipe/db.sqlite\"\nDATE=${1:-$(date -v-1d '+%Y-%m-%d')}\n\necho \"═══════════════════════════════════════\"\necho \" SCREENPIPE REPORT — $DATE\"\necho \"═══════════════════════════════════════\"\n\necho \"\\n📱\u0000 APP USAGE (frames + estimated time)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-30s %5d frames ~%5.1f min', app_name, COUNT(*), ROUND(COUNT(*) * 4.5 / 60.0, 1))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY app_name ORDER BY COUNT(*) DESC;\"\n\necho \"\\n⌨️\u0000 ACTIVITY TYPE PER APP (clicks / keys / switches)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-25s clicks:%-5d keys:%-5d switches:%-4d', \n app_name,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END),\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END),\n SUM(CASE WHEN event_type='app_switch' THEN 1 ELSE 0 END))\nFROM ui_events\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY app_name ORDER BY COUNT(*) DESC;\"\n\necho \"\\n🌐\u0000 BROWSER URLS VISITED\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%4d frames %s', COUNT(*), browser_url)\nFROM frames\nWHERE date(timestamp) = '$DATE' AND browser_url IS NOT NULL\nGROUP BY browser_url ORDER BY COUNT(*) DESC LIMIT 20;\"\n\necho \"\\n🪟\u0000 WINDOW TITLES (top 20)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-20s %3d %s', app_name, COUNT(*), SUBSTR(window_name,1,60))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND window_name IS NOT NULL AND app_name IS NOT NULL\nGROUP BY app_name, window_name ORDER BY COUNT(*) DESC LIMIT 20;\"\n\necho \"\\n🕐\u0000 HOURLY TIMELINE\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%s %-20s %3d frames', strftime('%H:00', timestamp), app_name, COUNT(*))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY strftime('%H', timestamp), app_name\nORDER BY strftime('%H', timestamp), COUNT(*) DESC;\"\n\necho \"\\n📋\u0000 CLIPBOARD ACTIVITY\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-20s %s', app_name, SUBSTR(text_content, 1, 80))\nFROM ui_events\nWHERE date(timestamp) = '$DATE' AND event_type = 'clipboard' AND text_content IS NOT NULL\nORDER BY timestamp LIMIT 20;\"\n\necho \"\\n💬\u0000 OCR TEXT SAMPLES PER APP\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-15s %s', o.app_name, SUBSTR(o.text, 1, 80))\nFROM ocr_text o\nJOIN frames f ON o.frame_id = f.id\nWHERE date(f.timestamp) = '$DATE' AND o.app_name IS NOT NULL AND o.text != ''\nGROUP BY o.app_name\nORDER BY o.app_name LIMIT 15;\"\n\necho \"\\n🔢\u0000 TOTALS\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT \n 'Frames: ' || COUNT(*) FROM frames WHERE date(timestamp) = '$DATE';\n\"\nsqlite3 \"$DB\" \"\nSELECT 'UI Events: ' || COUNT(*) FROM ui_events WHERE date(timestamp) = '$DATE';\n\"\nsqlite3 \"$DB\" \"\nSELECT 'OCR texts: ' || COUNT(*) FROM ocr_text o JOIN frames f ON o.frame_id = f.id WHERE date(f.timestamp) = '$DATE';\n\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\ncurl: (7) Failed to connect to localhost port 3030 after 0 ms: Couldn't connect to server\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 11194 0 --:--:-- --:--:-- --:--:-- 11666\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl http://localhost:3030/health | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 943 100 943 0 0 574k 0 --:--:-- --:--:-- --:--:-- 920k\n{\n \"audio_db_write_stalled\": false,\n \"audio_status\": \"disabled\",\n \"device_status_details\": null,\n \"drm_content_paused\": false,\n \"frame_status\": \"ok\",\n \"hostname\": \"Lukas-Kovaliks-MacBook-Pro-Jiminny\",\n \"last_audio_timestamp\": null,\n \"last_frame_timestamp\": \"2026-04-11T18:42:01+03:00\",\n \"message\": \"all systems are functioning normally.\",\n \"monitors\": [\n \"Display 1 (1440x900)\",\n \"Display 2 (2560x1440)\"\n ],\n \"pipeline\": {\n \"avg_db_latency_ms\": 56.5,\n \"avg_ocr_latency_ms\": 0.0,\n \"capture_fps_actual\": 0.5718911974206078,\n \"frame_drop_rate\": 0.0,\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 134 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \n \"frames_captured\": 2,\n \"frames_db_written\": 2,\n \"frames_dropped\": 0,\n \"ocr_cache_hit_rate\": 0.0,\n \"ocr_queue_depth\": 0,\n \"pipeline_stall_count\": 0,\n \"time_to_first_frame_ms\": 1250.985,\n \"uptime_secs\": 3.497168708,\n \"video_queue_depth\": 0\n },\n \"pool_stats\": {\n \"read_pool_idle\": 3,\n \"read_pool_size\": 3,\n \"write_pool_idle\": 2,\n \"write_pool_size\": 2\n },\n \"schedule_paused\": false,\n \"status\": \"healthy\",\n \"status_code\": 200,\n \"verbose_instructions\": null,\n \"version\": \"0.3.278\",\n \"vision_db_write_stalled\": false\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -s http://localhost:3030/health | jq '{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}'\n{\n \"status\": \"healthy\",\n \"frame_status\": \"ok\",\n \"audio_status\": \"disabled\",\n \"last_frame\": \"2026-04-11T18:43:24+03:00\",\n \"uptime\": 85.845911708,\n \"fps\": 0.198029232397514,\n \"frames\": 17\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ echo \"alias sp-status='curl -s http://localhost:3030/health | jq \\\"{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}\\\"'\" >> ~/.zshrc\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status\nzsh: command not found: sp-status\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ source ~/.zprofile\n\nPoetry could not find a pyproject.toml file in /Volumes or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status \nzsh: command not found: sp-status\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ zp\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls\nApps\u0000\u0000\u0000\t\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tMacintosh HD\u0000\u0000\u0000\tTest\u0000\u0000\u0000\t\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tscreenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cd\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ll\ntotal 1272\ndrwx------+ 89 lukas staff 2848 11 Apr 18:38 .\ndrwxr-xr-x 5 root admin 160 23 Aug 2024 ..\n-r-------- 1 lukas staff 7 18 Nov 2021 .CFUserTextEncoding\n-rw-r--r--@ 1 lukas staff 22532 11 Apr 16:46 .DS_Store\ndrwx------+ 2 lukas staff 64 11 Apr 11:15 .Trash\ndrwx------ 5 lukas staff 160 1 Nov 2021 .aws\n-rw-r--r-- 1 lukas staff 341470 29 Sep 2022 .babel.json\n-rw-------@ 1 lukas staff 388 25 Jul 2025 .bash_history\n-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .bashrc\ndrwxr-xr-x 5 lukas staff 160 11 Mar 2023 .bito\ndrwx------@ 6 lukas staff 192 9 Apr 19:53 .cache\ndrwxr-xr-x 20 lukas staff 640 9 Apr 21:21 .claude\n-rw------- 1 lukas staff 24973 9 Apr 21:24 .claude.json\ndrwxr-xr-x@ 20 lukas staff 640 12 Mar 09:12 .codeium\ndrwxrwxrwx@ 3 lukas staff 96 2 Mar 2023 .composer\ndrwx------ 16 lukas staff 512 21 May 2025 .config\ndrwxr-xr-x 15 lukas staff 480 23 Dec 2024 .continue\ndrwx------@ 3 lukas staff 96 16 Feb 19:13 .copilot\ndrwxr-xr-x@ 5 lukas staff 160 9 Apr 2025 .cursor\ndrwxr-xr-x@ 5 lukas staff 160 17 Aug 2024 .cursor-tutor\ndrwxr-xr-x 3 lukas staff 96 8 Sep 2024 .daytona\ndrwxr-xr-x@ 4 lukas staff 128 18 Feb 10:52 .devdb\ndrwx------ 24 lukas staff 768 9 Apr 18:24 .docker\ndrwx------ 15 lukas staff 480 6 Jun 2023 .dropbox\ndrwxr-xr-x@ 3 lukas staff 96 20 Nov 2022 .fig.dotfiles.bak\n-rw-r--r-- 1 lukas staff 138 5 Mar 2022 .gauth\n-rw-r--r-- 1 lukas staff 220 25 Nov 2021 .gitconfig\n-rw-r--r-- 1 lukas staff 12288 25 Nov 2021 .gitconfig.swp\ndrwx------ 5 lukas staff 160 18 Nov 2021 .hammerspoon\ndrwxr-xr-x 3 lukas staff 96 21 Mar 2025 .idlerc\n-rw------- 1 lukas staff 20 31 Mar 18:32 .lesshst\ndrwx------ 5 lukas staff 160 23 Dec 2024 .local\n-rw------- 1 lukas staff 204 16 Mar 2024 .netrc\ndrwx------ 3 lukas staff 96 1 Nov 2021 .node-gyp\n-rw------- 1 lukas staff 4 6 Feb 2024 .node_repl_history\n-rw-r--r-- 1 lukas staff 17 24 Dec 2023 .notion-enhancer\ndrwxr-xr-x 4 lukas staff 128 12 Jul 2024 .notion-py\ndrwx------ 9 lukas staff 288 11 Apr 18:41 .npm\n-rw------- 1 lukas staff 74 20 May 2024 .npmrc\ndrwx------ 32 lukas staff 1024 25 Jul 2025 .nvm\ndrwxr-xr-x 4 lukas staff 128 5 Aug 2023 .postman\n-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .profile\n-rw-------@ 1 lukas staff 3153 21 Mar 2025 .python_history\ndrwx------ 2 lukas staff 64 15 Nov 2021 .quicktype-vscode\ndrwxr-xr-x@ 8 lukas staff 256 16 Feb 08:48 .redis-insight\ndrwxr-xr-x 10 lukas staff 320 11 Apr 14:52 .screenpipe\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 11 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \ndrwxr-xr-x 4 lukas staff 128 4 Feb 09:35 .sonarlint\ndrwx------ 15 lukas staff 480 8 Aug 2025 .ssh\ndrwxr-xr-x@ 3 lukas staff 96 15 Aug 2025 .streamlit\ndrwx------ 6 lukas staff 192 17 Oct 2022 .swiftpm\n-rw------- 1 lukas staff 12183 8 Apr 19:14 .viminfo\ndrwx------ 5 lukas staff 160 19 Jun 2023 .vscode\ndrwxr-xr-x@ 3 lukas staff 96 20 Jan 2025 .warp\ndrwxr-xr-x 4 lukas staff 128 29 Apr 2023 .wdm\ndrwxr-xr-x@ 5 lukas staff 160 26 Jan 13:03 .windsurf\ndrwxr-xr-x 4 lukas staff 128 24 Mar 12:03 .yarn\n-rw-r--r-- 1 lukas staff 116 30 Mar 10:12 .yarnrc\n-rw-r--r--@ 1 lukas staff 49518 6 Apr 14:31 .zcompdump\n-rw-r--r--@ 1 lukas staff 46758 2 Nov 20:34 .zcompdump.Lukas-Kovaliks-MacBook-Pro-Jiminny.23381\n-rw-r--r--@ 1 lukas staff 5641 9 Apr 20:30 .zprofile\n-rw-r--r-- 1 lukas staff 1468 8 Apr 2022 .zprofile-copy\n-rw-r--r--@ 1 lukas staff 2900 15 Mar 2023 .zprofile.pysave\n-rw------- 1 lukas staff 1731 29 Jun 2022 .zprofile.save\n-rw-r--r-- 1 lukas staff 1569 8 Apr 2022 .zprofilees\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 13 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \n-rw------- 1 lukas staff 28812 11 Apr 18:38 .zsh_history\ndrwx------ 9 lukas staff 288 6 May 2025 .zsh_sessions\n-rw-r--r--@ 1 lukas staff 597 11 Apr 18:44 .zshrc\ndrwx------@ 9 lukas staff 288 9 Apr 20:08 Applications\ndrwxr-xr-x@ 2 lukas staff 64 22 Oct 09:35 CascadeProjects\ndrwxr-xr-x 4 lukas staff 128 27 Oct 09:24 DEV\ndrwx------@ 10 lukas staff 320 11 Apr 18:31 Desktop\ndrwx------@ 7 lukas staff 224 26 Mar 14:40 Documents\ndrwx------@ 41 lukas staff 1312 8 Apr 20:46 Downloads\ndrwxr-xr-x@ 4 lukas staff 128 17 Mar 20:27 Keychron_Screen\ndrwx------@ 112 lukas staff 3584 2 Dec 09:19 Library\ndrwx------ 7 lukas staff 224 12 Feb 2024 Movies\ndrwx------+ 5 lukas staff 160 25 Sep 2023 Music\ndrwx------+ 9 lukas staff 288 25 Sep 2023 Pictures\ndrwx------ 3 lukas staff 96 8 Nov 2021 Postman\ndrwx------+ 4 lukas staff 128 28 Oct 2021 Public\n-rw-r--r--@ 1 lukas staff 3950 15 Dec 09:16 Untitled 4.spf\ndrwx------ 4 lukas staff 128 2 Jul 2023 Users\ndrwx------ 3 lukas staff 96 30 Sep 2022 iCloud Drive (Archive)\ndrwx------ 16 lukas staff 512 3 Nov 11:35 jiminny\ndrwxr-xr-x 3 lukas staff 96 20 Mar 18:47 node_modules\ndrwxr-xr-x 4 lukas staff 128 21 Oct 18:15 raycast\n-rw-r--r-- 1 lukas staff 0 1 Mar 14:26 response.bin\n-rwxr-xr-x 1 lukas staff 3824 11 Apr 15:16 screenpipe-day.sh\n-rw-r--r-- 1 lukas staff 86 20 Mar 18:47 yarn.lock\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano .zshrc \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ echo \"alias sp-status='curl -s http://localhost:3030/health | jq \\\"{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}\\\"'\" >> ~/.zprofile\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ source ~/.zprofile\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-status \n{\n \"status\": \"healthy\",\n \"frame_status\": \"ok\",\n \"audio_status\": \"disabled\",\n \"last_frame\": \"2026-04-11T18:47:17+03:00\",\n \"uptime\": 345.971219541,\n \"fps\": 0.0982740704417778,\n \"frames\": 34\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop\nscreenpipe stopped\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start \n[1] 41216\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-11T18:54:13.170097Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T18:54:13.812964Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T18:54:13.819889Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T18:54:13.819889Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T18:54:13.820291Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T18:54:13.820220Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T18:54:13.820450Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T18:54:13.820896Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T18:54:13.820856Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T18:54:13.821123Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T18:54:13.821801Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T18:54:13.821972Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T18:54:13.822128Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T18:54:13.822942Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T18:54:13.822962Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T18:54:13.824479Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T18:54:13.824829Z INFO screenpipe: starting UI event capture\n2026-04-11T18:54:13.828568Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T18:54:13.829646Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T18:54:13.838998Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T18:54:13.852999Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T18:54:13.853108Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 15:54:13.853107 UTC to 2026-04-11 15:54:13.853107 UTC)\n2026-04-11T18:54:13.853121Z INFO screenpipe_engine::ui_recorder: UI recording session started: 13f9ef4b-a7db-47ce-844f-778b4b926db5\n2026-04-11T18:54:13.854048Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T18:54:13.859344Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T18:54:13.864448Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T18:54:14.006638Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 878 frame entries, coverage from 2026-04-10 15:54:13.853107 UTC\n2026-04-11T18:54:14.161101Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T18:54:14.161134Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T18:54:14.161145Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T18:54:14.161153Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T18:54:14.161204Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T18:54:14.958802Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T18:54:15.096012Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1402, dur=52ms\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T18:54:18.859011Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T18:54:18.859467Z INFO screenpipe: local retention auto-enabled (14 days)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop\nscreenpipe stopped\n[1] + terminated npx screenpipe@latest record --disable-audio \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT DISTINCT window_name\nFROM frames\nWHERE app_name IN ('Safari', 'Firefox', 'Arc', 'Chrome')\nAND window_name IS NOT NULL\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 13 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \nORDER BY window_name;\"\nDXP4800PLUS-B5F8\nDXP4800PLUS-B5F8 — Personal\nDenník N - Nezávislý denník — Personal\nEdit profile — Personal\nLocation Logger\nLoď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal\nMaďarské voľby – Denník N — Personal\nPersonal — Mozilla Firefox\nPicture-in-Picture\nProblem loading page — Personal\nScreenpipe Dashboard — Personal\nSettings — Personal\nSign in – Google accounts — Personal\nTailscale — Personal\nUGREEN NAS — Personal\nVimium Options — Personal\nVimium – Get this Extension for 🦊\u0000 Firefox (en-US) — Personal\nfirefox sidebar - Google Search — Personal\ntilscale admin panel - Google Search — Personal\nOrder Room Service • HBO Max\nShameless • HBO Max\nShameless • HBO Max — Personal\nSimple Pleasures • HBO Max — Personal\nČasť 2 • HBO Max — Personal\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/config.json \n{\n \"disable_audio\": true,\n \"monitor_ids\": [\"Display 1_1440x900_0,0\", \"Display 2_3008x1253_-813,-1253\"],\n \"ignored_windows\": [\n \"1Password\",\n \"Keychain Access\",\n \"Bitwarden\",\n \"System Preferences\",\n \"System Settings\",\n \"zoom.us\",\n \"HBO Max\",\n ]\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe && sleep 2 && npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record \ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-11T19:00:06.546722Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T19:00:07.267955Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T19:00:07.269566Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T19:00:07.269564Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T19:00:07.269921Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T19:00:07.470439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T19:00:07.470481Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T19:00:07.470420Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T19:00:07.470877Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T19:00:07.471071Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T19:00:07.471748Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T19:00:07.471948Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T19:00:07.472085Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T19:00:07.472295Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T19:00:07.472315Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T19:00:07.473167Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T19:00:07.473787Z INFO screenpipe: starting UI event capture\n2026-04-11T19:00:07.476515Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T19:00:07.485630Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T19:00:07.489867Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T19:00:07.503670Z INFO screenpipe_engine::ui_recorder: UI recording session started: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2\n2026-04-11T19:00:07.503881Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T19:00:07.503967Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 16:00:07.503966 UTC to 2026-04-11 16:00:07.503966 UTC)\n2026-04-11T19:00:07.504283Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T19:00:07.509408Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T19:00:07.514386Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T19:00:07.659978Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 879 frame entries, coverage from 2026-04-10 16:00:07.503966 UTC\n2026-04-11T19:00:07.820721Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T19:00:07.820747Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T19:00:07.820758Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T19:00:07.820766Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T19:00:07.820805Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T19:00:08.565404Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T19:00:08.709384Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1403, dur=60ms\n2026-04-11T19:00:12.507772Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T19:00:12.508217Z INFO screenpipe: local retention auto-enabled (14 days)\n^C2026-04-11T19:00:14.475068Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-11T19:00:14.476266Z INFO screenpipe: stopping UI event capture\n2026-04-11T19:00:14.476480Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-11T19:00:14.476552Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-11T19:00:14.476564Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-11T19:00:14.476595Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-11T19:00:14.477268Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n\n2026-04-11T19:00:14.481053Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s) \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T19:00:14.624523Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2\n2026-04-11T19:00:14.624669Z INFO screenpipe: shutdown complete\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-11T19:00:31.694964Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T19:00:32.442217Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T19:00:32.443687Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T19:00:32.443694Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T19:00:32.444120Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T19:00:32.662907Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T19:00:32.662887Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T19:00:32.662980Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T19:00:32.663355Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T19:00:32.663550Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T19:00:32.664216Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T19:00:32.664395Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T19:00:32.664552Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T19:00:32.665488Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T19:00:32.665515Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T19:00:32.667186Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T19:00:32.667286Z INFO screenpipe: starting UI event capture\n2026-04-11T19:00:32.670076Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T19:00:32.672989Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T19:00:32.681327Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T19:00:32.695244Z INFO screenpipe_engine::ui_recorder: UI recording session started: 47668625-ff04-42f8-aa0d-f468ff11f0ff\n2026-04-11T19:00:32.695238Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T19:00:32.695298Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 16:00:32.695296 UTC to 2026-04-11 16:00:32.695296 UTC)\n2026-04-11T19:00:32.695769Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T19:00:32.701263Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T19:00:32.705041Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T19:00:32.852998Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 880 frame entries, coverage from 2026-04-10 16:00:32.695296 UTC\n2026-04-11T19:00:32.998691Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T19:00:32.998717Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T19:00:32.998728Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T19:00:32.998739Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T19:00:32.998790Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T19:00:33.736410Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T19:00:34.302357Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1404, dur=507ms\n2026-04-11T19:00:37.699366Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T19:00:37.699830Z INFO screenpipe: local retention auto-enabled (14 days)\n^C2026-04-11T19:00:42.463354Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-11T19:00:42.463443Z INFO screenpipe: stopping UI event capture\n2026-04-11T19:00:42.463473Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-11T19:00:42.463494Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-11T19:00:42.463501Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-11T19:00:42.463509Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-11T19:00:42.463516Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n\n2026-04-11T19:00:42.466209Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s) \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T19:00:42.589528Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 47668625-ff04-42f8-aa0d-f468ff11f0ff\n2026-04-11T19:00:42.589635Z INFO screenpipe: shutdown complete\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start\n[1] 42748\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-11T20:26:04.829554Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T20:26:05.341444Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T20:26:05.345218Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T20:26:05.345229Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T20:26:05.345415Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T20:26:05.345428Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T20:26:05.345477Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T20:26:05.345864Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T20:26:05.346065Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T20:26:05.346166Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T20:26:05.346730Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T20:26:05.346883Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T20:26:05.346990Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T20:26:05.347093Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T20:26:05.347108Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T20:26:05.348501Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T20:26:05.348754Z INFO screenpipe: starting UI event capture\n2026-04-11T20:26:05.353656Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T20:26:05.358540Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T20:26:05.363864Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T20:26:05.378325Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T20:26:05.378392Z INFO screenpipe_engine::ui_recorder: UI recording session started: 5b17c7fe-3811-4788-a81b-6b04773808f1\n2026-04-11T20:26:05.378564Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 17:26:05.378561 UTC to 2026-04-11 17:26:05.378561 UTC)\n2026-04-11T20:26:05.379467Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T20:26:05.384798Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T20:26:05.389960Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T20:26:05.528107Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 883 frame entries, coverage from 2026-04-10 17:26:05.378561 UTC\n2026-04-11T20:26:05.683177Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T20:26:05.683293Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T20:26:05.683303Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T20:26:05.683311Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T20:26:05.683359Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T20:26:06.488545Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T20:26:07.067446Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1407, dur=537ms\n2026-04-11T20:26:08.752985Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-9215443531147982391, trigger=visual_change)\n2026-04-11T20:26:10.383131Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T20:26:10.383762Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-11T20:26:38.337011Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-9215443531147982391, trigger=click)\n2026-04-11T20:26:55.992688Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5606118560581161138, trigger=click)\n2026-04-11T20:26:57.331771Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5606118560581161138, trigger=click)\n2026-04-11T20:27:05.408691Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 61 eligible frames\n2026-04-11T20:27:09.664908Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 61 frames, 9.4MB → 3.3MB (2.8x), 61 JPEGs deleted\n2026-04-11T20:31:05.374969Z INFO screenpipe_engine::server: api_usage_5min: 1 requests\n2026-04-11T20:31:40.380610Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-28T17:31:40.380594+00:00 (14d retention)\n2026-04-11T20:32:09.668412Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 1 eligible frames","depth":4,"value":"drwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ touch /Volumes/screenpipe/test.txt\ntouch: /Volumes/screenpipe/test.txt: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ umount /Volumes/screenpipe\numount: unmount(/Volumes/screenpipe): Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ touch /Volumes/screenpipe/test.txt\ntouch: /Volumes/screenpipe/test.txt: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite\ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@100.73.206.126:/volume1/screenpipe/db.sqlite\nscp: dest open \"/volume1/screenpipe/db.sqlite\": No such file or directory\nscp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@100.73.206.126:/volume1/screenpipe/\nscp: dest open \"/volume1/screenpipe/\": No such file or directory\nscp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 32\ndrwxr-xr-x 4 root wheel 128 11 Apr 16:35 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $clear\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: touch:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: bad pattern: unmount(/Volumes/screenpipe):\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: touch:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: cp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: scp:\nzsh: command not found: scp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: scp:\nzsh: command not found: scp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: total\nzsh: command not found: drwxr-xr-x\nzsh: command not found: drwxr-xr-x\nzsh: file exists: /\nzsh: command not found: drwx------\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@100.73.206.126:/volume1/screenpipe/db.sqlite\nscp: dest open \"/volume1/screenpipe/db.sqlite\": No such file or directory\nscp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls \nMacintosh HD\u0000\u0000\u0000\tscreenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 32\ndrwxr-xr-x 4 root wheel 128 11 Apr 16:35 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite\ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/db.sqlite\ncp: /Volumes/Test/screenpipe/db.sqlite: No such file or directory\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/ \ncp: directory /Volumes/Test/screenpipe does not exist\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite \ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/ \ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 96\ndrwxr-xr-x 6 root wheel 192 11 Apr 16:45 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\ndrwx------ 1 lukas staff 16384 10 Aug 2025 Apps\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 15:46 Test\ndrwx------ 1 lukas staff 16384 11 Apr 16:47 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/pipes/ /Volumes/Test/screenpipe/pipes/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/data/data/ /Volumes/Test/screenpipe/data/ \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sed 's|$HOME/.screenpipe/db.sqlite|/volume1/Test/screenpipe/db.sqlite|g' ~/screenpipe-day.sh > /volume1/Test/screenpipe/screenpipe-day.sh\nzsh: no such file or directory: /volume1/Test/screenpipe/screenpipe-day.sh\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cat ~/screenpipe-day.sh \n#!/bin/zsh\nDB=\"$HOME/.screenpipe/db.sqlite\"\nDATE=${1:-$(date -v-1d '+%Y-%m-%d')}\n\necho \"═══════════════════════════════════════\"\necho \" SCREENPIPE REPORT — $DATE\"\necho \"═══════════════════════════════════════\"\n\necho \"\\n📱\u0000 APP USAGE (frames + estimated time)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-30s %5d frames ~%5.1f min', app_name, COUNT(*), ROUND(COUNT(*) * 4.5 / 60.0, 1))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY app_name ORDER BY COUNT(*) DESC;\"\n\necho \"\\n⌨️\u0000 ACTIVITY TYPE PER APP (clicks / keys / switches)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-25s clicks:%-5d keys:%-5d switches:%-4d', \n app_name,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END),\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END),\n SUM(CASE WHEN event_type='app_switch' THEN 1 ELSE 0 END))\nFROM ui_events\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY app_name ORDER BY COUNT(*) DESC;\"\n\necho \"\\n🌐\u0000 BROWSER URLS VISITED\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%4d frames %s', COUNT(*), browser_url)\nFROM frames\nWHERE date(timestamp) = '$DATE' AND browser_url IS NOT NULL\nGROUP BY browser_url ORDER BY COUNT(*) DESC LIMIT 20;\"\n\necho \"\\n🪟\u0000 WINDOW TITLES (top 20)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-20s %3d %s', app_name, COUNT(*), SUBSTR(window_name,1,60))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND window_name IS NOT NULL AND app_name IS NOT NULL\nGROUP BY app_name, window_name ORDER BY COUNT(*) DESC LIMIT 20;\"\n\necho \"\\n🕐\u0000 HOURLY TIMELINE\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%s %-20s %3d frames', strftime('%H:00', timestamp), app_name, COUNT(*))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY strftime('%H', timestamp), app_name\nORDER BY strftime('%H', timestamp), COUNT(*) DESC;\"\n\necho \"\\n📋\u0000 CLIPBOARD ACTIVITY\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-20s %s', app_name, SUBSTR(text_content, 1, 80))\nFROM ui_events\nWHERE date(timestamp) = '$DATE' AND event_type = 'clipboard' AND text_content IS NOT NULL\nORDER BY timestamp LIMIT 20;\"\n\necho \"\\n💬\u0000 OCR TEXT SAMPLES PER APP\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-15s %s', o.app_name, SUBSTR(o.text, 1, 80))\nFROM ocr_text o\nJOIN frames f ON o.frame_id = f.id\nWHERE date(f.timestamp) = '$DATE' AND o.app_name IS NOT NULL AND o.text != ''\nGROUP BY o.app_name\nORDER BY o.app_name LIMIT 15;\"\n\necho \"\\n🔢\u0000 TOTALS\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT \n 'Frames: ' || COUNT(*) FROM frames WHERE date(timestamp) = '$DATE';\n\"\nsqlite3 \"$DB\" \"\nSELECT 'UI Events: ' || COUNT(*) FROM ui_events WHERE date(timestamp) = '$DATE';\n\"\nsqlite3 \"$DB\" \"\nSELECT 'OCR texts: ' || COUNT(*) FROM ocr_text o JOIN frames f ON o.frame_id = f.id WHERE date(f.timestamp) = '$DATE';\n\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\ncurl: (7) Failed to connect to localhost port 3030 after 0 ms: Couldn't connect to server\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 11194 0 --:--:-- --:--:-- --:--:-- 11666\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl http://localhost:3030/health | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 943 100 943 0 0 574k 0 --:--:-- --:--:-- --:--:-- 920k\n{\n \"audio_db_write_stalled\": false,\n \"audio_status\": \"disabled\",\n \"device_status_details\": null,\n \"drm_content_paused\": false,\n \"frame_status\": \"ok\",\n \"hostname\": \"Lukas-Kovaliks-MacBook-Pro-Jiminny\",\n \"last_audio_timestamp\": null,\n \"last_frame_timestamp\": \"2026-04-11T18:42:01+03:00\",\n \"message\": \"all systems are functioning normally.\",\n \"monitors\": [\n \"Display 1 (1440x900)\",\n \"Display 2 (2560x1440)\"\n ],\n \"pipeline\": {\n \"avg_db_latency_ms\": 56.5,\n \"avg_ocr_latency_ms\": 0.0,\n \"capture_fps_actual\": 0.5718911974206078,\n \"frame_drop_rate\": 0.0,\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 134 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \n \"frames_captured\": 2,\n \"frames_db_written\": 2,\n \"frames_dropped\": 0,\n \"ocr_cache_hit_rate\": 0.0,\n \"ocr_queue_depth\": 0,\n \"pipeline_stall_count\": 0,\n \"time_to_first_frame_ms\": 1250.985,\n \"uptime_secs\": 3.497168708,\n \"video_queue_depth\": 0\n },\n \"pool_stats\": {\n \"read_pool_idle\": 3,\n \"read_pool_size\": 3,\n \"write_pool_idle\": 2,\n \"write_pool_size\": 2\n },\n \"schedule_paused\": false,\n \"status\": \"healthy\",\n \"status_code\": 200,\n \"verbose_instructions\": null,\n \"version\": \"0.3.278\",\n \"vision_db_write_stalled\": false\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -s http://localhost:3030/health | jq '{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}'\n{\n \"status\": \"healthy\",\n \"frame_status\": \"ok\",\n \"audio_status\": \"disabled\",\n \"last_frame\": \"2026-04-11T18:43:24+03:00\",\n \"uptime\": 85.845911708,\n \"fps\": 0.198029232397514,\n \"frames\": 17\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ echo \"alias sp-status='curl -s http://localhost:3030/health | jq \\\"{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}\\\"'\" >> ~/.zshrc\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status\nzsh: command not found: sp-status\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ source ~/.zprofile\n\nPoetry could not find a pyproject.toml file in /Volumes or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status \nzsh: command not found: sp-status\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ zp\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls\nApps\u0000\u0000\u0000\t\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tMacintosh HD\u0000\u0000\u0000\tTest\u0000\u0000\u0000\t\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tscreenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cd\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ll\ntotal 1272\ndrwx------+ 89 lukas staff 2848 11 Apr 18:38 .\ndrwxr-xr-x 5 root admin 160 23 Aug 2024 ..\n-r-------- 1 lukas staff 7 18 Nov 2021 .CFUserTextEncoding\n-rw-r--r--@ 1 lukas staff 22532 11 Apr 16:46 .DS_Store\ndrwx------+ 2 lukas staff 64 11 Apr 11:15 .Trash\ndrwx------ 5 lukas staff 160 1 Nov 2021 .aws\n-rw-r--r-- 1 lukas staff 341470 29 Sep 2022 .babel.json\n-rw-------@ 1 lukas staff 388 25 Jul 2025 .bash_history\n-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .bashrc\ndrwxr-xr-x 5 lukas staff 160 11 Mar 2023 .bito\ndrwx------@ 6 lukas staff 192 9 Apr 19:53 .cache\ndrwxr-xr-x 20 lukas staff 640 9 Apr 21:21 .claude\n-rw------- 1 lukas staff 24973 9 Apr 21:24 .claude.json\ndrwxr-xr-x@ 20 lukas staff 640 12 Mar 09:12 .codeium\ndrwxrwxrwx@ 3 lukas staff 96 2 Mar 2023 .composer\ndrwx------ 16 lukas staff 512 21 May 2025 .config\ndrwxr-xr-x 15 lukas staff 480 23 Dec 2024 .continue\ndrwx------@ 3 lukas staff 96 16 Feb 19:13 .copilot\ndrwxr-xr-x@ 5 lukas staff 160 9 Apr 2025 .cursor\ndrwxr-xr-x@ 5 lukas staff 160 17 Aug 2024 .cursor-tutor\ndrwxr-xr-x 3 lukas staff 96 8 Sep 2024 .daytona\ndrwxr-xr-x@ 4 lukas staff 128 18 Feb 10:52 .devdb\ndrwx------ 24 lukas staff 768 9 Apr 18:24 .docker\ndrwx------ 15 lukas staff 480 6 Jun 2023 .dropbox\ndrwxr-xr-x@ 3 lukas staff 96 20 Nov 2022 .fig.dotfiles.bak\n-rw-r--r-- 1 lukas staff 138 5 Mar 2022 .gauth\n-rw-r--r-- 1 lukas staff 220 25 Nov 2021 .gitconfig\n-rw-r--r-- 1 lukas staff 12288 25 Nov 2021 .gitconfig.swp\ndrwx------ 5 lukas staff 160 18 Nov 2021 .hammerspoon\ndrwxr-xr-x 3 lukas staff 96 21 Mar 2025 .idlerc\n-rw------- 1 lukas staff 20 31 Mar 18:32 .lesshst\ndrwx------ 5 lukas staff 160 23 Dec 2024 .local\n-rw------- 1 lukas staff 204 16 Mar 2024 .netrc\ndrwx------ 3 lukas staff 96 1 Nov 2021 .node-gyp\n-rw------- 1 lukas staff 4 6 Feb 2024 .node_repl_history\n-rw-r--r-- 1 lukas staff 17 24 Dec 2023 .notion-enhancer\ndrwxr-xr-x 4 lukas staff 128 12 Jul 2024 .notion-py\ndrwx------ 9 lukas staff 288 11 Apr 18:41 .npm\n-rw------- 1 lukas staff 74 20 May 2024 .npmrc\ndrwx------ 32 lukas staff 1024 25 Jul 2025 .nvm\ndrwxr-xr-x 4 lukas staff 128 5 Aug 2023 .postman\n-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .profile\n-rw-------@ 1 lukas staff 3153 21 Mar 2025 .python_history\ndrwx------ 2 lukas staff 64 15 Nov 2021 .quicktype-vscode\ndrwxr-xr-x@ 8 lukas staff 256 16 Feb 08:48 .redis-insight\ndrwxr-xr-x 10 lukas staff 320 11 Apr 14:52 .screenpipe\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 11 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \ndrwxr-xr-x 4 lukas staff 128 4 Feb 09:35 .sonarlint\ndrwx------ 15 lukas staff 480 8 Aug 2025 .ssh\ndrwxr-xr-x@ 3 lukas staff 96 15 Aug 2025 .streamlit\ndrwx------ 6 lukas staff 192 17 Oct 2022 .swiftpm\n-rw------- 1 lukas staff 12183 8 Apr 19:14 .viminfo\ndrwx------ 5 lukas staff 160 19 Jun 2023 .vscode\ndrwxr-xr-x@ 3 lukas staff 96 20 Jan 2025 .warp\ndrwxr-xr-x 4 lukas staff 128 29 Apr 2023 .wdm\ndrwxr-xr-x@ 5 lukas staff 160 26 Jan 13:03 .windsurf\ndrwxr-xr-x 4 lukas staff 128 24 Mar 12:03 .yarn\n-rw-r--r-- 1 lukas staff 116 30 Mar 10:12 .yarnrc\n-rw-r--r--@ 1 lukas staff 49518 6 Apr 14:31 .zcompdump\n-rw-r--r--@ 1 lukas staff 46758 2 Nov 20:34 .zcompdump.Lukas-Kovaliks-MacBook-Pro-Jiminny.23381\n-rw-r--r--@ 1 lukas staff 5641 9 Apr 20:30 .zprofile\n-rw-r--r-- 1 lukas staff 1468 8 Apr 2022 .zprofile-copy\n-rw-r--r--@ 1 lukas staff 2900 15 Mar 2023 .zprofile.pysave\n-rw------- 1 lukas staff 1731 29 Jun 2022 .zprofile.save\n-rw-r--r-- 1 lukas staff 1569 8 Apr 2022 .zprofilees\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 13 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \n-rw------- 1 lukas staff 28812 11 Apr 18:38 .zsh_history\ndrwx------ 9 lukas staff 288 6 May 2025 .zsh_sessions\n-rw-r--r--@ 1 lukas staff 597 11 Apr 18:44 .zshrc\ndrwx------@ 9 lukas staff 288 9 Apr 20:08 Applications\ndrwxr-xr-x@ 2 lukas staff 64 22 Oct 09:35 CascadeProjects\ndrwxr-xr-x 4 lukas staff 128 27 Oct 09:24 DEV\ndrwx------@ 10 lukas staff 320 11 Apr 18:31 Desktop\ndrwx------@ 7 lukas staff 224 26 Mar 14:40 Documents\ndrwx------@ 41 lukas staff 1312 8 Apr 20:46 Downloads\ndrwxr-xr-x@ 4 lukas staff 128 17 Mar 20:27 Keychron_Screen\ndrwx------@ 112 lukas staff 3584 2 Dec 09:19 Library\ndrwx------ 7 lukas staff 224 12 Feb 2024 Movies\ndrwx------+ 5 lukas staff 160 25 Sep 2023 Music\ndrwx------+ 9 lukas staff 288 25 Sep 2023 Pictures\ndrwx------ 3 lukas staff 96 8 Nov 2021 Postman\ndrwx------+ 4 lukas staff 128 28 Oct 2021 Public\n-rw-r--r--@ 1 lukas staff 3950 15 Dec 09:16 Untitled 4.spf\ndrwx------ 4 lukas staff 128 2 Jul 2023 Users\ndrwx------ 3 lukas staff 96 30 Sep 2022 iCloud Drive (Archive)\ndrwx------ 16 lukas staff 512 3 Nov 11:35 jiminny\ndrwxr-xr-x 3 lukas staff 96 20 Mar 18:47 node_modules\ndrwxr-xr-x 4 lukas staff 128 21 Oct 18:15 raycast\n-rw-r--r-- 1 lukas staff 0 1 Mar 14:26 response.bin\n-rwxr-xr-x 1 lukas staff 3824 11 Apr 15:16 screenpipe-day.sh\n-rw-r--r-- 1 lukas staff 86 20 Mar 18:47 yarn.lock\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano .zshrc \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ echo \"alias sp-status='curl -s http://localhost:3030/health | jq \\\"{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}\\\"'\" >> ~/.zprofile\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ source ~/.zprofile\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-status \n{\n \"status\": \"healthy\",\n \"frame_status\": \"ok\",\n \"audio_status\": \"disabled\",\n \"last_frame\": \"2026-04-11T18:47:17+03:00\",\n \"uptime\": 345.971219541,\n \"fps\": 0.0982740704417778,\n \"frames\": 34\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop\nscreenpipe stopped\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start \n[1] 41216\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-11T18:54:13.170097Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T18:54:13.812964Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T18:54:13.819889Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T18:54:13.819889Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T18:54:13.820291Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T18:54:13.820220Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T18:54:13.820450Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T18:54:13.820896Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T18:54:13.820856Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T18:54:13.821123Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T18:54:13.821801Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T18:54:13.821972Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T18:54:13.822128Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T18:54:13.822942Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T18:54:13.822962Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T18:54:13.824479Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T18:54:13.824829Z INFO screenpipe: starting UI event capture\n2026-04-11T18:54:13.828568Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T18:54:13.829646Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T18:54:13.838998Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T18:54:13.852999Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T18:54:13.853108Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 15:54:13.853107 UTC to 2026-04-11 15:54:13.853107 UTC)\n2026-04-11T18:54:13.853121Z INFO screenpipe_engine::ui_recorder: UI recording session started: 13f9ef4b-a7db-47ce-844f-778b4b926db5\n2026-04-11T18:54:13.854048Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T18:54:13.859344Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T18:54:13.864448Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T18:54:14.006638Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 878 frame entries, coverage from 2026-04-10 15:54:13.853107 UTC\n2026-04-11T18:54:14.161101Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T18:54:14.161134Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T18:54:14.161145Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T18:54:14.161153Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T18:54:14.161204Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T18:54:14.958802Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T18:54:15.096012Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1402, dur=52ms\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T18:54:18.859011Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T18:54:18.859467Z INFO screenpipe: local retention auto-enabled (14 days)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop\nscreenpipe stopped\n[1] + terminated npx screenpipe@latest record --disable-audio \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT DISTINCT window_name\nFROM frames\nWHERE app_name IN ('Safari', 'Firefox', 'Arc', 'Chrome')\nAND window_name IS NOT NULL\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 13 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \nORDER BY window_name;\"\nDXP4800PLUS-B5F8\nDXP4800PLUS-B5F8 — Personal\nDenník N - Nezávislý denník — Personal\nEdit profile — Personal\nLocation Logger\nLoď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal\nMaďarské voľby – Denník N — Personal\nPersonal — Mozilla Firefox\nPicture-in-Picture\nProblem loading page — Personal\nScreenpipe Dashboard — Personal\nSettings — Personal\nSign in – Google accounts — Personal\nTailscale — Personal\nUGREEN NAS — Personal\nVimium Options — Personal\nVimium – Get this Extension for 🦊\u0000 Firefox (en-US) — Personal\nfirefox sidebar - Google Search — Personal\ntilscale admin panel - Google Search — Personal\nOrder Room Service • HBO Max\nShameless • HBO Max\nShameless • HBO Max — Personal\nSimple Pleasures • HBO Max — Personal\nČasť 2 • HBO Max — Personal\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/config.json \n{\n \"disable_audio\": true,\n \"monitor_ids\": [\"Display 1_1440x900_0,0\", \"Display 2_3008x1253_-813,-1253\"],\n \"ignored_windows\": [\n \"1Password\",\n \"Keychain Access\",\n \"Bitwarden\",\n \"System Preferences\",\n \"System Settings\",\n \"zoom.us\",\n \"HBO Max\",\n ]\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe && sleep 2 && npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record \ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-11T19:00:06.546722Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T19:00:07.267955Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T19:00:07.269566Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T19:00:07.269564Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T19:00:07.269921Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T19:00:07.470439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T19:00:07.470481Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T19:00:07.470420Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T19:00:07.470877Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T19:00:07.471071Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T19:00:07.471748Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T19:00:07.471948Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T19:00:07.472085Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T19:00:07.472295Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T19:00:07.472315Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T19:00:07.473167Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T19:00:07.473787Z INFO screenpipe: starting UI event capture\n2026-04-11T19:00:07.476515Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T19:00:07.485630Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T19:00:07.489867Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T19:00:07.503670Z INFO screenpipe_engine::ui_recorder: UI recording session started: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2\n2026-04-11T19:00:07.503881Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T19:00:07.503967Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 16:00:07.503966 UTC to 2026-04-11 16:00:07.503966 UTC)\n2026-04-11T19:00:07.504283Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T19:00:07.509408Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T19:00:07.514386Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T19:00:07.659978Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 879 frame entries, coverage from 2026-04-10 16:00:07.503966 UTC\n2026-04-11T19:00:07.820721Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T19:00:07.820747Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T19:00:07.820758Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T19:00:07.820766Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T19:00:07.820805Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T19:00:08.565404Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T19:00:08.709384Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1403, dur=60ms\n2026-04-11T19:00:12.507772Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T19:00:12.508217Z INFO screenpipe: local retention auto-enabled (14 days)\n^C2026-04-11T19:00:14.475068Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-11T19:00:14.476266Z INFO screenpipe: stopping UI event capture\n2026-04-11T19:00:14.476480Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-11T19:00:14.476552Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-11T19:00:14.476564Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-11T19:00:14.476595Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-11T19:00:14.477268Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n\n2026-04-11T19:00:14.481053Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s) \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T19:00:14.624523Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2\n2026-04-11T19:00:14.624669Z INFO screenpipe: shutdown complete\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-11T19:00:31.694964Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T19:00:32.442217Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T19:00:32.443687Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T19:00:32.443694Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T19:00:32.444120Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T19:00:32.662907Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T19:00:32.662887Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T19:00:32.662980Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T19:00:32.663355Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T19:00:32.663550Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T19:00:32.664216Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T19:00:32.664395Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T19:00:32.664552Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T19:00:32.665488Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T19:00:32.665515Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T19:00:32.667186Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T19:00:32.667286Z INFO screenpipe: starting UI event capture\n2026-04-11T19:00:32.670076Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T19:00:32.672989Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T19:00:32.681327Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T19:00:32.695244Z INFO screenpipe_engine::ui_recorder: UI recording session started: 47668625-ff04-42f8-aa0d-f468ff11f0ff\n2026-04-11T19:00:32.695238Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T19:00:32.695298Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 16:00:32.695296 UTC to 2026-04-11 16:00:32.695296 UTC)\n2026-04-11T19:00:32.695769Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T19:00:32.701263Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T19:00:32.705041Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T19:00:32.852998Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 880 frame entries, coverage from 2026-04-10 16:00:32.695296 UTC\n2026-04-11T19:00:32.998691Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T19:00:32.998717Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T19:00:32.998728Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T19:00:32.998739Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T19:00:32.998790Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T19:00:33.736410Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T19:00:34.302357Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1404, dur=507ms\n2026-04-11T19:00:37.699366Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T19:00:37.699830Z INFO screenpipe: local retention auto-enabled (14 days)\n^C2026-04-11T19:00:42.463354Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-11T19:00:42.463443Z INFO screenpipe: stopping UI event capture\n2026-04-11T19:00:42.463473Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-11T19:00:42.463494Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-11T19:00:42.463501Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-11T19:00:42.463509Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-11T19:00:42.463516Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n\n2026-04-11T19:00:42.466209Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s) \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T19:00:42.589528Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 47668625-ff04-42f8-aa0d-f468ff11f0ff\n2026-04-11T19:00:42.589635Z INFO screenpipe: shutdown complete\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start\n[1] 42748\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-11T20:26:04.829554Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T20:26:05.341444Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T20:26:05.345218Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T20:26:05.345229Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T20:26:05.345415Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T20:26:05.345428Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T20:26:05.345477Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T20:26:05.345864Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T20:26:05.346065Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T20:26:05.346166Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T20:26:05.346730Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T20:26:05.346883Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T20:26:05.346990Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T20:26:05.347093Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T20:26:05.347108Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T20:26:05.348501Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T20:26:05.348754Z INFO screenpipe: starting UI event capture\n2026-04-11T20:26:05.353656Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T20:26:05.358540Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T20:26:05.363864Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T20:26:05.378325Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T20:26:05.378392Z INFO screenpipe_engine::ui_recorder: UI recording session started: 5b17c7fe-3811-4788-a81b-6b04773808f1\n2026-04-11T20:26:05.378564Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 17:26:05.378561 UTC to 2026-04-11 17:26:05.378561 UTC)\n2026-04-11T20:26:05.379467Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T20:26:05.384798Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T20:26:05.389960Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T20:26:05.528107Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 883 frame entries, coverage from 2026-04-10 17:26:05.378561 UTC\n2026-04-11T20:26:05.683177Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T20:26:05.683293Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T20:26:05.683303Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T20:26:05.683311Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T20:26:05.683359Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T20:26:06.488545Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T20:26:07.067446Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1407, dur=537ms\n2026-04-11T20:26:08.752985Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-9215443531147982391, trigger=visual_change)\n2026-04-11T20:26:10.383131Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T20:26:10.383762Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-11T20:26:38.337011Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-9215443531147982391, trigger=click)\n2026-04-11T20:26:55.992688Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5606118560581161138, trigger=click)\n2026-04-11T20:26:57.331771Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5606118560581161138, trigger=click)\n2026-04-11T20:27:05.408691Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 61 eligible frames\n2026-04-11T20:27:09.664908Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 61 frames, 9.4MB → 3.3MB (2.8x), 61 JPEGs deleted\n2026-04-11T20:31:05.374969Z INFO screenpipe_engine::server: api_usage_5min: 1 requests\n2026-04-11T20:31:40.380610Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-28T17:31:40.380594+00:00 (14d retention)\n2026-04-11T20:32:09.668412Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 1 eligible frames","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.12291667,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.12708333,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.24583334,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.25,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.36875,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.37291667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.49166667,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49583334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.6145833,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.61875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7375,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.7416667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.86041665,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8645833,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
|
-606838350785878345
|
4136016804742626400
|
visual_change
|
accessibility
|
NULL
|
drwx------ 1 lukas staff 16384 11 Apr 16:34 sc drwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ touch /Volumes/screenpipe/test.txt
touch: /Volumes/screenpipe/test.txt: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ umount /Volumes/screenpipe
umount: unmount(/Volumes/screenpipe): Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ touch /Volumes/screenpipe/test.txt
touch: /Volumes/screenpipe/test.txt: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@[IP_ADDRESS]:/volume1/screenpipe/db.sqlite
scp: dest open "/volume1/screenpipe/db.sqlite": No such file or directory
scp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@[IP_ADDRESS]:/volume1/screenpipe/
scp: dest open "/volume1/screenpipe/": No such file or directory
scp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 32
drwxr-xr-x 4 root wheel 128 11 Apr 16:35 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $clear
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: touch:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: bad pattern: unmount(/Volumes/screenpipe):
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: touch:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: cp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: scp:
zsh: command not found: scp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: scp:
zsh: command not found: scp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: total
zsh: command not found: drwxr-xr-x
zsh: command not found: drwxr-xr-x
zsh: file exists: /
zsh: command not found: drwx------
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@[IP_ADDRESS]:/volume1/screenpipe/db.sqlite
scp: dest open "/volume1/screenpipe/db.sqlite": No such file or directory
scp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls
Macintosh HD screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 32
drwxr-xr-x 4 root wheel 128 11 Apr 16:35 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/db.sqlite
cp: /Volumes/Test/screenpipe/db.sqlite: No such file or directory
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/
cp: directory /Volumes/Test/screenpipe does not exist
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 96
drwxr-xr-x 6 root wheel 192 11 Apr 16:45 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
drwx------ 1 lukas staff 16384 10 Aug 2025 Apps
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 15:46 Test
drwx------ 1 lukas staff 16384 11 Apr 16:47 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/pipes/ /Volumes/Test/screenpipe/pipes/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/data/data/ /Volumes/Test/screenpipe/data/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sed 's|$HOME/.screenpipe/db.sqlite|/volume1/Test/screenpipe/db.sqlite|g' ~/screenpipe-day.sh > /volume1/Test/screenpipe/screenpipe-day.sh
zsh: no such file or directory: /volume1/Test/screenpipe/screenpipe-day.sh
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cat ~/screenpipe-day.sh
#!/bin/zsh
DB="$HOME/.screenpipe/db.sqlite"
DATE=${1:-$(date -v-1d '+%Y-%m-%d')}
echo "═══════════════════════════════════════"
echo " SCREENPIPE REPORT — $DATE"
echo "═══════════════════════════════════════"
echo "\n📱 APP USAGE (frames + estimated time)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-30s %5d frames ~%5.1f min', app_name, COUNT(*), ROUND(COUNT(*) * 4.5 / 60.0, 1))
FROM frames
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY app_name ORDER BY COUNT(*) DESC;"
echo "\n⌨️ ACTIVITY TYPE PER APP (clicks / keys / switches)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-25s clicks:%-5d keys:%-5d switches:%-4d',
app_name,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END),
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END),
SUM(CASE WHEN event_type='app_switch' THEN 1 ELSE 0 END))
FROM ui_events
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY app_name ORDER BY COUNT(*) DESC;"
echo "\n🌐 BROWSER URLS VISITED"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%4d frames %s', COUNT(*), browser_url)
FROM frames
WHERE date(timestamp) = '$DATE' AND browser_url IS NOT NULL
GROUP BY browser_url ORDER BY COUNT(*) DESC LIMIT 20;"
echo "\n🪟 WINDOW TITLES (top 20)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-20s %3d %s', app_name, COUNT(*), SUBSTR(window_name,1,60))
FROM frames
WHERE date(timestamp) = '$DATE' AND window_name IS NOT NULL AND app_name IS NOT NULL
GROUP BY app_name, window_name ORDER BY COUNT(*) DESC LIMIT 20;"
echo "\n🕐 HOURLY TIMELINE"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%s %-20s %3d frames', strftime('%H:00', timestamp), app_name, COUNT(*))
FROM frames
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY strftime('%H', timestamp), app_name
ORDER BY strftime('%H', timestamp), COUNT(*) DESC;"
echo "\n📋 CLIPBOARD ACTIVITY"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-20s %s', app_name, SUBSTR(text_content, 1, 80))
FROM ui_events
WHERE date(timestamp) = '$DATE' AND event_type = 'clipboard' AND text_content IS NOT NULL
ORDER BY timestamp LIMIT 20;"
echo "\n💬 OCR TEXT SAMPLES PER APP"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-15s %s', o.app_name, SUBSTR(o.text, 1, 80))
FROM ocr_text o
JOIN frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$DATE' AND o.app_name IS NOT NULL AND o.text != ''
GROUP BY o.app_name
ORDER BY o.app_name LIMIT 15;"
echo "\n🔢 TOTALS"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT
'Frames: ' || COUNT(*) FROM frames WHERE date(timestamp) = '$DATE';
"
sqlite3 "$DB" "
SELECT 'UI Events: ' || COUNT(*) FROM ui_events WHERE date(timestamp) = '$DATE';
"
sqlite3 "$DB" "
SELECT 'OCR texts: ' || COUNT(*) FROM ocr_text o JOIN frames f ON o.frame_id = f.id WHERE date(f.timestamp) = '$DATE';
"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST [URL_WITH_CREDENTIALS] /Volumes $ curl -X POST [URL_WITH_CREDENTIALS] /Volumes $ curl [URL_WITH_CREDENTIALS] /Volumes $ curl -s [URL_WITH_CREDENTIALS] /Volumes $ echo "alias sp-status='curl -s [URL_WITH_CREDENTIALS] /Volumes $ sp-status
zsh: command not found: sp-status
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ source ~/.zprofile
Poetry could not find a pyproject.toml file in /Volumes or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status
zsh: command not found: sp-status
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ zp
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls
Apps Macintosh HD Test screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cd
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ll
total 1272
drwx------+ 89 lukas staff 2848 11 Apr 18:38 .
drwxr-xr-x 5 root admin 160 23 Aug 2024 ..
-r-------- 1 lukas staff 7 18 Nov 2021 .CFUserTextEncoding
-rw-r--r--@ 1 lukas staff 22532 11 Apr 16:46 .DS_Store
drwx------+ 2 lukas staff 64 11 Apr 11:15 .Trash
drwx------ 5 lukas staff 160 1 Nov 2021 .aws
-rw-r--r-- 1 lukas staff 341470 29 Sep 2022 .babel.json
-rw-------@ 1 lukas staff 388 25 Jul 2025 .bash_history
-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .bashrc
drwxr-xr-x 5 lukas staff 160 11 Mar 2023 .bito
drwx------@ 6 lukas staff 192 9 Apr 19:53 .cache
drwxr-xr-x 20 lukas staff 640 9 Apr 21:21 .claude
-rw------- 1 lukas staff 24973 9 Apr 21:24 .claude.json
drwxr-xr-x@ 20 lukas staff 640 12 Mar 09:12 .codeium
drwxrwxrwx@ 3 lukas staff 96 2 Mar 2023 .composer
drwx------ 16 lukas staff 512 21 May 2025 .config
drwxr-xr-x 15 lukas staff 480 23 Dec 2024 .continue
drwx------@ 3 lukas staff 96 16 Feb 19:13 .copilot
drwxr-xr-x@ 5 lukas staff 160 9 Apr 2025 .cursor
drwxr-xr-x@ 5 lukas staff 160 17 Aug 2024 .cursor-tutor
drwxr-xr-x 3 lukas staff 96 8 Sep 2024 .daytona
drwxr-xr-x@ 4 lukas staff 128 18 Feb 10:52 .devdb
drwx------ 24 lukas staff 768 9 Apr 18:24 .docker
drwx------ 15 lukas staff 480 6 Jun 2023 .dropbox
drwxr-xr-x@ 3 lukas staff 96 20 Nov 2022 .fig.dotfiles.bak
-rw-r--r-- 1 lukas staff 138 5 Mar 2022 .gauth
-rw-r--r-- 1 lukas staff 220 25 Nov 2021 .gitconfig
-rw-r--r-- 1 lukas staff 12288 25 Nov 2021 .gitconfig.swp
drwx------ 5 lukas staff 160 18 Nov 2021 .hammerspoon
drwxr-xr-x 3 lukas staff 96 21 Mar 2025 .idlerc
-rw------- 1 lukas staff 20 31 Mar 18:32 .lesshst
drwx------ 5 lukas staff 160 23 Dec 2024 .local
-rw------- 1 lukas staff 204 16 Mar 2024 .netrc
drwx------ 3 lukas staff 96 1 Nov 2021 .node-gyp
-rw------- 1 lukas staff 4 6 Feb 2024 .node_repl_history
-rw-r--r-- 1 lukas staff 17 24 Dec 2023 .notion-enhancer
drwxr-xr-x 4 lukas staff 128 12 Jul 2024 .notion-py
drwx------ 9 lukas staff 288 11 Apr 18:41 .npm
-rw------- 1 lukas staff 74 20 May 2024 .npmrc
drwx------ 32 lukas staff 1024 25 Jul 2025 .nvm
drwxr-xr-x 4 lukas staff 128 5 Aug 2023 .postman
-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .profile
-rw-------@ 1 lukas staff 3153 21 Mar 2025 .python_history
drwx------ 2 lukas staff 64 15 Nov 2021 .quicktype-vscode
drwxr-xr-x@ 8 lukas staff 256 16 Feb 08:48 .redis-insight
drwxr-xr-x 10 lukas staff 320 11 Apr 14:52 .screenpipe
UW PICO 5.09 New Buffer
[ Read 11 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
drwxr-xr-x 4 lukas staff 128 4 Feb 09:35 .sonarlint
drwx------ 15 lukas staff 480 8 Aug 2025 .ssh
drwxr-xr-x@ 3 lukas staff 96 15 Aug 2025 .streamlit
drwx------ 6 lukas staff 192 17 Oct 2022 .swiftpm
-rw------- 1 lukas staff 12183 8 Apr 19:14 .viminfo
drwx------ 5 lukas staff 160 19 Jun 2023 .vscode
drwxr-xr-x@ 3 lukas staff 96 20 Jan 2025 .warp
drwxr-xr-x 4 lukas staff 128 29 Apr 2023 .wdm
drwxr-xr-x@ 5 lukas staff 160 26 Jan 13:03 .windsurf
drwxr-xr-x 4 lukas staff 128 24 Mar 12:03 .yarn
-rw-r--r-- 1 lukas staff 116 30 Mar 10:12 .yarnrc
-rw-r--r--@ 1 lukas staff 49518 6 Apr 14:31 .zcompdump
-rw-r--r--@ 1 lukas staff 46758 2 Nov 20:34 .zcompdump.Lukas-Kovaliks-MacBook-Pro-Jiminny.23381
-rw-r--r--@ 1 lukas staff 5641 9 Apr 20:30 .zprofile
-rw-r--r-- 1 lukas staff 1468 8 Apr 2022 .zprofile-copy
-rw-r--r--@ 1 lukas staff 2900 15 Mar 2023 .zprofile.pysave
-rw------- 1 lukas staff 1731 29 Jun 2022 .zprofile.save
-rw-r--r-- 1 lukas staff 1569 8 Apr 2022 .zprofilees
UW PICO 5.09 New Buffer
[ Read 13 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
-rw------- 1 lukas staff 28812 11 Apr 18:38 .zsh_history
drwx------ 9 lukas staff 288 6 May 2025 .zsh_sessions
-rw-r--r--@ 1 lukas staff 597 11 Apr 18:44 .zshrc
drwx------@ 9 lukas staff 288 9 Apr 20:08 Applications
drwxr-xr-x@ 2 lukas staff 64 22 Oct 09:35 CascadeProjects
drwxr-xr-x 4 lukas staff 128 27 Oct 09:24 DEV
drwx------@ 10 lukas staff 320 11 Apr 18:31 Desktop
drwx------@ 7 lukas staff 224 26 Mar 14:40 Documents
drwx------@ 41 lukas staff 1312 8 Apr 20:46 Downloads
drwxr-xr-x@ 4 lukas staff 128 17 Mar 20:27 Keychron_Screen
drwx------@ 112 lukas staff 3584 2 Dec 09:19 Library
drwx------ 7 lukas staff 224 12 Feb 2024 Movies
drwx------+ 5 lukas staff 160 25 Sep 2023 Music
drwx------+ 9 lukas staff 288 25 Sep 2023 Pictures
drwx------ 3 lukas staff 96 8 Nov 2021 Postman
drwx------+ 4 lukas staff 128 28 Oct 2021 Public
-rw-r--r--@ 1 lukas staff 3950 15 Dec 09:16 Untitled 4.spf
drwx------ 4 lukas staff 128 2 Jul 2023 Users
drwx------ 3 lukas staff 96 30 Sep 2022 iCloud Drive (Archive)
drwx------ 16 lukas staff 512 3 Nov 11:35 jiminny
drwxr-xr-x 3 lukas staff 96 20 Mar 18:47 node_modules
drwxr-xr-x 4 lukas staff 128 21 Oct 18:15 raycast
-rw-r--r-- 1 lukas staff 0 1 Mar 14:26 response.bin
-rwxr-xr-x 1 lukas staff 3824 11 Apr 15:16 screenpipe-day.sh
-rw-r--r-- 1 lukas staff 86 20 Mar 18:47 yarn.lock
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano .zshrc
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ echo "alias sp-status='curl -s [URL_WITH_CREDENTIALS] ~ $ source ~/.zprofile
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-status
{
"status": "healthy",
"frame_status": "ok",
"audio_status": "disabled",
"last_frame": "2026-04-11T18:47:17+03:00",
"uptime": 345.971219541,
"fps": 0.[CREDIT_CARD],
"frames": 34
}
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop
screenpipe stopped
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start
[1] 41216
detected hardware tier: Mid
checking permissions...
screen recording: ok
accessibility: ok
2026-04-11T18:54:13.170097Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T18:54:13.812964Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T18:54:13.819889Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T18:54:13.819889Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T18:54:13.820291Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T18:54:13.820220Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T18:54:13.820450Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T18:54:13.820896Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T18:54:13.820856Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T18:54:13.821123Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T18:54:13.821801Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T18:54:13.821972Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T18:54:13.822128Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T18:54:13.822942Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T18:54:13.822962Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ true │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ disabled │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T18:54:18.859011Z INFO screenpipe_engine::retention: retention: initialized with 14d retention
2026-04-11T18:54:18.859467Z INFO screenpipe: local retention auto-enabled (14 days)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop
screenpipe stopped
[1] + terminated npx screenpipe@latest record --disable-audio
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT DISTINCT window_name
FROM frames
WHERE app_name IN ('Safari', 'Firefox', 'Arc', 'Chrome')
AND window_name IS NOT NULL
UW PICO 5.09 New Buffer
[ Read 13 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
ORDER BY window_name;"
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8 — Personal
Denník N - Nezávislý denník — Personal
Edit profile — Personal
Location Logger
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal
Maďarské voľby – Denník N — Personal
Personal — Mozilla Firefox
Picture-in-Picture
Problem loading page — Personal
Screenpipe Dashboard — Personal
Settings — Personal
Sign in – Google accounts — Personal
Tailscale — Personal
UGREEN NAS — Personal
Vimium Options — Personal
Vimium – Get this Extension for 🦊 Firefox (en-US) — Personal
firefox sidebar - Google Search — Personal
tilscale admin panel - Google Search — Personal
Order Room Service • HBO Max
Shameless • HBO Max
Shameless • HBO Max — Personal
Simple Pleasures • HBO Max — Personal
Časť 2 • HBO Max — Personal
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/config.json
{
"disable_audio": true,
"monitor_ids": ["Display 1_1440x900_0,0", "Display 2_3008x1253_-813,-1253"],
"ignored_windows": [
"1Password",
"Keychain Access",
"Bitwarden",
"System Preferences",
"System Settings",
"zoom.us",
"HBO Max",
]
}
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe && sleep 2 && npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-11T19:00:06.546722Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T19:00:07.267955Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T19:00:07.269566Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T19:00:07.269564Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T19:00:07.269921Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T19:00:07.470439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T19:00:07.470481Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T19:00:07.470420Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T19:00:07.470877Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T19:00:07.471071Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T19:00:07.471748Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T19:00:07.471948Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T19:00:07.472085Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T19:00:07.472295Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T19:00:07.472315Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T19:00:14.624523Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2
2026-04-11T19:00:14.624669Z INFO screenpipe: shutdown complete
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-11T19:00:31.694964Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T19:00:32.442217Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T19:00:32.443687Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T19:00:32.443694Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T19:00:32.444120Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T19:00:32.662907Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T19:00:32.662887Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T19:00:32.662980Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T19:00:32.663355Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T19:00:32.663550Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T19:00:32.664216Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T19:00:32.664395Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T19:00:32.664552Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T19:00:32.665488Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T19:00:32.665515Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T19:00:42.589528Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 47668625-ff04-42f8-aa0d-f4...
|
NULL
|
|
1483
|
33
|
5
|
2026-04-11T17:33:25.108292+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928805108_m1.jpg...
|
iTerm2
|
-zsh
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
scp: dest open "/volume1/screenpipe/db.sqlite& scp: dest open "/volume1/screenpipe/db.sqlite": No such file or directory
scp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@[IP_ADDRESS]:/volume1/screenpipe/
scp: dest open "/volume1/screenpipe/": No such file or directory
scp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 32
drwxr-xr-x 4 root wheel 128 11 Apr 16:35 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $clear
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: touch:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: bad pattern: unmount(/Volumes/screenpipe):
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: touch:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: cp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: scp:
zsh: command not found: scp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: scp:
zsh: command not found: scp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: total
zsh: command not found: drwxr-xr-x
zsh: command not found: drwxr-xr-x
zsh: file exists: /
zsh: command not found: drwx------
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@[IP_ADDRESS]:/volume1/screenpipe/db.sqlite
scp: dest open "/volume1/screenpipe/db.sqlite": No such file or directory
scp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls
Macintosh HD screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 32
drwxr-xr-x 4 root wheel 128 11 Apr 16:35 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/db.sqlite
cp: /Volumes/Test/screenpipe/db.sqlite: No such file or directory
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/
cp: directory /Volumes/Test/screenpipe does not exist
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 96
drwxr-xr-x 6 root wheel 192 11 Apr 16:45 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
drwx------ 1 lukas staff 16384 10 Aug 2025 Apps
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 15:46 Test
drwx------ 1 lukas staff 16384 11 Apr 16:47 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/pipes/ /Volumes/Test/screenpipe/pipes/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/data/data/ /Volumes/Test/screenpipe/data/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sed 's|$HOME/.screenpipe/db.sqlite|/volume1/Test/screenpipe/db.sqlite|g' ~/screenpipe-day.sh > /volume1/Test/screenpipe/screenpipe-day.sh
zsh: no such file or directory: /volume1/Test/screenpipe/screenpipe-day.sh
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cat ~/screenpipe-day.sh
#!/bin/zsh
DB="$HOME/.screenpipe/db.sqlite"
DATE=${1:-$(date -v-1d '+%Y-%m-%d')}
echo "═══════════════════════════════════════"
echo " SCREENPIPE REPORT — $DATE"
echo "═══════════════════════════════════════"
echo "\n📱 APP USAGE (frames + estimated time)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-30s %5d frames ~%5.1f min', app_name, COUNT(*), ROUND(COUNT(*) * 4.5 / 60.0, 1))
FROM frames
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY app_name ORDER BY COUNT(*) DESC;"
echo "\n⌨️ ACTIVITY TYPE PER APP (clicks / keys / switches)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-25s clicks:%-5d keys:%-5d switches:%-4d',
app_name,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END),
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END),
SUM(CASE WHEN event_type='app_switch' THEN 1 ELSE 0 END))
FROM ui_events
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY app_name ORDER BY COUNT(*) DESC;"
echo "\n🌐 BROWSER URLS VISITED"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%4d frames %s', COUNT(*), browser_url)
FROM frames
WHERE date(timestamp) = '$DATE' AND browser_url IS NOT NULL
GROUP BY browser_url ORDER BY COUNT(*) DESC LIMIT 20;"
echo "\n🪟 WINDOW TITLES (top 20)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-20s %3d %s', app_name, COUNT(*), SUBSTR(window_name,1,60))
FROM frames
WHERE date(timestamp) = '$DATE' AND window_name IS NOT NULL AND app_name IS NOT NULL
GROUP BY app_name, window_name ORDER BY COUNT(*) DESC LIMIT 20;"
echo "\n🕐 HOURLY TIMELINE"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%s %-20s %3d frames', strftime('%H:00', timestamp), app_name, COUNT(*))
FROM frames
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY strftime('%H', timestamp), app_name
ORDER BY strftime('%H', timestamp), COUNT(*) DESC;"
echo "\n📋 CLIPBOARD ACTIVITY"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-20s %s', app_name, SUBSTR(text_content, 1, 80))
FROM ui_events
WHERE date(timestamp) = '$DATE' AND event_type = 'clipboard' AND text_content IS NOT NULL
ORDER BY timestamp LIMIT 20;"
echo "\n💬 OCR TEXT SAMPLES PER APP"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-15s %s', o.app_name, SUBSTR(o.text, 1, 80))
FROM ocr_text o
JOIN frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$DATE' AND o.app_name IS NOT NULL AND o.text != ''
GROUP BY o.app_name
ORDER BY o.app_name LIMIT 15;"
echo "\n🔢 TOTALS"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT
'Frames: ' || COUNT(*) FROM frames WHERE date(timestamp) = '$DATE';
"
sqlite3 "$DB" "
SELECT 'UI Events: ' || COUNT(*) FROM ui_events WHERE date(timestamp) = '$DATE';
"
sqlite3 "$DB" "
SELECT 'OCR texts: ' || COUNT(*) FROM ocr_text o JOIN frames f ON o.frame_id = f.id WHERE date(f.timestamp) = '$DATE';
"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST [URL_WITH_CREDENTIALS] /Volumes $ curl -X POST [URL_WITH_CREDENTIALS] /Volumes $ curl [URL_WITH_CREDENTIALS] /Volumes $ curl -s [URL_WITH_CREDENTIALS] /Volumes $ echo "alias sp-status='curl -s [URL_WITH_CREDENTIALS] /Volumes $ sp-status
zsh: command not found: sp-status
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ source ~/.zprofile
Poetry could not find a pyproject.toml file in /Volumes or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status
zsh: command not found: sp-status
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ zp
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls
Apps Macintosh HD Test screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cd
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ll
total 1272
drwx------+ 89 lukas staff 2848 11 Apr 18:38 .
drwxr-xr-x 5 root admin 160 23 Aug 2024 ..
-r-------- 1 lukas staff 7 18 Nov 2021 .CFUserTextEncoding
-rw-r--r--@ 1 lukas staff 22532 11 Apr 16:46 .DS_Store
drwx------+ 2 lukas staff 64 11 Apr 11:15 .Trash
drwx------ 5 lukas staff 160 1 Nov 2021 .aws
-rw-r--r-- 1 lukas staff 341470 29 Sep 2022 .babel.json
-rw-------@ 1 lukas staff 388 25 Jul 2025 .bash_history
-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .bashrc
drwxr-xr-x 5 lukas staff 160 11 Mar 2023 .bito
drwx------@ 6 lukas staff 192 9 Apr 19:53 .cache
drwxr-xr-x 20 lukas staff 640 9 Apr 21:21 .claude
-rw------- 1 lukas staff 24973 9 Apr 21:24 .claude.json
drwxr-xr-x@ 20 lukas staff 640 12 Mar 09:12 .codeium
drwxrwxrwx@ 3 lukas staff 96 2 Mar 2023 .composer
drwx------ 16 lukas staff 512 21 May 2025 .config
drwxr-xr-x 15 lukas staff 480 23 Dec 2024 .continue
drwx------@ 3 lukas staff 96 16 Feb 19:13 .copilot
drwxr-xr-x@ 5 lukas staff 160 9 Apr 2025 .cursor
drwxr-xr-x@ 5 lukas staff 160 17 Aug 2024 .cursor-tutor
drwxr-xr-x 3 lukas staff 96 8 Sep 2024 .daytona
drwxr-xr-x@ 4 lukas staff 128 18 Feb 10:52 .devdb
drwx------ 24 lukas staff 768 9 Apr 18:24 .docker
drwx------ 15 lukas staff 480 6 Jun 2023 .dropbox
drwxr-xr-x@ 3 lukas staff 96 20 Nov 2022 .fig.dotfiles.bak
-rw-r--r-- 1 lukas staff 138 5 Mar 2022 .gauth
-rw-r--r-- 1 lukas staff 220 25 Nov 2021 .gitconfig
-rw-r--r-- 1 lukas staff 12288 25 Nov 2021 .gitconfig.swp
drwx------ 5 lukas staff 160 18 Nov 2021 .hammerspoon
drwxr-xr-x 3 lukas staff 96 21 Mar 2025 .idlerc
-rw------- 1 lukas staff 20 31 Mar 18:32 .lesshst
drwx------ 5 lukas staff 160 23 Dec 2024 .local
-rw------- 1 lukas staff 204 16 Mar 2024 .netrc
drwx------ 3 lukas staff 96 1 Nov 2021 .node-gyp
-rw------- 1 lukas staff 4 6 Feb 2024 .node_repl_history
-rw-r--r-- 1 lukas staff 17 24 Dec 2023 .notion-enhancer
drwxr-xr-x 4 lukas staff 128 12 Jul 2024 .notion-py
drwx------ 9 lukas staff 288 11 Apr 18:41 .npm
-rw------- 1 lukas staff 74 20 May 2024 .npmrc
drwx------ 32 lukas staff 1024 25 Jul 2025 .nvm
drwxr-xr-x 4 lukas staff 128 5 Aug 2023 .postman
-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .profile
-rw-------@ 1 lukas staff 3153 21 Mar 2025 .python_history
drwx------ 2 lukas staff 64 15 Nov 2021 .quicktype-vscode
drwxr-xr-x@ 8 lukas staff 256 16 Feb 08:48 .redis-insight
drwxr-xr-x 10 lukas staff 320 11 Apr 14:52 .screenpipe
UW PICO 5.09 New Buffer
[ Read 11 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
drwxr-xr-x 4 lukas staff 128 4 Feb 09:35 .sonarlint
drwx------ 15 lukas staff 480 8 Aug 2025 .ssh
drwxr-xr-x@ 3 lukas staff 96 15 Aug 2025 .streamlit
drwx------ 6 lukas staff 192 17 Oct 2022 .swiftpm
-rw------- 1 lukas staff 12183 8 Apr 19:14 .viminfo
drwx------ 5 lukas staff 160 19 Jun 2023 .vscode
drwxr-xr-x@ 3 lukas staff 96 20 Jan 2025 .warp
drwxr-xr-x 4 lukas staff 128 29 Apr 2023 .wdm
drwxr-xr-x@ 5 lukas staff 160 26 Jan 13:03 .windsurf
drwxr-xr-x 4 lukas staff 128 24 Mar 12:03 .yarn
-rw-r--r-- 1 lukas staff 116 30 Mar 10:12 .yarnrc
-rw-r--r--@ 1 lukas staff 49518 6 Apr 14:31 .zcompdump
-rw-r--r--@ 1 lukas staff 46758 2 Nov 20:34 .zcompdump.Lukas-Kovaliks-MacBook-Pro-Jiminny.23381
-rw-r--r--@ 1 lukas staff 5641 9 Apr 20:30 .zprofile
-rw-r--r-- 1 lukas staff 1468 8 Apr 2022 .zprofile-copy
-rw-r--r--@ 1 lukas staff 2900 15 Mar 2023 .zprofile.pysave
-rw------- 1 lukas staff 1731 29 Jun 2022 .zprofile.save
-rw-r--r-- 1 lukas staff 1569 8 Apr 2022 .zprofilees
UW PICO 5.09 New Buffer
[ Read 13 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
-rw------- 1 lukas staff 28812 11 Apr 18:38 .zsh_history
drwx------ 9 lukas staff 288 6 May 2025 .zsh_sessions
-rw-r--r--@ 1 lukas staff 597 11 Apr 18:44 .zshrc
drwx------@ 9 lukas staff 288 9 Apr 20:08 Applications
drwxr-xr-x@ 2 lukas staff 64 22 Oct 09:35 CascadeProjects
drwxr-xr-x 4 lukas staff 128 27 Oct 09:24 DEV
drwx------@ 10 lukas staff 320 11 Apr 18:31 Desktop
drwx------@ 7 lukas staff 224 26 Mar 14:40 Documents
drwx------@ 41 lukas staff 1312 8 Apr 20:46 Downloads
drwxr-xr-x@ 4 lukas staff 128 17 Mar 20:27 Keychron_Screen
drwx------@ 112 lukas staff 3584 2 Dec 09:19 Library
drwx------ 7 lukas staff 224 12 Feb 2024 Movies
drwx------+ 5 lukas staff 160 25 Sep 2023 Music
drwx------+ 9 lukas staff 288 25 Sep 2023 Pictures
drwx------ 3 lukas staff 96 8 Nov 2021 Postman
drwx------+ 4 lukas staff 128 28 Oct 2021 Public
-rw-r--r--@ 1 lukas staff 3950 15 Dec 09:16 Untitled 4.spf
drwx------ 4 lukas staff 128 2 Jul 2023 Users
drwx------ 3 lukas staff 96 30 Sep 2022 iCloud Drive (Archive)
drwx------ 16 lukas staff 512 3 Nov 11:35 jiminny
drwxr-xr-x 3 lukas staff 96 20 Mar 18:47 node_modules
drwxr-xr-x 4 lukas staff 128 21 Oct 18:15 raycast
-rw-r--r-- 1 lukas staff 0 1 Mar 14:26 response.bin
-rwxr-xr-x 1 lukas staff 3824 11 Apr 15:16 screenpipe-day.sh
-rw-r--r-- 1 lukas staff 86 20 Mar 18:47 yarn.lock
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano .zshrc
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ echo "alias sp-status='curl -s [URL_WITH_CREDENTIALS] ~ $ source ~/.zprofile
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-status
{
"status": "healthy",
"frame_status": "ok",
"audio_status": "disabled",
"last_frame": "2026-04-11T18:47:17+03:00",
"uptime": 345.971219541,
"fps": 0.[CREDIT_CARD],
"frames": 34
}
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop
screenpipe stopped
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start
[1] 41216
detected hardware tier: Mid
checking permissions...
screen recording: ok
accessibility: ok
2026-04-11T18:54:13.170097Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T18:54:13.812964Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T18:54:13.819889Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T18:54:13.819889Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T18:54:13.820291Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T18:54:13.820220Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T18:54:13.820450Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T18:54:13.820896Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T18:54:13.820856Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T18:54:13.821123Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T18:54:13.821801Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T18:54:13.821972Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T18:54:13.822128Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T18:54:13.822942Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T18:54:13.822962Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ true │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ disabled │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T18:54:18.859011Z INFO screenpipe_engine::retention: retention: initialized with 14d retention
2026-04-11T18:54:18.859467Z INFO screenpipe: local retention auto-enabled (14 days)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop
screenpipe stopped
[1] + terminated npx screenpipe@latest record --disable-audio
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT DISTINCT window_name
FROM frames
WHERE app_name IN ('Safari', 'Firefox', 'Arc', 'Chrome')
AND window_name IS NOT NULL
UW PICO 5.09 New Buffer
[ Read 13 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
ORDER BY window_name;"
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8 — Personal
Denník N - Nezávislý denník — Personal
Edit profile — Personal
Location Logger
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal
Maďarské voľby – Denník N — Personal
Personal — Mozilla Firefox
Picture-in-Picture
Problem loading page — Personal
Screenpipe Dashboard — Personal
Settings — Personal
Sign in – Google accounts — Personal
Tailscale — Personal
UGREEN NAS — Personal
Vimium Options — Personal
Vimium – Get this Extension for 🦊 Firefox (en-US) — Personal
firefox sidebar - Google Search — Personal
tilscale admin panel - Google Search — Personal
Order Room Service • HBO Max
Shameless • HBO Max
Shameless • HBO Max — Personal
Simple Pleasures • HBO Max — Personal
Časť 2 • HBO Max — Personal
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/config.json
{
"disable_audio": true,
"monitor_ids": ["Display 1_1440x900_0,0", "Display 2_3008x1253_-813,-1253"],
"ignored_windows": [
"1Password",
"Keychain Access",
"Bitwarden",
"System Preferences",
"System Settings",
"zoom.us",
"HBO Max",
]
}
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe && sleep 2 && npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-11T19:00:06.546722Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T19:00:07.267955Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T19:00:07.269566Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T19:00:07.269564Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T19:00:07.269921Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T19:00:07.470439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T19:00:07.470481Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T19:00:07.470420Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T19:00:07.470877Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T19:00:07.471071Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T19:00:07.471748Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T19:00:07.471948Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T19:00:07.472085Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T19:00:07.472295Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T19:00:07.472315Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T19:00:14.624523Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2
2026-04-11T19:00:14.624669Z INFO screenpipe: shutdown complete
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-11T19:00:31.694964Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T19:00:32.442217Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T19:00:32.443687Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T19:00:32.443694Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T19:00:32.444120Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T19:00:32.662907Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T19:00:32.662887Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T19:00:32.662980Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T19:00:32.663355Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T19:00:32.663550Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T19:00:32.664216Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T19:00:32.664395Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T19:00:32.664552Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T19:00:32.665488Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T19:00:32.665515Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T19:00:42.589528Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 47668625-ff04-42f8-aa0d-f468ff11f0ff
2026-04-11T19:00:42.589635Z INFO screenpipe: shutdown complete
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start
[1] 42748
detected hardware tier: Mid
checking permissions...
screen recording: ok
accessibility: ok
2026-04-11T20:26:04.829554Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T20:26:05.341444Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T20:26:05.345218Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T20:26:05.345229Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T20:26:05.345415Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T20:26:05.345428Z INFO screenpipe_engine:...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"scp: dest open \"/volume1/screenpipe/db.sqlite\": No such file or directory\nscp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@100.73.206.126:/volume1/screenpipe/\nscp: dest open \"/volume1/screenpipe/\": No such file or directory\nscp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 32\ndrwxr-xr-x 4 root wheel 128 11 Apr 16:35 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $clear\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: touch:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: bad pattern: unmount(/Volumes/screenpipe):\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: touch:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: cp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: scp:\nzsh: command not found: scp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: scp:\nzsh: command not found: scp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: total\nzsh: command not found: drwxr-xr-x\nzsh: command not found: drwxr-xr-x\nzsh: file exists: /\nzsh: command not found: drwx------\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@100.73.206.126:/volume1/screenpipe/db.sqlite\nscp: dest open \"/volume1/screenpipe/db.sqlite\": No such file or directory\nscp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls \nMacintosh HD\u0000\u0000\u0000\tscreenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 32\ndrwxr-xr-x 4 root wheel 128 11 Apr 16:35 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite\ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/db.sqlite\ncp: /Volumes/Test/screenpipe/db.sqlite: No such file or directory\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/ \ncp: directory /Volumes/Test/screenpipe does not exist\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite \ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/ \ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 96\ndrwxr-xr-x 6 root wheel 192 11 Apr 16:45 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\ndrwx------ 1 lukas staff 16384 10 Aug 2025 Apps\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 15:46 Test\ndrwx------ 1 lukas staff 16384 11 Apr 16:47 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/pipes/ /Volumes/Test/screenpipe/pipes/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/data/data/ /Volumes/Test/screenpipe/data/ \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sed 's|$HOME/.screenpipe/db.sqlite|/volume1/Test/screenpipe/db.sqlite|g' ~/screenpipe-day.sh > /volume1/Test/screenpipe/screenpipe-day.sh\nzsh: no such file or directory: /volume1/Test/screenpipe/screenpipe-day.sh\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cat ~/screenpipe-day.sh \n#!/bin/zsh\nDB=\"$HOME/.screenpipe/db.sqlite\"\nDATE=${1:-$(date -v-1d '+%Y-%m-%d')}\n\necho \"═══════════════════════════════════════\"\necho \" SCREENPIPE REPORT — $DATE\"\necho \"═══════════════════════════════════════\"\n\necho \"\\n📱\u0000 APP USAGE (frames + estimated time)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-30s %5d frames ~%5.1f min', app_name, COUNT(*), ROUND(COUNT(*) * 4.5 / 60.0, 1))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY app_name ORDER BY COUNT(*) DESC;\"\n\necho \"\\n⌨️\u0000 ACTIVITY TYPE PER APP (clicks / keys / switches)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-25s clicks:%-5d keys:%-5d switches:%-4d', \n app_name,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END),\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END),\n SUM(CASE WHEN event_type='app_switch' THEN 1 ELSE 0 END))\nFROM ui_events\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY app_name ORDER BY COUNT(*) DESC;\"\n\necho \"\\n🌐\u0000 BROWSER URLS VISITED\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%4d frames %s', COUNT(*), browser_url)\nFROM frames\nWHERE date(timestamp) = '$DATE' AND browser_url IS NOT NULL\nGROUP BY browser_url ORDER BY COUNT(*) DESC LIMIT 20;\"\n\necho \"\\n🪟\u0000 WINDOW TITLES (top 20)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-20s %3d %s', app_name, COUNT(*), SUBSTR(window_name,1,60))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND window_name IS NOT NULL AND app_name IS NOT NULL\nGROUP BY app_name, window_name ORDER BY COUNT(*) DESC LIMIT 20;\"\n\necho \"\\n🕐\u0000 HOURLY TIMELINE\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%s %-20s %3d frames', strftime('%H:00', timestamp), app_name, COUNT(*))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY strftime('%H', timestamp), app_name\nORDER BY strftime('%H', timestamp), COUNT(*) DESC;\"\n\necho \"\\n📋\u0000 CLIPBOARD ACTIVITY\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-20s %s', app_name, SUBSTR(text_content, 1, 80))\nFROM ui_events\nWHERE date(timestamp) = '$DATE' AND event_type = 'clipboard' AND text_content IS NOT NULL\nORDER BY timestamp LIMIT 20;\"\n\necho \"\\n💬\u0000 OCR TEXT SAMPLES PER APP\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-15s %s', o.app_name, SUBSTR(o.text, 1, 80))\nFROM ocr_text o\nJOIN frames f ON o.frame_id = f.id\nWHERE date(f.timestamp) = '$DATE' AND o.app_name IS NOT NULL AND o.text != ''\nGROUP BY o.app_name\nORDER BY o.app_name LIMIT 15;\"\n\necho \"\\n🔢\u0000 TOTALS\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT \n 'Frames: ' || COUNT(*) FROM frames WHERE date(timestamp) = '$DATE';\n\"\nsqlite3 \"$DB\" \"\nSELECT 'UI Events: ' || COUNT(*) FROM ui_events WHERE date(timestamp) = '$DATE';\n\"\nsqlite3 \"$DB\" \"\nSELECT 'OCR texts: ' || COUNT(*) FROM ocr_text o JOIN frames f ON o.frame_id = f.id WHERE date(f.timestamp) = '$DATE';\n\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\ncurl: (7) Failed to connect to localhost port 3030 after 0 ms: Couldn't connect to server\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 11194 0 --:--:-- --:--:-- --:--:-- 11666\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl http://localhost:3030/health | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 943 100 943 0 0 574k 0 --:--:-- --:--:-- --:--:-- 920k\n{\n \"audio_db_write_stalled\": false,\n \"audio_status\": \"disabled\",\n \"device_status_details\": null,\n \"drm_content_paused\": false,\n \"frame_status\": \"ok\",\n \"hostname\": \"Lukas-Kovaliks-MacBook-Pro-Jiminny\",\n \"last_audio_timestamp\": null,\n \"last_frame_timestamp\": \"2026-04-11T18:42:01+03:00\",\n \"message\": \"all systems are functioning normally.\",\n \"monitors\": [\n \"Display 1 (1440x900)\",\n \"Display 2 (2560x1440)\"\n ],\n \"pipeline\": {\n \"avg_db_latency_ms\": 56.5,\n \"avg_ocr_latency_ms\": 0.0,\n \"capture_fps_actual\": 0.5718911974206078,\n \"frame_drop_rate\": 0.0,\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 134 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \n \"frames_captured\": 2,\n \"frames_db_written\": 2,\n \"frames_dropped\": 0,\n \"ocr_cache_hit_rate\": 0.0,\n \"ocr_queue_depth\": 0,\n \"pipeline_stall_count\": 0,\n \"time_to_first_frame_ms\": 1250.985,\n \"uptime_secs\": 3.497168708,\n \"video_queue_depth\": 0\n },\n \"pool_stats\": {\n \"read_pool_idle\": 3,\n \"read_pool_size\": 3,\n \"write_pool_idle\": 2,\n \"write_pool_size\": 2\n },\n \"schedule_paused\": false,\n \"status\": \"healthy\",\n \"status_code\": 200,\n \"verbose_instructions\": null,\n \"version\": \"0.3.278\",\n \"vision_db_write_stalled\": false\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -s http://localhost:3030/health | jq '{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}'\n{\n \"status\": \"healthy\",\n \"frame_status\": \"ok\",\n \"audio_status\": \"disabled\",\n \"last_frame\": \"2026-04-11T18:43:24+03:00\",\n \"uptime\": 85.845911708,\n \"fps\": 0.198029232397514,\n \"frames\": 17\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ echo \"alias sp-status='curl -s http://localhost:3030/health | jq \\\"{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}\\\"'\" >> ~/.zshrc\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status\nzsh: command not found: sp-status\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ source ~/.zprofile\n\nPoetry could not find a pyproject.toml file in /Volumes or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status \nzsh: command not found: sp-status\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ zp\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls\nApps\u0000\u0000\u0000\t\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tMacintosh HD\u0000\u0000\u0000\tTest\u0000\u0000\u0000\t\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tscreenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cd\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ll\ntotal 1272\ndrwx------+ 89 lukas staff 2848 11 Apr 18:38 .\ndrwxr-xr-x 5 root admin 160 23 Aug 2024 ..\n-r-------- 1 lukas staff 7 18 Nov 2021 .CFUserTextEncoding\n-rw-r--r--@ 1 lukas staff 22532 11 Apr 16:46 .DS_Store\ndrwx------+ 2 lukas staff 64 11 Apr 11:15 .Trash\ndrwx------ 5 lukas staff 160 1 Nov 2021 .aws\n-rw-r--r-- 1 lukas staff 341470 29 Sep 2022 .babel.json\n-rw-------@ 1 lukas staff 388 25 Jul 2025 .bash_history\n-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .bashrc\ndrwxr-xr-x 5 lukas staff 160 11 Mar 2023 .bito\ndrwx------@ 6 lukas staff 192 9 Apr 19:53 .cache\ndrwxr-xr-x 20 lukas staff 640 9 Apr 21:21 .claude\n-rw------- 1 lukas staff 24973 9 Apr 21:24 .claude.json\ndrwxr-xr-x@ 20 lukas staff 640 12 Mar 09:12 .codeium\ndrwxrwxrwx@ 3 lukas staff 96 2 Mar 2023 .composer\ndrwx------ 16 lukas staff 512 21 May 2025 .config\ndrwxr-xr-x 15 lukas staff 480 23 Dec 2024 .continue\ndrwx------@ 3 lukas staff 96 16 Feb 19:13 .copilot\ndrwxr-xr-x@ 5 lukas staff 160 9 Apr 2025 .cursor\ndrwxr-xr-x@ 5 lukas staff 160 17 Aug 2024 .cursor-tutor\ndrwxr-xr-x 3 lukas staff 96 8 Sep 2024 .daytona\ndrwxr-xr-x@ 4 lukas staff 128 18 Feb 10:52 .devdb\ndrwx------ 24 lukas staff 768 9 Apr 18:24 .docker\ndrwx------ 15 lukas staff 480 6 Jun 2023 .dropbox\ndrwxr-xr-x@ 3 lukas staff 96 20 Nov 2022 .fig.dotfiles.bak\n-rw-r--r-- 1 lukas staff 138 5 Mar 2022 .gauth\n-rw-r--r-- 1 lukas staff 220 25 Nov 2021 .gitconfig\n-rw-r--r-- 1 lukas staff 12288 25 Nov 2021 .gitconfig.swp\ndrwx------ 5 lukas staff 160 18 Nov 2021 .hammerspoon\ndrwxr-xr-x 3 lukas staff 96 21 Mar 2025 .idlerc\n-rw------- 1 lukas staff 20 31 Mar 18:32 .lesshst\ndrwx------ 5 lukas staff 160 23 Dec 2024 .local\n-rw------- 1 lukas staff 204 16 Mar 2024 .netrc\ndrwx------ 3 lukas staff 96 1 Nov 2021 .node-gyp\n-rw------- 1 lukas staff 4 6 Feb 2024 .node_repl_history\n-rw-r--r-- 1 lukas staff 17 24 Dec 2023 .notion-enhancer\ndrwxr-xr-x 4 lukas staff 128 12 Jul 2024 .notion-py\ndrwx------ 9 lukas staff 288 11 Apr 18:41 .npm\n-rw------- 1 lukas staff 74 20 May 2024 .npmrc\ndrwx------ 32 lukas staff 1024 25 Jul 2025 .nvm\ndrwxr-xr-x 4 lukas staff 128 5 Aug 2023 .postman\n-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .profile\n-rw-------@ 1 lukas staff 3153 21 Mar 2025 .python_history\ndrwx------ 2 lukas staff 64 15 Nov 2021 .quicktype-vscode\ndrwxr-xr-x@ 8 lukas staff 256 16 Feb 08:48 .redis-insight\ndrwxr-xr-x 10 lukas staff 320 11 Apr 14:52 .screenpipe\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 11 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \ndrwxr-xr-x 4 lukas staff 128 4 Feb 09:35 .sonarlint\ndrwx------ 15 lukas staff 480 8 Aug 2025 .ssh\ndrwxr-xr-x@ 3 lukas staff 96 15 Aug 2025 .streamlit\ndrwx------ 6 lukas staff 192 17 Oct 2022 .swiftpm\n-rw------- 1 lukas staff 12183 8 Apr 19:14 .viminfo\ndrwx------ 5 lukas staff 160 19 Jun 2023 .vscode\ndrwxr-xr-x@ 3 lukas staff 96 20 Jan 2025 .warp\ndrwxr-xr-x 4 lukas staff 128 29 Apr 2023 .wdm\ndrwxr-xr-x@ 5 lukas staff 160 26 Jan 13:03 .windsurf\ndrwxr-xr-x 4 lukas staff 128 24 Mar 12:03 .yarn\n-rw-r--r-- 1 lukas staff 116 30 Mar 10:12 .yarnrc\n-rw-r--r--@ 1 lukas staff 49518 6 Apr 14:31 .zcompdump\n-rw-r--r--@ 1 lukas staff 46758 2 Nov 20:34 .zcompdump.Lukas-Kovaliks-MacBook-Pro-Jiminny.23381\n-rw-r--r--@ 1 lukas staff 5641 9 Apr 20:30 .zprofile\n-rw-r--r-- 1 lukas staff 1468 8 Apr 2022 .zprofile-copy\n-rw-r--r--@ 1 lukas staff 2900 15 Mar 2023 .zprofile.pysave\n-rw------- 1 lukas staff 1731 29 Jun 2022 .zprofile.save\n-rw-r--r-- 1 lukas staff 1569 8 Apr 2022 .zprofilees\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 13 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \n-rw------- 1 lukas staff 28812 11 Apr 18:38 .zsh_history\ndrwx------ 9 lukas staff 288 6 May 2025 .zsh_sessions\n-rw-r--r--@ 1 lukas staff 597 11 Apr 18:44 .zshrc\ndrwx------@ 9 lukas staff 288 9 Apr 20:08 Applications\ndrwxr-xr-x@ 2 lukas staff 64 22 Oct 09:35 CascadeProjects\ndrwxr-xr-x 4 lukas staff 128 27 Oct 09:24 DEV\ndrwx------@ 10 lukas staff 320 11 Apr 18:31 Desktop\ndrwx------@ 7 lukas staff 224 26 Mar 14:40 Documents\ndrwx------@ 41 lukas staff 1312 8 Apr 20:46 Downloads\ndrwxr-xr-x@ 4 lukas staff 128 17 Mar 20:27 Keychron_Screen\ndrwx------@ 112 lukas staff 3584 2 Dec 09:19 Library\ndrwx------ 7 lukas staff 224 12 Feb 2024 Movies\ndrwx------+ 5 lukas staff 160 25 Sep 2023 Music\ndrwx------+ 9 lukas staff 288 25 Sep 2023 Pictures\ndrwx------ 3 lukas staff 96 8 Nov 2021 Postman\ndrwx------+ 4 lukas staff 128 28 Oct 2021 Public\n-rw-r--r--@ 1 lukas staff 3950 15 Dec 09:16 Untitled 4.spf\ndrwx------ 4 lukas staff 128 2 Jul 2023 Users\ndrwx------ 3 lukas staff 96 30 Sep 2022 iCloud Drive (Archive)\ndrwx------ 16 lukas staff 512 3 Nov 11:35 jiminny\ndrwxr-xr-x 3 lukas staff 96 20 Mar 18:47 node_modules\ndrwxr-xr-x 4 lukas staff 128 21 Oct 18:15 raycast\n-rw-r--r-- 1 lukas staff 0 1 Mar 14:26 response.bin\n-rwxr-xr-x 1 lukas staff 3824 11 Apr 15:16 screenpipe-day.sh\n-rw-r--r-- 1 lukas staff 86 20 Mar 18:47 yarn.lock\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano .zshrc \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ echo \"alias sp-status='curl -s http://localhost:3030/health | jq \\\"{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}\\\"'\" >> ~/.zprofile\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ source ~/.zprofile\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-status \n{\n \"status\": \"healthy\",\n \"frame_status\": \"ok\",\n \"audio_status\": \"disabled\",\n \"last_frame\": \"2026-04-11T18:47:17+03:00\",\n \"uptime\": 345.971219541,\n \"fps\": 0.0982740704417778,\n \"frames\": 34\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop\nscreenpipe stopped\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start \n[1] 41216\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-11T18:54:13.170097Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T18:54:13.812964Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T18:54:13.819889Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T18:54:13.819889Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T18:54:13.820291Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T18:54:13.820220Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T18:54:13.820450Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T18:54:13.820896Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T18:54:13.820856Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T18:54:13.821123Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T18:54:13.821801Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T18:54:13.821972Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T18:54:13.822128Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T18:54:13.822942Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T18:54:13.822962Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T18:54:13.824479Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T18:54:13.824829Z INFO screenpipe: starting UI event capture\n2026-04-11T18:54:13.828568Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T18:54:13.829646Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T18:54:13.838998Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T18:54:13.852999Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T18:54:13.853108Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 15:54:13.853107 UTC to 2026-04-11 15:54:13.853107 UTC)\n2026-04-11T18:54:13.853121Z INFO screenpipe_engine::ui_recorder: UI recording session started: 13f9ef4b-a7db-47ce-844f-778b4b926db5\n2026-04-11T18:54:13.854048Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T18:54:13.859344Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T18:54:13.864448Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T18:54:14.006638Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 878 frame entries, coverage from 2026-04-10 15:54:13.853107 UTC\n2026-04-11T18:54:14.161101Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T18:54:14.161134Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T18:54:14.161145Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T18:54:14.161153Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T18:54:14.161204Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T18:54:14.958802Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T18:54:15.096012Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1402, dur=52ms\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T18:54:18.859011Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T18:54:18.859467Z INFO screenpipe: local retention auto-enabled (14 days)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop\nscreenpipe stopped\n[1] + terminated npx screenpipe@latest record --disable-audio \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT DISTINCT window_name\nFROM frames\nWHERE app_name IN ('Safari', 'Firefox', 'Arc', 'Chrome')\nAND window_name IS NOT NULL\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 13 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \nORDER BY window_name;\"\nDXP4800PLUS-B5F8\nDXP4800PLUS-B5F8 — Personal\nDenník N - Nezávislý denník — Personal\nEdit profile — Personal\nLocation Logger\nLoď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal\nMaďarské voľby – Denník N — Personal\nPersonal — Mozilla Firefox\nPicture-in-Picture\nProblem loading page — Personal\nScreenpipe Dashboard — Personal\nSettings — Personal\nSign in – Google accounts — Personal\nTailscale — Personal\nUGREEN NAS — Personal\nVimium Options — Personal\nVimium – Get this Extension for 🦊\u0000 Firefox (en-US) — Personal\nfirefox sidebar - Google Search — Personal\ntilscale admin panel - Google Search — Personal\nOrder Room Service • HBO Max\nShameless • HBO Max\nShameless • HBO Max — Personal\nSimple Pleasures • HBO Max — Personal\nČasť 2 • HBO Max — Personal\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/config.json \n{\n \"disable_audio\": true,\n \"monitor_ids\": [\"Display 1_1440x900_0,0\", \"Display 2_3008x1253_-813,-1253\"],\n \"ignored_windows\": [\n \"1Password\",\n \"Keychain Access\",\n \"Bitwarden\",\n \"System Preferences\",\n \"System Settings\",\n \"zoom.us\",\n \"HBO Max\",\n ]\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe && sleep 2 && npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record \ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-11T19:00:06.546722Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T19:00:07.267955Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T19:00:07.269566Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T19:00:07.269564Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T19:00:07.269921Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T19:00:07.470439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T19:00:07.470481Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T19:00:07.470420Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T19:00:07.470877Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T19:00:07.471071Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T19:00:07.471748Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T19:00:07.471948Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T19:00:07.472085Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T19:00:07.472295Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T19:00:07.472315Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T19:00:07.473167Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T19:00:07.473787Z INFO screenpipe: starting UI event capture\n2026-04-11T19:00:07.476515Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T19:00:07.485630Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T19:00:07.489867Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T19:00:07.503670Z INFO screenpipe_engine::ui_recorder: UI recording session started: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2\n2026-04-11T19:00:07.503881Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T19:00:07.503967Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 16:00:07.503966 UTC to 2026-04-11 16:00:07.503966 UTC)\n2026-04-11T19:00:07.504283Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T19:00:07.509408Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T19:00:07.514386Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T19:00:07.659978Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 879 frame entries, coverage from 2026-04-10 16:00:07.503966 UTC\n2026-04-11T19:00:07.820721Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T19:00:07.820747Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T19:00:07.820758Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T19:00:07.820766Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T19:00:07.820805Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T19:00:08.565404Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T19:00:08.709384Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1403, dur=60ms\n2026-04-11T19:00:12.507772Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T19:00:12.508217Z INFO screenpipe: local retention auto-enabled (14 days)\n^C2026-04-11T19:00:14.475068Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-11T19:00:14.476266Z INFO screenpipe: stopping UI event capture\n2026-04-11T19:00:14.476480Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-11T19:00:14.476552Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-11T19:00:14.476564Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-11T19:00:14.476595Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-11T19:00:14.477268Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n\n2026-04-11T19:00:14.481053Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s) \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T19:00:14.624523Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2\n2026-04-11T19:00:14.624669Z INFO screenpipe: shutdown complete\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-11T19:00:31.694964Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T19:00:32.442217Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T19:00:32.443687Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T19:00:32.443694Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T19:00:32.444120Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T19:00:32.662907Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T19:00:32.662887Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T19:00:32.662980Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T19:00:32.663355Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T19:00:32.663550Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T19:00:32.664216Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T19:00:32.664395Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T19:00:32.664552Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T19:00:32.665488Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T19:00:32.665515Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T19:00:32.667186Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T19:00:32.667286Z INFO screenpipe: starting UI event capture\n2026-04-11T19:00:32.670076Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T19:00:32.672989Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T19:00:32.681327Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T19:00:32.695244Z INFO screenpipe_engine::ui_recorder: UI recording session started: 47668625-ff04-42f8-aa0d-f468ff11f0ff\n2026-04-11T19:00:32.695238Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T19:00:32.695298Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 16:00:32.695296 UTC to 2026-04-11 16:00:32.695296 UTC)\n2026-04-11T19:00:32.695769Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T19:00:32.701263Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T19:00:32.705041Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T19:00:32.852998Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 880 frame entries, coverage from 2026-04-10 16:00:32.695296 UTC\n2026-04-11T19:00:32.998691Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T19:00:32.998717Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T19:00:32.998728Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T19:00:32.998739Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T19:00:32.998790Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T19:00:33.736410Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T19:00:34.302357Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1404, dur=507ms\n2026-04-11T19:00:37.699366Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T19:00:37.699830Z INFO screenpipe: local retention auto-enabled (14 days)\n^C2026-04-11T19:00:42.463354Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-11T19:00:42.463443Z INFO screenpipe: stopping UI event capture\n2026-04-11T19:00:42.463473Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-11T19:00:42.463494Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-11T19:00:42.463501Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-11T19:00:42.463509Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-11T19:00:42.463516Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n\n2026-04-11T19:00:42.466209Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s) \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T19:00:42.589528Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 47668625-ff04-42f8-aa0d-f468ff11f0ff\n2026-04-11T19:00:42.589635Z INFO screenpipe: shutdown complete\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start\n[1] 42748\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-11T20:26:04.829554Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T20:26:05.341444Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T20:26:05.345218Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T20:26:05.345229Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T20:26:05.345415Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T20:26:05.345428Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T20:26:05.345477Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T20:26:05.345864Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T20:26:05.346065Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T20:26:05.346166Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T20:26:05.346730Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T20:26:05.346883Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T20:26:05.346990Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T20:26:05.347093Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T20:26:05.347108Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T20:26:05.348501Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T20:26:05.348754Z INFO screenpipe: starting UI event capture\n2026-04-11T20:26:05.353656Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T20:26:05.358540Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T20:26:05.363864Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T20:26:05.378325Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T20:26:05.378392Z INFO screenpipe_engine::ui_recorder: UI recording session started: 5b17c7fe-3811-4788-a81b-6b04773808f1\n2026-04-11T20:26:05.378564Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 17:26:05.378561 UTC to 2026-04-11 17:26:05.378561 UTC)\n2026-04-11T20:26:05.379467Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T20:26:05.384798Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T20:26:05.389960Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T20:26:05.528107Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 883 frame entries, coverage from 2026-04-10 17:26:05.378561 UTC\n2026-04-11T20:26:05.683177Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T20:26:05.683293Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T20:26:05.683303Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T20:26:05.683311Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T20:26:05.683359Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T20:26:06.488545Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T20:26:07.067446Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1407, dur=537ms\n2026-04-11T20:26:08.752985Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-9215443531147982391, trigger=visual_change)\n2026-04-11T20:26:10.383131Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T20:26:10.383762Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-11T20:26:38.337011Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-9215443531147982391, trigger=click)\n2026-04-11T20:26:55.992688Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5606118560581161138, trigger=click)\n2026-04-11T20:26:57.331771Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5606118560581161138, trigger=click)\n2026-04-11T20:27:05.408691Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 61 eligible frames\n2026-04-11T20:27:09.664908Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 61 frames, 9.4MB → 3.3MB (2.8x), 61 JPEGs deleted\n2026-04-11T20:31:05.374969Z INFO screenpipe_engine::server: api_usage_5min: 1 requests\n2026-04-11T20:31:40.380610Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-28T17:31:40.380594+00:00 (14d retention)\n2026-04-11T20:32:09.668412Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 1 eligible frames\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000ls -lah ~/.screenpipe/data/data/ | head -20\ndu -sh ~/.screenpipe/data/data/*\ntotal 24\ndrwxr-xr-x 5 lukas staff 160B 11 Apr 14:52 .\ndrwxr-xr-x 5 lukas staff 160B 11 Apr 15:03 ..\n-rw-r--r--@ 1 lukas staff 8.0K 9 Apr 20:43 .DS_Store\ndrwxr-xr-x 14 lukas staff 448B 11 Apr 14:53 2026-04-09\ndrwxr-xr-x 98 lukas staff 3.1K 11 Apr 20:32 2026-04-11\n 39M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/data/data/2026-04-09\n 60M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/data/data/2026-04-11\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ | head -20 \ndu -sh ~/.screenpipe/data/data/*","depth":4,"value":"scp: dest open \"/volume1/screenpipe/db.sqlite\": No such file or directory\nscp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@100.73.206.126:/volume1/screenpipe/\nscp: dest open \"/volume1/screenpipe/\": No such file or directory\nscp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 32\ndrwxr-xr-x 4 root wheel 128 11 Apr 16:35 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $clear\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: touch:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: bad pattern: unmount(/Volumes/screenpipe):\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: touch:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: cp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: scp:\nzsh: command not found: scp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: scp:\nzsh: command not found: scp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: total\nzsh: command not found: drwxr-xr-x\nzsh: command not found: drwxr-xr-x\nzsh: file exists: /\nzsh: command not found: drwx------\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@100.73.206.126:/volume1/screenpipe/db.sqlite\nscp: dest open \"/volume1/screenpipe/db.sqlite\": No such file or directory\nscp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls \nMacintosh HD\u0000\u0000\u0000\tscreenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 32\ndrwxr-xr-x 4 root wheel 128 11 Apr 16:35 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite\ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/db.sqlite\ncp: /Volumes/Test/screenpipe/db.sqlite: No such file or directory\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/ \ncp: directory /Volumes/Test/screenpipe does not exist\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite \ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/ \ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 96\ndrwxr-xr-x 6 root wheel 192 11 Apr 16:45 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\ndrwx------ 1 lukas staff 16384 10 Aug 2025 Apps\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 15:46 Test\ndrwx------ 1 lukas staff 16384 11 Apr 16:47 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/pipes/ /Volumes/Test/screenpipe/pipes/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/data/data/ /Volumes/Test/screenpipe/data/ \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sed 's|$HOME/.screenpipe/db.sqlite|/volume1/Test/screenpipe/db.sqlite|g' ~/screenpipe-day.sh > /volume1/Test/screenpipe/screenpipe-day.sh\nzsh: no such file or directory: /volume1/Test/screenpipe/screenpipe-day.sh\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cat ~/screenpipe-day.sh \n#!/bin/zsh\nDB=\"$HOME/.screenpipe/db.sqlite\"\nDATE=${1:-$(date -v-1d '+%Y-%m-%d')}\n\necho \"═══════════════════════════════════════\"\necho \" SCREENPIPE REPORT — $DATE\"\necho \"═══════════════════════════════════════\"\n\necho \"\\n📱\u0000 APP USAGE (frames + estimated time)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-30s %5d frames ~%5.1f min', app_name, COUNT(*), ROUND(COUNT(*) * 4.5 / 60.0, 1))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY app_name ORDER BY COUNT(*) DESC;\"\n\necho \"\\n⌨️\u0000 ACTIVITY TYPE PER APP (clicks / keys / switches)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-25s clicks:%-5d keys:%-5d switches:%-4d', \n app_name,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END),\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END),\n SUM(CASE WHEN event_type='app_switch' THEN 1 ELSE 0 END))\nFROM ui_events\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY app_name ORDER BY COUNT(*) DESC;\"\n\necho \"\\n🌐\u0000 BROWSER URLS VISITED\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%4d frames %s', COUNT(*), browser_url)\nFROM frames\nWHERE date(timestamp) = '$DATE' AND browser_url IS NOT NULL\nGROUP BY browser_url ORDER BY COUNT(*) DESC LIMIT 20;\"\n\necho \"\\n🪟\u0000 WINDOW TITLES (top 20)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-20s %3d %s', app_name, COUNT(*), SUBSTR(window_name,1,60))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND window_name IS NOT NULL AND app_name IS NOT NULL\nGROUP BY app_name, window_name ORDER BY COUNT(*) DESC LIMIT 20;\"\n\necho \"\\n🕐\u0000 HOURLY TIMELINE\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%s %-20s %3d frames', strftime('%H:00', timestamp), app_name, COUNT(*))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY strftime('%H', timestamp), app_name\nORDER BY strftime('%H', timestamp), COUNT(*) DESC;\"\n\necho \"\\n📋\u0000 CLIPBOARD ACTIVITY\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-20s %s', app_name, SUBSTR(text_content, 1, 80))\nFROM ui_events\nWHERE date(timestamp) = '$DATE' AND event_type = 'clipboard' AND text_content IS NOT NULL\nORDER BY timestamp LIMIT 20;\"\n\necho \"\\n💬\u0000 OCR TEXT SAMPLES PER APP\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-15s %s', o.app_name, SUBSTR(o.text, 1, 80))\nFROM ocr_text o\nJOIN frames f ON o.frame_id = f.id\nWHERE date(f.timestamp) = '$DATE' AND o.app_name IS NOT NULL AND o.text != ''\nGROUP BY o.app_name\nORDER BY o.app_name LIMIT 15;\"\n\necho \"\\n🔢\u0000 TOTALS\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT \n 'Frames: ' || COUNT(*) FROM frames WHERE date(timestamp) = '$DATE';\n\"\nsqlite3 \"$DB\" \"\nSELECT 'UI Events: ' || COUNT(*) FROM ui_events WHERE date(timestamp) = '$DATE';\n\"\nsqlite3 \"$DB\" \"\nSELECT 'OCR texts: ' || COUNT(*) FROM ocr_text o JOIN frames f ON o.frame_id = f.id WHERE date(f.timestamp) = '$DATE';\n\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\ncurl: (7) Failed to connect to localhost port 3030 after 0 ms: Couldn't connect to server\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 11194 0 --:--:-- --:--:-- --:--:-- 11666\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl http://localhost:3030/health | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 943 100 943 0 0 574k 0 --:--:-- --:--:-- --:--:-- 920k\n{\n \"audio_db_write_stalled\": false,\n \"audio_status\": \"disabled\",\n \"device_status_details\": null,\n \"drm_content_paused\": false,\n \"frame_status\": \"ok\",\n \"hostname\": \"Lukas-Kovaliks-MacBook-Pro-Jiminny\",\n \"last_audio_timestamp\": null,\n \"last_frame_timestamp\": \"2026-04-11T18:42:01+03:00\",\n \"message\": \"all systems are functioning normally.\",\n \"monitors\": [\n \"Display 1 (1440x900)\",\n \"Display 2 (2560x1440)\"\n ],\n \"pipeline\": {\n \"avg_db_latency_ms\": 56.5,\n \"avg_ocr_latency_ms\": 0.0,\n \"capture_fps_actual\": 0.5718911974206078,\n \"frame_drop_rate\": 0.0,\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 134 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \n \"frames_captured\": 2,\n \"frames_db_written\": 2,\n \"frames_dropped\": 0,\n \"ocr_cache_hit_rate\": 0.0,\n \"ocr_queue_depth\": 0,\n \"pipeline_stall_count\": 0,\n \"time_to_first_frame_ms\": 1250.985,\n \"uptime_secs\": 3.497168708,\n \"video_queue_depth\": 0\n },\n \"pool_stats\": {\n \"read_pool_idle\": 3,\n \"read_pool_size\": 3,\n \"write_pool_idle\": 2,\n \"write_pool_size\": 2\n },\n \"schedule_paused\": false,\n \"status\": \"healthy\",\n \"status_code\": 200,\n \"verbose_instructions\": null,\n \"version\": \"0.3.278\",\n \"vision_db_write_stalled\": false\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -s http://localhost:3030/health | jq '{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}'\n{\n \"status\": \"healthy\",\n \"frame_status\": \"ok\",\n \"audio_status\": \"disabled\",\n \"last_frame\": \"2026-04-11T18:43:24+03:00\",\n \"uptime\": 85.845911708,\n \"fps\": 0.198029232397514,\n \"frames\": 17\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ echo \"alias sp-status='curl -s http://localhost:3030/health | jq \\\"{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}\\\"'\" >> ~/.zshrc\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status\nzsh: command not found: sp-status\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ source ~/.zprofile\n\nPoetry could not find a pyproject.toml file in /Volumes or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status \nzsh: command not found: sp-status\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ zp\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls\nApps\u0000\u0000\u0000\t\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tMacintosh HD\u0000\u0000\u0000\tTest\u0000\u0000\u0000\t\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tscreenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cd\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ll\ntotal 1272\ndrwx------+ 89 lukas staff 2848 11 Apr 18:38 .\ndrwxr-xr-x 5 root admin 160 23 Aug 2024 ..\n-r-------- 1 lukas staff 7 18 Nov 2021 .CFUserTextEncoding\n-rw-r--r--@ 1 lukas staff 22532 11 Apr 16:46 .DS_Store\ndrwx------+ 2 lukas staff 64 11 Apr 11:15 .Trash\ndrwx------ 5 lukas staff 160 1 Nov 2021 .aws\n-rw-r--r-- 1 lukas staff 341470 29 Sep 2022 .babel.json\n-rw-------@ 1 lukas staff 388 25 Jul 2025 .bash_history\n-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .bashrc\ndrwxr-xr-x 5 lukas staff 160 11 Mar 2023 .bito\ndrwx------@ 6 lukas staff 192 9 Apr 19:53 .cache\ndrwxr-xr-x 20 lukas staff 640 9 Apr 21:21 .claude\n-rw------- 1 lukas staff 24973 9 Apr 21:24 .claude.json\ndrwxr-xr-x@ 20 lukas staff 640 12 Mar 09:12 .codeium\ndrwxrwxrwx@ 3 lukas staff 96 2 Mar 2023 .composer\ndrwx------ 16 lukas staff 512 21 May 2025 .config\ndrwxr-xr-x 15 lukas staff 480 23 Dec 2024 .continue\ndrwx------@ 3 lukas staff 96 16 Feb 19:13 .copilot\ndrwxr-xr-x@ 5 lukas staff 160 9 Apr 2025 .cursor\ndrwxr-xr-x@ 5 lukas staff 160 17 Aug 2024 .cursor-tutor\ndrwxr-xr-x 3 lukas staff 96 8 Sep 2024 .daytona\ndrwxr-xr-x@ 4 lukas staff 128 18 Feb 10:52 .devdb\ndrwx------ 24 lukas staff 768 9 Apr 18:24 .docker\ndrwx------ 15 lukas staff 480 6 Jun 2023 .dropbox\ndrwxr-xr-x@ 3 lukas staff 96 20 Nov 2022 .fig.dotfiles.bak\n-rw-r--r-- 1 lukas staff 138 5 Mar 2022 .gauth\n-rw-r--r-- 1 lukas staff 220 25 Nov 2021 .gitconfig\n-rw-r--r-- 1 lukas staff 12288 25 Nov 2021 .gitconfig.swp\ndrwx------ 5 lukas staff 160 18 Nov 2021 .hammerspoon\ndrwxr-xr-x 3 lukas staff 96 21 Mar 2025 .idlerc\n-rw------- 1 lukas staff 20 31 Mar 18:32 .lesshst\ndrwx------ 5 lukas staff 160 23 Dec 2024 .local\n-rw------- 1 lukas staff 204 16 Mar 2024 .netrc\ndrwx------ 3 lukas staff 96 1 Nov 2021 .node-gyp\n-rw------- 1 lukas staff 4 6 Feb 2024 .node_repl_history\n-rw-r--r-- 1 lukas staff 17 24 Dec 2023 .notion-enhancer\ndrwxr-xr-x 4 lukas staff 128 12 Jul 2024 .notion-py\ndrwx------ 9 lukas staff 288 11 Apr 18:41 .npm\n-rw------- 1 lukas staff 74 20 May 2024 .npmrc\ndrwx------ 32 lukas staff 1024 25 Jul 2025 .nvm\ndrwxr-xr-x 4 lukas staff 128 5 Aug 2023 .postman\n-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .profile\n-rw-------@ 1 lukas staff 3153 21 Mar 2025 .python_history\ndrwx------ 2 lukas staff 64 15 Nov 2021 .quicktype-vscode\ndrwxr-xr-x@ 8 lukas staff 256 16 Feb 08:48 .redis-insight\ndrwxr-xr-x 10 lukas staff 320 11 Apr 14:52 .screenpipe\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 11 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \ndrwxr-xr-x 4 lukas staff 128 4 Feb 09:35 .sonarlint\ndrwx------ 15 lukas staff 480 8 Aug 2025 .ssh\ndrwxr-xr-x@ 3 lukas staff 96 15 Aug 2025 .streamlit\ndrwx------ 6 lukas staff 192 17 Oct 2022 .swiftpm\n-rw------- 1 lukas staff 12183 8 Apr 19:14 .viminfo\ndrwx------ 5 lukas staff 160 19 Jun 2023 .vscode\ndrwxr-xr-x@ 3 lukas staff 96 20 Jan 2025 .warp\ndrwxr-xr-x 4 lukas staff 128 29 Apr 2023 .wdm\ndrwxr-xr-x@ 5 lukas staff 160 26 Jan 13:03 .windsurf\ndrwxr-xr-x 4 lukas staff 128 24 Mar 12:03 .yarn\n-rw-r--r-- 1 lukas staff 116 30 Mar 10:12 .yarnrc\n-rw-r--r--@ 1 lukas staff 49518 6 Apr 14:31 .zcompdump\n-rw-r--r--@ 1 lukas staff 46758 2 Nov 20:34 .zcompdump.Lukas-Kovaliks-MacBook-Pro-Jiminny.23381\n-rw-r--r--@ 1 lukas staff 5641 9 Apr 20:30 .zprofile\n-rw-r--r-- 1 lukas staff 1468 8 Apr 2022 .zprofile-copy\n-rw-r--r--@ 1 lukas staff 2900 15 Mar 2023 .zprofile.pysave\n-rw------- 1 lukas staff 1731 29 Jun 2022 .zprofile.save\n-rw-r--r-- 1 lukas staff 1569 8 Apr 2022 .zprofilees\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 13 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \n-rw------- 1 lukas staff 28812 11 Apr 18:38 .zsh_history\ndrwx------ 9 lukas staff 288 6 May 2025 .zsh_sessions\n-rw-r--r--@ 1 lukas staff 597 11 Apr 18:44 .zshrc\ndrwx------@ 9 lukas staff 288 9 Apr 20:08 Applications\ndrwxr-xr-x@ 2 lukas staff 64 22 Oct 09:35 CascadeProjects\ndrwxr-xr-x 4 lukas staff 128 27 Oct 09:24 DEV\ndrwx------@ 10 lukas staff 320 11 Apr 18:31 Desktop\ndrwx------@ 7 lukas staff 224 26 Mar 14:40 Documents\ndrwx------@ 41 lukas staff 1312 8 Apr 20:46 Downloads\ndrwxr-xr-x@ 4 lukas staff 128 17 Mar 20:27 Keychron_Screen\ndrwx------@ 112 lukas staff 3584 2 Dec 09:19 Library\ndrwx------ 7 lukas staff 224 12 Feb 2024 Movies\ndrwx------+ 5 lukas staff 160 25 Sep 2023 Music\ndrwx------+ 9 lukas staff 288 25 Sep 2023 Pictures\ndrwx------ 3 lukas staff 96 8 Nov 2021 Postman\ndrwx------+ 4 lukas staff 128 28 Oct 2021 Public\n-rw-r--r--@ 1 lukas staff 3950 15 Dec 09:16 Untitled 4.spf\ndrwx------ 4 lukas staff 128 2 Jul 2023 Users\ndrwx------ 3 lukas staff 96 30 Sep 2022 iCloud Drive (Archive)\ndrwx------ 16 lukas staff 512 3 Nov 11:35 jiminny\ndrwxr-xr-x 3 lukas staff 96 20 Mar 18:47 node_modules\ndrwxr-xr-x 4 lukas staff 128 21 Oct 18:15 raycast\n-rw-r--r-- 1 lukas staff 0 1 Mar 14:26 response.bin\n-rwxr-xr-x 1 lukas staff 3824 11 Apr 15:16 screenpipe-day.sh\n-rw-r--r-- 1 lukas staff 86 20 Mar 18:47 yarn.lock\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano .zshrc \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ echo \"alias sp-status='curl -s http://localhost:3030/health | jq \\\"{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}\\\"'\" >> ~/.zprofile\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ source ~/.zprofile\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-status \n{\n \"status\": \"healthy\",\n \"frame_status\": \"ok\",\n \"audio_status\": \"disabled\",\n \"last_frame\": \"2026-04-11T18:47:17+03:00\",\n \"uptime\": 345.971219541,\n \"fps\": 0.0982740704417778,\n \"frames\": 34\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop\nscreenpipe stopped\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start \n[1] 41216\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-11T18:54:13.170097Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T18:54:13.812964Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T18:54:13.819889Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T18:54:13.819889Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T18:54:13.820291Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T18:54:13.820220Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T18:54:13.820450Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T18:54:13.820896Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T18:54:13.820856Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T18:54:13.821123Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T18:54:13.821801Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T18:54:13.821972Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T18:54:13.822128Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T18:54:13.822942Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T18:54:13.822962Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T18:54:13.824479Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T18:54:13.824829Z INFO screenpipe: starting UI event capture\n2026-04-11T18:54:13.828568Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T18:54:13.829646Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T18:54:13.838998Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T18:54:13.852999Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T18:54:13.853108Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 15:54:13.853107 UTC to 2026-04-11 15:54:13.853107 UTC)\n2026-04-11T18:54:13.853121Z INFO screenpipe_engine::ui_recorder: UI recording session started: 13f9ef4b-a7db-47ce-844f-778b4b926db5\n2026-04-11T18:54:13.854048Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T18:54:13.859344Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T18:54:13.864448Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T18:54:14.006638Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 878 frame entries, coverage from 2026-04-10 15:54:13.853107 UTC\n2026-04-11T18:54:14.161101Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T18:54:14.161134Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T18:54:14.161145Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T18:54:14.161153Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T18:54:14.161204Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T18:54:14.958802Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T18:54:15.096012Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1402, dur=52ms\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T18:54:18.859011Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T18:54:18.859467Z INFO screenpipe: local retention auto-enabled (14 days)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop\nscreenpipe stopped\n[1] + terminated npx screenpipe@latest record --disable-audio \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT DISTINCT window_name\nFROM frames\nWHERE app_name IN ('Safari', 'Firefox', 'Arc', 'Chrome')\nAND window_name IS NOT NULL\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 13 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \nORDER BY window_name;\"\nDXP4800PLUS-B5F8\nDXP4800PLUS-B5F8 — Personal\nDenník N - Nezávislý denník — Personal\nEdit profile — Personal\nLocation Logger\nLoď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal\nMaďarské voľby – Denník N — Personal\nPersonal — Mozilla Firefox\nPicture-in-Picture\nProblem loading page — Personal\nScreenpipe Dashboard — Personal\nSettings — Personal\nSign in – Google accounts — Personal\nTailscale — Personal\nUGREEN NAS — Personal\nVimium Options — Personal\nVimium – Get this Extension for 🦊\u0000 Firefox (en-US) — Personal\nfirefox sidebar - Google Search — Personal\ntilscale admin panel - Google Search — Personal\nOrder Room Service • HBO Max\nShameless • HBO Max\nShameless • HBO Max — Personal\nSimple Pleasures • HBO Max — Personal\nČasť 2 • HBO Max — Personal\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/config.json \n{\n \"disable_audio\": true,\n \"monitor_ids\": [\"Display 1_1440x900_0,0\", \"Display 2_3008x1253_-813,-1253\"],\n \"ignored_windows\": [\n \"1Password\",\n \"Keychain Access\",\n \"Bitwarden\",\n \"System Preferences\",\n \"System Settings\",\n \"zoom.us\",\n \"HBO Max\",\n ]\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe && sleep 2 && npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record \ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-11T19:00:06.546722Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T19:00:07.267955Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T19:00:07.269566Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T19:00:07.269564Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T19:00:07.269921Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T19:00:07.470439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T19:00:07.470481Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T19:00:07.470420Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T19:00:07.470877Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T19:00:07.471071Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T19:00:07.471748Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T19:00:07.471948Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T19:00:07.472085Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T19:00:07.472295Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T19:00:07.472315Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T19:00:07.473167Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T19:00:07.473787Z INFO screenpipe: starting UI event capture\n2026-04-11T19:00:07.476515Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T19:00:07.485630Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T19:00:07.489867Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T19:00:07.503670Z INFO screenpipe_engine::ui_recorder: UI recording session started: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2\n2026-04-11T19:00:07.503881Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T19:00:07.503967Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 16:00:07.503966 UTC to 2026-04-11 16:00:07.503966 UTC)\n2026-04-11T19:00:07.504283Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T19:00:07.509408Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T19:00:07.514386Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T19:00:07.659978Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 879 frame entries, coverage from 2026-04-10 16:00:07.503966 UTC\n2026-04-11T19:00:07.820721Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T19:00:07.820747Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T19:00:07.820758Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T19:00:07.820766Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T19:00:07.820805Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T19:00:08.565404Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T19:00:08.709384Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1403, dur=60ms\n2026-04-11T19:00:12.507772Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T19:00:12.508217Z INFO screenpipe: local retention auto-enabled (14 days)\n^C2026-04-11T19:00:14.475068Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-11T19:00:14.476266Z INFO screenpipe: stopping UI event capture\n2026-04-11T19:00:14.476480Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-11T19:00:14.476552Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-11T19:00:14.476564Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-11T19:00:14.476595Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-11T19:00:14.477268Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n\n2026-04-11T19:00:14.481053Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s) \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T19:00:14.624523Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2\n2026-04-11T19:00:14.624669Z INFO screenpipe: shutdown complete\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-11T19:00:31.694964Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T19:00:32.442217Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T19:00:32.443687Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T19:00:32.443694Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T19:00:32.444120Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T19:00:32.662907Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T19:00:32.662887Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T19:00:32.662980Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T19:00:32.663355Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T19:00:32.663550Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T19:00:32.664216Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T19:00:32.664395Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T19:00:32.664552Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T19:00:32.665488Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T19:00:32.665515Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T19:00:32.667186Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T19:00:32.667286Z INFO screenpipe: starting UI event capture\n2026-04-11T19:00:32.670076Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T19:00:32.672989Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T19:00:32.681327Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T19:00:32.695244Z INFO screenpipe_engine::ui_recorder: UI recording session started: 47668625-ff04-42f8-aa0d-f468ff11f0ff\n2026-04-11T19:00:32.695238Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T19:00:32.695298Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 16:00:32.695296 UTC to 2026-04-11 16:00:32.695296 UTC)\n2026-04-11T19:00:32.695769Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T19:00:32.701263Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T19:00:32.705041Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T19:00:32.852998Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 880 frame entries, coverage from 2026-04-10 16:00:32.695296 UTC\n2026-04-11T19:00:32.998691Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T19:00:32.998717Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T19:00:32.998728Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T19:00:32.998739Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T19:00:32.998790Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T19:00:33.736410Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T19:00:34.302357Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1404, dur=507ms\n2026-04-11T19:00:37.699366Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T19:00:37.699830Z INFO screenpipe: local retention auto-enabled (14 days)\n^C2026-04-11T19:00:42.463354Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-11T19:00:42.463443Z INFO screenpipe: stopping UI event capture\n2026-04-11T19:00:42.463473Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-11T19:00:42.463494Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-11T19:00:42.463501Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-11T19:00:42.463509Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-11T19:00:42.463516Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n\n2026-04-11T19:00:42.466209Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s) \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T19:00:42.589528Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 47668625-ff04-42f8-aa0d-f468ff11f0ff\n2026-04-11T19:00:42.589635Z INFO screenpipe: shutdown complete\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start\n[1] 42748\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-11T20:26:04.829554Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T20:26:05.341444Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T20:26:05.345218Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T20:26:05.345229Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T20:26:05.345415Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T20:26:05.345428Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T20:26:05.345477Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T20:26:05.345864Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T20:26:05.346065Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T20:26:05.346166Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T20:26:05.346730Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T20:26:05.346883Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T20:26:05.346990Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T20:26:05.347093Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T20:26:05.347108Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T20:26:05.348501Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T20:26:05.348754Z INFO screenpipe: starting UI event capture\n2026-04-11T20:26:05.353656Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T20:26:05.358540Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T20:26:05.363864Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T20:26:05.378325Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T20:26:05.378392Z INFO screenpipe_engine::ui_recorder: UI recording session started: 5b17c7fe-3811-4788-a81b-6b04773808f1\n2026-04-11T20:26:05.378564Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 17:26:05.378561 UTC to 2026-04-11 17:26:05.378561 UTC)\n2026-04-11T20:26:05.379467Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T20:26:05.384798Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T20:26:05.389960Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T20:26:05.528107Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 883 frame entries, coverage from 2026-04-10 17:26:05.378561 UTC\n2026-04-11T20:26:05.683177Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T20:26:05.683293Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T20:26:05.683303Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T20:26:05.683311Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T20:26:05.683359Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T20:26:06.488545Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T20:26:07.067446Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1407, dur=537ms\n2026-04-11T20:26:08.752985Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-9215443531147982391, trigger=visual_change)\n2026-04-11T20:26:10.383131Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T20:26:10.383762Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-11T20:26:38.337011Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-9215443531147982391, trigger=click)\n2026-04-11T20:26:55.992688Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5606118560581161138, trigger=click)\n2026-04-11T20:26:57.331771Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5606118560581161138, trigger=click)\n2026-04-11T20:27:05.408691Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 61 eligible frames\n2026-04-11T20:27:09.664908Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 61 frames, 9.4MB → 3.3MB (2.8x), 61 JPEGs deleted\n2026-04-11T20:31:05.374969Z INFO screenpipe_engine::server: api_usage_5min: 1 requests\n2026-04-11T20:31:40.380610Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-28T17:31:40.380594+00:00 (14d retention)\n2026-04-11T20:32:09.668412Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 1 eligible frames\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000ls -lah ~/.screenpipe/data/data/ | head -20\ndu -sh ~/.screenpipe/data/data/*\ntotal 24\ndrwxr-xr-x 5 lukas staff 160B 11 Apr 14:52 .\ndrwxr-xr-x 5 lukas staff 160B 11 Apr 15:03 ..\n-rw-r--r--@ 1 lukas staff 8.0K 9 Apr 20:43 .DS_Store\ndrwxr-xr-x 14 lukas staff 448B 11 Apr 14:53 2026-04-09\ndrwxr-xr-x 98 lukas staff 3.1K 11 Apr 20:32 2026-04-11\n 39M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/data/data/2026-04-09\n 60M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/data/data/2026-04-11\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ | head -20 \ndu -sh ~/.screenpipe/data/data/*","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.12291667,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.12708333,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.24583334,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.25,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.36875,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.37291667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.49166667,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49583334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.6145833,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.61875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7375,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.7416667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.86041665,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8645833,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
|
-1320948411946331958
|
2983095231265307744
|
idle
|
accessibility
|
NULL
|
scp: dest open "/volume1/screenpipe/db.sqlite& scp: dest open "/volume1/screenpipe/db.sqlite": No such file or directory
scp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@[IP_ADDRESS]:/volume1/screenpipe/
scp: dest open "/volume1/screenpipe/": No such file or directory
scp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 32
drwxr-xr-x 4 root wheel 128 11 Apr 16:35 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $clear
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: touch:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: bad pattern: unmount(/Volumes/screenpipe):
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: touch:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: cp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: scp:
zsh: command not found: scp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: scp:
zsh: command not found: scp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: total
zsh: command not found: drwxr-xr-x
zsh: command not found: drwxr-xr-x
zsh: file exists: /
zsh: command not found: drwx------
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@[IP_ADDRESS]:/volume1/screenpipe/db.sqlite
scp: dest open "/volume1/screenpipe/db.sqlite": No such file or directory
scp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls
Macintosh HD screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 32
drwxr-xr-x 4 root wheel 128 11 Apr 16:35 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/db.sqlite
cp: /Volumes/Test/screenpipe/db.sqlite: No such file or directory
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/
cp: directory /Volumes/Test/screenpipe does not exist
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 96
drwxr-xr-x 6 root wheel 192 11 Apr 16:45 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
drwx------ 1 lukas staff 16384 10 Aug 2025 Apps
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 15:46 Test
drwx------ 1 lukas staff 16384 11 Apr 16:47 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/pipes/ /Volumes/Test/screenpipe/pipes/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/data/data/ /Volumes/Test/screenpipe/data/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sed 's|$HOME/.screenpipe/db.sqlite|/volume1/Test/screenpipe/db.sqlite|g' ~/screenpipe-day.sh > /volume1/Test/screenpipe/screenpipe-day.sh
zsh: no such file or directory: /volume1/Test/screenpipe/screenpipe-day.sh
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cat ~/screenpipe-day.sh
#!/bin/zsh
DB="$HOME/.screenpipe/db.sqlite"
DATE=${1:-$(date -v-1d '+%Y-%m-%d')}
echo "═══════════════════════════════════════"
echo " SCREENPIPE REPORT — $DATE"
echo "═══════════════════════════════════════"
echo "\n📱 APP USAGE (frames + estimated time)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-30s %5d frames ~%5.1f min', app_name, COUNT(*), ROUND(COUNT(*) * 4.5 / 60.0, 1))
FROM frames
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY app_name ORDER BY COUNT(*) DESC;"
echo "\n⌨️ ACTIVITY TYPE PER APP (clicks / keys / switches)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-25s clicks:%-5d keys:%-5d switches:%-4d',
app_name,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END),
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END),
SUM(CASE WHEN event_type='app_switch' THEN 1 ELSE 0 END))
FROM ui_events
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY app_name ORDER BY COUNT(*) DESC;"
echo "\n🌐 BROWSER URLS VISITED"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%4d frames %s', COUNT(*), browser_url)
FROM frames
WHERE date(timestamp) = '$DATE' AND browser_url IS NOT NULL
GROUP BY browser_url ORDER BY COUNT(*) DESC LIMIT 20;"
echo "\n🪟 WINDOW TITLES (top 20)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-20s %3d %s', app_name, COUNT(*), SUBSTR(window_name,1,60))
FROM frames
WHERE date(timestamp) = '$DATE' AND window_name IS NOT NULL AND app_name IS NOT NULL
GROUP BY app_name, window_name ORDER BY COUNT(*) DESC LIMIT 20;"
echo "\n🕐 HOURLY TIMELINE"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%s %-20s %3d frames', strftime('%H:00', timestamp), app_name, COUNT(*))
FROM frames
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY strftime('%H', timestamp), app_name
ORDER BY strftime('%H', timestamp), COUNT(*) DESC;"
echo "\n📋 CLIPBOARD ACTIVITY"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-20s %s', app_name, SUBSTR(text_content, 1, 80))
FROM ui_events
WHERE date(timestamp) = '$DATE' AND event_type = 'clipboard' AND text_content IS NOT NULL
ORDER BY timestamp LIMIT 20;"
echo "\n💬 OCR TEXT SAMPLES PER APP"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-15s %s', o.app_name, SUBSTR(o.text, 1, 80))
FROM ocr_text o
JOIN frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$DATE' AND o.app_name IS NOT NULL AND o.text != ''
GROUP BY o.app_name
ORDER BY o.app_name LIMIT 15;"
echo "\n🔢 TOTALS"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT
'Frames: ' || COUNT(*) FROM frames WHERE date(timestamp) = '$DATE';
"
sqlite3 "$DB" "
SELECT 'UI Events: ' || COUNT(*) FROM ui_events WHERE date(timestamp) = '$DATE';
"
sqlite3 "$DB" "
SELECT 'OCR texts: ' || COUNT(*) FROM ocr_text o JOIN frames f ON o.frame_id = f.id WHERE date(f.timestamp) = '$DATE';
"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST [URL_WITH_CREDENTIALS] /Volumes $ curl -X POST [URL_WITH_CREDENTIALS] /Volumes $ curl [URL_WITH_CREDENTIALS] /Volumes $ curl -s [URL_WITH_CREDENTIALS] /Volumes $ echo "alias sp-status='curl -s [URL_WITH_CREDENTIALS] /Volumes $ sp-status
zsh: command not found: sp-status
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ source ~/.zprofile
Poetry could not find a pyproject.toml file in /Volumes or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status
zsh: command not found: sp-status
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ zp
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls
Apps Macintosh HD Test screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cd
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ll
total 1272
drwx------+ 89 lukas staff 2848 11 Apr 18:38 .
drwxr-xr-x 5 root admin 160 23 Aug 2024 ..
-r-------- 1 lukas staff 7 18 Nov 2021 .CFUserTextEncoding
-rw-r--r--@ 1 lukas staff 22532 11 Apr 16:46 .DS_Store
drwx------+ 2 lukas staff 64 11 Apr 11:15 .Trash
drwx------ 5 lukas staff 160 1 Nov 2021 .aws
-rw-r--r-- 1 lukas staff 341470 29 Sep 2022 .babel.json
-rw-------@ 1 lukas staff 388 25 Jul 2025 .bash_history
-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .bashrc
drwxr-xr-x 5 lukas staff 160 11 Mar 2023 .bito
drwx------@ 6 lukas staff 192 9 Apr 19:53 .cache
drwxr-xr-x 20 lukas staff 640 9 Apr 21:21 .claude
-rw------- 1 lukas staff 24973 9 Apr 21:24 .claude.json
drwxr-xr-x@ 20 lukas staff 640 12 Mar 09:12 .codeium
drwxrwxrwx@ 3 lukas staff 96 2 Mar 2023 .composer
drwx------ 16 lukas staff 512 21 May 2025 .config
drwxr-xr-x 15 lukas staff 480 23 Dec 2024 .continue
drwx------@ 3 lukas staff 96 16 Feb 19:13 .copilot
drwxr-xr-x@ 5 lukas staff 160 9 Apr 2025 .cursor
drwxr-xr-x@ 5 lukas staff 160 17 Aug 2024 .cursor-tutor
drwxr-xr-x 3 lukas staff 96 8 Sep 2024 .daytona
drwxr-xr-x@ 4 lukas staff 128 18 Feb 10:52 .devdb
drwx------ 24 lukas staff 768 9 Apr 18:24 .docker
drwx------ 15 lukas staff 480 6 Jun 2023 .dropbox
drwxr-xr-x@ 3 lukas staff 96 20 Nov 2022 .fig.dotfiles.bak
-rw-r--r-- 1 lukas staff 138 5 Mar 2022 .gauth
-rw-r--r-- 1 lukas staff 220 25 Nov 2021 .gitconfig
-rw-r--r-- 1 lukas staff 12288 25 Nov 2021 .gitconfig.swp
drwx------ 5 lukas staff 160 18 Nov 2021 .hammerspoon
drwxr-xr-x 3 lukas staff 96 21 Mar 2025 .idlerc
-rw------- 1 lukas staff 20 31 Mar 18:32 .lesshst
drwx------ 5 lukas staff 160 23 Dec 2024 .local
-rw------- 1 lukas staff 204 16 Mar 2024 .netrc
drwx------ 3 lukas staff 96 1 Nov 2021 .node-gyp
-rw------- 1 lukas staff 4 6 Feb 2024 .node_repl_history
-rw-r--r-- 1 lukas staff 17 24 Dec 2023 .notion-enhancer
drwxr-xr-x 4 lukas staff 128 12 Jul 2024 .notion-py
drwx------ 9 lukas staff 288 11 Apr 18:41 .npm
-rw------- 1 lukas staff 74 20 May 2024 .npmrc
drwx------ 32 lukas staff 1024 25 Jul 2025 .nvm
drwxr-xr-x 4 lukas staff 128 5 Aug 2023 .postman
-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .profile
-rw-------@ 1 lukas staff 3153 21 Mar 2025 .python_history
drwx------ 2 lukas staff 64 15 Nov 2021 .quicktype-vscode
drwxr-xr-x@ 8 lukas staff 256 16 Feb 08:48 .redis-insight
drwxr-xr-x 10 lukas staff 320 11 Apr 14:52 .screenpipe
UW PICO 5.09 New Buffer
[ Read 11 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
drwxr-xr-x 4 lukas staff 128 4 Feb 09:35 .sonarlint
drwx------ 15 lukas staff 480 8 Aug 2025 .ssh
drwxr-xr-x@ 3 lukas staff 96 15 Aug 2025 .streamlit
drwx------ 6 lukas staff 192 17 Oct 2022 .swiftpm
-rw------- 1 lukas staff 12183 8 Apr 19:14 .viminfo
drwx------ 5 lukas staff 160 19 Jun 2023 .vscode
drwxr-xr-x@ 3 lukas staff 96 20 Jan 2025 .warp
drwxr-xr-x 4 lukas staff 128 29 Apr 2023 .wdm
drwxr-xr-x@ 5 lukas staff 160 26 Jan 13:03 .windsurf
drwxr-xr-x 4 lukas staff 128 24 Mar 12:03 .yarn
-rw-r--r-- 1 lukas staff 116 30 Mar 10:12 .yarnrc
-rw-r--r--@ 1 lukas staff 49518 6 Apr 14:31 .zcompdump
-rw-r--r--@ 1 lukas staff 46758 2 Nov 20:34 .zcompdump.Lukas-Kovaliks-MacBook-Pro-Jiminny.23381
-rw-r--r--@ 1 lukas staff 5641 9 Apr 20:30 .zprofile
-rw-r--r-- 1 lukas staff 1468 8 Apr 2022 .zprofile-copy
-rw-r--r--@ 1 lukas staff 2900 15 Mar 2023 .zprofile.pysave
-rw------- 1 lukas staff 1731 29 Jun 2022 .zprofile.save
-rw-r--r-- 1 lukas staff 1569 8 Apr 2022 .zprofilees
UW PICO 5.09 New Buffer
[ Read 13 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
-rw------- 1 lukas staff 28812 11 Apr 18:38 .zsh_history
drwx------ 9 lukas staff 288 6 May 2025 .zsh_sessions
-rw-r--r--@ 1 lukas staff 597 11 Apr 18:44 .zshrc
drwx------@ 9 lukas staff 288 9 Apr 20:08 Applications
drwxr-xr-x@ 2 lukas staff 64 22 Oct 09:35 CascadeProjects
drwxr-xr-x 4 lukas staff 128 27 Oct 09:24 DEV
drwx------@ 10 lukas staff 320 11 Apr 18:31 Desktop
drwx------@ 7 lukas staff 224 26 Mar 14:40 Documents
drwx------@ 41 lukas staff 1312 8 Apr 20:46 Downloads
drwxr-xr-x@ 4 lukas staff 128 17 Mar 20:27 Keychron_Screen
drwx------@ 112 lukas staff 3584 2 Dec 09:19 Library
drwx------ 7 lukas staff 224 12 Feb 2024 Movies
drwx------+ 5 lukas staff 160 25 Sep 2023 Music
drwx------+ 9 lukas staff 288 25 Sep 2023 Pictures
drwx------ 3 lukas staff 96 8 Nov 2021 Postman
drwx------+ 4 lukas staff 128 28 Oct 2021 Public
-rw-r--r--@ 1 lukas staff 3950 15 Dec 09:16 Untitled 4.spf
drwx------ 4 lukas staff 128 2 Jul 2023 Users
drwx------ 3 lukas staff 96 30 Sep 2022 iCloud Drive (Archive)
drwx------ 16 lukas staff 512 3 Nov 11:35 jiminny
drwxr-xr-x 3 lukas staff 96 20 Mar 18:47 node_modules
drwxr-xr-x 4 lukas staff 128 21 Oct 18:15 raycast
-rw-r--r-- 1 lukas staff 0 1 Mar 14:26 response.bin
-rwxr-xr-x 1 lukas staff 3824 11 Apr 15:16 screenpipe-day.sh
-rw-r--r-- 1 lukas staff 86 20 Mar 18:47 yarn.lock
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano .zshrc
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ echo "alias sp-status='curl -s [URL_WITH_CREDENTIALS] ~ $ source ~/.zprofile
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-status
{
"status": "healthy",
"frame_status": "ok",
"audio_status": "disabled",
"last_frame": "2026-04-11T18:47:17+03:00",
"uptime": 345.971219541,
"fps": 0.[CREDIT_CARD],
"frames": 34
}
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop
screenpipe stopped
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start
[1] 41216
detected hardware tier: Mid
checking permissions...
screen recording: ok
accessibility: ok
2026-04-11T18:54:13.170097Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T18:54:13.812964Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T18:54:13.819889Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T18:54:13.819889Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T18:54:13.820291Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T18:54:13.820220Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T18:54:13.820450Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T18:54:13.820896Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T18:54:13.820856Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T18:54:13.821123Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T18:54:13.821801Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T18:54:13.821972Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T18:54:13.822128Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T18:54:13.822942Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T18:54:13.822962Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ true │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ disabled │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T18:54:18.859011Z INFO screenpipe_engine::retention: retention: initialized with 14d retention
2026-04-11T18:54:18.859467Z INFO screenpipe: local retention auto-enabled (14 days)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop
screenpipe stopped
[1] + terminated npx screenpipe@latest record --disable-audio
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT DISTINCT window_name
FROM frames
WHERE app_name IN ('Safari', 'Firefox', 'Arc', 'Chrome')
AND window_name IS NOT NULL
UW PICO 5.09 New Buffer
[ Read 13 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
ORDER BY window_name;"
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8 — Personal
Denník N - Nezávislý denník — Personal
Edit profile — Personal
Location Logger
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal
Maďarské voľby – Denník N — Personal
Personal — Mozilla Firefox
Picture-in-Picture
Problem loading page — Personal
Screenpipe Dashboard — Personal
Settings — Personal
Sign in – Google accounts — Personal
Tailscale — Personal
UGREEN NAS — Personal
Vimium Options — Personal
Vimium – Get this Extension for 🦊 Firefox (en-US) — Personal
firefox sidebar - Google Search — Personal
tilscale admin panel - Google Search — Personal
Order Room Service • HBO Max
Shameless • HBO Max
Shameless • HBO Max — Personal
Simple Pleasures • HBO Max — Personal
Časť 2 • HBO Max — Personal
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/config.json
{
"disable_audio": true,
"monitor_ids": ["Display 1_1440x900_0,0", "Display 2_3008x1253_-813,-1253"],
"ignored_windows": [
"1Password",
"Keychain Access",
"Bitwarden",
"System Preferences",
"System Settings",
"zoom.us",
"HBO Max",
]
}
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe && sleep 2 && npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-11T19:00:06.546722Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T19:00:07.267955Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T19:00:07.269566Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T19:00:07.269564Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T19:00:07.269921Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T19:00:07.470439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T19:00:07.470481Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T19:00:07.470420Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T19:00:07.470877Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T19:00:07.471071Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T19:00:07.471748Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T19:00:07.471948Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T19:00:07.472085Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T19:00:07.472295Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T19:00:07.472315Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T19:00:14.624523Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2
2026-04-11T19:00:14.624669Z INFO screenpipe: shutdown complete
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-11T19:00:31.694964Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T19:00:32.442217Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T19:00:32.443687Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T19:00:32.443694Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T19:00:32.444120Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T19:00:32.662907Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T19:00:32.662887Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T19:00:32.662980Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T19:00:32.663355Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T19:00:32.663550Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T19:00:32.664216Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T19:00:32.664395Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T19:00:32.664552Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T19:00:32.665488Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T19:00:32.665515Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T19:00:42.589528Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 47668625-ff04-42f8-aa0d-f468ff11f0ff
2026-04-11T19:00:42.589635Z INFO screenpipe: shutdown complete
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start
[1] 42748
detected hardware tier: Mid
checking permissions...
screen recording: ok
accessibility: ok
2026-04-11T20:26:04.829554Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T20:26:05.341444Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T20:26:05.345218Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T20:26:05.345229Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T20:26:05.345415Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T20:26:05.345428Z INFO screenpipe_engine:...
|
1482
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|
1484
|
33
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6
|
2026-04-11T17:33:55.264745+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928835264_m1.jpg...
|
iTerm2
|
-zsh
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
zsh: command not found: lukas@Lukas-Kovaliks-MacBo zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: touch:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: bad pattern: unmount(/Volumes/screenpipe):
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: touch:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: cp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: scp:
zsh: command not found: scp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: scp:
zsh: command not found: scp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: total
zsh: command not found: drwxr-xr-x
zsh: command not found: drwxr-xr-x
zsh: file exists: /
zsh: command not found: drwx------
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@[IP_ADDRESS]:/volume1/screenpipe/db.sqlite
scp: dest open "/volume1/screenpipe/db.sqlite": No such file or directory
scp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls
Macintosh HD screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 32
drwxr-xr-x 4 root wheel 128 11 Apr 16:35 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/db.sqlite
cp: /Volumes/Test/screenpipe/db.sqlite: No such file or directory
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/
cp: directory /Volumes/Test/screenpipe does not exist
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 96
drwxr-xr-x 6 root wheel 192 11 Apr 16:45 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
drwx------ 1 lukas staff 16384 10 Aug 2025 Apps
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 15:46 Test
drwx------ 1 lukas staff 16384 11 Apr 16:47 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/pipes/ /Volumes/Test/screenpipe/pipes/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/data/data/ /Volumes/Test/screenpipe/data/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sed 's|$HOME/.screenpipe/db.sqlite|/volume1/Test/screenpipe/db.sqlite|g' ~/screenpipe-day.sh > /volume1/Test/screenpipe/screenpipe-day.sh
zsh: no such file or directory: /volume1/Test/screenpipe/screenpipe-day.sh
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cat ~/screenpipe-day.sh
#!/bin/zsh
DB="$HOME/.screenpipe/db.sqlite"
DATE=${1:-$(date -v-1d '+%Y-%m-%d')}
echo "═══════════════════════════════════════"
echo " SCREENPIPE REPORT — $DATE"
echo "═══════════════════════════════════════"
echo "\n📱 APP USAGE (frames + estimated time)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-30s %5d frames ~%5.1f min', app_name, COUNT(*), ROUND(COUNT(*) * 4.5 / 60.0, 1))
FROM frames
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY app_name ORDER BY COUNT(*) DESC;"
echo "\n⌨️ ACTIVITY TYPE PER APP (clicks / keys / switches)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-25s clicks:%-5d keys:%-5d switches:%-4d',
app_name,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END),
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END),
SUM(CASE WHEN event_type='app_switch' THEN 1 ELSE 0 END))
FROM ui_events
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY app_name ORDER BY COUNT(*) DESC;"
echo "\n🌐 BROWSER URLS VISITED"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%4d frames %s', COUNT(*), browser_url)
FROM frames
WHERE date(timestamp) = '$DATE' AND browser_url IS NOT NULL
GROUP BY browser_url ORDER BY COUNT(*) DESC LIMIT 20;"
echo "\n🪟 WINDOW TITLES (top 20)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-20s %3d %s', app_name, COUNT(*), SUBSTR(window_name,1,60))
FROM frames
WHERE date(timestamp) = '$DATE' AND window_name IS NOT NULL AND app_name IS NOT NULL
GROUP BY app_name, window_name ORDER BY COUNT(*) DESC LIMIT 20;"
echo "\n🕐 HOURLY TIMELINE"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%s %-20s %3d frames', strftime('%H:00', timestamp), app_name, COUNT(*))
FROM frames
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY strftime('%H', timestamp), app_name
ORDER BY strftime('%H', timestamp), COUNT(*) DESC;"
echo "\n📋 CLIPBOARD ACTIVITY"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-20s %s', app_name, SUBSTR(text_content, 1, 80))
FROM ui_events
WHERE date(timestamp) = '$DATE' AND event_type = 'clipboard' AND text_content IS NOT NULL
ORDER BY timestamp LIMIT 20;"
echo "\n💬 OCR TEXT SAMPLES PER APP"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-15s %s', o.app_name, SUBSTR(o.text, 1, 80))
FROM ocr_text o
JOIN frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$DATE' AND o.app_name IS NOT NULL AND o.text != ''
GROUP BY o.app_name
ORDER BY o.app_name LIMIT 15;"
echo "\n🔢 TOTALS"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT
'Frames: ' || COUNT(*) FROM frames WHERE date(timestamp) = '$DATE';
"
sqlite3 "$DB" "
SELECT 'UI Events: ' || COUNT(*) FROM ui_events WHERE date(timestamp) = '$DATE';
"
sqlite3 "$DB" "
SELECT 'OCR texts: ' || COUNT(*) FROM ocr_text o JOIN frames f ON o.frame_id = f.id WHERE date(f.timestamp) = '$DATE';
"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST [URL_WITH_CREDENTIALS] /Volumes $ curl -X POST [URL_WITH_CREDENTIALS] /Volumes $ curl [URL_WITH_CREDENTIALS] /Volumes $ curl -s [URL_WITH_CREDENTIALS] /Volumes $ echo "alias sp-status='curl -s [URL_WITH_CREDENTIALS] /Volumes $ sp-status
zsh: command not found: sp-status
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ source ~/.zprofile
Poetry could not find a pyproject.toml file in /Volumes or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status
zsh: command not found: sp-status
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ zp
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls
Apps Macintosh HD Test screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cd
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ll
total 1272
drwx------+ 89 lukas staff 2848 11 Apr 18:38 .
drwxr-xr-x 5 root admin 160 23 Aug 2024 ..
-r-------- 1 lukas staff 7 18 Nov 2021 .CFUserTextEncoding
-rw-r--r--@ 1 lukas staff 22532 11 Apr 16:46 .DS_Store
drwx------+ 2 lukas staff 64 11 Apr 11:15 .Trash
drwx------ 5 lukas staff 160 1 Nov 2021 .aws
-rw-r--r-- 1 lukas staff 341470 29 Sep 2022 .babel.json
-rw-------@ 1 lukas staff 388 25 Jul 2025 .bash_history
-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .bashrc
drwxr-xr-x 5 lukas staff 160 11 Mar 2023 .bito
drwx------@ 6 lukas staff 192 9 Apr 19:53 .cache
drwxr-xr-x 20 lukas staff 640 9 Apr 21:21 .claude
-rw------- 1 lukas staff 24973 9 Apr 21:24 .claude.json
drwxr-xr-x@ 20 lukas staff 640 12 Mar 09:12 .codeium
drwxrwxrwx@ 3 lukas staff 96 2 Mar 2023 .composer
drwx------ 16 lukas staff 512 21 May 2025 .config
drwxr-xr-x 15 lukas staff 480 23 Dec 2024 .continue
drwx------@ 3 lukas staff 96 16 Feb 19:13 .copilot
drwxr-xr-x@ 5 lukas staff 160 9 Apr 2025 .cursor
drwxr-xr-x@ 5 lukas staff 160 17 Aug 2024 .cursor-tutor
drwxr-xr-x 3 lukas staff 96 8 Sep 2024 .daytona
drwxr-xr-x@ 4 lukas staff 128 18 Feb 10:52 .devdb
drwx------ 24 lukas staff 768 9 Apr 18:24 .docker
drwx------ 15 lukas staff 480 6 Jun 2023 .dropbox
drwxr-xr-x@ 3 lukas staff 96 20 Nov 2022 .fig.dotfiles.bak
-rw-r--r-- 1 lukas staff 138 5 Mar 2022 .gauth
-rw-r--r-- 1 lukas staff 220 25 Nov 2021 .gitconfig
-rw-r--r-- 1 lukas staff 12288 25 Nov 2021 .gitconfig.swp
drwx------ 5 lukas staff 160 18 Nov 2021 .hammerspoon
drwxr-xr-x 3 lukas staff 96 21 Mar 2025 .idlerc
-rw------- 1 lukas staff 20 31 Mar 18:32 .lesshst
drwx------ 5 lukas staff 160 23 Dec 2024 .local
-rw------- 1 lukas staff 204 16 Mar 2024 .netrc
drwx------ 3 lukas staff 96 1 Nov 2021 .node-gyp
-rw------- 1 lukas staff 4 6 Feb 2024 .node_repl_history
-rw-r--r-- 1 lukas staff 17 24 Dec 2023 .notion-enhancer
drwxr-xr-x 4 lukas staff 128 12 Jul 2024 .notion-py
drwx------ 9 lukas staff 288 11 Apr 18:41 .npm
-rw------- 1 lukas staff 74 20 May 2024 .npmrc
drwx------ 32 lukas staff 1024 25 Jul 2025 .nvm
drwxr-xr-x 4 lukas staff 128 5 Aug 2023 .postman
-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .profile
-rw-------@ 1 lukas staff 3153 21 Mar 2025 .python_history
drwx------ 2 lukas staff 64 15 Nov 2021 .quicktype-vscode
drwxr-xr-x@ 8 lukas staff 256 16 Feb 08:48 .redis-insight
drwxr-xr-x 10 lukas staff 320 11 Apr 14:52 .screenpipe
UW PICO 5.09 New Buffer
[ Read 11 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
drwxr-xr-x 4 lukas staff 128 4 Feb 09:35 .sonarlint
drwx------ 15 lukas staff 480 8 Aug 2025 .ssh
drwxr-xr-x@ 3 lukas staff 96 15 Aug 2025 .streamlit
drwx------ 6 lukas staff 192 17 Oct 2022 .swiftpm
-rw------- 1 lukas staff 12183 8 Apr 19:14 .viminfo
drwx------ 5 lukas staff 160 19 Jun 2023 .vscode
drwxr-xr-x@ 3 lukas staff 96 20 Jan 2025 .warp
drwxr-xr-x 4 lukas staff 128 29 Apr 2023 .wdm
drwxr-xr-x@ 5 lukas staff 160 26 Jan 13:03 .windsurf
drwxr-xr-x 4 lukas staff 128 24 Mar 12:03 .yarn
-rw-r--r-- 1 lukas staff 116 30 Mar 10:12 .yarnrc
-rw-r--r--@ 1 lukas staff 49518 6 Apr 14:31 .zcompdump
-rw-r--r--@ 1 lukas staff 46758 2 Nov 20:34 .zcompdump.Lukas-Kovaliks-MacBook-Pro-Jiminny.23381
-rw-r--r--@ 1 lukas staff 5641 9 Apr 20:30 .zprofile
-rw-r--r-- 1 lukas staff 1468 8 Apr 2022 .zprofile-copy
-rw-r--r--@ 1 lukas staff 2900 15 Mar 2023 .zprofile.pysave
-rw------- 1 lukas staff 1731 29 Jun 2022 .zprofile.save
-rw-r--r-- 1 lukas staff 1569 8 Apr 2022 .zprofilees
UW PICO 5.09 New Buffer
[ Read 13 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
-rw------- 1 lukas staff 28812 11 Apr 18:38 .zsh_history
drwx------ 9 lukas staff 288 6 May 2025 .zsh_sessions
-rw-r--r--@ 1 lukas staff 597 11 Apr 18:44 .zshrc
drwx------@ 9 lukas staff 288 9 Apr 20:08 Applications
drwxr-xr-x@ 2 lukas staff 64 22 Oct 09:35 CascadeProjects
drwxr-xr-x 4 lukas staff 128 27 Oct 09:24 DEV
drwx------@ 10 lukas staff 320 11 Apr 18:31 Desktop
drwx------@ 7 lukas staff 224 26 Mar 14:40 Documents
drwx------@ 41 lukas staff 1312 8 Apr 20:46 Downloads
drwxr-xr-x@ 4 lukas staff 128 17 Mar 20:27 Keychron_Screen
drwx------@ 112 lukas staff 3584 2 Dec 09:19 Library
drwx------ 7 lukas staff 224 12 Feb 2024 Movies
drwx------+ 5 lukas staff 160 25 Sep 2023 Music
drwx------+ 9 lukas staff 288 25 Sep 2023 Pictures
drwx------ 3 lukas staff 96 8 Nov 2021 Postman
drwx------+ 4 lukas staff 128 28 Oct 2021 Public
-rw-r--r--@ 1 lukas staff 3950 15 Dec 09:16 Untitled 4.spf
drwx------ 4 lukas staff 128 2 Jul 2023 Users
drwx------ 3 lukas staff 96 30 Sep 2022 iCloud Drive (Archive)
drwx------ 16 lukas staff 512 3 Nov 11:35 jiminny
drwxr-xr-x 3 lukas staff 96 20 Mar 18:47 node_modules
drwxr-xr-x 4 lukas staff 128 21 Oct 18:15 raycast
-rw-r--r-- 1 lukas staff 0 1 Mar 14:26 response.bin
-rwxr-xr-x 1 lukas staff 3824 11 Apr 15:16 screenpipe-day.sh
-rw-r--r-- 1 lukas staff 86 20 Mar 18:47 yarn.lock
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano .zshrc
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ echo "alias sp-status='curl -s [URL_WITH_CREDENTIALS] ~ $ source ~/.zprofile
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-status
{
"status": "healthy",
"frame_status": "ok",
"audio_status": "disabled",
"last_frame": "2026-04-11T18:47:17+03:00",
"uptime": 345.971219541,
"fps": 0.[CREDIT_CARD],
"frames": 34
}
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop
screenpipe stopped
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start
[1] 41216
detected hardware tier: Mid
checking permissions...
screen recording: ok
accessibility: ok
2026-04-11T18:54:13.170097Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T18:54:13.812964Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T18:54:13.819889Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T18:54:13.819889Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T18:54:13.820291Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T18:54:13.820220Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T18:54:13.820450Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T18:54:13.820896Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T18:54:13.820856Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T18:54:13.821123Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T18:54:13.821801Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T18:54:13.821972Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T18:54:13.822128Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T18:54:13.822942Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T18:54:13.822962Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ true │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ disabled │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T18:54:18.859011Z INFO screenpipe_engine::retention: retention: initialized with 14d retention
2026-04-11T18:54:18.859467Z INFO screenpipe: local retention auto-enabled (14 days)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop
screenpipe stopped
[1] + terminated npx screenpipe@latest record --disable-audio
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT DISTINCT window_name
FROM frames
WHERE app_name IN ('Safari', 'Firefox', 'Arc', 'Chrome')
AND window_name IS NOT NULL
UW PICO 5.09 New Buffer
[ Read 13 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
ORDER BY window_name;"
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8 — Personal
Denník N - Nezávislý denník — Personal
Edit profile — Personal
Location Logger
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal
Maďarské voľby – Denník N — Personal
Personal — Mozilla Firefox
Picture-in-Picture
Problem loading page — Personal
Screenpipe Dashboard — Personal
Settings — Personal
Sign in – Google accounts — Personal
Tailscale — Personal
UGREEN NAS — Personal
Vimium Options — Personal
Vimium – Get this Extension for 🦊 Firefox (en-US) — Personal
firefox sidebar - Google Search — Personal
tilscale admin panel - Google Search — Personal
Order Room Service • HBO Max
Shameless • HBO Max
Shameless • HBO Max — Personal
Simple Pleasures • HBO Max — Personal
Časť 2 • HBO Max — Personal
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/config.json
{
"disable_audio": true,
"monitor_ids": ["Display 1_1440x900_0,0", "Display 2_3008x1253_-813,-1253"],
"ignored_windows": [
"1Password",
"Keychain Access",
"Bitwarden",
"System Preferences",
"System Settings",
"zoom.us",
"HBO Max",
]
}
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe && sleep 2 && npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-11T19:00:06.546722Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T19:00:07.267955Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T19:00:07.269566Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T19:00:07.269564Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T19:00:07.269921Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T19:00:07.470439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T19:00:07.470481Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T19:00:07.470420Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T19:00:07.470877Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T19:00:07.471071Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T19:00:07.471748Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T19:00:07.471948Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T19:00:07.472085Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T19:00:07.472295Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T19:00:07.472315Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T19:00:14.624523Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2
2026-04-11T19:00:14.624669Z INFO screenpipe: shutdown complete
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-11T19:00:31.694964Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T19:00:32.442217Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T19:00:32.443687Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T19:00:32.443694Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T19:00:32.444120Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T19:00:32.662907Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T19:00:32.662887Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T19:00:32.662980Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T19:00:32.663355Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T19:00:32.663550Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T19:00:32.664216Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T19:00:32.664395Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T19:00:32.664552Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T19:00:32.665488Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T19:00:32.665515Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T19:00:42.589528Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 47668625-ff04-42f8-aa0d-f468ff11f0ff
2026-04-11T19:00:42.589635Z INFO screenpipe: shutdown complete
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start
[1] 42748
detected hardware tier: Mid
checking permissions...
screen recording: ok
accessibility: ok
2026-04-11T20:26:04.829554Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T20:26:05.341444Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T20:26:05.345218Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T20:26:05.345229Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T20:26:05.345415Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T20:26:05.345428Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T20:26:05.345477Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T20:26:05.345864Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T20:26:05.346065Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T20:26:05.346166Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T20:26:05.346730Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T20:26:05.346883Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T20:26:05.346990Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T20:26:05.347093Z INFO...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: touch:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: bad pattern: unmount(/Volumes/screenpipe):\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: touch:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: cp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: scp:\nzsh: command not found: scp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: scp:\nzsh: command not found: scp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: total\nzsh: command not found: drwxr-xr-x\nzsh: command not found: drwxr-xr-x\nzsh: file exists: /\nzsh: command not found: drwx------\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@100.73.206.126:/volume1/screenpipe/db.sqlite\nscp: dest open \"/volume1/screenpipe/db.sqlite\": No such file or directory\nscp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls \nMacintosh HD\u0000\u0000\u0000\tscreenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 32\ndrwxr-xr-x 4 root wheel 128 11 Apr 16:35 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite\ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/db.sqlite\ncp: /Volumes/Test/screenpipe/db.sqlite: No such file or directory\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/ \ncp: directory /Volumes/Test/screenpipe does not exist\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite \ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/ \ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 96\ndrwxr-xr-x 6 root wheel 192 11 Apr 16:45 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\ndrwx------ 1 lukas staff 16384 10 Aug 2025 Apps\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 15:46 Test\ndrwx------ 1 lukas staff 16384 11 Apr 16:47 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/pipes/ /Volumes/Test/screenpipe/pipes/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/data/data/ /Volumes/Test/screenpipe/data/ \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sed 's|$HOME/.screenpipe/db.sqlite|/volume1/Test/screenpipe/db.sqlite|g' ~/screenpipe-day.sh > /volume1/Test/screenpipe/screenpipe-day.sh\nzsh: no such file or directory: /volume1/Test/screenpipe/screenpipe-day.sh\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cat ~/screenpipe-day.sh \n#!/bin/zsh\nDB=\"$HOME/.screenpipe/db.sqlite\"\nDATE=${1:-$(date -v-1d '+%Y-%m-%d')}\n\necho \"═══════════════════════════════════════\"\necho \" SCREENPIPE REPORT — $DATE\"\necho \"═══════════════════════════════════════\"\n\necho \"\\n📱\u0000 APP USAGE (frames + estimated time)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-30s %5d frames ~%5.1f min', app_name, COUNT(*), ROUND(COUNT(*) * 4.5 / 60.0, 1))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY app_name ORDER BY COUNT(*) DESC;\"\n\necho \"\\n⌨️\u0000 ACTIVITY TYPE PER APP (clicks / keys / switches)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-25s clicks:%-5d keys:%-5d switches:%-4d', \n app_name,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END),\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END),\n SUM(CASE WHEN event_type='app_switch' THEN 1 ELSE 0 END))\nFROM ui_events\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY app_name ORDER BY COUNT(*) DESC;\"\n\necho \"\\n🌐\u0000 BROWSER URLS VISITED\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%4d frames %s', COUNT(*), browser_url)\nFROM frames\nWHERE date(timestamp) = '$DATE' AND browser_url IS NOT NULL\nGROUP BY browser_url ORDER BY COUNT(*) DESC LIMIT 20;\"\n\necho \"\\n🪟\u0000 WINDOW TITLES (top 20)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-20s %3d %s', app_name, COUNT(*), SUBSTR(window_name,1,60))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND window_name IS NOT NULL AND app_name IS NOT NULL\nGROUP BY app_name, window_name ORDER BY COUNT(*) DESC LIMIT 20;\"\n\necho \"\\n🕐\u0000 HOURLY TIMELINE\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%s %-20s %3d frames', strftime('%H:00', timestamp), app_name, COUNT(*))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY strftime('%H', timestamp), app_name\nORDER BY strftime('%H', timestamp), COUNT(*) DESC;\"\n\necho \"\\n📋\u0000 CLIPBOARD ACTIVITY\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-20s %s', app_name, SUBSTR(text_content, 1, 80))\nFROM ui_events\nWHERE date(timestamp) = '$DATE' AND event_type = 'clipboard' AND text_content IS NOT NULL\nORDER BY timestamp LIMIT 20;\"\n\necho \"\\n💬\u0000 OCR TEXT SAMPLES PER APP\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-15s %s', o.app_name, SUBSTR(o.text, 1, 80))\nFROM ocr_text o\nJOIN frames f ON o.frame_id = f.id\nWHERE date(f.timestamp) = '$DATE' AND o.app_name IS NOT NULL AND o.text != ''\nGROUP BY o.app_name\nORDER BY o.app_name LIMIT 15;\"\n\necho \"\\n🔢\u0000 TOTALS\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT \n 'Frames: ' || COUNT(*) FROM frames WHERE date(timestamp) = '$DATE';\n\"\nsqlite3 \"$DB\" \"\nSELECT 'UI Events: ' || COUNT(*) FROM ui_events WHERE date(timestamp) = '$DATE';\n\"\nsqlite3 \"$DB\" \"\nSELECT 'OCR texts: ' || COUNT(*) FROM ocr_text o JOIN frames f ON o.frame_id = f.id WHERE date(f.timestamp) = '$DATE';\n\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\ncurl: (7) Failed to connect to localhost port 3030 after 0 ms: Couldn't connect to server\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 11194 0 --:--:-- --:--:-- --:--:-- 11666\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl http://localhost:3030/health | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 943 100 943 0 0 574k 0 --:--:-- --:--:-- --:--:-- 920k\n{\n \"audio_db_write_stalled\": false,\n \"audio_status\": \"disabled\",\n \"device_status_details\": null,\n \"drm_content_paused\": false,\n \"frame_status\": \"ok\",\n \"hostname\": \"Lukas-Kovaliks-MacBook-Pro-Jiminny\",\n \"last_audio_timestamp\": null,\n \"last_frame_timestamp\": \"2026-04-11T18:42:01+03:00\",\n \"message\": \"all systems are functioning normally.\",\n \"monitors\": [\n \"Display 1 (1440x900)\",\n \"Display 2 (2560x1440)\"\n ],\n \"pipeline\": {\n \"avg_db_latency_ms\": 56.5,\n \"avg_ocr_latency_ms\": 0.0,\n \"capture_fps_actual\": 0.5718911974206078,\n \"frame_drop_rate\": 0.0,\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 134 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \n \"frames_captured\": 2,\n \"frames_db_written\": 2,\n \"frames_dropped\": 0,\n \"ocr_cache_hit_rate\": 0.0,\n \"ocr_queue_depth\": 0,\n \"pipeline_stall_count\": 0,\n \"time_to_first_frame_ms\": 1250.985,\n \"uptime_secs\": 3.497168708,\n \"video_queue_depth\": 0\n },\n \"pool_stats\": {\n \"read_pool_idle\": 3,\n \"read_pool_size\": 3,\n \"write_pool_idle\": 2,\n \"write_pool_size\": 2\n },\n \"schedule_paused\": false,\n \"status\": \"healthy\",\n \"status_code\": 200,\n \"verbose_instructions\": null,\n \"version\": \"0.3.278\",\n \"vision_db_write_stalled\": false\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -s http://localhost:3030/health | jq '{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}'\n{\n \"status\": \"healthy\",\n \"frame_status\": \"ok\",\n \"audio_status\": \"disabled\",\n \"last_frame\": \"2026-04-11T18:43:24+03:00\",\n \"uptime\": 85.845911708,\n \"fps\": 0.198029232397514,\n \"frames\": 17\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ echo \"alias sp-status='curl -s http://localhost:3030/health | jq \\\"{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}\\\"'\" >> ~/.zshrc\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status\nzsh: command not found: sp-status\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ source ~/.zprofile\n\nPoetry could not find a pyproject.toml file in /Volumes or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status \nzsh: command not found: sp-status\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ zp\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls\nApps\u0000\u0000\u0000\t\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tMacintosh HD\u0000\u0000\u0000\tTest\u0000\u0000\u0000\t\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tscreenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cd\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ll\ntotal 1272\ndrwx------+ 89 lukas staff 2848 11 Apr 18:38 .\ndrwxr-xr-x 5 root admin 160 23 Aug 2024 ..\n-r-------- 1 lukas staff 7 18 Nov 2021 .CFUserTextEncoding\n-rw-r--r--@ 1 lukas staff 22532 11 Apr 16:46 .DS_Store\ndrwx------+ 2 lukas staff 64 11 Apr 11:15 .Trash\ndrwx------ 5 lukas staff 160 1 Nov 2021 .aws\n-rw-r--r-- 1 lukas staff 341470 29 Sep 2022 .babel.json\n-rw-------@ 1 lukas staff 388 25 Jul 2025 .bash_history\n-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .bashrc\ndrwxr-xr-x 5 lukas staff 160 11 Mar 2023 .bito\ndrwx------@ 6 lukas staff 192 9 Apr 19:53 .cache\ndrwxr-xr-x 20 lukas staff 640 9 Apr 21:21 .claude\n-rw------- 1 lukas staff 24973 9 Apr 21:24 .claude.json\ndrwxr-xr-x@ 20 lukas staff 640 12 Mar 09:12 .codeium\ndrwxrwxrwx@ 3 lukas staff 96 2 Mar 2023 .composer\ndrwx------ 16 lukas staff 512 21 May 2025 .config\ndrwxr-xr-x 15 lukas staff 480 23 Dec 2024 .continue\ndrwx------@ 3 lukas staff 96 16 Feb 19:13 .copilot\ndrwxr-xr-x@ 5 lukas staff 160 9 Apr 2025 .cursor\ndrwxr-xr-x@ 5 lukas staff 160 17 Aug 2024 .cursor-tutor\ndrwxr-xr-x 3 lukas staff 96 8 Sep 2024 .daytona\ndrwxr-xr-x@ 4 lukas staff 128 18 Feb 10:52 .devdb\ndrwx------ 24 lukas staff 768 9 Apr 18:24 .docker\ndrwx------ 15 lukas staff 480 6 Jun 2023 .dropbox\ndrwxr-xr-x@ 3 lukas staff 96 20 Nov 2022 .fig.dotfiles.bak\n-rw-r--r-- 1 lukas staff 138 5 Mar 2022 .gauth\n-rw-r--r-- 1 lukas staff 220 25 Nov 2021 .gitconfig\n-rw-r--r-- 1 lukas staff 12288 25 Nov 2021 .gitconfig.swp\ndrwx------ 5 lukas staff 160 18 Nov 2021 .hammerspoon\ndrwxr-xr-x 3 lukas staff 96 21 Mar 2025 .idlerc\n-rw------- 1 lukas staff 20 31 Mar 18:32 .lesshst\ndrwx------ 5 lukas staff 160 23 Dec 2024 .local\n-rw------- 1 lukas staff 204 16 Mar 2024 .netrc\ndrwx------ 3 lukas staff 96 1 Nov 2021 .node-gyp\n-rw------- 1 lukas staff 4 6 Feb 2024 .node_repl_history\n-rw-r--r-- 1 lukas staff 17 24 Dec 2023 .notion-enhancer\ndrwxr-xr-x 4 lukas staff 128 12 Jul 2024 .notion-py\ndrwx------ 9 lukas staff 288 11 Apr 18:41 .npm\n-rw------- 1 lukas staff 74 20 May 2024 .npmrc\ndrwx------ 32 lukas staff 1024 25 Jul 2025 .nvm\ndrwxr-xr-x 4 lukas staff 128 5 Aug 2023 .postman\n-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .profile\n-rw-------@ 1 lukas staff 3153 21 Mar 2025 .python_history\ndrwx------ 2 lukas staff 64 15 Nov 2021 .quicktype-vscode\ndrwxr-xr-x@ 8 lukas staff 256 16 Feb 08:48 .redis-insight\ndrwxr-xr-x 10 lukas staff 320 11 Apr 14:52 .screenpipe\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 11 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \ndrwxr-xr-x 4 lukas staff 128 4 Feb 09:35 .sonarlint\ndrwx------ 15 lukas staff 480 8 Aug 2025 .ssh\ndrwxr-xr-x@ 3 lukas staff 96 15 Aug 2025 .streamlit\ndrwx------ 6 lukas staff 192 17 Oct 2022 .swiftpm\n-rw------- 1 lukas staff 12183 8 Apr 19:14 .viminfo\ndrwx------ 5 lukas staff 160 19 Jun 2023 .vscode\ndrwxr-xr-x@ 3 lukas staff 96 20 Jan 2025 .warp\ndrwxr-xr-x 4 lukas staff 128 29 Apr 2023 .wdm\ndrwxr-xr-x@ 5 lukas staff 160 26 Jan 13:03 .windsurf\ndrwxr-xr-x 4 lukas staff 128 24 Mar 12:03 .yarn\n-rw-r--r-- 1 lukas staff 116 30 Mar 10:12 .yarnrc\n-rw-r--r--@ 1 lukas staff 49518 6 Apr 14:31 .zcompdump\n-rw-r--r--@ 1 lukas staff 46758 2 Nov 20:34 .zcompdump.Lukas-Kovaliks-MacBook-Pro-Jiminny.23381\n-rw-r--r--@ 1 lukas staff 5641 9 Apr 20:30 .zprofile\n-rw-r--r-- 1 lukas staff 1468 8 Apr 2022 .zprofile-copy\n-rw-r--r--@ 1 lukas staff 2900 15 Mar 2023 .zprofile.pysave\n-rw------- 1 lukas staff 1731 29 Jun 2022 .zprofile.save\n-rw-r--r-- 1 lukas staff 1569 8 Apr 2022 .zprofilees\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 13 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \n-rw------- 1 lukas staff 28812 11 Apr 18:38 .zsh_history\ndrwx------ 9 lukas staff 288 6 May 2025 .zsh_sessions\n-rw-r--r--@ 1 lukas staff 597 11 Apr 18:44 .zshrc\ndrwx------@ 9 lukas staff 288 9 Apr 20:08 Applications\ndrwxr-xr-x@ 2 lukas staff 64 22 Oct 09:35 CascadeProjects\ndrwxr-xr-x 4 lukas staff 128 27 Oct 09:24 DEV\ndrwx------@ 10 lukas staff 320 11 Apr 18:31 Desktop\ndrwx------@ 7 lukas staff 224 26 Mar 14:40 Documents\ndrwx------@ 41 lukas staff 1312 8 Apr 20:46 Downloads\ndrwxr-xr-x@ 4 lukas staff 128 17 Mar 20:27 Keychron_Screen\ndrwx------@ 112 lukas staff 3584 2 Dec 09:19 Library\ndrwx------ 7 lukas staff 224 12 Feb 2024 Movies\ndrwx------+ 5 lukas staff 160 25 Sep 2023 Music\ndrwx------+ 9 lukas staff 288 25 Sep 2023 Pictures\ndrwx------ 3 lukas staff 96 8 Nov 2021 Postman\ndrwx------+ 4 lukas staff 128 28 Oct 2021 Public\n-rw-r--r--@ 1 lukas staff 3950 15 Dec 09:16 Untitled 4.spf\ndrwx------ 4 lukas staff 128 2 Jul 2023 Users\ndrwx------ 3 lukas staff 96 30 Sep 2022 iCloud Drive (Archive)\ndrwx------ 16 lukas staff 512 3 Nov 11:35 jiminny\ndrwxr-xr-x 3 lukas staff 96 20 Mar 18:47 node_modules\ndrwxr-xr-x 4 lukas staff 128 21 Oct 18:15 raycast\n-rw-r--r-- 1 lukas staff 0 1 Mar 14:26 response.bin\n-rwxr-xr-x 1 lukas staff 3824 11 Apr 15:16 screenpipe-day.sh\n-rw-r--r-- 1 lukas staff 86 20 Mar 18:47 yarn.lock\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano .zshrc \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ echo \"alias sp-status='curl -s http://localhost:3030/health | jq \\\"{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}\\\"'\" >> ~/.zprofile\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ source ~/.zprofile\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-status \n{\n \"status\": \"healthy\",\n \"frame_status\": \"ok\",\n \"audio_status\": \"disabled\",\n \"last_frame\": \"2026-04-11T18:47:17+03:00\",\n \"uptime\": 345.971219541,\n \"fps\": 0.0982740704417778,\n \"frames\": 34\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop\nscreenpipe stopped\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start \n[1] 41216\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-11T18:54:13.170097Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T18:54:13.812964Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T18:54:13.819889Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T18:54:13.819889Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T18:54:13.820291Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T18:54:13.820220Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T18:54:13.820450Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T18:54:13.820896Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T18:54:13.820856Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T18:54:13.821123Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T18:54:13.821801Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T18:54:13.821972Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T18:54:13.822128Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T18:54:13.822942Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T18:54:13.822962Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T18:54:13.824479Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T18:54:13.824829Z INFO screenpipe: starting UI event capture\n2026-04-11T18:54:13.828568Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T18:54:13.829646Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T18:54:13.838998Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T18:54:13.852999Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T18:54:13.853108Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 15:54:13.853107 UTC to 2026-04-11 15:54:13.853107 UTC)\n2026-04-11T18:54:13.853121Z INFO screenpipe_engine::ui_recorder: UI recording session started: 13f9ef4b-a7db-47ce-844f-778b4b926db5\n2026-04-11T18:54:13.854048Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T18:54:13.859344Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T18:54:13.864448Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T18:54:14.006638Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 878 frame entries, coverage from 2026-04-10 15:54:13.853107 UTC\n2026-04-11T18:54:14.161101Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T18:54:14.161134Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T18:54:14.161145Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T18:54:14.161153Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T18:54:14.161204Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T18:54:14.958802Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T18:54:15.096012Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1402, dur=52ms\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T18:54:18.859011Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T18:54:18.859467Z INFO screenpipe: local retention auto-enabled (14 days)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop\nscreenpipe stopped\n[1] + terminated npx screenpipe@latest record --disable-audio \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT DISTINCT window_name\nFROM frames\nWHERE app_name IN ('Safari', 'Firefox', 'Arc', 'Chrome')\nAND window_name IS NOT NULL\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 13 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \nORDER BY window_name;\"\nDXP4800PLUS-B5F8\nDXP4800PLUS-B5F8 — Personal\nDenník N - Nezávislý denník — Personal\nEdit profile — Personal\nLocation Logger\nLoď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal\nMaďarské voľby – Denník N — Personal\nPersonal — Mozilla Firefox\nPicture-in-Picture\nProblem loading page — Personal\nScreenpipe Dashboard — Personal\nSettings — Personal\nSign in – Google accounts — Personal\nTailscale — Personal\nUGREEN NAS — Personal\nVimium Options — Personal\nVimium – Get this Extension for 🦊\u0000 Firefox (en-US) — Personal\nfirefox sidebar - Google Search — Personal\ntilscale admin panel - Google Search — Personal\nOrder Room Service • HBO Max\nShameless • HBO Max\nShameless • HBO Max — Personal\nSimple Pleasures • HBO Max — Personal\nČasť 2 • HBO Max — Personal\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/config.json \n{\n \"disable_audio\": true,\n \"monitor_ids\": [\"Display 1_1440x900_0,0\", \"Display 2_3008x1253_-813,-1253\"],\n \"ignored_windows\": [\n \"1Password\",\n \"Keychain Access\",\n \"Bitwarden\",\n \"System Preferences\",\n \"System Settings\",\n \"zoom.us\",\n \"HBO Max\",\n ]\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe && sleep 2 && npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record \ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-11T19:00:06.546722Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T19:00:07.267955Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T19:00:07.269566Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T19:00:07.269564Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T19:00:07.269921Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T19:00:07.470439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T19:00:07.470481Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T19:00:07.470420Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T19:00:07.470877Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T19:00:07.471071Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T19:00:07.471748Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T19:00:07.471948Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T19:00:07.472085Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T19:00:07.472295Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T19:00:07.472315Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T19:00:07.473167Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T19:00:07.473787Z INFO screenpipe: starting UI event capture\n2026-04-11T19:00:07.476515Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T19:00:07.485630Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T19:00:07.489867Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T19:00:07.503670Z INFO screenpipe_engine::ui_recorder: UI recording session started: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2\n2026-04-11T19:00:07.503881Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T19:00:07.503967Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 16:00:07.503966 UTC to 2026-04-11 16:00:07.503966 UTC)\n2026-04-11T19:00:07.504283Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T19:00:07.509408Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T19:00:07.514386Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T19:00:07.659978Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 879 frame entries, coverage from 2026-04-10 16:00:07.503966 UTC\n2026-04-11T19:00:07.820721Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T19:00:07.820747Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T19:00:07.820758Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T19:00:07.820766Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T19:00:07.820805Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T19:00:08.565404Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T19:00:08.709384Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1403, dur=60ms\n2026-04-11T19:00:12.507772Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T19:00:12.508217Z INFO screenpipe: local retention auto-enabled (14 days)\n^C2026-04-11T19:00:14.475068Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-11T19:00:14.476266Z INFO screenpipe: stopping UI event capture\n2026-04-11T19:00:14.476480Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-11T19:00:14.476552Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-11T19:00:14.476564Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-11T19:00:14.476595Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-11T19:00:14.477268Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n\n2026-04-11T19:00:14.481053Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s) \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T19:00:14.624523Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2\n2026-04-11T19:00:14.624669Z INFO screenpipe: shutdown complete\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-11T19:00:31.694964Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T19:00:32.442217Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T19:00:32.443687Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T19:00:32.443694Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T19:00:32.444120Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T19:00:32.662907Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T19:00:32.662887Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T19:00:32.662980Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T19:00:32.663355Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T19:00:32.663550Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T19:00:32.664216Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T19:00:32.664395Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T19:00:32.664552Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T19:00:32.665488Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T19:00:32.665515Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T19:00:32.667186Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T19:00:32.667286Z INFO screenpipe: starting UI event capture\n2026-04-11T19:00:32.670076Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T19:00:32.672989Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T19:00:32.681327Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T19:00:32.695244Z INFO screenpipe_engine::ui_recorder: UI recording session started: 47668625-ff04-42f8-aa0d-f468ff11f0ff\n2026-04-11T19:00:32.695238Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T19:00:32.695298Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 16:00:32.695296 UTC to 2026-04-11 16:00:32.695296 UTC)\n2026-04-11T19:00:32.695769Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T19:00:32.701263Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T19:00:32.705041Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T19:00:32.852998Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 880 frame entries, coverage from 2026-04-10 16:00:32.695296 UTC\n2026-04-11T19:00:32.998691Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T19:00:32.998717Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T19:00:32.998728Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T19:00:32.998739Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T19:00:32.998790Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T19:00:33.736410Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T19:00:34.302357Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1404, dur=507ms\n2026-04-11T19:00:37.699366Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T19:00:37.699830Z INFO screenpipe: local retention auto-enabled (14 days)\n^C2026-04-11T19:00:42.463354Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-11T19:00:42.463443Z INFO screenpipe: stopping UI event capture\n2026-04-11T19:00:42.463473Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-11T19:00:42.463494Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-11T19:00:42.463501Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-11T19:00:42.463509Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-11T19:00:42.463516Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n\n2026-04-11T19:00:42.466209Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s) \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T19:00:42.589528Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 47668625-ff04-42f8-aa0d-f468ff11f0ff\n2026-04-11T19:00:42.589635Z INFO screenpipe: shutdown complete\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start\n[1] 42748\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-11T20:26:04.829554Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T20:26:05.341444Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T20:26:05.345218Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T20:26:05.345229Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T20:26:05.345415Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T20:26:05.345428Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T20:26:05.345477Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T20:26:05.345864Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T20:26:05.346065Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T20:26:05.346166Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T20:26:05.346730Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T20:26:05.346883Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T20:26:05.346990Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T20:26:05.347093Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T20:26:05.347108Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T20:26:05.348501Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T20:26:05.348754Z INFO screenpipe: starting UI event capture\n2026-04-11T20:26:05.353656Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T20:26:05.358540Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T20:26:05.363864Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T20:26:05.378325Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T20:26:05.378392Z INFO screenpipe_engine::ui_recorder: UI recording session started: 5b17c7fe-3811-4788-a81b-6b04773808f1\n2026-04-11T20:26:05.378564Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 17:26:05.378561 UTC to 2026-04-11 17:26:05.378561 UTC)\n2026-04-11T20:26:05.379467Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T20:26:05.384798Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T20:26:05.389960Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T20:26:05.528107Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 883 frame entries, coverage from 2026-04-10 17:26:05.378561 UTC\n2026-04-11T20:26:05.683177Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T20:26:05.683293Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T20:26:05.683303Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T20:26:05.683311Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T20:26:05.683359Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T20:26:06.488545Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T20:26:07.067446Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1407, dur=537ms\n2026-04-11T20:26:08.752985Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-9215443531147982391, trigger=visual_change)\n2026-04-11T20:26:10.383131Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T20:26:10.383762Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-11T20:26:38.337011Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-9215443531147982391, trigger=click)\n2026-04-11T20:26:55.992688Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5606118560581161138, trigger=click)\n2026-04-11T20:26:57.331771Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5606118560581161138, trigger=click)\n2026-04-11T20:27:05.408691Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 61 eligible frames\n2026-04-11T20:27:09.664908Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 61 frames, 9.4MB → 3.3MB (2.8x), 61 JPEGs deleted\n2026-04-11T20:31:05.374969Z INFO screenpipe_engine::server: api_usage_5min: 1 requests\n2026-04-11T20:31:40.380610Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-28T17:31:40.380594+00:00 (14d retention)\n2026-04-11T20:32:09.668412Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 1 eligible frames\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000ls -lah ~/.screenpipe/data/data/ | head -20\ndu -sh ~/.screenpipe/data/data/*\ntotal 24\ndrwxr-xr-x 5 lukas staff 160B 11 Apr 14:52 .\ndrwxr-xr-x 5 lukas staff 160B 11 Apr 15:03 ..\n-rw-r--r--@ 1 lukas staff 8.0K 9 Apr 20:43 .DS_Store\ndrwxr-xr-x 14 lukas staff 448B 11 Apr 14:53 2026-04-09\ndrwxr-xr-x 98 lukas staff 3.1K 11 Apr 20:32 2026-04-11\n 39M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/data/data/2026-04-09\n 60M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/data/data/2026-04-11\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe \n234M\u0000\u0000\u0000\t/Users/lukas/.screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/\n234M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/*\n4.0K\u0000\u0000\u0000\t/Users/lukas/.screenpipe/config.json\n 99M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/data\n126M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/db.sqlite\n 32K\u0000\u0000\u0000\t/Users/lukas/.screenpipe/db.sqlite-shm\n8.0M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/db.sqlite-wal\n 24K\u0000\u0000\u0000\t/Users/lukas/.screenpipe/pipes\n132K\u0000\u0000\u0000\t/Users/lukas/.screenpipe/screenpipe.2026-04-09.0.log\n132K\u0000\u0000\u0000\t/Users/lukas/.screenpipe/screenpipe.2026-04-11.0.log\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"value":"zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: touch:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: bad pattern: unmount(/Volumes/screenpipe):\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: touch:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: cp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: scp:\nzsh: command not found: scp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: scp:\nzsh: command not found: scp:\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nzsh: command not found: total\nzsh: command not found: drwxr-xr-x\nzsh: command not found: drwxr-xr-x\nzsh: file exists: /\nzsh: command not found: drwx------\nzsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@100.73.206.126:/volume1/screenpipe/db.sqlite\nscp: dest open \"/volume1/screenpipe/db.sqlite\": No such file or directory\nscp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls \nMacintosh HD\u0000\u0000\u0000\tscreenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 32\ndrwxr-xr-x 4 root wheel 128 11 Apr 16:35 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite\ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/db.sqlite\ncp: /Volumes/Test/screenpipe/db.sqlite: No such file or directory\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/ \ncp: directory /Volumes/Test/screenpipe does not exist\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite \ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/ \ncp: /Volumes/screenpipe/db.sqlite: Operation not permitted\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll\ntotal 96\ndrwxr-xr-x 6 root wheel 192 11 Apr 16:45 .\ndrwxr-xr-x 20 root wheel 640 4 Aug 2024 ..\ndrwx------ 1 lukas staff 16384 10 Aug 2025 Apps\nlrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /\ndrwx------ 1 lukas staff 16384 11 Apr 15:46 Test\ndrwx------ 1 lukas staff 16384 11 Apr 16:47 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/pipes/ /Volumes/Test/screenpipe/pipes/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/data/data/ /Volumes/Test/screenpipe/data/ \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sed 's|$HOME/.screenpipe/db.sqlite|/volume1/Test/screenpipe/db.sqlite|g' ~/screenpipe-day.sh > /volume1/Test/screenpipe/screenpipe-day.sh\nzsh: no such file or directory: /volume1/Test/screenpipe/screenpipe-day.sh\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cat ~/screenpipe-day.sh \n#!/bin/zsh\nDB=\"$HOME/.screenpipe/db.sqlite\"\nDATE=${1:-$(date -v-1d '+%Y-%m-%d')}\n\necho \"═══════════════════════════════════════\"\necho \" SCREENPIPE REPORT — $DATE\"\necho \"═══════════════════════════════════════\"\n\necho \"\\n📱\u0000 APP USAGE (frames + estimated time)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-30s %5d frames ~%5.1f min', app_name, COUNT(*), ROUND(COUNT(*) * 4.5 / 60.0, 1))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY app_name ORDER BY COUNT(*) DESC;\"\n\necho \"\\n⌨️\u0000 ACTIVITY TYPE PER APP (clicks / keys / switches)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-25s clicks:%-5d keys:%-5d switches:%-4d', \n app_name,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END),\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END),\n SUM(CASE WHEN event_type='app_switch' THEN 1 ELSE 0 END))\nFROM ui_events\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY app_name ORDER BY COUNT(*) DESC;\"\n\necho \"\\n🌐\u0000 BROWSER URLS VISITED\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%4d frames %s', COUNT(*), browser_url)\nFROM frames\nWHERE date(timestamp) = '$DATE' AND browser_url IS NOT NULL\nGROUP BY browser_url ORDER BY COUNT(*) DESC LIMIT 20;\"\n\necho \"\\n🪟\u0000 WINDOW TITLES (top 20)\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-20s %3d %s', app_name, COUNT(*), SUBSTR(window_name,1,60))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND window_name IS NOT NULL AND app_name IS NOT NULL\nGROUP BY app_name, window_name ORDER BY COUNT(*) DESC LIMIT 20;\"\n\necho \"\\n🕐\u0000 HOURLY TIMELINE\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%s %-20s %3d frames', strftime('%H:00', timestamp), app_name, COUNT(*))\nFROM frames\nWHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL\nGROUP BY strftime('%H', timestamp), app_name\nORDER BY strftime('%H', timestamp), COUNT(*) DESC;\"\n\necho \"\\n📋\u0000 CLIPBOARD ACTIVITY\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-20s %s', app_name, SUBSTR(text_content, 1, 80))\nFROM ui_events\nWHERE date(timestamp) = '$DATE' AND event_type = 'clipboard' AND text_content IS NOT NULL\nORDER BY timestamp LIMIT 20;\"\n\necho \"\\n💬\u0000 OCR TEXT SAMPLES PER APP\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT printf('%-15s %s', o.app_name, SUBSTR(o.text, 1, 80))\nFROM ocr_text o\nJOIN frames f ON o.frame_id = f.id\nWHERE date(f.timestamp) = '$DATE' AND o.app_name IS NOT NULL AND o.text != ''\nGROUP BY o.app_name\nORDER BY o.app_name LIMIT 15;\"\n\necho \"\\n🔢\u0000 TOTALS\"\necho \"───────────────────────────────────────\"\nsqlite3 \"$DB\" \"\nSELECT \n 'Frames: ' || COUNT(*) FROM frames WHERE date(timestamp) = '$DATE';\n\"\nsqlite3 \"$DB\" \"\nSELECT 'UI Events: ' || COUNT(*) FROM ui_events WHERE date(timestamp) = '$DATE';\n\"\nsqlite3 \"$DB\" \"\nSELECT 'OCR texts: ' || COUNT(*) FROM ocr_text o JOIN frames f ON o.frame_id = f.id WHERE date(f.timestamp) = '$DATE';\n\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\ncurl: (7) Failed to connect to localhost port 3030 after 0 ms: Couldn't connect to server\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 11194 0 --:--:-- --:--:-- --:--:-- 11666\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl http://localhost:3030/health | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 943 100 943 0 0 574k 0 --:--:-- --:--:-- --:--:-- 920k\n{\n \"audio_db_write_stalled\": false,\n \"audio_status\": \"disabled\",\n \"device_status_details\": null,\n \"drm_content_paused\": false,\n \"frame_status\": \"ok\",\n \"hostname\": \"Lukas-Kovaliks-MacBook-Pro-Jiminny\",\n \"last_audio_timestamp\": null,\n \"last_frame_timestamp\": \"2026-04-11T18:42:01+03:00\",\n \"message\": \"all systems are functioning normally.\",\n \"monitors\": [\n \"Display 1 (1440x900)\",\n \"Display 2 (2560x1440)\"\n ],\n \"pipeline\": {\n \"avg_db_latency_ms\": 56.5,\n \"avg_ocr_latency_ms\": 0.0,\n \"capture_fps_actual\": 0.5718911974206078,\n \"frame_drop_rate\": 0.0,\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 134 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \n \"frames_captured\": 2,\n \"frames_db_written\": 2,\n \"frames_dropped\": 0,\n \"ocr_cache_hit_rate\": 0.0,\n \"ocr_queue_depth\": 0,\n \"pipeline_stall_count\": 0,\n \"time_to_first_frame_ms\": 1250.985,\n \"uptime_secs\": 3.497168708,\n \"video_queue_depth\": 0\n },\n \"pool_stats\": {\n \"read_pool_idle\": 3,\n \"read_pool_size\": 3,\n \"write_pool_idle\": 2,\n \"write_pool_size\": 2\n },\n \"schedule_paused\": false,\n \"status\": \"healthy\",\n \"status_code\": 200,\n \"verbose_instructions\": null,\n \"version\": \"0.3.278\",\n \"vision_db_write_stalled\": false\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -s http://localhost:3030/health | jq '{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}'\n{\n \"status\": \"healthy\",\n \"frame_status\": \"ok\",\n \"audio_status\": \"disabled\",\n \"last_frame\": \"2026-04-11T18:43:24+03:00\",\n \"uptime\": 85.845911708,\n \"fps\": 0.198029232397514,\n \"frames\": 17\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ echo \"alias sp-status='curl -s http://localhost:3030/health | jq \\\"{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}\\\"'\" >> ~/.zshrc\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status\nzsh: command not found: sp-status\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ source ~/.zprofile\n\nPoetry could not find a pyproject.toml file in /Volumes or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status \nzsh: command not found: sp-status\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ zp\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls\nApps\u0000\u0000\u0000\t\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tMacintosh HD\u0000\u0000\u0000\tTest\u0000\u0000\u0000\t\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tscreenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cd\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ll\ntotal 1272\ndrwx------+ 89 lukas staff 2848 11 Apr 18:38 .\ndrwxr-xr-x 5 root admin 160 23 Aug 2024 ..\n-r-------- 1 lukas staff 7 18 Nov 2021 .CFUserTextEncoding\n-rw-r--r--@ 1 lukas staff 22532 11 Apr 16:46 .DS_Store\ndrwx------+ 2 lukas staff 64 11 Apr 11:15 .Trash\ndrwx------ 5 lukas staff 160 1 Nov 2021 .aws\n-rw-r--r-- 1 lukas staff 341470 29 Sep 2022 .babel.json\n-rw-------@ 1 lukas staff 388 25 Jul 2025 .bash_history\n-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .bashrc\ndrwxr-xr-x 5 lukas staff 160 11 Mar 2023 .bito\ndrwx------@ 6 lukas staff 192 9 Apr 19:53 .cache\ndrwxr-xr-x 20 lukas staff 640 9 Apr 21:21 .claude\n-rw------- 1 lukas staff 24973 9 Apr 21:24 .claude.json\ndrwxr-xr-x@ 20 lukas staff 640 12 Mar 09:12 .codeium\ndrwxrwxrwx@ 3 lukas staff 96 2 Mar 2023 .composer\ndrwx------ 16 lukas staff 512 21 May 2025 .config\ndrwxr-xr-x 15 lukas staff 480 23 Dec 2024 .continue\ndrwx------@ 3 lukas staff 96 16 Feb 19:13 .copilot\ndrwxr-xr-x@ 5 lukas staff 160 9 Apr 2025 .cursor\ndrwxr-xr-x@ 5 lukas staff 160 17 Aug 2024 .cursor-tutor\ndrwxr-xr-x 3 lukas staff 96 8 Sep 2024 .daytona\ndrwxr-xr-x@ 4 lukas staff 128 18 Feb 10:52 .devdb\ndrwx------ 24 lukas staff 768 9 Apr 18:24 .docker\ndrwx------ 15 lukas staff 480 6 Jun 2023 .dropbox\ndrwxr-xr-x@ 3 lukas staff 96 20 Nov 2022 .fig.dotfiles.bak\n-rw-r--r-- 1 lukas staff 138 5 Mar 2022 .gauth\n-rw-r--r-- 1 lukas staff 220 25 Nov 2021 .gitconfig\n-rw-r--r-- 1 lukas staff 12288 25 Nov 2021 .gitconfig.swp\ndrwx------ 5 lukas staff 160 18 Nov 2021 .hammerspoon\ndrwxr-xr-x 3 lukas staff 96 21 Mar 2025 .idlerc\n-rw------- 1 lukas staff 20 31 Mar 18:32 .lesshst\ndrwx------ 5 lukas staff 160 23 Dec 2024 .local\n-rw------- 1 lukas staff 204 16 Mar 2024 .netrc\ndrwx------ 3 lukas staff 96 1 Nov 2021 .node-gyp\n-rw------- 1 lukas staff 4 6 Feb 2024 .node_repl_history\n-rw-r--r-- 1 lukas staff 17 24 Dec 2023 .notion-enhancer\ndrwxr-xr-x 4 lukas staff 128 12 Jul 2024 .notion-py\ndrwx------ 9 lukas staff 288 11 Apr 18:41 .npm\n-rw------- 1 lukas staff 74 20 May 2024 .npmrc\ndrwx------ 32 lukas staff 1024 25 Jul 2025 .nvm\ndrwxr-xr-x 4 lukas staff 128 5 Aug 2023 .postman\n-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .profile\n-rw-------@ 1 lukas staff 3153 21 Mar 2025 .python_history\ndrwx------ 2 lukas staff 64 15 Nov 2021 .quicktype-vscode\ndrwxr-xr-x@ 8 lukas staff 256 16 Feb 08:48 .redis-insight\ndrwxr-xr-x 10 lukas staff 320 11 Apr 14:52 .screenpipe\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 11 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \ndrwxr-xr-x 4 lukas staff 128 4 Feb 09:35 .sonarlint\ndrwx------ 15 lukas staff 480 8 Aug 2025 .ssh\ndrwxr-xr-x@ 3 lukas staff 96 15 Aug 2025 .streamlit\ndrwx------ 6 lukas staff 192 17 Oct 2022 .swiftpm\n-rw------- 1 lukas staff 12183 8 Apr 19:14 .viminfo\ndrwx------ 5 lukas staff 160 19 Jun 2023 .vscode\ndrwxr-xr-x@ 3 lukas staff 96 20 Jan 2025 .warp\ndrwxr-xr-x 4 lukas staff 128 29 Apr 2023 .wdm\ndrwxr-xr-x@ 5 lukas staff 160 26 Jan 13:03 .windsurf\ndrwxr-xr-x 4 lukas staff 128 24 Mar 12:03 .yarn\n-rw-r--r-- 1 lukas staff 116 30 Mar 10:12 .yarnrc\n-rw-r--r--@ 1 lukas staff 49518 6 Apr 14:31 .zcompdump\n-rw-r--r--@ 1 lukas staff 46758 2 Nov 20:34 .zcompdump.Lukas-Kovaliks-MacBook-Pro-Jiminny.23381\n-rw-r--r--@ 1 lukas staff 5641 9 Apr 20:30 .zprofile\n-rw-r--r-- 1 lukas staff 1468 8 Apr 2022 .zprofile-copy\n-rw-r--r--@ 1 lukas staff 2900 15 Mar 2023 .zprofile.pysave\n-rw------- 1 lukas staff 1731 29 Jun 2022 .zprofile.save\n-rw-r--r-- 1 lukas staff 1569 8 Apr 2022 .zprofilees\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 13 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \n-rw------- 1 lukas staff 28812 11 Apr 18:38 .zsh_history\ndrwx------ 9 lukas staff 288 6 May 2025 .zsh_sessions\n-rw-r--r--@ 1 lukas staff 597 11 Apr 18:44 .zshrc\ndrwx------@ 9 lukas staff 288 9 Apr 20:08 Applications\ndrwxr-xr-x@ 2 lukas staff 64 22 Oct 09:35 CascadeProjects\ndrwxr-xr-x 4 lukas staff 128 27 Oct 09:24 DEV\ndrwx------@ 10 lukas staff 320 11 Apr 18:31 Desktop\ndrwx------@ 7 lukas staff 224 26 Mar 14:40 Documents\ndrwx------@ 41 lukas staff 1312 8 Apr 20:46 Downloads\ndrwxr-xr-x@ 4 lukas staff 128 17 Mar 20:27 Keychron_Screen\ndrwx------@ 112 lukas staff 3584 2 Dec 09:19 Library\ndrwx------ 7 lukas staff 224 12 Feb 2024 Movies\ndrwx------+ 5 lukas staff 160 25 Sep 2023 Music\ndrwx------+ 9 lukas staff 288 25 Sep 2023 Pictures\ndrwx------ 3 lukas staff 96 8 Nov 2021 Postman\ndrwx------+ 4 lukas staff 128 28 Oct 2021 Public\n-rw-r--r--@ 1 lukas staff 3950 15 Dec 09:16 Untitled 4.spf\ndrwx------ 4 lukas staff 128 2 Jul 2023 Users\ndrwx------ 3 lukas staff 96 30 Sep 2022 iCloud Drive (Archive)\ndrwx------ 16 lukas staff 512 3 Nov 11:35 jiminny\ndrwxr-xr-x 3 lukas staff 96 20 Mar 18:47 node_modules\ndrwxr-xr-x 4 lukas staff 128 21 Oct 18:15 raycast\n-rw-r--r-- 1 lukas staff 0 1 Mar 14:26 response.bin\n-rwxr-xr-x 1 lukas staff 3824 11 Apr 15:16 screenpipe-day.sh\n-rw-r--r-- 1 lukas staff 86 20 Mar 18:47 yarn.lock\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano .zshrc \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ echo \"alias sp-status='curl -s http://localhost:3030/health | jq \\\"{status, frame_status, audio_status, last_frame: .last_frame_timestamp, uptime: .pipeline.uptime_secs, fps: .pipeline.capture_fps_actual, frames: .pipeline.frames_captured}\\\"'\" >> ~/.zprofile\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ source ~/.zprofile\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-status \n{\n \"status\": \"healthy\",\n \"frame_status\": \"ok\",\n \"audio_status\": \"disabled\",\n \"last_frame\": \"2026-04-11T18:47:17+03:00\",\n \"uptime\": 345.971219541,\n \"fps\": 0.0982740704417778,\n \"frames\": 34\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop\nscreenpipe stopped\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start \n[1] 41216\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-11T18:54:13.170097Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T18:54:13.812964Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T18:54:13.819889Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T18:54:13.819889Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T18:54:13.820291Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T18:54:13.820220Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T18:54:13.820450Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T18:54:13.820896Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T18:54:13.820856Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T18:54:13.821123Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T18:54:13.821801Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T18:54:13.821972Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T18:54:13.822128Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T18:54:13.822942Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T18:54:13.822962Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T18:54:13.824479Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T18:54:13.824829Z INFO screenpipe: starting UI event capture\n2026-04-11T18:54:13.828568Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T18:54:13.829646Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T18:54:13.838998Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T18:54:13.852999Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T18:54:13.853108Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 15:54:13.853107 UTC to 2026-04-11 15:54:13.853107 UTC)\n2026-04-11T18:54:13.853121Z INFO screenpipe_engine::ui_recorder: UI recording session started: 13f9ef4b-a7db-47ce-844f-778b4b926db5\n2026-04-11T18:54:13.854048Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T18:54:13.859344Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T18:54:13.864448Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T18:54:14.006638Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 878 frame entries, coverage from 2026-04-10 15:54:13.853107 UTC\n2026-04-11T18:54:14.161101Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T18:54:14.161134Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T18:54:14.161145Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T18:54:14.161153Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T18:54:14.161204Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T18:54:14.958802Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T18:54:15.096012Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1402, dur=52ms\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T18:54:18.859011Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T18:54:18.859467Z INFO screenpipe: local retention auto-enabled (14 days)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop\nscreenpipe stopped\n[1] + terminated npx screenpipe@latest record --disable-audio \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT DISTINCT window_name\nFROM frames\nWHERE app_name IN ('Safari', 'Firefox', 'Arc', 'Chrome')\nAND window_name IS NOT NULL\n UW PICO 5.09 New Buffer \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [ Read 13 lines ] \n^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos \n^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell \nORDER BY window_name;\"\nDXP4800PLUS-B5F8\nDXP4800PLUS-B5F8 — Personal\nDenník N - Nezávislý denník — Personal\nEdit profile — Personal\nLocation Logger\nLoď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal\nMaďarské voľby – Denník N — Personal\nPersonal — Mozilla Firefox\nPicture-in-Picture\nProblem loading page — Personal\nScreenpipe Dashboard — Personal\nSettings — Personal\nSign in – Google accounts — Personal\nTailscale — Personal\nUGREEN NAS — Personal\nVimium Options — Personal\nVimium – Get this Extension for 🦊\u0000 Firefox (en-US) — Personal\nfirefox sidebar - Google Search — Personal\ntilscale admin panel - Google Search — Personal\nOrder Room Service • HBO Max\nShameless • HBO Max\nShameless • HBO Max — Personal\nSimple Pleasures • HBO Max — Personal\nČasť 2 • HBO Max — Personal\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/config.json \n{\n \"disable_audio\": true,\n \"monitor_ids\": [\"Display 1_1440x900_0,0\", \"Display 2_3008x1253_-813,-1253\"],\n \"ignored_windows\": [\n \"1Password\",\n \"Keychain Access\",\n \"Bitwarden\",\n \"System Preferences\",\n \"System Settings\",\n \"zoom.us\",\n \"HBO Max\",\n ]\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe && sleep 2 && npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record \ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-11T19:00:06.546722Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T19:00:07.267955Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T19:00:07.269566Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T19:00:07.269564Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T19:00:07.269921Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T19:00:07.470439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T19:00:07.470481Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T19:00:07.470420Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T19:00:07.470877Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T19:00:07.471071Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T19:00:07.471748Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T19:00:07.471948Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T19:00:07.472085Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T19:00:07.472295Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T19:00:07.472315Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T19:00:07.473167Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T19:00:07.473787Z INFO screenpipe: starting UI event capture\n2026-04-11T19:00:07.476515Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T19:00:07.485630Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T19:00:07.489867Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T19:00:07.503670Z INFO screenpipe_engine::ui_recorder: UI recording session started: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2\n2026-04-11T19:00:07.503881Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T19:00:07.503967Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 16:00:07.503966 UTC to 2026-04-11 16:00:07.503966 UTC)\n2026-04-11T19:00:07.504283Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T19:00:07.509408Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T19:00:07.514386Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T19:00:07.659978Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 879 frame entries, coverage from 2026-04-10 16:00:07.503966 UTC\n2026-04-11T19:00:07.820721Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T19:00:07.820747Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T19:00:07.820758Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T19:00:07.820766Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T19:00:07.820805Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T19:00:08.565404Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T19:00:08.709384Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1403, dur=60ms\n2026-04-11T19:00:12.507772Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T19:00:12.508217Z INFO screenpipe: local retention auto-enabled (14 days)\n^C2026-04-11T19:00:14.475068Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-11T19:00:14.476266Z INFO screenpipe: stopping UI event capture\n2026-04-11T19:00:14.476480Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-11T19:00:14.476552Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-11T19:00:14.476564Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-11T19:00:14.476595Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-11T19:00:14.477268Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n\n2026-04-11T19:00:14.481053Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s) \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T19:00:14.624523Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2\n2026-04-11T19:00:14.624669Z INFO screenpipe: shutdown complete\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-11T19:00:31.694964Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T19:00:32.442217Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T19:00:32.443687Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T19:00:32.443694Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T19:00:32.444120Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T19:00:32.662907Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T19:00:32.662887Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T19:00:32.662980Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T19:00:32.663355Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T19:00:32.663550Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T19:00:32.664216Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T19:00:32.664395Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T19:00:32.664552Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T19:00:32.665488Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T19:00:32.665515Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T19:00:32.667186Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T19:00:32.667286Z INFO screenpipe: starting UI event capture\n2026-04-11T19:00:32.670076Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T19:00:32.672989Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T19:00:32.681327Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T19:00:32.695244Z INFO screenpipe_engine::ui_recorder: UI recording session started: 47668625-ff04-42f8-aa0d-f468ff11f0ff\n2026-04-11T19:00:32.695238Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T19:00:32.695298Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 16:00:32.695296 UTC to 2026-04-11 16:00:32.695296 UTC)\n2026-04-11T19:00:32.695769Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T19:00:32.701263Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T19:00:32.705041Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T19:00:32.852998Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 880 frame entries, coverage from 2026-04-10 16:00:32.695296 UTC\n2026-04-11T19:00:32.998691Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T19:00:32.998717Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T19:00:32.998728Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T19:00:32.998739Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T19:00:32.998790Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T19:00:33.736410Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T19:00:34.302357Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1404, dur=507ms\n2026-04-11T19:00:37.699366Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T19:00:37.699830Z INFO screenpipe: local retention auto-enabled (14 days)\n^C2026-04-11T19:00:42.463354Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-11T19:00:42.463443Z INFO screenpipe: stopping UI event capture\n2026-04-11T19:00:42.463473Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-11T19:00:42.463494Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-11T19:00:42.463501Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-11T19:00:42.463509Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-11T19:00:42.463516Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n\n2026-04-11T19:00:42.466209Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s) \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-11T19:00:42.589528Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 47668625-ff04-42f8-aa0d-f468ff11f0ff\n2026-04-11T19:00:42.589635Z INFO screenpipe: shutdown complete\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start\n[1] 42748\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-11T20:26:04.829554Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-11T20:26:05.341444Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-11T20:26:05.345218Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-11T20:26:05.345229Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-11T20:26:05.345415Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-11T20:26:05.345428Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-11T20:26:05.345477Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-11T20:26:05.345864Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-11T20:26:05.346065Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-11T20:26:05.346166Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-11T20:26:05.346730Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-11T20:26:05.346883Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-11T20:26:05.346990Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-11T20:26:05.347093Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-11T20:26:05.347108Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-11T20:26:05.348501Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-11T20:26:05.348754Z INFO screenpipe: starting UI event capture\n2026-04-11T20:26:05.353656Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-11T20:26:05.358540Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-11T20:26:05.363864Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-11T20:26:05.378325Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-11T20:26:05.378392Z INFO screenpipe_engine::ui_recorder: UI recording session started: 5b17c7fe-3811-4788-a81b-6b04773808f1\n2026-04-11T20:26:05.378564Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-10 17:26:05.378561 UTC to 2026-04-11 17:26:05.378561 UTC)\n2026-04-11T20:26:05.379467Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-11T20:26:05.384798Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-11T20:26:05.389960Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-11T20:26:05.528107Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 883 frame entries, coverage from 2026-04-10 17:26:05.378561 UTC\n2026-04-11T20:26:05.683177Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-11T20:26:05.683293Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-11T20:26:05.683303Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-11T20:26:05.683311Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-11T20:26:05.683359Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-11T20:26:06.488545Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-11T20:26:07.067446Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=1407, dur=537ms\n2026-04-11T20:26:08.752985Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-9215443531147982391, trigger=visual_change)\n2026-04-11T20:26:10.383131Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-11T20:26:10.383762Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-11T20:26:38.337011Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-9215443531147982391, trigger=click)\n2026-04-11T20:26:55.992688Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5606118560581161138, trigger=click)\n2026-04-11T20:26:57.331771Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5606118560581161138, trigger=click)\n2026-04-11T20:27:05.408691Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 61 eligible frames\n2026-04-11T20:27:09.664908Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 61 frames, 9.4MB → 3.3MB (2.8x), 61 JPEGs deleted\n2026-04-11T20:31:05.374969Z INFO screenpipe_engine::server: api_usage_5min: 1 requests\n2026-04-11T20:31:40.380610Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-28T17:31:40.380594+00:00 (14d retention)\n2026-04-11T20:32:09.668412Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 1 eligible frames\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000ls -lah ~/.screenpipe/data/data/ | head -20\ndu -sh ~/.screenpipe/data/data/*\ntotal 24\ndrwxr-xr-x 5 lukas staff 160B 11 Apr 14:52 .\ndrwxr-xr-x 5 lukas staff 160B 11 Apr 15:03 ..\n-rw-r--r--@ 1 lukas staff 8.0K 9 Apr 20:43 .DS_Store\ndrwxr-xr-x 14 lukas staff 448B 11 Apr 14:53 2026-04-09\ndrwxr-xr-x 98 lukas staff 3.1K 11 Apr 20:32 2026-04-11\n 39M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/data/data/2026-04-09\n 60M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/data/data/2026-04-11\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe \n234M\u0000\u0000\u0000\t/Users/lukas/.screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/\n234M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/*\n4.0K\u0000\u0000\u0000\t/Users/lukas/.screenpipe/config.json\n 99M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/data\n126M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/db.sqlite\n 32K\u0000\u0000\u0000\t/Users/lukas/.screenpipe/db.sqlite-shm\n8.0M\u0000\u0000\u0000\t/Users/lukas/.screenpipe/db.sqlite-wal\n 24K\u0000\u0000\u0000\t/Users/lukas/.screenpipe/pipes\n132K\u0000\u0000\u0000\t/Users/lukas/.screenpipe/screenpipe.2026-04-09.0.log\n132K\u0000\u0000\u0000\t/Users/lukas/.screenpipe/screenpipe.2026-04-11.0.log\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.12291667,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.12708333,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.24583334,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.25,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.36875,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.37291667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.49166667,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49583334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.6145833,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.61875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7375,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.7416667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.86041665,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8645833,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
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7423910877169441951
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idle
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zsh: command not found: lukas@Lukas-Kovaliks-MacBo zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: touch:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: bad pattern: unmount(/Volumes/screenpipe):
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: touch:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: cp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: scp:
zsh: command not found: scp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: scp:
zsh: command not found: scp:
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
zsh: command not found: total
zsh: command not found: drwxr-xr-x
zsh: command not found: drwxr-xr-x
zsh: file exists: /
zsh: command not found: drwx------
zsh: command not found: lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ scp ~/.screenpipe/db.sqlite Adm1n@[IP_ADDRESS]:/volume1/screenpipe/db.sqlite
scp: dest open "/volume1/screenpipe/db.sqlite": No such file or directory
scp: failed to upload file /Users/lukas/.screenpipe/db.sqlite to /volume1/screenpipe/db.sqlite
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls
Macintosh HD screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 32
drwxr-xr-x 4 root wheel 128 11 Apr 16:35 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 16:34 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/db.sqlite
cp: /Volumes/Test/screenpipe/db.sqlite: No such file or directory
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/
cp: directory /Volumes/Test/screenpipe does not exist
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/Test/screenpipe/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/db.sqlite
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp ~/.screenpipe/db.sqlite /Volumes/screenpipe/
cp: /Volumes/screenpipe/db.sqlite: Operation not permitted
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ll
total 96
drwxr-xr-x 6 root wheel 192 11 Apr 16:45 .
drwxr-xr-x 20 root wheel 640 4 Aug 2024 ..
drwx------ 1 lukas staff 16384 10 Aug 2025 Apps
lrwxr-xr-x 1 root wheel 1 11 Apr 11:13 Macintosh HD -> /
drwx------ 1 lukas staff 16384 11 Apr 15:46 Test
drwx------ 1 lukas staff 16384 11 Apr 16:47 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/pipes/ /Volumes/Test/screenpipe/pipes/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cp -r ~/.screenpipe/data/data/ /Volumes/Test/screenpipe/data/
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sed 's|$HOME/.screenpipe/db.sqlite|/volume1/Test/screenpipe/db.sqlite|g' ~/screenpipe-day.sh > /volume1/Test/screenpipe/screenpipe-day.sh
zsh: no such file or directory: /volume1/Test/screenpipe/screenpipe-day.sh
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cat ~/screenpipe-day.sh
#!/bin/zsh
DB="$HOME/.screenpipe/db.sqlite"
DATE=${1:-$(date -v-1d '+%Y-%m-%d')}
echo "═══════════════════════════════════════"
echo " SCREENPIPE REPORT — $DATE"
echo "═══════════════════════════════════════"
echo "\n📱 APP USAGE (frames + estimated time)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-30s %5d frames ~%5.1f min', app_name, COUNT(*), ROUND(COUNT(*) * 4.5 / 60.0, 1))
FROM frames
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY app_name ORDER BY COUNT(*) DESC;"
echo "\n⌨️ ACTIVITY TYPE PER APP (clicks / keys / switches)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-25s clicks:%-5d keys:%-5d switches:%-4d',
app_name,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END),
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END),
SUM(CASE WHEN event_type='app_switch' THEN 1 ELSE 0 END))
FROM ui_events
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY app_name ORDER BY COUNT(*) DESC;"
echo "\n🌐 BROWSER URLS VISITED"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%4d frames %s', COUNT(*), browser_url)
FROM frames
WHERE date(timestamp) = '$DATE' AND browser_url IS NOT NULL
GROUP BY browser_url ORDER BY COUNT(*) DESC LIMIT 20;"
echo "\n🪟 WINDOW TITLES (top 20)"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-20s %3d %s', app_name, COUNT(*), SUBSTR(window_name,1,60))
FROM frames
WHERE date(timestamp) = '$DATE' AND window_name IS NOT NULL AND app_name IS NOT NULL
GROUP BY app_name, window_name ORDER BY COUNT(*) DESC LIMIT 20;"
echo "\n🕐 HOURLY TIMELINE"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%s %-20s %3d frames', strftime('%H:00', timestamp), app_name, COUNT(*))
FROM frames
WHERE date(timestamp) = '$DATE' AND app_name IS NOT NULL
GROUP BY strftime('%H', timestamp), app_name
ORDER BY strftime('%H', timestamp), COUNT(*) DESC;"
echo "\n📋 CLIPBOARD ACTIVITY"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-20s %s', app_name, SUBSTR(text_content, 1, 80))
FROM ui_events
WHERE date(timestamp) = '$DATE' AND event_type = 'clipboard' AND text_content IS NOT NULL
ORDER BY timestamp LIMIT 20;"
echo "\n💬 OCR TEXT SAMPLES PER APP"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT printf('%-15s %s', o.app_name, SUBSTR(o.text, 1, 80))
FROM ocr_text o
JOIN frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$DATE' AND o.app_name IS NOT NULL AND o.text != ''
GROUP BY o.app_name
ORDER BY o.app_name LIMIT 15;"
echo "\n🔢 TOTALS"
echo "───────────────────────────────────────"
sqlite3 "$DB" "
SELECT
'Frames: ' || COUNT(*) FROM frames WHERE date(timestamp) = '$DATE';
"
sqlite3 "$DB" "
SELECT 'UI Events: ' || COUNT(*) FROM ui_events WHERE date(timestamp) = '$DATE';
"
sqlite3 "$DB" "
SELECT 'OCR texts: ' || COUNT(*) FROM ocr_text o JOIN frames f ON o.frame_id = f.id WHERE date(f.timestamp) = '$DATE';
"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ curl -X POST [URL_WITH_CREDENTIALS] /Volumes $ curl -X POST [URL_WITH_CREDENTIALS] /Volumes $ curl [URL_WITH_CREDENTIALS] /Volumes $ curl -s [URL_WITH_CREDENTIALS] /Volumes $ echo "alias sp-status='curl -s [URL_WITH_CREDENTIALS] /Volumes $ sp-status
zsh: command not found: sp-status
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ source ~/.zprofile
Poetry could not find a pyproject.toml file in /Volumes or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ sp-status
zsh: command not found: sp-status
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ zp
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ ls
Apps Macintosh HD Test screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny /Volumes $ cd
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ll
total 1272
drwx------+ 89 lukas staff 2848 11 Apr 18:38 .
drwxr-xr-x 5 root admin 160 23 Aug 2024 ..
-r-------- 1 lukas staff 7 18 Nov 2021 .CFUserTextEncoding
-rw-r--r--@ 1 lukas staff 22532 11 Apr 16:46 .DS_Store
drwx------+ 2 lukas staff 64 11 Apr 11:15 .Trash
drwx------ 5 lukas staff 160 1 Nov 2021 .aws
-rw-r--r-- 1 lukas staff 341470 29 Sep 2022 .babel.json
-rw-------@ 1 lukas staff 388 25 Jul 2025 .bash_history
-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .bashrc
drwxr-xr-x 5 lukas staff 160 11 Mar 2023 .bito
drwx------@ 6 lukas staff 192 9 Apr 19:53 .cache
drwxr-xr-x 20 lukas staff 640 9 Apr 21:21 .claude
-rw------- 1 lukas staff 24973 9 Apr 21:24 .claude.json
drwxr-xr-x@ 20 lukas staff 640 12 Mar 09:12 .codeium
drwxrwxrwx@ 3 lukas staff 96 2 Mar 2023 .composer
drwx------ 16 lukas staff 512 21 May 2025 .config
drwxr-xr-x 15 lukas staff 480 23 Dec 2024 .continue
drwx------@ 3 lukas staff 96 16 Feb 19:13 .copilot
drwxr-xr-x@ 5 lukas staff 160 9 Apr 2025 .cursor
drwxr-xr-x@ 5 lukas staff 160 17 Aug 2024 .cursor-tutor
drwxr-xr-x 3 lukas staff 96 8 Sep 2024 .daytona
drwxr-xr-x@ 4 lukas staff 128 18 Feb 10:52 .devdb
drwx------ 24 lukas staff 768 9 Apr 18:24 .docker
drwx------ 15 lukas staff 480 6 Jun 2023 .dropbox
drwxr-xr-x@ 3 lukas staff 96 20 Nov 2022 .fig.dotfiles.bak
-rw-r--r-- 1 lukas staff 138 5 Mar 2022 .gauth
-rw-r--r-- 1 lukas staff 220 25 Nov 2021 .gitconfig
-rw-r--r-- 1 lukas staff 12288 25 Nov 2021 .gitconfig.swp
drwx------ 5 lukas staff 160 18 Nov 2021 .hammerspoon
drwxr-xr-x 3 lukas staff 96 21 Mar 2025 .idlerc
-rw------- 1 lukas staff 20 31 Mar 18:32 .lesshst
drwx------ 5 lukas staff 160 23 Dec 2024 .local
-rw------- 1 lukas staff 204 16 Mar 2024 .netrc
drwx------ 3 lukas staff 96 1 Nov 2021 .node-gyp
-rw------- 1 lukas staff 4 6 Feb 2024 .node_repl_history
-rw-r--r-- 1 lukas staff 17 24 Dec 2023 .notion-enhancer
drwxr-xr-x 4 lukas staff 128 12 Jul 2024 .notion-py
drwx------ 9 lukas staff 288 11 Apr 18:41 .npm
-rw------- 1 lukas staff 74 20 May 2024 .npmrc
drwx------ 32 lukas staff 1024 25 Jul 2025 .nvm
drwxr-xr-x 4 lukas staff 128 5 Aug 2023 .postman
-rw-r--r--@ 1 lukas staff 77 9 Feb 2023 .profile
-rw-------@ 1 lukas staff 3153 21 Mar 2025 .python_history
drwx------ 2 lukas staff 64 15 Nov 2021 .quicktype-vscode
drwxr-xr-x@ 8 lukas staff 256 16 Feb 08:48 .redis-insight
drwxr-xr-x 10 lukas staff 320 11 Apr 14:52 .screenpipe
UW PICO 5.09 New Buffer
[ Read 11 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
drwxr-xr-x 4 lukas staff 128 4 Feb 09:35 .sonarlint
drwx------ 15 lukas staff 480 8 Aug 2025 .ssh
drwxr-xr-x@ 3 lukas staff 96 15 Aug 2025 .streamlit
drwx------ 6 lukas staff 192 17 Oct 2022 .swiftpm
-rw------- 1 lukas staff 12183 8 Apr 19:14 .viminfo
drwx------ 5 lukas staff 160 19 Jun 2023 .vscode
drwxr-xr-x@ 3 lukas staff 96 20 Jan 2025 .warp
drwxr-xr-x 4 lukas staff 128 29 Apr 2023 .wdm
drwxr-xr-x@ 5 lukas staff 160 26 Jan 13:03 .windsurf
drwxr-xr-x 4 lukas staff 128 24 Mar 12:03 .yarn
-rw-r--r-- 1 lukas staff 116 30 Mar 10:12 .yarnrc
-rw-r--r--@ 1 lukas staff 49518 6 Apr 14:31 .zcompdump
-rw-r--r--@ 1 lukas staff 46758 2 Nov 20:34 .zcompdump.Lukas-Kovaliks-MacBook-Pro-Jiminny.23381
-rw-r--r--@ 1 lukas staff 5641 9 Apr 20:30 .zprofile
-rw-r--r-- 1 lukas staff 1468 8 Apr 2022 .zprofile-copy
-rw-r--r--@ 1 lukas staff 2900 15 Mar 2023 .zprofile.pysave
-rw------- 1 lukas staff 1731 29 Jun 2022 .zprofile.save
-rw-r--r-- 1 lukas staff 1569 8 Apr 2022 .zprofilees
UW PICO 5.09 New Buffer
[ Read 13 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
-rw------- 1 lukas staff 28812 11 Apr 18:38 .zsh_history
drwx------ 9 lukas staff 288 6 May 2025 .zsh_sessions
-rw-r--r--@ 1 lukas staff 597 11 Apr 18:44 .zshrc
drwx------@ 9 lukas staff 288 9 Apr 20:08 Applications
drwxr-xr-x@ 2 lukas staff 64 22 Oct 09:35 CascadeProjects
drwxr-xr-x 4 lukas staff 128 27 Oct 09:24 DEV
drwx------@ 10 lukas staff 320 11 Apr 18:31 Desktop
drwx------@ 7 lukas staff 224 26 Mar 14:40 Documents
drwx------@ 41 lukas staff 1312 8 Apr 20:46 Downloads
drwxr-xr-x@ 4 lukas staff 128 17 Mar 20:27 Keychron_Screen
drwx------@ 112 lukas staff 3584 2 Dec 09:19 Library
drwx------ 7 lukas staff 224 12 Feb 2024 Movies
drwx------+ 5 lukas staff 160 25 Sep 2023 Music
drwx------+ 9 lukas staff 288 25 Sep 2023 Pictures
drwx------ 3 lukas staff 96 8 Nov 2021 Postman
drwx------+ 4 lukas staff 128 28 Oct 2021 Public
-rw-r--r--@ 1 lukas staff 3950 15 Dec 09:16 Untitled 4.spf
drwx------ 4 lukas staff 128 2 Jul 2023 Users
drwx------ 3 lukas staff 96 30 Sep 2022 iCloud Drive (Archive)
drwx------ 16 lukas staff 512 3 Nov 11:35 jiminny
drwxr-xr-x 3 lukas staff 96 20 Mar 18:47 node_modules
drwxr-xr-x 4 lukas staff 128 21 Oct 18:15 raycast
-rw-r--r-- 1 lukas staff 0 1 Mar 14:26 response.bin
-rwxr-xr-x 1 lukas staff 3824 11 Apr 15:16 screenpipe-day.sh
-rw-r--r-- 1 lukas staff 86 20 Mar 18:47 yarn.lock
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano .zshrc
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ echo "alias sp-status='curl -s [URL_WITH_CREDENTIALS] ~ $ source ~/.zprofile
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-status
{
"status": "healthy",
"frame_status": "ok",
"audio_status": "disabled",
"last_frame": "2026-04-11T18:47:17+03:00",
"uptime": 345.971219541,
"fps": 0.[CREDIT_CARD],
"frames": 34
}
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop
screenpipe stopped
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start
[1] 41216
detected hardware tier: Mid
checking permissions...
screen recording: ok
accessibility: ok
2026-04-11T18:54:13.170097Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T18:54:13.812964Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T18:54:13.819889Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T18:54:13.819889Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T18:54:13.820291Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T18:54:13.820220Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T18:54:13.820450Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T18:54:13.820896Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T18:54:13.820856Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T18:54:13.821123Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T18:54:13.821801Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T18:54:13.821972Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T18:54:13.822128Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T18:54:13.822942Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T18:54:13.822962Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ true │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ disabled │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T18:54:18.859011Z INFO screenpipe_engine::retention: retention: initialized with 14d retention
2026-04-11T18:54:18.859467Z INFO screenpipe: local retention auto-enabled (14 days)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-stop
screenpipe stopped
[1] + terminated npx screenpipe@latest record --disable-audio
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT DISTINCT window_name
FROM frames
WHERE app_name IN ('Safari', 'Firefox', 'Arc', 'Chrome')
AND window_name IS NOT NULL
UW PICO 5.09 New Buffer
[ Read 13 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Pg ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where is ^V Next Pg ^U UnCut Text ^T To Spell
ORDER BY window_name;"
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8 — Personal
Denník N - Nezávislý denník — Personal
Edit profile — Personal
Location Logger
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal
Maďarské voľby – Denník N — Personal
Personal — Mozilla Firefox
Picture-in-Picture
Problem loading page — Personal
Screenpipe Dashboard — Personal
Settings — Personal
Sign in – Google accounts — Personal
Tailscale — Personal
UGREEN NAS — Personal
Vimium Options — Personal
Vimium – Get this Extension for 🦊 Firefox (en-US) — Personal
firefox sidebar - Google Search — Personal
tilscale admin panel - Google Search — Personal
Order Room Service • HBO Max
Shameless • HBO Max
Shameless • HBO Max — Personal
Simple Pleasures • HBO Max — Personal
Časť 2 • HBO Max — Personal
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/config.json
{
"disable_audio": true,
"monitor_ids": ["Display 1_1440x900_0,0", "Display 2_3008x1253_-813,-1253"],
"ignored_windows": [
"1Password",
"Keychain Access",
"Bitwarden",
"System Preferences",
"System Settings",
"zoom.us",
"HBO Max",
]
}
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ nano ~/.screenpipe/config.json
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe && sleep 2 && npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pkill screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-11T19:00:06.546722Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T19:00:07.267955Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T19:00:07.269566Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T19:00:07.269564Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T19:00:07.269921Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T19:00:07.470439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T19:00:07.470481Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T19:00:07.470420Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T19:00:07.470877Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T19:00:07.471071Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T19:00:07.471748Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T19:00:07.471948Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T19:00:07.472085Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T19:00:07.472295Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T19:00:07.472315Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T19:00:14.624523Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 6b15bcb7-6588-4b6b-9ae5-5a3b50fba2a2
2026-04-11T19:00:14.624669Z INFO screenpipe: shutdown complete
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-11T19:00:31.694964Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T19:00:32.442217Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T19:00:32.443687Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T19:00:32.443694Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T19:00:32.444120Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T19:00:32.662907Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T19:00:32.662887Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T19:00:32.662980Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T19:00:32.663355Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T19:00:32.663550Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T19:00:32.664216Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T19:00:32.664395Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T19:00:32.664552Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T19:00:32.665488Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-11T19:00:32.665515Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] ~ $ 2026-04-11T19:00:42.589528Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 47668625-ff04-42f8-aa0d-f468ff11f0ff
2026-04-11T19:00:42.589635Z INFO screenpipe: shutdown complete
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sp-start
[1] 42748
detected hardware tier: Mid
checking permissions...
screen recording: ok
accessibility: ok
2026-04-11T20:26:04.829554Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-11T20:26:05.341444Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-11T20:26:05.345218Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-11T20:26:05.345229Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-11T20:26:05.345415Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-11T20:26:05.345428Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-11T20:26:05.345477Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-11T20:26:05.345864Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-11T20:26:05.346065Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-11T20:26:05.346166Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-11T20:26:05.346730Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-11T20:26:05.346883Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-11T20:26:05.346990Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-11T20:26:05.347093Z INFO...
|
NULL
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1485
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33
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7
|
2026-04-11T17:33:59.685601+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928839685_m1.jpg...
|
Code
|
✻ [Claude Code] elements.py (elements.py) — screen ✻ [Claude Code] elements.py (elements.py) — screenpipe [SSH: 100.73.206.126]...
|
True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update, 1 requires restart
3
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
✻ [Claude Code] elements.py (elements.py), Editor Group 1
Build screenpipe data UI…, Editor Group 2...
|
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Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
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Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update, 1 requires restart
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Claude Code
Containers
EXPLORER
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Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
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pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
✻ [Claude Code] elements.py (elements.py), Editor Group 1
Build screenpipe data UI…, Editor Group 2...
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Close tab
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
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Bitwarden
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Denník N
Denník N
Vyhľadávaný výraz
Hľadaj
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HU
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Otvoriť hlavné menu
MENU
SVET
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DONALD TRUMP
DONALD TRUMP
IRÁN
IRÁN
VIKTOR ORBÁN
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VOJNA NA UKRAJINE
VOJNA NA UKRAJINE
KONFLIKT NA BLÍZKOM VÝCHODE
KONFLIKT NA BLÍZKOM VÝCHODE
MAĎARSKÉ VOĽBY
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USA
USA
RUSKO
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VÝVOJ BOJOV NA UKRAJINE
VÝVOJ BOJOV NA UKRAJINE
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Irán
Irán
ODOBERAŤ
ODOBERAŤ
36 hodín chaosu: Ako Trump hrozbou o vyhladení Iránu pokazil rokovania (reportáž denníka New York Times)
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36 hodín chaosu: Ako Trump hrozbou o vyhladení Iránu pokazil rokovania (reportáž denníka New York Times)
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10. apríla 2026
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Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
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Inbox - [EMAIL] - Gmail
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Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
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Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
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Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
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Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
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http://localhost:3030
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
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Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
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Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
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Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Close tab
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
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Tabs from other devices
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Screenpipe
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Search
Audio
Work Report
AI Summary
Date
11
/
04
/
2026
Calendar
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1.0h
14:52 → 15:54
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SESSIONS
1
62m
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612
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1344
AUDIO
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14:52 → 15:54
TIME PER APP
— CLICK TO FILTER RIGHT PANEL
iTerm2
5.2m
Firefox
1.5m
Finder
0.6m
QuickTime Player
0.5m
NetAuthAgent
0.1m
Raycast
0.1m
Websites
Windows
UI Events
nas.lakylak.xyz/desktop/#/
0.7m
play.hbomax.com/video/watch/6b742798-e5fa-4f90-8beb-74c328dc5028/65d19c63-e85e-4392-8594-f0f2e0a1dc2d
0.1m
nas.lakylak.xyz/desktop/#/login/account
0.1m
login.tailscale.com/login?next_url=%2Fadmin
0.1m
dennikn.sk/5263377/lod-orion-uspesne-pristala-na-zemi-desat-veci-ktore-si-pamatat-na-misii-artemis-ii/
0.1m
http://localhost:3030
0m
addons.mozilla.org/en-US/firefox/addon/vimium-ff/?utm_source=addons.mozilla.org&utm_medium=referral&utm_content=search
0m
accounts.google.com/v3/signin/accountchooser?access_type=offline&client_id=674241127656-lmq9su4p8ni1tcpuh6eqidoornqtvmvi.apps.googleusercontent.com&prompt=select_account&redirect_uri=https%3A%2F%2Flogin.tailscale.com%2Fa%2Foauth_response&response_type=code&scope=openid+email+profile&state=tc-ftYwP8oB0urJfQZeh42KPfA&dsh=S1949714251%3A1775911302074699&o2v=2&service=lso&flowName=GeneralOAuthFlow&opparams=%253F&continue=https%3A%2F%2Faccounts.google.com%2Fsignin%2Foauth%2Fconsent%3Fauthuser%3Dunknown%26part%3DAJi8hAOOoeMJ9h1ZWE-Aau2rWQdjwJ-4Enpv6Ci-0hiDSq5jW9TsVTl1btOELm96_EZaQdgfRwBdj1zZGB_CYauRC0fkTqY_cZ35H_NcJOU2_4Ax0Gtto-fKf-nDgh4daUIBqdTh68bjSxOce25-KnK0XYdHV8mzb69bNhDZHVDj_gb42yLS6CaLOtRfvBqDUDqR3SzLMQPfBkXHhJz6IM_7wq52TLTL563ihzeGQBECsxCnD1Yk27REW5r_eZ0TNXkkAX7P1hB8gAkBKuZVXHltsgP7jvfc8R1fsuXURwjdV8kBOMOg3Reld6-0t5nB9qwgvuYCJsuo0Q7IMz9o-t41651a_Wsc0FnlTxFC_0DA-eKXtSlPZHRy9BW_O_UgliMh8Y9cnLpKZ4r9A_LwCm6flXHR1tZWe_NA_YGhQ9EYSdByTuW1hMcIXXh1Alssc0Sb9BtxZ5mPnlLjTXaWd8LEtCrsHv1HQQ%26flowName%3DGeneralOAuthFlow%26as%3DS1949714251%253A1775911302074699%26client_id%3D674241127656-lmq9su4p8ni1tcpuh6eqidoornqtvmvi.apps.googleusercontent.com%26requestPath%3D%252Fsignin%252Foauth%252Fconsent%23&app_domain=https%3A%2F%2Flogin.tailscale.com
0m...
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click
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accessibility
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Close tab
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Screenpipe
Screenpipe
Activity
Search
Audio
Work Report
AI Summary
Date
11
/
04
/
2026
Calendar
TOTAL SPAN
1.0h
14:52 → 15:54
ACTIVE
1.0h
BREAKS
0 breaks · 0.0h
SESSIONS
1
62m
FRAMES
612
APPS
6
UI EVENTS
1344
AUDIO
0
ACTIVE PERIOD
14:52 → 15:54
TIME PER APP
— CLICK TO FILTER RIGHT PANEL
iTerm2
5.2m
Firefox
1.5m
Finder
0.6m
QuickTime Player
0.5m
NetAuthAgent
0.1m
Raycast
0.1m
Websites
Windows
UI Events
nas.lakylak.xyz/desktop/#/
0.7m
play.hbomax.com/video/watch/6b742798-e5fa-4f90-8beb-74c328dc5028/65d19c63-e85e-4392-8594-f0f2e0a1dc2d
0.1m
nas.lakylak.xyz/desktop/#/login/account
0.1m
login.tailscale.com/login?next_url=%2Fadmin
0.1m
dennikn.sk/5263377/lod-orion-uspesne-pristala-na-zemi-desat-veci-ktore-si-pamatat-na-misii-artemis-ii/
0.1m
http://localhost:3030
0m
addons.mozilla.org/en-US/firefox/addon/vimium-ff/?utm_source=addons.mozilla.org&utm_medium=referral&utm_content=search
0m
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2026-04-11T17:34:42.841209+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928882841_m1.jpg...
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Firefox
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Screenpipe Dashboard — Personal
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True
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http://100.73.206.126:8766
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monitor_1
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NULL
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NULL
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NULL
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Close tab
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
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Tabs from other devices
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Bitwarden
Screenpipe
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Search
Audio
Work Report
AI Summary
Date
11
/
04
/
2026
Calendar
TOTAL SPAN
1.0h
14:52 → 15:54
ACTIVE
1.0h
BREAKS
0 breaks · 0.0h
SESSIONS
1
62m
FRAMES
612
APPS
6
UI EVENTS
1344
AUDIO
0
ACTIVE PERIOD
14:52 → 15:54
TIME PER APP
— CLICK TO FILTER RIGHT PANEL
iTerm2
5.2m
Firefox
1.5m
Finder
0.6m
QuickTime Player
0.5m
NetAuthAgent
0.1m
Raycast
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Websites
Windows
UI Events
nas.lakylak.xyz/desktop/#/
0.7m
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0m
dennikn.sk/5263377/lod-orion-uspesne-pristala-na-zemi-desat-veci-ktore-si-pamatat-na-misii-artemis-ii/
✕ Close
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14:52
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal
14:54
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal...
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Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
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Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Close tab
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
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Bitwarden
Screenpipe
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Search
Audio
Work Report
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Date
11
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04
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2026
Calendar
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✕ Close
2 frames · ~0.1 min · 0 screenshots available
Timeline
No Screenshots
14:52
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal
14:54
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N — Personal...
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Close tab
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Screenpipe
Screenpipe
Activity
Search
Audio
Work Report
AI Summary
Date
11
/
04
/
2026
Calendar
TOTAL SPAN
1.0h
14:52 → 15:54
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1.0h
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1
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14:52 → 15:54
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5.2m
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1.5m
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9017845113719419888
|
-5356181436857692964
|
click
|
accessibility
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NULL
|
DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Close tab
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Screenpipe
Screenpipe
Activity
Search
Audio
Work Report
AI Summary
Date
11
/
04
/
2026
Calendar
TOTAL SPAN
1.0h
14:52 → 15:54
ACTIVE
1.0h
BREAKS
0 breaks · 0.0h
SESSIONS
1
62m
FRAMES
612
APPS
6
UI EVENTS
1344
AUDIO
0
ACTIVE PERIOD
14:52 → 15:54
TIME PER APP
— CLICK TO FILTER RIGHT PANEL
iTerm2
5.2m
Firefox
1.5m
Finder
0.6m
QuickTime Player
0.5m
NetAuthAgent
0.1m
Raycast
0.1m
Websites
Windows
UI Events
nas.lakylak.xyz/desktop/#/
0.7m
play.hbomax.com/video/watch/6b742798-e5fa-4f90-8beb-74c328dc5028/65d19c63-e85e-4392-8594-f0f2e0a1dc2d
0.1m
nas.lakylak.xyz/desktop/#/login/account
0.1m
login.tailscale.com/login?next_url=%2Fadmin
0.1m
dennikn.sk/5263377/lod-orion-uspesne-pristala-na-zemi-desat-veci-ktore-si-pamatat-na-misii-artemis-ii/
0.1m
http://localhost:3030
0m
addons.mozilla.org/en-US/firefox/addon/vimium-ff/?utm_source=addons.mozilla.org&utm_medium=referral&utm_content=search
0m
accounts.google.com/v3/signin/accountchooser?access_type=offline&client_id=674241127656-lmq9su4p8ni1tcpuh6eqidoornqtvmvi.apps.googleusercontent.com&prompt=select_account&redirect_uri=https%3A%2F%2Flogin.tailscale.com%2Fa%2Foauth_response&response_type=code&scope=openid+email+profile&state=tc-ftYwP8oB0urJfQZeh42KPfA&dsh=S1949714251%3A1775911302074699&o2v=2&service=lso&flowName=GeneralOAuthFlow&opparams=%253F&continue=https%3A%2F%2Faccounts.google.com%2Fsignin%2Foauth%2Fconsent%3Fauthuser%3Dunknown%26part%3DAJi8hAOOoeMJ9h1ZWE-Aau2rWQdjwJ-4Enpv6Ci-0hiDSq5jW9TsVTl1btOELm96_EZaQdgfRwBdj1zZGB_CYauRC0fkTqY_cZ35H_NcJOU2_4Ax0Gtto-fKf-nDgh4daUIBqdTh68bjSxOce25-KnK0XYdHV8mzb69bNhDZHVDj_gb42yLS6CaLOtRfvBqDUDqR3SzLMQPfBkXHhJz6IM_7wq52TLTL563ihzeGQBECsxCnD1Yk27REW5r_eZ0TNXkkAX7P1hB8gAkBKuZVXHltsgP7jvfc8R1fsuXURwjdV8kBOMOg3Reld6-0t5nB9qwgvuYCJsuo0Q7IMz9o-t41651a_Wsc0FnlTxFC_0DA-eKXtSlPZHRy9BW_O_UgliMh8Y9cnLpKZ4r9A_LwCm6flXHR1tZWe_NA_YGhQ9EYSdByTuW1hMcIXXh1Alssc0Sb9BtxZ5mPnlLjTXaWd8LEtCrsHv1HQQ%26flowName%3DGeneralOAuthFlow%26as%3DS1949714251%253A1775911302074699%26client_id%3D674241127656-lmq9su4p8ni1tcpuh6eqidoornqtvmvi.apps.googleusercontent.com%26requestPath%3D%252Fsignin%252Foauth%252Fconsent%23&app_domain=https%3A%2F%2Flogin.tailscale.com
0m...
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NULL
|
|
1500
|
33
|
22
|
2026-04-11T17:35:05.491922+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928905491_m1.jpg...
|
Code
|
Build screenpipe data UI… — screenpipe [SSH: 100.7 Build screenpipe data UI… — screenpipe [SSH: 100.73.206.126]...
|
True
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NULL
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monitor_1
|
NULL
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NULL
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NULL
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NULL
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update, 1 requires restart
3
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
elements.py
interactions.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
Build screenpipe data UI…, Editor Group 2
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DEBUG CONSOLE
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remote SSH: [IP_ADDRESS]
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Screen Reader Optimized
Diff editor
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
Copy code to clipboard
OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
Copy code to clipboard
OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
Copy code to clipboard
OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
Copy code to clipboard
OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
Copy code to clipboard
OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
Copy code to clipboard
OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
Copy code to clipboard
OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
Copy code to clipboard
/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
Copy code to clipboard
python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?
Message actions
seesm ok
Thinking
Thinking
Bash
Check Python and available packages
IN
python3 --version && pip3 list 2>/dev/null | grep -E "fastapi|uvicorn|click|anthropic|httpx|jinja"
Copy code to clipboard...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E) - 1 unsaved file","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G)","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug (⇧⌘D)","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require update, 1 requires restart","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"3","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Claude Code","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"Containers","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"EXPLORER","depth":17,"role_description":"heading"},{"role":"AXStaticText","text":"EXPLORER","depth":18,"role_description":"text"},{"role":"AXButton","text":"Explorer Section: screenpipe [SSH: 100.73.206.126]","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"Explorer Section: screenpipe [SSH: 100.73.206.126]","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"SCREENPIPE [SSH: 100.73.206.126]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"#recycle","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"app","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"consumers","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"__init__.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"activity.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"audio.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"elements.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"interactions.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"ocr.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"report.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"summary.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"static","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"db.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"docker-compose.yml","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"Dockerfile","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"data","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"pipes","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"db.sqlite","depth":27,"role_description":"text"},{"role":"AXButton","text":"Outline Section","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"OUTLINE","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"OUTLINE","depth":23,"role_description":"text"},{"role":"AXButton","text":"Timeline Section","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"TIMELINE","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"TIMELINE","depth":23,"role_description":"text"},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"#!/bin/bash • Untitled-1, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"report.py, preview, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXStaticText","text":"","depth":29,"role_description":"text"},{"role":"AXStaticText","text":"","depth":29,"role_description":"text"},{"role":"AXTextArea","text":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","depth":28,"value":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","role_description":"editor","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","depth":29,"role_description":"text"},{"role":"AXRadioButton","text":"Build screenpipe data UI…, Editor Group 2","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Ports","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"role_description":"text"},{"role":"AXButton","text":"remote SSH: 100.73.206.126","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"SSH: 100.73.206.126","depth":17,"role_description":"text"},{"role":"AXButton","text":"No Problems","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXButton","text":"No Ports Forwarded","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXButton","text":"Update is ready, click to restart.","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"Update is ready, click to restart.","depth":17,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"role_description":"text"},{"role":"AXButton","text":"Screen Reader Optimized","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diff editor","depth":12,"role_description":"text"},{"role":"AXButton","text":"Build screenpipe data UI and summary app","depth":18,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":18,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":18,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":23,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Let me explore the screenpipe directory to understand what we're working with.","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List screenpipe directory contents","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"data\ndb.sqlite\npipes\n#recycle\n[rerun: b1]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List data and pipes directories","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09\n2026-04-11\nai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n[rerun: b2]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List tables in screenpipe SQLite database","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \".tables\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"_sqlx_migrations meetings \naudio_chunks memories \naudio_tags memories_fts \naudio_transcriptions memories_fts_config \naudio_transcriptions_fts memories_fts_data \naudio_transcriptions_fts_config memories_fts_docsize \naudio_transcriptions_fts_data memories_fts_idx \naudio_transcriptions_fts_docsize ocr_text \naudio_transcriptions_fts_idx pipe_executions \nelements pipe_scheduler_state \nelements_fts speaker_embeddings \nelements_fts_config speakers \nelements_fts_data tags \nelements_fts_docsize ui_events \nelements_fts_idx ui_events_fts \nframes ui_events_fts_config \nframes_fts ui_events_fts_data \nframes_fts_config ui_events_fts_docsize \nframes_fts_content ui_events_fts_idx \nframes_fts_data video_chunks \nframes_fts_docsize vision_tags \nframes_fts_idx\n[rerun: b3]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get ocr_text table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(ocr_text);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|frame_id|INTEGER|1||0\n1|text|TEXT|1||0\n2|text_json|TEXT|0||0\n3|app_name|TEXT|1|''|0\n4|ocr_engine|TEXT|1|'unknown'|0\n5|window_name|TEXT|0||0\n6|focused|BOOLEAN|0|FALSE|0\n7|text_length|INTEGER|0||0\n8|sync_id|TEXT|0||0\n9|synced_at|DATETIME|0||0\n[rerun: b4]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get audio_transcriptions table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(audio_transcriptions);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|audio_chunk_id|INTEGER|1||0\n2|offset_index|INTEGER|1||0\n3|timestamp|TIMESTAMP|1||0\n4|transcription|TEXT|1||0\n5|device|TEXT|1|''|0\n6|is_input_device|BOOLEAN|1|TRUE|0\n7|speaker_id|INTEGER|0||0\n8|transcription_engine|TEXT|1|'Whisper'|0\n9|start_time|REAL|0||0\n10|end_time|REAL|0||0\n11|text_length|INTEGER|0||0\n12|sync_id|TEXT|0||0\n13|synced_at|DATETIME|0||0\n[rerun: b5]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get frames, ui_events, video_chunks schemas","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|video_chunk_id|INTEGER|0|NULL|0\n2|offset_index|INTEGER|1|0|0\n3|timestamp|TIMESTAMP|1||0\n4|name|TEXT|0||0\n5|app_name|TEXT|0|NULL|0\n6|window_name|TEXT|0|NULL|0\n7|focused|BOOLEAN|0|NULL|0\n8|browser_url|TEXT|0|NULL|0\n9|device_name|TEXT|1|''|0\n10|sync_id|TEXT|0||0\n11|machine_id|TEXT|0||0\n12|synced_at|DATETIME|0||0\n13|snapshot_path|TEXT|0|NULL|0\n14|accessibility_text|TEXT|0|NULL|0\n15|accessibility_tree_json|TEXT|0|NULL|0\n16|content_hash|INTEGER|0|NULL|0\n17|simhash|INTEGER|0|NULL|0\n18|capture_trigger|TEXT|0|NULL|0\n19|text_source|TEXT|0|NULL|0\n20|cloud_blob_id|TEXT|0|NULL|0\n21|full_text|TEXT|0|NULL|0\n22|elements_ref_frame_id|INTEGER|0|NULL|0\n0|id|INTEGER|0||1\n1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0\n2|session_id|TEXT|0||0\n3|relative_ms|INTEGER|1|0|0\n4|event_type|TEXT|1||0\n5|x|INTEGER|0||0\n6|y|INTEGER|0||0\n7|delta_x|INTEGER|0||0\n8|delta_y|INTEGER|0||0\n9|button|INTEGER|0||0\n10|click_count|INTEGER|0||0\n11|key_code|INTEGER|0||0\n12|modifiers|INTEGER|0||0\n13|text_content|TEXT|0||0\n14|text_length|INTEGER|0||0\n15|app_name|TEXT|0||0\n16|app_pid|INTEGER|0||0\n17|window_title|TEXT|0||0\n18|browser_url|TEXT|0||0\n19|element_role|TEXT|0||0\n20|element_name|TEXT|0||0\n21|element_value|TEXT|0||0\n22|element_description|TEXT|0||0\n23|element_automation_id|TEXT|0||0\n24|element_bounds|TEXT|0||0\n25|frame_id|INTEGER|0||0\n26|sync_id|TEXT|0||0\n27|machine_id|TEXT|0||0\n28|synced_at|DATETIME|0||0\n0|id|INTEGER|0||1\n1|file_path|TEXT|1||0\n2|device_name|TEXT|1|''|0\n3|sync_id|TEXT|0||0\n4|machine_id|TEXT|0||0\n5|synced_at|DATETIME|0||0\n6|fps|REAL|1|0.5|0\n7|cloud_blob_id|TEXT|0|NULL|0\n[rerun: b6]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check data counts and date ranges","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*) FROM ocr_text;\" 2>/dev/null","depth":25,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00\n3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00\n666\n[rerun: b7]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Explore existing pipes for patterns","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\n[rerun: b8]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Read day-recap pipe documentation","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n[rerun: b9]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample app names from frames","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Safari\nActivity Monitor\nDia\niTerm2\nControl Centre\nUserNotificationCenter\nFinder\nClaude\nSlack\nFirefox\nRaycast\nNetAuthAgent\nQuickTime Player\n[rerun: b10]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample joined frame+ocr data for today","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE\n2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER\n2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p\n2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p\n2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi\n[rerun: b11]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample recent audio transcriptions","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09T17:02:52+00:00|.|System Audio\n2026-04-09T16:59:22+00:00|Class is technically...|System Audio\n2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio\n[rerun: b12]","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Good data to work with. Here's what we have:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Screen captures with OCR text, app name, window name (1135 frames so far)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"audio_transcriptions","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Voice/system audio transcripts","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ui_events","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Mouse/keyboard events with app context","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Raw video files","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Before I start building, a few quick questions:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Tech stack","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"AI summaries","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"What summaries matter most?","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Day recap (what apps/windows you used, key text seen)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"App time breakdown (time per app)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Audio/conversation recap","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Custom searchable timeline","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Here's the architecture I'm thinking:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"/volume1/screenpipe/app/\n├── main.py # FastAPI web UI\n├── cli.py # Click CLI: `python cli.py day-recap`\n├── db.py # Read-only queries against db.sqlite\n├── consumers/\n│ ├── activity.py # App usage, time per window\n│ ├── ocr.py # OCR text aggregation + search\n│ ├── audio.py # Transcription queries\n│ └── summary.py # AI summary builder\n└── static/\n └── index.html # Single-page UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"CLI commands would look like:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"python cli.py day-recap # EOD summary\npython cli.py activity --date today # App time breakdown\npython cli.py search \"docker\" # Search OCR/audio text\npython cli.py serve # Launch web UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Does this direction work? Any preferences on the stack or which summaries to prioritize?","depth":22,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":23,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"seesm ok","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check Python and available packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"python3 --version && pip3 list 2>/dev/null | grep -E \"fastapi|uvicorn|click|anthropic|httpx|jinja\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
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SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
elements.py
interactions.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
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requirements.txt
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pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
Build screenpipe data UI…, Editor Group 2
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New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
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OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
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OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
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OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
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OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
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OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
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OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
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OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
Copy code to clipboard
OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
Copy code to clipboard
OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
Copy code to clipboard
OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
Copy code to clipboard
/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
Copy code to clipboard
python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?
Message actions
seesm ok
Thinking
Thinking
Bash
Check Python and available packages
IN
python3 --version && pip3 list 2>/dev/null | grep -E "fastapi|uvicorn|click|anthropic|httpx|jinja"
Copy code to clipboard...
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NULL
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1503
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33
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25
|
2026-04-11T17:35:37.992135+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928937992_m1.jpg...
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Code
|
Build screenpipe data UI… — screenpipe [SSH: 100.7 Build screenpipe data UI… — screenpipe [SSH: 100.73.206.126]...
|
True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update, 1 requires restart
3
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
elements.py
interactions.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
Build screenpipe data UI…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
remote SSH: [IP_ADDRESS]
SSH: [IP_ADDRESS]
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0
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Screen Reader Optimized
Diff editor
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
Copy code to clipboard
OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
Copy code to clipboard
OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
Copy code to clipboard
OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
Copy code to clipboard
OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
Copy code to clipboard
OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
Copy code to clipboard
OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
Copy code to clipboard
OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
Copy code to clipboard
/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
Copy code to clipboard
python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?
Message actions
seesm ok
Thinking
Thinking
Bash
Check Python and available packages
IN
python3 --version && pip3 list 2>/dev/null | grep -E "fastapi|uvicorn|click|anthropic|httpx|jinja"
Copy code to clipboard
OUT
Python 3.11.2
[rerun: b1]
Bash
Verify join works for today's data
IN
sqlite3 /volume1/screenpipe/db.sqlite "
SELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len
FROM frames f JOIN ocr_text o ON f.id = o.frame_id
WHERE DATE(f.timestamp) = '2026-04-11'
ORDER BY f.timestamp DESC LIMIT 3;
"
Copy code to clipboard
OUT
2026-04-11T12:54:42.597794+00:00|||2111
2026-04-11T12:54:41.915916+00:00|||2110
2026-04-11T12:54:39.912712+00:00|||2111
[rerun: b2]
Bash
Install required packages
IN
pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5
Copy code to clipboard
OUT
/bin/bash: line 1: pip3: command not found
[rerun: b3]
Bash
Find pip
IN
which pip || which pip3 || python3 -m pip --version 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
[rerun: b4]
Bash
Bootstrap pip then install packages
IN
python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10
Copy code to clipboard
OUT
Exit code 1
/usr/bin/python3: No module named ensurepip
[rerun: b5]
Bash
Install pip via apt
IN
apt-get install -y python3-pip python3-venv 2>&1 | tail -5
Copy code to clipboard
OUT
E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)
E: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?
[rerun: b6]
Bash
Install pip with sudo
Reason:
lets make it in docker, not to install it in nas directly
IN
sudo apt-get install -y python3-pip python3-venv 2>&1 | tail -5
Copy code to clipboard
Good call. Let me check what Docker setup you already have and build a proper containerized app.
Bash
Check existing docker-compose for reference
IN
ls /volume2/docker/paperlessngx/ && cat /volume2/docker/paperlessngx/docker-compose.yml 2>/dev/null | head -30
Copy code to clipboard
OUT
consume
data
db
docker-compose.yml
export
mcp-server
media
redis
trash
services:
redis:
image: redis:8
command:
- /bin/sh
- -c
- redis-server --requirepass redispass
container_name: PaperlessNGX-REDIS
hostname: paper-redis
security_opt:
- no-new-privileges:true
read_only: true
user: 1000:10
healthcheck:
test: ["CMD-SHELL", "redis-cli ping || exit 1"]
volumes:
- /volume2/docker/paperlessngx/redis:/data:rw
environment:
TZ: Europe/Sofia
restart: always
db:
image: postgres:17
container_name: PaperlessNGX-DB
hostname: paper-db
mem_limit: 1g
security_opt:
- no-new-privileges:true
healthcheck:
test: ["CMD", "pg_isready", "-q", "-d", "paperless", "-U", "paperlessuser"]
[rerun: b7]
Bash
Check Docker availability
IN
docker --version && docker compose version 2>/dev/null
Copy code to clipboard
OUT
Docker version 26.1.0, build 9714adc
Docker Compose version v2.26.1
[rerun: b8]
Bash
Create app directory structure
IN
mkdir -p /volume1/screenpipe/app/consumers /volume1/screenpipe/app/static
Copy code to clipboard
OUT
[rerun: b9]
Now let me build everything. I'll create all the files:
Write
requirements.txt
requirements.txt
6 lines
fastapi==0.115.12
uvicorn[standard]==0.34.0
click==8.1.8
anthropic==0.49.0
python-dotenv==1.1.0
Write
Dockerfile
Dockerfile
13 lines
FROM python:3.12-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
EXPOSE 8000
CMD ["uvicorn", "main:app", "--host", "[IP_ADDRESS]", "--port", "8000"]
Write
db.py
db.py
28 lines
import sqlite3
from contextlib import contextmanager
from datetime import date, datetime, timedelta, timezone
from typing import Generator
DB_PATH = "/data/db.sqlite"
@contextmanager
def get_conn() -> Generator[sqlite3.Connection, None, None]:
conn = sqlite3.connect(f"file:{DB_PATH}?mode=ro", uri=True)
conn.row_factory = sqlite3.Row
try:
yield conn
finally:
conn.close()
def date_range(for_date: date) -> tuple[str, str]:
"""Return ISO timestamps for start/end of a given date (UTC)."""
start = datetime(for_date.year, for_date.month, for_date.day, tzinfo=timezone.utc)
end = start + timedelta(days=1)
return start.isoformat(), end.isoformat()
def today() -> date:
return datetime.now(timezone.utc).date()
Write
__init__.py
__init__.py
1 line
Write
activity.py
activity.py
123 lines
"""App usage and window focus time consumer."""
from datetime import date
from typing import Any
from db import get_conn, date_range, today as _today
def app_time(for_date: date | None = None) -> list[dict[str, Any]]:
"""Return minutes spent per app for a given date, sorted descending."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT
o.app_name,
COUNT(*) as frame_count,
-- each frame ~ 2s at 0.5fps; convert to minutes
ROUND(COUNT(*) * 2.0 / 60, 1) as minutes
FROM frames f
JOIN ocr_text o ON f.id = o.frame_id
WHERE f.timestamp >= ? AND f.timestamp < ?
AND o.app_name != ''
GROUP BY o.app_name
ORDER BY frame_count DESC
""",
(start, end),
).fetchall()
return [dict(r) for r in rows]
def window_time(for_date: date | None = None, app: str | None = None) -> list[dict[str, Any]]:
"""Return minutes spent per window/tab, optionally filtered by app."""
d = for_date or _today()
start, end = date_range(d)
query = """
SELECT
o.app_name,
o.window_name,
COUNT(*) as frame_count,
ROUND(COUNT(*) * 2.0 / 60, 1) as minutes
FROM frames f
JOIN ocr_text o ON f.id = o.frame_id
WHERE f.timestamp >= ? AND f.timestamp < ?
AND o.app_name != ''
"""
params: list = [start, end]
if app:
query += " AND o.app_name = ?"
params.append(app)
query += " GROUP BY o.app_name, o.window_name ORDER BY frame_count DESC LIMIT 50"
with get_conn() as conn:
rows = conn.execute(query, params).fetchall()
return [dict(r) for r in rows]
def timeline(for_date: date | None = None, interval_minutes: int = 15) -> list[dict[str, Any]]:
"""Return activity bucketed into N-minute intervals."""
d = for_date or _today()
start, end = date_range(d)
interval_sec = interval_minutes * 60
with get_conn() as conn:
rows = conn.execute(
f"""
SELECT
datetime(
(strftime('%s', f.timestamp) / {interval_sec}) * {interval_sec},
'unixepoch'
) as bucket,
o.app_name,
COUNT(*) as frames
FROM frames f
JOIN ocr_text o ON f.id = o.frame_id
WHERE f.timestamp >= ? AND f.timestamp < ?
AND o.app_name != ''
GROUP BY bucket, o.app_name
ORDER BY bucket, frames DESC
""",
(start, end),
).fetchall()
return [dict(r) for r in rows]
def summary_stats(for_date: date | None = None) -> dict[str, Any]:
"""Return high-level stats for a date."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
frames_row = conn.execute(
"SELECT COUNT(*) as n, MIN(timestamp) as first, MAX(timestamp) as last "
"FROM frames WHERE timestamp >= ? AND timestamp < ?",
(start, end),
).fetchone()
app_count = conn.execute(
"""
SELECT COUNT(DISTINCT o.app_name) as n
FROM frames f JOIN ocr_text o ON f.id = o.frame_id
WHERE f.timestamp >= ? AND f.timestamp < ? AND o.app_name != ''
""",
(start, end),
).fetchone()
audio_count = conn.execute(
"SELECT COUNT(*) as n FROM audio_transcriptions "
"WHERE timestamp >= ? AND timestamp < ?",
(start, end),
).fetchone()
return {
"date": str(d),
"total_frames": frames_row["n"],
"first_seen": frames_row["first"],
"last_seen": frames_row["last"],
"unique_apps": app_count["n"],
"audio_segments": audio_count["n"],
}
Write...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E) - 1 unsaved file","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G)","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug (⇧⌘D)","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require update, 1 requires restart","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"3","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Claude Code","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"Containers","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"EXPLORER","depth":17,"role_description":"heading"},{"role":"AXStaticText","text":"EXPLORER","depth":18,"role_description":"text"},{"role":"AXButton","text":"Explorer Section: screenpipe [SSH: 100.73.206.126]","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"Explorer Section: screenpipe [SSH: 100.73.206.126]","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"SCREENPIPE [SSH: 100.73.206.126]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"#recycle","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"app","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"consumers","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"__init__.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"activity.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"audio.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"elements.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"interactions.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"ocr.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"report.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"summary.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"static","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"db.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"docker-compose.yml","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"Dockerfile","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"data","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"pipes","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"db.sqlite","depth":27,"role_description":"text"},{"role":"AXButton","text":"Outline Section","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"OUTLINE","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"OUTLINE","depth":23,"role_description":"text"},{"role":"AXButton","text":"Timeline Section","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"TIMELINE","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"TIMELINE","depth":23,"role_description":"text"},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"#!/bin/bash • Untitled-1, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"report.py, preview, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXStaticText","text":"","depth":29,"role_description":"text"},{"role":"AXStaticText","text":"","depth":29,"role_description":"text"},{"role":"AXTextArea","text":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","depth":28,"value":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","role_description":"editor","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","depth":29,"role_description":"text"},{"role":"AXRadioButton","text":"Build screenpipe data UI…, Editor Group 2","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Ports","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"role_description":"text"},{"role":"AXButton","text":"remote SSH: 100.73.206.126","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"SSH: 100.73.206.126","depth":17,"role_description":"text"},{"role":"AXButton","text":"No Problems","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXButton","text":"No Ports Forwarded","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXButton","text":"Update is ready, click to restart.","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"Update is ready, click to restart.","depth":17,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"role_description":"text"},{"role":"AXButton","text":"Screen Reader Optimized","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diff editor","depth":12,"role_description":"text"},{"role":"AXButton","text":"Build screenpipe data UI and summary app","depth":18,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":18,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":18,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":23,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Let me explore the screenpipe directory to understand what we're working with.","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List screenpipe directory contents","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"data\ndb.sqlite\npipes\n#recycle\n[rerun: b1]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List data and pipes directories","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09\n2026-04-11\nai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n[rerun: b2]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List tables in screenpipe SQLite database","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \".tables\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"_sqlx_migrations meetings \naudio_chunks memories \naudio_tags memories_fts \naudio_transcriptions memories_fts_config \naudio_transcriptions_fts memories_fts_data \naudio_transcriptions_fts_config memories_fts_docsize \naudio_transcriptions_fts_data memories_fts_idx \naudio_transcriptions_fts_docsize ocr_text \naudio_transcriptions_fts_idx pipe_executions \nelements pipe_scheduler_state \nelements_fts speaker_embeddings \nelements_fts_config speakers \nelements_fts_data tags \nelements_fts_docsize ui_events \nelements_fts_idx ui_events_fts \nframes ui_events_fts_config \nframes_fts ui_events_fts_data \nframes_fts_config ui_events_fts_docsize \nframes_fts_content ui_events_fts_idx \nframes_fts_data video_chunks \nframes_fts_docsize vision_tags \nframes_fts_idx\n[rerun: b3]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get ocr_text table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(ocr_text);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|frame_id|INTEGER|1||0\n1|text|TEXT|1||0\n2|text_json|TEXT|0||0\n3|app_name|TEXT|1|''|0\n4|ocr_engine|TEXT|1|'unknown'|0\n5|window_name|TEXT|0||0\n6|focused|BOOLEAN|0|FALSE|0\n7|text_length|INTEGER|0||0\n8|sync_id|TEXT|0||0\n9|synced_at|DATETIME|0||0\n[rerun: b4]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get audio_transcriptions table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(audio_transcriptions);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|audio_chunk_id|INTEGER|1||0\n2|offset_index|INTEGER|1||0\n3|timestamp|TIMESTAMP|1||0\n4|transcription|TEXT|1||0\n5|device|TEXT|1|''|0\n6|is_input_device|BOOLEAN|1|TRUE|0\n7|speaker_id|INTEGER|0||0\n8|transcription_engine|TEXT|1|'Whisper'|0\n9|start_time|REAL|0||0\n10|end_time|REAL|0||0\n11|text_length|INTEGER|0||0\n12|sync_id|TEXT|0||0\n13|synced_at|DATETIME|0||0\n[rerun: b5]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get frames, ui_events, video_chunks schemas","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|video_chunk_id|INTEGER|0|NULL|0\n2|offset_index|INTEGER|1|0|0\n3|timestamp|TIMESTAMP|1||0\n4|name|TEXT|0||0\n5|app_name|TEXT|0|NULL|0\n6|window_name|TEXT|0|NULL|0\n7|focused|BOOLEAN|0|NULL|0\n8|browser_url|TEXT|0|NULL|0\n9|device_name|TEXT|1|''|0\n10|sync_id|TEXT|0||0\n11|machine_id|TEXT|0||0\n12|synced_at|DATETIME|0||0\n13|snapshot_path|TEXT|0|NULL|0\n14|accessibility_text|TEXT|0|NULL|0\n15|accessibility_tree_json|TEXT|0|NULL|0\n16|content_hash|INTEGER|0|NULL|0\n17|simhash|INTEGER|0|NULL|0\n18|capture_trigger|TEXT|0|NULL|0\n19|text_source|TEXT|0|NULL|0\n20|cloud_blob_id|TEXT|0|NULL|0\n21|full_text|TEXT|0|NULL|0\n22|elements_ref_frame_id|INTEGER|0|NULL|0\n0|id|INTEGER|0||1\n1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0\n2|session_id|TEXT|0||0\n3|relative_ms|INTEGER|1|0|0\n4|event_type|TEXT|1||0\n5|x|INTEGER|0||0\n6|y|INTEGER|0||0\n7|delta_x|INTEGER|0||0\n8|delta_y|INTEGER|0||0\n9|button|INTEGER|0||0\n10|click_count|INTEGER|0||0\n11|key_code|INTEGER|0||0\n12|modifiers|INTEGER|0||0\n13|text_content|TEXT|0||0\n14|text_length|INTEGER|0||0\n15|app_name|TEXT|0||0\n16|app_pid|INTEGER|0||0\n17|window_title|TEXT|0||0\n18|browser_url|TEXT|0||0\n19|element_role|TEXT|0||0\n20|element_name|TEXT|0||0\n21|element_value|TEXT|0||0\n22|element_description|TEXT|0||0\n23|element_automation_id|TEXT|0||0\n24|element_bounds|TEXT|0||0\n25|frame_id|INTEGER|0||0\n26|sync_id|TEXT|0||0\n27|machine_id|TEXT|0||0\n28|synced_at|DATETIME|0||0\n0|id|INTEGER|0||1\n1|file_path|TEXT|1||0\n2|device_name|TEXT|1|''|0\n3|sync_id|TEXT|0||0\n4|machine_id|TEXT|0||0\n5|synced_at|DATETIME|0||0\n6|fps|REAL|1|0.5|0\n7|cloud_blob_id|TEXT|0|NULL|0\n[rerun: b6]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check data counts and date ranges","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*) FROM ocr_text;\" 2>/dev/null","depth":25,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00\n3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00\n666\n[rerun: b7]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Explore existing pipes for patterns","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\n[rerun: b8]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Read day-recap pipe documentation","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n[rerun: b9]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample app names from frames","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Safari\nActivity Monitor\nDia\niTerm2\nControl Centre\nUserNotificationCenter\nFinder\nClaude\nSlack\nFirefox\nRaycast\nNetAuthAgent\nQuickTime Player\n[rerun: b10]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample joined frame+ocr data for today","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE\n2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER\n2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p\n2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p\n2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi\n[rerun: b11]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample recent audio transcriptions","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09T17:02:52+00:00|.|System Audio\n2026-04-09T16:59:22+00:00|Class is technically...|System Audio\n2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio\n[rerun: b12]","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Good data to work with. Here's what we have:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Screen captures with OCR text, app name, window name (1135 frames so far)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"audio_transcriptions","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Voice/system audio transcripts","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ui_events","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Mouse/keyboard events with app context","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Raw video files","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Before I start building, a few quick questions:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Tech stack","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"AI summaries","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"What summaries matter most?","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Day recap (what apps/windows you used, key text seen)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"App time breakdown (time per app)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Audio/conversation recap","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Custom searchable timeline","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Here's the architecture I'm thinking:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"/volume1/screenpipe/app/\n├── main.py # FastAPI web UI\n├── cli.py # Click CLI: `python cli.py day-recap`\n├── db.py # Read-only queries against db.sqlite\n├── consumers/\n│ ├── activity.py # App usage, time per window\n│ ├── ocr.py # OCR text aggregation + search\n│ ├── audio.py # Transcription queries\n│ └── summary.py # AI summary builder\n└── static/\n └── index.html # Single-page UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"CLI commands would look like:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"python cli.py day-recap # EOD summary\npython cli.py activity --date today # App time breakdown\npython cli.py search \"docker\" # Search OCR/audio text\npython cli.py serve # Launch web UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Does this direction work? Any preferences on the stack or which summaries to prioritize?","depth":22,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":23,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"seesm ok","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check Python and available packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"python3 --version && pip3 list 2>/dev/null | grep -E \"fastapi|uvicorn|click|anthropic|httpx|jinja\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Python 3.11.2\n[rerun: b1]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Verify join works for today's data","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"\nSELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len\nFROM frames f JOIN ocr_text o ON f.id = o.frame_id\nWHERE DATE(f.timestamp) = '2026-04-11'\nORDER BY f.timestamp DESC LIMIT 3;\n\"","depth":25,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-11T12:54:42.597794+00:00|||2111\n2026-04-11T12:54:41.915916+00:00|||2110\n2026-04-11T12:54:39.912712+00:00|||2111\n[rerun: b2]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Install required packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"/bin/bash: line 1: pip3: command not found\n[rerun: b3]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Find pip","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"which pip || which pip3 || python3 -m pip --version 2>/dev/null","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\n[rerun: b4]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bootstrap pip then install packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\n/usr/bin/python3: No module named ensurepip\n[rerun: b5]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Install pip via apt","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"apt-get install -y python3-pip python3-venv 2>&1 | tail -5","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)\nE: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?\n[rerun: b6]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Install pip with sudo","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Reason:","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"lets make it in docker, not to install it in nas directly","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sudo apt-get install -y python3-pip python3-venv 2>&1 | tail -5","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Good call. Let me check what Docker setup you already have and build a proper containerized app.","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check existing docker-compose for reference","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume2/docker/paperlessngx/ && cat /volume2/docker/paperlessngx/docker-compose.yml 2>/dev/null | head -30","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"consume\ndata\ndb\ndocker-compose.yml\nexport\nmcp-server\nmedia\nredis\ntrash\nservices:\n redis:\n image: redis:8\n command:\n - /bin/sh\n - -c\n - redis-server --requirepass redispass\n container_name: PaperlessNGX-REDIS\n hostname: paper-redis\n security_opt:\n - no-new-privileges:true\n read_only: true\n user: 1000:10\n healthcheck:\n test: [\"CMD-SHELL\", \"redis-cli ping || exit 1\"]\n volumes:\n - /volume2/docker/paperlessngx/redis:/data:rw\n environment:\n TZ: Europe/Sofia\n restart: always\n\n db:\n image: postgres:17\n container_name: PaperlessNGX-DB\n hostname: paper-db\n mem_limit: 1g\n security_opt:\n - no-new-privileges:true\n healthcheck:\n test: [\"CMD\", \"pg_isready\", \"-q\", \"-d\", \"paperless\", \"-U\", \"paperlessuser\"]\n[rerun: b7]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check Docker availability","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"docker --version && docker compose version 2>/dev/null","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Docker version 26.1.0, build 9714adc\nDocker Compose version v2.26.1\n[rerun: b8]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Create app directory structure","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"mkdir -p /volume1/screenpipe/app/consumers /volume1/screenpipe/app/static","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"[rerun: b9]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Now let me build everything. I'll create all the files:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":23,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"6 lines","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"fastapi==0.115.12\nuvicorn[standard]==0.34.0\nclick==8.1.8\nanthropic==0.49.0\npython-dotenv==1.1.0","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXLink","text":"Dockerfile","depth":23,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Dockerfile","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"13 lines","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"FROM python:3.12-slim\n\nWORKDIR /app\n\nCOPY requirements.txt .\nRUN pip install --no-cache-dir -r requirements.txt\n\nCOPY . .\n\nEXPOSE 8000\n\nCMD [\"uvicorn\", \"main:app\", \"--host\", \"0.0.0.0\", \"--port\", \"8000\"]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXLink","text":"db.py","depth":23,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"db.py","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"28 lines","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"import sqlite3\nfrom contextlib import contextmanager\nfrom datetime import date, datetime, timedelta, timezone\nfrom typing import Generator\n\nDB_PATH = \"/data/db.sqlite\"\n\n\n@contextmanager\ndef get_conn() -> Generator[sqlite3.Connection, None, None]:\n conn = sqlite3.connect(f\"file:{DB_PATH}?mode=ro\", uri=True)\n conn.row_factory = sqlite3.Row\n try:\n yield conn\n finally:\n conn.close()\n\n\ndef date_range(for_date: date) -> tuple[str, str]:\n \"\"\"Return ISO timestamps for start/end of a given date (UTC).\"\"\"\n start = datetime(for_date.year, for_date.month, for_date.day, tzinfo=timezone.utc)\n end = start + timedelta(days=1)\n return start.isoformat(), end.isoformat()\n\n\ndef today() -> date:\n return datetime.now(timezone.utc).date()","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXLink","text":"__init__.py","depth":23,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"__init__.py","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"1 line","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXLink","text":"activity.py","depth":23,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"activity.py","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"123 lines","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"App usage and window focus time consumer.\"\"\"\nfrom datetime import date\nfrom typing import Any\n\nfrom db import get_conn, date_range, today as _today\n\n\ndef app_time(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Return minutes spent per app for a given date, sorted descending.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT\n o.app_name,\n COUNT(*) as frame_count,\n -- each frame ~ 2s at 0.5fps; convert to minutes\n ROUND(COUNT(*) * 2.0 / 60, 1) as minutes\n FROM frames f\n JOIN ocr_text o ON f.id = o.frame_id\n WHERE f.timestamp >= ? AND f.timestamp < ?\n AND o.app_name != ''\n GROUP BY o.app_name\n ORDER BY frame_count DESC\n \"\"\",\n (start, end),\n ).fetchall()\n return [dict(r) for r in rows]\n\n\ndef window_time(for_date: date | None = None, app: str | None = None) -> list[dict[str, Any]]:\n \"\"\"Return minutes spent per window/tab, optionally filtered by app.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n query = \"\"\"\n SELECT\n o.app_name,\n o.window_name,\n COUNT(*) as frame_count,\n ROUND(COUNT(*) * 2.0 / 60, 1) as minutes\n FROM frames f\n JOIN ocr_text o ON f.id = o.frame_id\n WHERE f.timestamp >= ? AND f.timestamp < ?\n AND o.app_name != ''\n \"\"\"\n params: list = [start, end]\n if app:\n query += \" AND o.app_name = ?\"\n params.append(app)\n query += \" GROUP BY o.app_name, o.window_name ORDER BY frame_count DESC LIMIT 50\"\n\n with get_conn() as conn:\n rows = conn.execute(query, params).fetchall()\n return [dict(r) for r in rows]\n\n\ndef timeline(for_date: date | None = None, interval_minutes: int = 15) -> list[dict[str, Any]]:\n \"\"\"Return activity bucketed into N-minute intervals.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n interval_sec = interval_minutes * 60\n\n with get_conn() as conn:\n rows = conn.execute(\n f\"\"\"\n SELECT\n datetime(\n (strftime('%s', f.timestamp) / {interval_sec}) * {interval_sec},\n 'unixepoch'\n ) as bucket,\n o.app_name,\n COUNT(*) as frames\n FROM frames f\n JOIN ocr_text o ON f.id = o.frame_id\n WHERE f.timestamp >= ? AND f.timestamp < ?\n AND o.app_name != ''\n GROUP BY bucket, o.app_name\n ORDER BY bucket, frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n return [dict(r) for r in rows]\n\n\ndef summary_stats(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Return high-level stats for a date.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n frames_row = conn.execute(\n \"SELECT COUNT(*) as n, MIN(timestamp) as first, MAX(timestamp) as last \"\n \"FROM frames WHERE timestamp >= ? AND timestamp < ?\",\n (start, end),\n ).fetchone()\n\n app_count = conn.execute(\n \"\"\"\n SELECT COUNT(DISTINCT o.app_name) as n\n FROM frames f JOIN ocr_text o ON f.id = o.frame_id\n WHERE f.timestamp >= ? AND f.timestamp < ? AND o.app_name != ''\n \"\"\",\n (start, end),\n ).fetchone()\n\n audio_count = conn.execute(\n \"SELECT COUNT(*) as n FROM audio_transcriptions \"\n \"WHERE timestamp >= ? AND timestamp < ?\",\n (start, end),\n ).fetchone()\n\n return {\n \"date\": str(d),\n \"total_frames\": frames_row[\"n\"],\n \"first_seen\": frames_row[\"first\"],\n \"last_seen\": frames_row[\"last\"],\n \"unique_apps\": app_count[\"n\"],\n \"audio_segments\": audio_count[\"n\"],\n }","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":23,"role_description":"text"}]...
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-8713646627026237434
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accessibility
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NULL
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EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
elements.py
interactions.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
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pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
Build screenpipe data UI…, Editor Group 2
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Screen Reader Optimized
Diff editor
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
Copy code to clipboard
OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
Copy code to clipboard
OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
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OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
Copy code to clipboard
OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
Copy code to clipboard
OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
Copy code to clipboard
OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
Copy code to clipboard
OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
Copy code to clipboard
/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
Copy code to clipboard
python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?
Message actions
seesm ok
Thinking
Thinking
Bash
Check Python and available packages
IN
python3 --version && pip3 list 2>/dev/null | grep -E "fastapi|uvicorn|click|anthropic|httpx|jinja"
Copy code to clipboard
OUT
Python 3.11.2
[rerun: b1]
Bash
Verify join works for today's data
IN
sqlite3 /volume1/screenpipe/db.sqlite "
SELECT f.timestamp, o.app_name, o.window_name, length(o.text) as txt_len
FROM frames f JOIN ocr_text o ON f.id = o.frame_id
WHERE DATE(f.timestamp) = '2026-04-11'
ORDER BY f.timestamp DESC LIMIT 3;
"
Copy code to clipboard
OUT
2026-04-11T12:54:42.597794+00:00|||2111
2026-04-11T12:54:41.915916+00:00|||2110
2026-04-11T12:54:39.912712+00:00|||2111
[rerun: b2]
Bash
Install required packages
IN
pip3 install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -5
Copy code to clipboard
OUT
/bin/bash: line 1: pip3: command not found
[rerun: b3]
Bash
Find pip
IN
which pip || which pip3 || python3 -m pip --version 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
[rerun: b4]
Bash
Bootstrap pip then install packages
IN
python3 -m ensurepip --upgrade 2>&1 && python3 -m pip install fastapi uvicorn click anthropic python-dotenv 2>&1 | tail -10
Copy code to clipboard
OUT
Exit code 1
/usr/bin/python3: No module named ensurepip
[rerun: b5]
Bash
Install pip via apt
IN
apt-get install -y python3-pip python3-venv 2>&1 | tail -5
Copy code to clipboard
OUT
E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)
E: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?
[rerun: b6]
Bash
Install pip with sudo
Reason:
lets make it in docker, not to install it in nas directly
IN
sudo apt-get install -y python3-pip python3-venv 2>&1 | tail -5
Copy code to clipboard
Good call. Let me check what Docker setup you already have and build a proper containerized app.
Bash
Check existing docker-compose for reference
IN
ls /volume2/docker/paperlessngx/ && cat /volume2/docker/paperlessngx/docker-compose.yml 2>/dev/null | head -30
Copy code to clipboard
OUT
consume
data
db
docker-compose.yml
export
mcp-server
media
redis
trash
services:
redis:
image: redis:8
command:
- /bin/sh
- -c
- redis-server --requirepass redispass
container_name: PaperlessNGX-REDIS
hostname: paper-redis
security_opt:
- no-new-privileges:true
read_only: true
user: 1000:10
healthcheck:
test: ["CMD-SHELL", "redis-cli ping || exit 1"]
volumes:
- /volume2/docker/paperlessngx/redis:/data:rw
environment:
TZ: Europe/Sofia
restart: always
db:
image: postgres:17
container_name: PaperlessNGX-DB
hostname: paper-db
mem_limit: 1g
security_opt:
- no-new-privileges:true
healthcheck:
test: ["CMD", "pg_isready", "-q", "-d", "paperless", "-U", "paperlessuser"]
[rerun: b7]
Bash
Check Docker availability
IN
docker --version && docker compose version 2>/dev/null
Copy code to clipboard
OUT
Docker version 26.1.0, build 9714adc
Docker Compose version v2.26.1
[rerun: b8]
Bash
Create app directory structure
IN
mkdir -p /volume1/screenpipe/app/consumers /volume1/screenpipe/app/static
Copy code to clipboard
OUT
[rerun: b9]
Now let me build everything. I'll create all the files:
Write
requirements.txt
requirements.txt
6 lines
fastapi==0.115.12
uvicorn[standard]==0.34.0
click==8.1.8
anthropic==0.49.0
python-dotenv==1.1.0
Write
Dockerfile
Dockerfile
13 lines
FROM python:3.12-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
EXPOSE 8000
CMD ["uvicorn", "main:app", "--host", "[IP_ADDRESS]", "--port", "8000"]
Write
db.py
db.py
28 lines
import sqlite3
from contextlib import contextmanager
from datetime import date, datetime, timedelta, timezone
from typing import Generator
DB_PATH = "/data/db.sqlite"
@contextmanager
def get_conn() -> Generator[sqlite3.Connection, None, None]:
conn = sqlite3.connect(f"file:{DB_PATH}?mode=ro", uri=True)
conn.row_factory = sqlite3.Row
try:
yield conn
finally:
conn.close()
def date_range(for_date: date) -> tuple[str, str]:
"""Return ISO timestamps for start/end of a given date (UTC)."""
start = datetime(for_date.year, for_date.month, for_date.day, tzinfo=timezone.utc)
end = start + timedelta(days=1)
return start.isoformat(), end.isoformat()
def today() -> date:
return datetime.now(timezone.utc).date()
Write
__init__.py
__init__.py
1 line
Write
activity.py
activity.py
123 lines
"""App usage and window focus time consumer."""
from datetime import date
from typing import Any
from db import get_conn, date_range, today as _today
def app_time(for_date: date | None = None) -> list[dict[str, Any]]:
"""Return minutes spent per app for a given date, sorted descending."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT
o.app_name,
COUNT(*) as frame_count,
-- each frame ~ 2s at 0.5fps; convert to minutes
ROUND(COUNT(*) * 2.0 / 60, 1) as minutes
FROM frames f
JOIN ocr_text o ON f.id = o.frame_id
WHERE f.timestamp >= ? AND f.timestamp < ?
AND o.app_name != ''
GROUP BY o.app_name
ORDER BY frame_count DESC
""",
(start, end),
).fetchall()
return [dict(r) for r in rows]
def window_time(for_date: date | None = None, app: str | None = None) -> list[dict[str, Any]]:
"""Return minutes spent per window/tab, optionally filtered by app."""
d = for_date or _today()
start, end = date_range(d)
query = """
SELECT
o.app_name,
o.window_name,
COUNT(*) as frame_count,
ROUND(COUNT(*) * 2.0 / 60, 1) as minutes
FROM frames f
JOIN ocr_text o ON f.id = o.frame_id
WHERE f.timestamp >= ? AND f.timestamp < ?
AND o.app_name != ''
"""
params: list = [start, end]
if app:
query += " AND o.app_name = ?"
params.append(app)
query += " GROUP BY o.app_name, o.window_name ORDER BY frame_count DESC LIMIT 50"
with get_conn() as conn:
rows = conn.execute(query, params).fetchall()
return [dict(r) for r in rows]
def timeline(for_date: date | None = None, interval_minutes: int = 15) -> list[dict[str, Any]]:
"""Return activity bucketed into N-minute intervals."""
d = for_date or _today()
start, end = date_range(d)
interval_sec = interval_minutes * 60
with get_conn() as conn:
rows = conn.execute(
f"""
SELECT
datetime(
(strftime('%s', f.timestamp) / {interval_sec}) * {interval_sec},
'unixepoch'
) as bucket,
o.app_name,
COUNT(*) as frames
FROM frames f
JOIN ocr_text o ON f.id = o.frame_id
WHERE f.timestamp >= ? AND f.timestamp < ?
AND o.app_name != ''
GROUP BY bucket, o.app_name
ORDER BY bucket, frames DESC
""",
(start, end),
).fetchall()
return [dict(r) for r in rows]
def summary_stats(for_date: date | None = None) -> dict[str, Any]:
"""Return high-level stats for a date."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
frames_row = conn.execute(
"SELECT COUNT(*) as n, MIN(timestamp) as first, MAX(timestamp) as last "
"FROM frames WHERE timestamp >= ? AND timestamp < ?",
(start, end),
).fetchone()
app_count = conn.execute(
"""
SELECT COUNT(DISTINCT o.app_name) as n
FROM frames f JOIN ocr_text o ON f.id = o.frame_id
WHERE f.timestamp >= ? AND f.timestamp < ? AND o.app_name != ''
""",
(start, end),
).fetchone()
audio_count = conn.execute(
"SELECT COUNT(*) as n FROM audio_transcriptions "
"WHERE timestamp >= ? AND timestamp < ?",
(start, end),
).fetchone()
return {
"date": str(d),
"total_frames": frames_row["n"],
"first_seen": frames_row["first"],
"last_seen": frames_row["last"],
"unique_apps": app_count["n"],
"audio_segments": audio_count["n"],
}
Write...
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928950157_m1.jpg...
|
Code
|
Build screenpipe data UI… — screenpipe [SSH: 100.7 Build screenpipe data UI… — screenpipe [SSH: 100.73.206.126]...
|
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monitor_1
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update, 1 requires restart
3
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
elements.py
interactions.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
Build screenpipe data UI…, Editor Group 2
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Screen Reader Optimized
Diff editor
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
Copy code to clipboard
OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
Copy code to clipboard
OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
Copy code to clipboard
OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
Copy code to clipboard
OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
Copy code to clipboard
OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
Copy code to clipboard
OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
Copy code to clipboard
OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
Copy code to clipboard
/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
Copy code to clipboard
python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?
Message actions
seesm ok
Thinking
Thinking
Bash
Check Python and available packages
IN
python3 --version && pip3 list 2>/dev/null | grep -E "fastapi|uvicorn|click|anthropic|httpx|jinja"
Copy code to clipboard
OUT
Python 3.11.2
[rerun: b1]
Bash
Verify join works for today's data
IN...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E) - 1 unsaved file","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G)","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug (⇧⌘D)","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require update, 1 requires restart","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"3","depth":22,"role_description":"text"},{"role":"AXRadioButton","text":"Claude Code","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"Containers","depth":19,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"EXPLORER","depth":17,"role_description":"heading"},{"role":"AXStaticText","text":"EXPLORER","depth":18,"role_description":"text"},{"role":"AXButton","text":"Explorer Section: screenpipe [SSH: 100.73.206.126]","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"Explorer Section: screenpipe [SSH: 100.73.206.126]","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"SCREENPIPE [SSH: 100.73.206.126]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"#recycle","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"app","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"consumers","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"__init__.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"activity.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"audio.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"elements.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"interactions.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"ocr.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"report.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"summary.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"static","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"db.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"docker-compose.yml","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"Dockerfile","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"data","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"role_description":"text"},{"role":"AXStaticText","text":"pipes","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"role_description":"text"},{"role":"AXStaticText","text":"db.sqlite","depth":27,"role_description":"text"},{"role":"AXButton","text":"Outline Section","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"OUTLINE","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"OUTLINE","depth":23,"role_description":"text"},{"role":"AXButton","text":"Timeline Section","depth":21,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"role_description":"text"},{"role":"AXHeading","text":"TIMELINE","depth":22,"role_description":"heading"},{"role":"AXStaticText","text":"TIMELINE","depth":23,"role_description":"text"},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"#!/bin/bash • Untitled-1, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"report.py, preview, Editor Group 1","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXStaticText","text":"","depth":29,"role_description":"text"},{"role":"AXStaticText","text":"","depth":29,"role_description":"text"},{"role":"AXTextArea","text":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","depth":28,"value":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","role_description":"editor","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"\"\"\"Structured work report — no LLM needed.\"\"\"\nfrom datetime import date, datetime, timezone, timedelta\nfrom typing import Any\nfrom urllib.parse import urlparse\n\nfrom db import get_conn, date_range, today as _today\n\nBREAK_THRESHOLD_MIN = 10 # gap > 10 min = break\nWORK_APPS = {\n \"code\": {\"iTerm2\", \"Terminal\", \"Code\", \"Visual Studio Code\", \"PyCharm\", \"Xcode\", \"Cursor\"},\n \"browser\": {\"Firefox\", \"Safari\", \"Chrome\", \"Arc\", \"Dia\"},\n \"comms\": {\"Slack\", \"Teams\", \"Discord\", \"Zoom\", \"Telegram\", \"WhatsApp\"},\n \"docs\": {\"Word\", \"Pages\", \"Notion\", \"Obsidian\", \"Bear\", \"Typora\"},\n \"ai\": {\"Claude\", \"ChatGPT\"},\n \"design\": {\"Figma\", \"Sketch\", \"Photoshop\", \"Illustrator\"},\n \"media\": {\"QuickTime Player\", \"VLC\", \"Spotify\"},\n \"system\": {\"Finder\", \"Activity Monitor\", \"System Preferences\", \"System Settings\",\n \"Raycast\", \"Control Centre\", \"UserNotificationCenter\", \"NetAuthAgent\"},\n}\n\ndef _categorize(app_name: str) -> str:\n for cat, apps in WORK_APPS.items():\n if app_name in apps:\n return cat\n return \"other\"\n\ndef _extract_domain(url: str) -> str:\n try:\n h = urlparse(url).netloc\n return h.removeprefix(\"www.\") if h else url[:40]\n except Exception:\n return url[:40]\n\ndef _parse_ts(ts: str) -> datetime:\n ts = ts.replace(\"+00:00\", \"+00:00\") # already UTC\n try:\n return datetime.fromisoformat(ts)\n except ValueError:\n return datetime.fromisoformat(ts[:26] + \"+00:00\")\n\n\ndef session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:\n \"\"\"\n Detect work sessions and breaks from frame timestamps.\n Returns sessions, breaks, and totals.\n \"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp\",\n (start, end),\n ).fetchall()\n\n if not rows:\n return {\"sessions\": [], \"breaks\": [], \"total_active_min\": 0, \"total_break_min\": 0, \"date\": str(d)}\n\n timestamps = [_parse_ts(r[\"timestamp\"]) for r in rows]\n threshold = timedelta(minutes=break_min)\n\n sessions: list[dict] = []\n breaks: list[dict] = []\n sess_start = timestamps[0]\n prev = timestamps[0]\n\n for ts in timestamps[1:]:\n gap = ts - prev\n if gap > threshold:\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n breaks.append({\n \"start\": prev.isoformat(),\n \"end\": ts.isoformat(),\n \"duration_min\": round(gap.total_seconds() / 60, 1),\n })\n sess_start = ts\n prev = ts\n\n dur = (prev - sess_start).total_seconds() / 60\n sessions.append({\n \"start\": sess_start.isoformat(),\n \"end\": prev.isoformat(),\n \"duration_min\": round(dur, 1),\n })\n\n total_active = sum(s[\"duration_min\"] for s in sessions)\n total_break = sum(b[\"duration_min\"] for b in breaks)\n total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60\n\n return {\n \"date\": str(d),\n \"day_start\": timestamps[0].isoformat(),\n \"day_end\": timestamps[-1].isoformat(),\n \"total_span_min\": round(total_span, 1),\n \"total_active_min\": round(total_active, 1),\n \"total_break_min\": round(total_break, 1),\n \"sessions\": sessions,\n \"breaks\": breaks,\n }\n\n\ndef domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:\n \"\"\"Browser time grouped by domain.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n rows = conn.execute(\n \"\"\"\n SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ?\n AND browser_url IS NOT NULL AND browser_url != ''\n GROUP BY browser_url\n ORDER BY frames DESC\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Group by domain\n domains: dict[str, dict] = {}\n for r in rows:\n domain = _extract_domain(r[\"browser_url\"])\n if domain not in domains:\n domains[domain] = {\"domain\": domain, \"minutes\": 0, \"urls\": []}\n domains[domain][\"minutes\"] = round(domains[domain][\"minutes\"] + r[\"minutes\"], 1)\n domains[domain][\"urls\"].append({\"url\": r[\"browser_url\"], \"minutes\": r[\"minutes\"]})\n\n return sorted(domains.values(), key=lambda x: x[\"minutes\"], reverse=True)\n\n\ndef slack_activity(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Slack-specific: time, channels, message activity.\"\"\"\n d = for_date or _today()\n start, end = date_range(d)\n\n with get_conn() as conn:\n # Time in Slack\n time_row = conn.execute(\n \"\"\"\n SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n # Channels from window names\n channels = conn.execute(\n \"\"\"\n SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes\n FROM frames\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n AND window_name IS NOT NULL AND window_name != ''\n GROUP BY window_name ORDER BY frames DESC LIMIT 20\n \"\"\",\n (start, end),\n ).fetchall()\n\n # Keystrokes in Slack (proxy for messages sent)\n events = conn.execute(\n \"\"\"\n SELECT\n SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,\n SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks\n FROM ui_events\n WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'\n \"\"\",\n (start, end),\n ).fetchone()\n\n return {\n \"minutes\": time_row[\"minutes\"] if time_row else 0,\n \"frames\": time_row[\"frames\"] if time_row else 0,\n \"keystrokes\": events[\"keystrokes\"] if events else 0,\n \"clicks\": events[\"clicks\"] if events else 0,\n \"channels\": [dict(r) for r in channels],\n }\n\n\ndef work_report(for_date: date | None = None) -> dict[str, Any]:\n \"\"\"Full structured work report — no AI needed.\"\"\"\n from consumers.activity import app_time, ui_event_summary\n\n d = for_date or _today()\n\n apps = app_time(d)\n # Annotate with category\n categorized: dict[str, list] = {}\n for a in apps:\n cat = _categorize(a[\"app_name\"])\n categorized.setdefault(cat, []).append(a)\n\n return {\n \"date\": str(d),\n \"sessions\": session_breakdown(d),\n \"apps_by_category\": categorized,\n \"domains\": domain_breakdown(d),\n \"slack\": slack_activity(d),\n \"ui_events\": ui_event_summary(d),\n }","depth":29,"role_description":"text"},{"role":"AXRadioButton","text":"Build screenpipe data UI…, Editor Group 2","depth":28,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"role_description":"text"},{"role":"AXRadioButton","text":"Ports","depth":22,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"role_description":"text"},{"role":"AXButton","text":"remote SSH: 100.73.206.126","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"SSH: 100.73.206.126","depth":17,"role_description":"text"},{"role":"AXButton","text":"No Problems","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXButton","text":"No Ports Forwarded","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"role_description":"text"},{"role":"AXButton","text":"Update is ready, click to restart.","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"Update is ready, click to restart.","depth":17,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"role_description":"text"},{"role":"AXButton","text":"Screen Reader Optimized","depth":16,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diff editor","depth":12,"role_description":"text"},{"role":"AXButton","text":"Build screenpipe data UI and summary app","depth":18,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":18,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":18,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":23,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Let me explore the screenpipe directory to understand what we're working with.","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List screenpipe directory contents","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"data\ndb.sqlite\npipes\n#recycle\n[rerun: b1]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List data and pipes directories","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09\n2026-04-11\nai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n[rerun: b2]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"List tables in screenpipe SQLite database","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \".tables\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"_sqlx_migrations meetings \naudio_chunks memories \naudio_tags memories_fts \naudio_transcriptions memories_fts_config \naudio_transcriptions_fts memories_fts_data \naudio_transcriptions_fts_config memories_fts_docsize \naudio_transcriptions_fts_data memories_fts_idx \naudio_transcriptions_fts_docsize ocr_text \naudio_transcriptions_fts_idx pipe_executions \nelements pipe_scheduler_state \nelements_fts speaker_embeddings \nelements_fts_config speakers \nelements_fts_data tags \nelements_fts_docsize ui_events \nelements_fts_idx ui_events_fts \nframes ui_events_fts_config \nframes_fts ui_events_fts_data \nframes_fts_config ui_events_fts_docsize \nframes_fts_content ui_events_fts_idx \nframes_fts_data video_chunks \nframes_fts_docsize vision_tags \nframes_fts_idx\n[rerun: b3]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get ocr_text table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(ocr_text);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|frame_id|INTEGER|1||0\n1|text|TEXT|1||0\n2|text_json|TEXT|0||0\n3|app_name|TEXT|1|''|0\n4|ocr_engine|TEXT|1|'unknown'|0\n5|window_name|TEXT|0||0\n6|focused|BOOLEAN|0|FALSE|0\n7|text_length|INTEGER|0||0\n8|sync_id|TEXT|0||0\n9|synced_at|DATETIME|0||0\n[rerun: b4]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get audio_transcriptions table schema","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(audio_transcriptions);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|audio_chunk_id|INTEGER|1||0\n2|offset_index|INTEGER|1||0\n3|timestamp|TIMESTAMP|1||0\n4|transcription|TEXT|1||0\n5|device|TEXT|1|''|0\n6|is_input_device|BOOLEAN|1|TRUE|0\n7|speaker_id|INTEGER|0||0\n8|transcription_engine|TEXT|1|'Whisper'|0\n9|start_time|REAL|0||0\n10|end_time|REAL|0||0\n11|text_length|INTEGER|0||0\n12|sync_id|TEXT|0||0\n13|synced_at|DATETIME|0||0\n[rerun: b5]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Get frames, ui_events, video_chunks schemas","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"0|id|INTEGER|0||1\n1|video_chunk_id|INTEGER|0|NULL|0\n2|offset_index|INTEGER|1|0|0\n3|timestamp|TIMESTAMP|1||0\n4|name|TEXT|0||0\n5|app_name|TEXT|0|NULL|0\n6|window_name|TEXT|0|NULL|0\n7|focused|BOOLEAN|0|NULL|0\n8|browser_url|TEXT|0|NULL|0\n9|device_name|TEXT|1|''|0\n10|sync_id|TEXT|0||0\n11|machine_id|TEXT|0||0\n12|synced_at|DATETIME|0||0\n13|snapshot_path|TEXT|0|NULL|0\n14|accessibility_text|TEXT|0|NULL|0\n15|accessibility_tree_json|TEXT|0|NULL|0\n16|content_hash|INTEGER|0|NULL|0\n17|simhash|INTEGER|0|NULL|0\n18|capture_trigger|TEXT|0|NULL|0\n19|text_source|TEXT|0|NULL|0\n20|cloud_blob_id|TEXT|0|NULL|0\n21|full_text|TEXT|0|NULL|0\n22|elements_ref_frame_id|INTEGER|0|NULL|0\n0|id|INTEGER|0||1\n1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0\n2|session_id|TEXT|0||0\n3|relative_ms|INTEGER|1|0|0\n4|event_type|TEXT|1||0\n5|x|INTEGER|0||0\n6|y|INTEGER|0||0\n7|delta_x|INTEGER|0||0\n8|delta_y|INTEGER|0||0\n9|button|INTEGER|0||0\n10|click_count|INTEGER|0||0\n11|key_code|INTEGER|0||0\n12|modifiers|INTEGER|0||0\n13|text_content|TEXT|0||0\n14|text_length|INTEGER|0||0\n15|app_name|TEXT|0||0\n16|app_pid|INTEGER|0||0\n17|window_title|TEXT|0||0\n18|browser_url|TEXT|0||0\n19|element_role|TEXT|0||0\n20|element_name|TEXT|0||0\n21|element_value|TEXT|0||0\n22|element_description|TEXT|0||0\n23|element_automation_id|TEXT|0||0\n24|element_bounds|TEXT|0||0\n25|frame_id|INTEGER|0||0\n26|sync_id|TEXT|0||0\n27|machine_id|TEXT|0||0\n28|synced_at|DATETIME|0||0\n0|id|INTEGER|0||1\n1|file_path|TEXT|1||0\n2|device_name|TEXT|1|''|0\n3|sync_id|TEXT|0||0\n4|machine_id|TEXT|0||0\n5|synced_at|DATETIME|0||0\n6|fps|REAL|1|0.5|0\n7|cloud_blob_id|TEXT|0|NULL|0\n[rerun: b6]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check data counts and date ranges","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;\" 2>/dev/null\nsqlite3 /volume1/screenpipe/db.sqlite \"SELECT COUNT(*) FROM ocr_text;\" 2>/dev/null","depth":25,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00\n3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00\n666\n[rerun: b7]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Explore existing pipes for patterns","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\n[rerun: b8]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Read day-recap pipe documentation","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n[rerun: b9]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample app names from frames","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Safari\nActivity Monitor\nDia\niTerm2\nControl Centre\nUserNotificationCenter\nFinder\nClaude\nSlack\nFirefox\nRaycast\nNetAuthAgent\nQuickTime Player\n[rerun: b10]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample joined frame+ocr data for today","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE\n2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER\n2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p\n2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p\n2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi\n[rerun: b11]","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Sample recent audio transcriptions","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /volume1/screenpipe/db.sqlite \"SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"2026-04-09T17:02:52+00:00|.|System Audio\n2026-04-09T16:59:22+00:00|Class is technically...|System Audio\n2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio\n[rerun: b12]","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Good data to work with. Here's what we have:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Screen captures with OCR text, app name, window name (1135 frames so far)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"audio_transcriptions","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Voice/system audio transcripts","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"ui_events","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Mouse/keyboard events with app context","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":24,"role_description":"text"},{"role":"AXStaticText","text":": Raw video files","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Before I start building, a few quick questions:","depth":22,"role_description":"text"},{"role":"AXStaticText","text":"Tech stack","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"AI summaries","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"What summaries matter most?","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Day recap (what apps/windows you used, key text seen)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"App time breakdown (time per app)","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Audio/conversation recap","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Custom searchable timeline","depth":25,"role_description":"text"},{"role":"AXStaticText","text":"Here's the architecture I'm thinking:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"/volume1/screenpipe/app/\n├── main.py # FastAPI web UI\n├── cli.py # Click CLI: `python cli.py day-recap`\n├── db.py # Read-only queries against db.sqlite\n├── consumers/\n│ ├── activity.py # App usage, time per window\n│ ├── ocr.py # OCR text aggregation + search\n│ ├── audio.py # Transcription queries\n│ └── summary.py # AI summary builder\n└── static/\n └── index.html # Single-page UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"CLI commands would look like:","depth":22,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":22,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"python cli.py day-recap # EOD summary\npython cli.py activity --date today # App time breakdown\npython cli.py search \"docker\" # Search OCR/audio text\npython cli.py serve # Launch web UI","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"Does this direction work? Any preferences on the stack or which summaries to prioritize?","depth":22,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":23,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"seesm ok","depth":24,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":22,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Check Python and available packages","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"},{"role":"AXStaticText","text":"python3 --version && pip3 list 2>/dev/null | grep -E \"fastapi|uvicorn|click|anthropic|httpx|jinja\"","depth":24,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Python 3.11.2\n[rerun: b1]","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"Verify join works for today's data","depth":23,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":24,"role_description":"text"}]...
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click
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accessibility
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NULL
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update, 1 requires restart
3
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
Explorer Section: screenpipe [SSH: [IP_ADDRESS]]
SCREENPIPE [SSH: [IP_ADDRESS]]
#recycle
app
consumers
__init__.py
activity.py
audio.py
elements.py
interactions.py
ocr.py
report.py
summary.py
static
.env
cli.py
db.py
docker-compose.yml
Dockerfile
main.py
requirements.txt
data
pipes
db.sqlite
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
pipe.md, Editor Group 1
#!/bin/bash • Untitled-1, Editor Group 1
report.py, preview, Editor Group 1
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
"""Structured work report — no LLM needed."""
from datetime import date, datetime, timezone, timedelta
from typing import Any
from urllib.parse import urlparse
from db import get_conn, date_range, today as _today
BREAK_THRESHOLD_MIN = 10 # gap > 10 min = break
WORK_APPS = {
"code": {"iTerm2", "Terminal", "Code", "Visual Studio Code", "PyCharm", "Xcode", "Cursor"},
"browser": {"Firefox", "Safari", "Chrome", "Arc", "Dia"},
"comms": {"Slack", "Teams", "Discord", "Zoom", "Telegram", "WhatsApp"},
"docs": {"Word", "Pages", "Notion", "Obsidian", "Bear", "Typora"},
"ai": {"Claude", "ChatGPT"},
"design": {"Figma", "Sketch", "Photoshop", "Illustrator"},
"media": {"QuickTime Player", "VLC", "Spotify"},
"system": {"Finder", "Activity Monitor", "System Preferences", "System Settings",
"Raycast", "Control Centre", "UserNotificationCenter", "NetAuthAgent"},
}
def _categorize(app_name: str) -> str:
for cat, apps in WORK_APPS.items():
if app_name in apps:
return cat
return "other"
def _extract_domain(url: str) -> str:
try:
h = urlparse(url).netloc
return h.removeprefix("www.") if h else url[:40]
except Exception:
return url[:40]
def _parse_ts(ts: str) -> datetime:
ts = ts.replace("+00:00", "+00:00") # already UTC
try:
return datetime.fromisoformat(ts)
except ValueError:
return datetime.fromisoformat(ts[:26] + "+00:00")
def session_breakdown(for_date: date | None = None, break_min: int = BREAK_THRESHOLD_MIN) -> dict[str, Any]:
"""
Detect work sessions and breaks from frame timestamps.
Returns sessions, breaks, and totals.
"""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"SELECT timestamp FROM frames WHERE timestamp >= ? AND timestamp < ? ORDER BY timestamp",
(start, end),
).fetchall()
if not rows:
return {"sessions": [], "breaks": [], "total_active_min": 0, "total_break_min": 0, "date": str(d)}
timestamps = [_parse_ts(r["timestamp"]) for r in rows]
threshold = timedelta(minutes=break_min)
sessions: list[dict] = []
breaks: list[dict] = []
sess_start = timestamps[0]
prev = timestamps[0]
for ts in timestamps[1:]:
gap = ts - prev
if gap > threshold:
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
breaks.append({
"start": prev.isoformat(),
"end": ts.isoformat(),
"duration_min": round(gap.total_seconds() / 60, 1),
})
sess_start = ts
prev = ts
dur = (prev - sess_start).total_seconds() / 60
sessions.append({
"start": sess_start.isoformat(),
"end": prev.isoformat(),
"duration_min": round(dur, 1),
})
total_active = sum(s["duration_min"] for s in sessions)
total_break = sum(b["duration_min"] for b in breaks)
total_span = (timestamps[-1] - timestamps[0]).total_seconds() / 60
return {
"date": str(d),
"day_start": timestamps[0].isoformat(),
"day_end": timestamps[-1].isoformat(),
"total_span_min": round(total_span, 1),
"total_active_min": round(total_active, 1),
"total_break_min": round(total_break, 1),
"sessions": sessions,
"breaks": breaks,
}
def domain_breakdown(for_date: date | None = None) -> list[dict[str, Any]]:
"""Browser time grouped by domain."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT browser_url, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ?
AND browser_url IS NOT NULL AND browser_url != ''
GROUP BY browser_url
ORDER BY frames DESC
""",
(start, end),
).fetchall()
# Group by domain
domains: dict[str, dict] = {}
for r in rows:
domain = _extract_domain(r["browser_url"])
if domain not in domains:
domains[domain] = {"domain": domain, "minutes": 0, "urls": []}
domains[domain]["minutes"] = round(domains[domain]["minutes"] + r["minutes"], 1)
domains[domain]["urls"].append({"url": r["browser_url"], "minutes": r["minutes"]})
return sorted(domains.values(), key=lambda x: x["minutes"], reverse=True)
def slack_activity(for_date: date | None = None) -> dict[str, Any]:
"""Slack-specific: time, channels, message activity."""
d = for_date or _today()
start, end = date_range(d)
with get_conn() as conn:
# Time in Slack
time_row = conn.execute(
"""
SELECT COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
# Channels from window names
channels = conn.execute(
"""
SELECT window_name, COUNT(*) as frames, ROUND(COUNT(*)*2.0/60,1) as minutes
FROM frames
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
AND window_name IS NOT NULL AND window_name != ''
GROUP BY window_name ORDER BY frames DESC LIMIT 20
""",
(start, end),
).fetchall()
# Keystrokes in Slack (proxy for messages sent)
events = conn.execute(
"""
SELECT
SUM(CASE WHEN event_type='key' THEN 1 ELSE 0 END) as keystrokes,
SUM(CASE WHEN event_type='click' THEN 1 ELSE 0 END) as clicks
FROM ui_events
WHERE timestamp >= ? AND timestamp < ? AND app_name = 'Slack'
""",
(start, end),
).fetchone()
return {
"minutes": time_row["minutes"] if time_row else 0,
"frames": time_row["frames"] if time_row else 0,
"keystrokes": events["keystrokes"] if events else 0,
"clicks": events["clicks"] if events else 0,
"channels": [dict(r) for r in channels],
}
def work_report(for_date: date | None = None) -> dict[str, Any]:
"""Full structured work report — no AI needed."""
from consumers.activity import app_time, ui_event_summary
d = for_date or _today()
apps = app_time(d)
# Annotate with category
categorized: dict[str, list] = {}
for a in apps:
cat = _categorize(a["app_name"])
categorized.setdefault(cat, []).append(a)
return {
"date": str(d),
"sessions": session_breakdown(d),
"apps_by_category": categorized,
"domains": domain_breakdown(d),
"slack": slack_activity(d),
"ui_events": ui_event_summary(d),
}
Build screenpipe data UI…, Editor Group 2
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Screen Reader Optimized
Diff editor
Build screenpipe data UI and summary app
Session history
New session
Message actions
lets build app around screenpipe data and db. THe idea is to have ui and data consumers. So I can run regular commands at the end ot the day (or on demand) and create soem summary.
Thinking
Thinking
Let me explore the screenpipe directory to understand what we're working with.
Bash
List screenpipe directory contents
IN
ls /volume1/screenpipe/
Copy code to clipboard
OUT
data
db.sqlite
pipes
#recycle
[rerun: b1]
Bash
List data and pipes directories
IN
ls /volume1/screenpipe/data/ | head -20 && ls /volume1/screenpipe/pipes/
Copy code to clipboard
OUT
2026-04-09
2026-04-11
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
[rerun: b2]
Bash
List tables in screenpipe SQLite database
IN
sqlite3 /volume1/screenpipe/db.sqlite ".tables"
Copy code to clipboard
OUT
_sqlx_migrations meetings
audio_chunks memories
audio_tags memories_fts
audio_transcriptions memories_fts_config
audio_transcriptions_fts memories_fts_data
audio_transcriptions_fts_config memories_fts_docsize
audio_transcriptions_fts_data memories_fts_idx
audio_transcriptions_fts_docsize ocr_text
audio_transcriptions_fts_idx pipe_executions
elements pipe_scheduler_state
elements_fts speaker_embeddings
elements_fts_config speakers
elements_fts_data tags
elements_fts_docsize ui_events
elements_fts_idx ui_events_fts
frames ui_events_fts_config
frames_fts ui_events_fts_data
frames_fts_config ui_events_fts_docsize
frames_fts_content ui_events_fts_idx
frames_fts_data video_chunks
frames_fts_docsize vision_tags
frames_fts_idx
[rerun: b3]
Bash
Get ocr_text table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(ocr_text);"
Copy code to clipboard
OUT
0|frame_id|INTEGER|1||0
1|text|TEXT|1||0
2|text_json|TEXT|0||0
3|app_name|TEXT|1|''|0
4|ocr_engine|TEXT|1|'unknown'|0
5|window_name|TEXT|0||0
6|focused|BOOLEAN|0|FALSE|0
7|text_length|INTEGER|0||0
8|sync_id|TEXT|0||0
9|synced_at|DATETIME|0||0
[rerun: b4]
Bash
Get audio_transcriptions table schema
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(audio_transcriptions);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|audio_chunk_id|INTEGER|1||0
2|offset_index|INTEGER|1||0
3|timestamp|TIMESTAMP|1||0
4|transcription|TEXT|1||0
5|device|TEXT|1|''|0
6|is_input_device|BOOLEAN|1|TRUE|0
7|speaker_id|INTEGER|0||0
8|transcription_engine|TEXT|1|'Whisper'|0
9|start_time|REAL|0||0
10|end_time|REAL|0||0
11|text_length|INTEGER|0||0
12|sync_id|TEXT|0||0
13|synced_at|DATETIME|0||0
[rerun: b5]
Bash
Get frames, ui_events, video_chunks schemas
IN
sqlite3 /volume1/screenpipe/db.sqlite "PRAGMA table_info(frames); PRAGMA table_info(ui_events); PRAGMA table_info(video_chunks);"
Copy code to clipboard
OUT
0|id|INTEGER|0||1
1|video_chunk_id|INTEGER|0|NULL|0
2|offset_index|INTEGER|1|0|0
3|timestamp|TIMESTAMP|1||0
4|name|TEXT|0||0
5|app_name|TEXT|0|NULL|0
6|window_name|TEXT|0|NULL|0
7|focused|BOOLEAN|0|NULL|0
8|browser_url|TEXT|0|NULL|0
9|device_name|TEXT|1|''|0
10|sync_id|TEXT|0||0
11|machine_id|TEXT|0||0
12|synced_at|DATETIME|0||0
13|snapshot_path|TEXT|0|NULL|0
14|accessibility_text|TEXT|0|NULL|0
15|accessibility_tree_json|TEXT|0|NULL|0
16|content_hash|INTEGER|0|NULL|0
17|simhash|INTEGER|0|NULL|0
18|capture_trigger|TEXT|0|NULL|0
19|text_source|TEXT|0|NULL|0
20|cloud_blob_id|TEXT|0|NULL|0
21|full_text|TEXT|0|NULL|0
22|elements_ref_frame_id|INTEGER|0|NULL|0
0|id|INTEGER|0||1
1|timestamp|DATETIME|1|CURRENT_TIMESTAMP|0
2|session_id|TEXT|0||0
3|relative_ms|INTEGER|1|0|0
4|event_type|TEXT|1||0
5|x|INTEGER|0||0
6|y|INTEGER|0||0
7|delta_x|INTEGER|0||0
8|delta_y|INTEGER|0||0
9|button|INTEGER|0||0
10|click_count|INTEGER|0||0
11|key_code|INTEGER|0||0
12|modifiers|INTEGER|0||0
13|text_content|TEXT|0||0
14|text_length|INTEGER|0||0
15|app_name|TEXT|0||0
16|app_pid|INTEGER|0||0
17|window_title|TEXT|0||0
18|browser_url|TEXT|0||0
19|element_role|TEXT|0||0
20|element_name|TEXT|0||0
21|element_value|TEXT|0||0
22|element_description|TEXT|0||0
23|element_automation_id|TEXT|0||0
24|element_bounds|TEXT|0||0
25|frame_id|INTEGER|0||0
26|sync_id|TEXT|0||0
27|machine_id|TEXT|0||0
28|synced_at|DATETIME|0||0
0|id|INTEGER|0||1
1|file_path|TEXT|1||0
2|device_name|TEXT|1|''|0
3|sync_id|TEXT|0||0
4|machine_id|TEXT|0||0
5|synced_at|DATETIME|0||0
6|fps|REAL|1|0.5|0
7|cloud_blob_id|TEXT|0|NULL|0
[rerun: b6]
Bash
Check data counts and date ranges
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM frames;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*), MIN(timestamp), MAX(timestamp) FROM audio_transcriptions;" 2>/dev/null
sqlite3 /volume1/screenpipe/db.sqlite "SELECT COUNT(*) FROM ocr_text;" 2>/dev/null
Copy code to clipboard
OUT
1135|2026-04-09T16:53:09.043761+00:00|2026-04-11T12:54:42.597794+00:00
3|2026-04-09T16:53:20+00:00|2026-04-09T17:02:52+00:00
666
[rerun: b7]
Bash
Explore existing pipes for patterns
IN
ls /volume1/screenpipe/pipes/day-recap/ 2>/dev/null && cat /volume1/screenpipe/pipes/day-recap/*.js 2>/dev/null | head -50
Copy code to clipboard
OUT
pipe.md
[rerun: b8]
Bash
Read day-recap pipe documentation
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
[rerun: b9]
Bash
Sample app names from frames
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT DISTINCT app_name FROM frames WHERE app_name != '' LIMIT 20;"
Copy code to clipboard
OUT
Safari
Activity Monitor
Dia
iTerm2
Control Centre
UserNotificationCenter
Finder
Claude
Slack
Firefox
Raycast
NetAuthAgent
QuickTime Player
[rerun: b10]
Bash
Sample joined frame+ocr data for today
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT f.timestamp, o.app_name, o.window_name, substr(o.text, 1, 100) as text FROM frames f JOIN ocr_text o ON f.id = o.frame_id WHERE DATE(f.timestamp) = '2026-04-11' LIMIT 5;"
Copy code to clipboard
OUT
2026-04-11T11:53:00.627698+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <47H5Sat 11 Apr 14:53:00-zshDOCKE
2026-04-11T11:53:02.005967+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA-zsh100% <7H5Sat 11 Apr 14:53:01-zshDOCKER
2026-04-11T11:53:03.627468+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:03-zshDOCKERuse p
2026-04-11T11:53:05.528794+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <47Sat 11 Apr 14:53:05-zshDOCKERuse p
2026-04-11T11:53:07.662098+00:00|||iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0(ahlA100% <7Sat 11 Apr 14:53:07-zshDOCKERuse pi
[rerun: b11]
Bash
Sample recent audio transcriptions
IN
sqlite3 /volume1/screenpipe/db.sqlite "SELECT timestamp, substr(transcription,1,100) as text, device FROM audio_transcriptions ORDER BY timestamp DESC LIMIT 5;"
Copy code to clipboard
OUT
2026-04-09T17:02:52+00:00|.|System Audio
2026-04-09T16:59:22+00:00|Class is technically...|System Audio
2026-04-09T16:53:20+00:00|I do for you. Run the credit check. Deal apartment. Okay.|System Audio
[rerun: b12]
Thinking
Thinking
Good data to work with. Here's what we have:
frames
+
ocr_text
: Screen captures with OCR text, app name, window name (1135 frames so far)
audio_transcriptions
: Voice/system audio transcripts
ui_events
: Mouse/keyboard events with app context
video_chunks
: Raw video files
Before I start building, a few quick questions:
Tech stack
— Python OK? (FastAPI for the web UI backend, Click for CLI commands, HTMX for the frontend to keep it simple)
AI summaries
— Do you have a Claude API key to use for generating the actual summaries? Or should I integrate with a local model / skip AI for now?
What summaries matter most?
Day recap (what apps/windows you used, key text seen)
App time breakdown (time per app)
Audio/conversation recap
Custom searchable timeline
Here's the architecture I'm thinking:
Copy code to clipboard
/volume1/screenpipe/app/
├── main.py # FastAPI web UI
├── cli.py # Click CLI: `python cli.py day-recap`
├── db.py # Read-only queries against db.sqlite
├── consumers/
│ ├── activity.py # App usage, time per window
│ ├── ocr.py # OCR text aggregation + search
│ ├── audio.py # Transcription queries
│ └── summary.py # AI summary builder
└── static/
└── index.html # Single-page UI
CLI commands would look like:
Copy code to clipboard
python cli.py day-recap # EOD summary
python cli.py activity --date today # App time breakdown
python cli.py search "docker" # Search OCR/audio text
python cli.py serve # Launch web UI
Does this direction work? Any preferences on the stack or which summaries to prioritize?
Message actions
seesm ok
Thinking
Thinking
Bash
Check Python and available packages
IN
python3 --version && pip3 list 2>/dev/null | grep -E "fastapi|uvicorn|click|anthropic|httpx|jinja"
Copy code to clipboard
OUT
Python 3.11.2
[rerun: b1]
Bash
Verify join works for today's data
IN...
|
NULL
|
|
1507
|
33
|
29
|
2026-04-11T17:35:55.259416+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928955259_m1.jpg...
|
Firefox
|
Screenpipe Dashboard — Personal
|
True
|
http://100.73.206.126:8766
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Screenpipe
Screenpipe
Activity
Search
Audio
Work Report
AI Summary
Date
11
/
04
/
2026
Calendar
TOTAL SPAN
1.0h
14:52 → 15:54
ACTIVE
1.0h
BREAKS
0 breaks · 0.0h
SESSIONS
1
62m
FRAMES
612
APPS
6
UI EVENTS
1344
AUDIO
0
ACTIVE PERIOD
14:52 → 15:54
TIME PER APP
— CLICK TO FILTER RIGHT PANEL
iTerm2
5.2m
Firefox
1.5m
Finder
0.6m
QuickTime Player
0.5m
NetAuthAgent
0.1m
Raycast
0.1m
Websites
Windows
UI Events
nas.lakylak.xyz/desktop/#/
0.7m
play.hbomax.com/video/watch/6b742798-e5fa-4f90-8beb-74c328dc5028/65d19c63-e85e-4392-8594-f0f2e0a1dc2d
0.1m
nas.lakylak.xyz/desktop/#/login/account
0.1m
login.tailscale.com/login?next_url=%2Fadmin
0.1m
dennikn.sk/5263377/lod-orion-uspesne-pristala-na-zemi-desat-veci-ktore-si-pamatat-na-misii-artemis-ii/
0.1m
http://localhost:3030
0m
addons.mozilla.org/en-US/firefox/addon/vimium-ff/?utm_source=addons.mozilla.org&utm_medium=referral&utm_content=search
0m
accounts.google.com/v3/signin/accountchooser?access_type=offline&client_id=674241127656-lmq9su4p8ni1tcpuh6eqidoornqtvmvi.apps.googleusercontent.com&prompt=select_account&redirect_uri=https%3A%2F%2Flogin.tailscale.com%2Fa%2Foauth_response&response_type=code&scope=openid+email+profile&state=tc-ftYwP8oB0urJfQZeh42KPfA&dsh=S1949714251%3A1775911302074699&o2v=2&service=lso&flowName=GeneralOAuthFlow&opparams=%253F&continue=https%3A%2F%2Faccounts.google.com%2Fsignin%2Foauth%2Fconsent%3Fauthuser%3Dunknown%26part%3DAJi8hAOOoeMJ9h1ZWE-Aau2rWQdjwJ-4Enpv6Ci-0hiDSq5jW9TsVTl1btOELm96_EZaQdgfRwBdj1zZGB_CYauRC0fkTqY_cZ35H_NcJOU2_4Ax0Gtto-fKf-nDgh4daUIBqdTh68bjSxOce25-KnK0XYdHV8mzb69bNhDZHVDj_gb42yLS6CaLOtRfvBqDUDqR3SzLMQPfBkXHhJz6IM_7wq52TLTL563ihzeGQBECsxCnD1Yk27REW5r_eZ0TNXkkAX7P1hB8gAkBKuZVXHltsgP7jvfc8R1fsuXURwjdV8kBOMOg3Reld6-0t5nB9qwgvuYCJsuo0Q7IMz9o-t41651a_Wsc0FnlTxFC_0DA-eKXtSlPZHRy9BW_O_UgliMh8Y9cnLpKZ4r9A_LwCm6flXHR1tZWe_NA_YGhQ9EYSdByTuW1hMcIXXh1Alssc0Sb9BtxZ5mPnlLjTXaWd8LEtCrsHv1HQQ%26flowName%3DGeneralOAuthFlow%26as%3DS1949714251%253A1775911302074699%26client_id%3D674241127656-lmq9su4p8ni1tcpuh6eqidoornqtvmvi.apps.googleusercontent.com%26requestPath%3D%252Fsignin%252Foauth%252Fconsent%23&app_domain=https%3A%2F%2Flogin.tailscale.com
0m...
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Linkwarden – Get this Extension for 🦊 Firefox (en- Linkwarden – Get this Extension for 🦊 Firefox (en-US)
addons.mozilla.org
DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Close tab
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Screenpipe
Screenpipe
Activity
Search
Audio
Work Report
AI Summary
Date
11
/
04
/
2026
Calendar
TOTAL SPAN
1.0h
14:52 → 15:54
ACTIVE
1.0h
BREAKS
0 breaks · 0.0h
SESSIONS
1
62m
FRAMES
612
APPS
6
UI EVENTS
1344
AUDIO
0
ACTIVE PERIOD
14:52 → 15:54
TIME PER APP
— CLICK TO FILTER RIGHT PANEL
iTerm2
5.2m
Firefox
1.5m
Finder
0.6m
QuickTime Player
0.5m
NetAuthAgent
0.1m
Raycast
0.1m
Websites
Windows
UI Events
nas.lakylak.xyz/desktop/#/
0.7m
play.hbomax.com/video/watch/6b742798-e5fa-4f90-8beb-74c328dc5028/65d19c63-e85e-4392-8594-f0f2e0a1dc2d
0.1m
nas.lakylak.xyz/desktop/#/login/account
0.1m
login.tailscale.com/login?next_url=%2Fadmin
0.1m
dennikn.sk/5263377/lod-orion-uspesne-pristala-na-zemi-desat-veci-ktore-si-pamatat-na-misii-artemis-ii/
0.1m
http://localhost:3030
0m
addons.mozilla.org/en-US/firefox/addon/vimium-ff/?utm_source=addons.mozilla.org&utm_medium=referral&utm_content=search
0m
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Linkwarden – Get this Extension for 🦊 Firefox (en- Linkwarden – Get this Extension for 🦊 Firefox (en-US) — Personal...
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
This add-on is not actively monitored for security by Mozilla. Make sure you trust it before installing.
Learn more
Learn more
Linkwarden by Daniel31x13 , Jordan Higuera
Linkwarden
by
Daniel31x13
Daniel31x13
,
Jordan Higuera
Jordan Higuera
The browser extension for Linkwarden.
4.6 (35 reviews) 4.6 (35 reviews)
4.6 (35 reviews)
4.6 (35 reviews)
2,613 Users
2,613 Users
Remove
Remove
Extension Metadata
Extension Metadata
Screenshots
Rated 4.6 by 35 reviewers
Log in to rate this extension
Log in to rate this extension
There are no ratings yet
5
5
Read all 27 five-star reviews
27
27
4
4
Read all 3 four-star reviews
3
3
3
3
Read all 4 three-star reviews
4
4
2
2
Read the 1 two-star review
1
1
1
1
There are no one-star reviews
0
0
Read all 35 reviews
Read all 35 reviews
Permissions and data
Required permissions:
Required permissions:
Read and modify bookmarks
Access browser tabs
Optional permissions:
Optional permissions:
Access your data for all websites
Learn more
Learn more
More information
Add-on Links
Support site
Support site
Support Email
Support Email
Version
1.5.2
Size
206.89 KB
Last updated
18 days ago (Mar 24, 2026)
Related Categories
Bookmarks
Bookmarks
∙
Social & Communication
Social & Communication
License
MIT License
MIT License
Version History
See all versions
See all versions
Add to collection
Report this add-on
Report this add-on
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click
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accessibility
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NULL
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Linkwarden – Get this Extension for 🦊 Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
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Open history (⇧⌘H)
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This add-on is not actively monitored for security by Mozilla. Make sure you trust it before installing.
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Linkwarden by Daniel31x13 , Jordan Higuera
Linkwarden
by
Daniel31x13
Daniel31x13
,
Jordan Higuera
Jordan Higuera
The browser extension for Linkwarden.
4.6 (35 reviews) 4.6 (35 reviews)
4.6 (35 reviews)
4.6 (35 reviews)
2,613 Users
2,613 Users
Remove
Remove
Extension Metadata
Extension Metadata
Screenshots
Rated 4.6 by 35 reviewers
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There are no ratings yet
5
5
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27
27
4
4
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3
3
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3
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4
4
2
2
Read the 1 two-star review
1
1
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0
Read all 35 reviews
Read all 35 reviews
Permissions and data
Required permissions:
Required permissions:
Read and modify bookmarks
Access browser tabs
Optional permissions:
Optional permissions:
Access your data for all websites
Learn more
Learn more
More information
Add-on Links
Support site
Support site
Support Email
Support Email
Version
1.5.2
Size
206.89 KB
Last updated
18 days ago (Mar 24, 2026)
Related Categories
Bookmarks
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∙
Social & Communication
Social & Communication
License
MIT License
MIT License
Version History
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Grammar and Spell Checker - LanguageTool...
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NULL
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1510
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33
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32
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2026-04-11T17:36:06.856292+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928966856_m1.jpg...
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Firefox
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Add-ons for Firefox (en-US) — Personal
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True
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addons.mozilla.org/en-US/firefox/
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monitor_1
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NULL
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NULL
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NULL
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NULL
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
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Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
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Irán – Denník N
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Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
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Screenpipe Dashboard
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Add-ons for Firefox (en-US)
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Close tab
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Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
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Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
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Themes
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click
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accessibility
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
RECOMMENDED
Emoji
Emoji
Take emojis with you everywhere on the web.
Get the extension
Get the extension
Extensions are like apps for Firefox.
Extensions are like apps for Firefox.
They add features to Firefox to make browsing faster, safer, or just plain fun.
See all extensions
See all extensions
Extension Starter Pack
See staff picks
See staff picks
Productivity extensions
See staff picks
See staff picks
Privacy & Security
See staff picks
See staff picks
Recommended extensions
See more recommended extensions
See more recommended extensions
SingleFile
SingleFile
SingleFile
82,401 users
82,401 users
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
1,159,712 users
1,159,712 users
Disconnect
Disconnect
Disconnect
66,417 users
66,417 users
Chrome Mask
Chrome Mask
Chrome Mask
50,236 users
50,236 users
Trending themes
See more trending themes
See more trending themes
Meteor Dragon
Meteor Dragon
Meteor Dragon
324 users
324 users
Double Phantasy
Double Phantasy
Double Phantasy
1,369 users
1,369 users
Rosy Sky
Rosy Sky
Rosy Sky
2,542 users
2,542 users
Tab managers
See more tab management staff picks
See more tab management staff picks
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
78,796 users
78,796 users
Auto Tab Discard
Auto Tab Discard
Auto Tab Discard
84,546 users
84,546 users
OneTab
OneTab
OneTab
164,052 users
164,052 users
Tab Session Manager
Tab Session Manager
Tab Session Manager
154,191 users
154,191 users
Social media extensions
See more social media staff picks
See more social media staff picks
Return YouTube Dislike
Return YouTube Dislike
Return YouTube Dislike
930,239 users
930,239 users
BetterTTV
BetterTTV
BetterTTV
490,042 users
490,042 users
YouTube Search Fixer
YouTube Search Fixer
YouTube Search Fixer
34,022 users
34,022 users
Control Panel for Twitter
Control Panel for Twitter
Control Panel for Twitter
48,333 users
48,333 users
Recommended themes
See more recommended themes
See more recommended themes
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
165 users
165 users
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
6,467 users
6,467 users
teal glitter (animated)
teal glitter (animated)
teal glitter (animated)
298 users
298 users
Accessibility extensions
See more accessibility staff picks
See more accessibility staff picks
Dark Reader
Dark Reader
Dark Reader
1,311,453 users
1,311,453 users
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
217,606 users
217,606 users
Dark Mode
Dark Mode
Dark Mode
49,163 users
49,163 users
Sidebery
Sidebery
Sidebery
57,342 users
57,342 users
“security” tagged extensions
See more extensions tagged "security"
See more extensions tagged "security"
uBlock Origin
uBlock Origin
uBlock Origin
10,603,109 users
10,603,109 users
AdGuard AdBlocker
AdGuard AdBlocker
AdGuard AdBlocker
1,670,177 users
1,670,177 users
Bitwarden Password Manager
Bitwarden Password Manager
Bitwarden Password Manager
965,377 users
965,377 users
Decentraleyes
Decentraleyes
Decentraleyes
253,250 users
253,250 users
Change the way Firefox looks with themes.
Change the way Firefox looks with themes.
Abstract
Abstract
Nature
Nature
Film & TV
Film & TV
Scenery
Scenery
Music
Music
Seasonal
Seasonal
Go to Mozilla's homepage
Go to Mozilla's homepage
Add-ons
Add-ons
Add-ons
About
About
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Developer Policies
Developer Policies
Community Blog
Community Blog
Forum
Forum
Report a bug
Report a bug
Review Guide
Review Guide
Browsers
Browsers
Desktop
Desktop
Mobile
Mobile
Enterprise
Enterprise
Products
Products
Browsers
Browsers
VPN
VPN
Relay
Relay
Monitor
Monitor
Pocket
Pocket
Bluesky (@firefox.com)
Bluesky (@firefox.com)
Instagram (Firefox)
Instagram (Firefox)
YouTube (firefoxchannel)
YouTube (firefoxchannel)
Privacy
Privacy
Cookies
Cookies
Legal
Legal
Except where otherwise
noted
noted
, content on this site is licensed under the
Creative Commons Attribution Share-Alike License v3.0
Creative Commons Attribution Share-Alike License v3.0
or any later version.
Change language...
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1509
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1512
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33
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34
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2026-04-11T17:36:09.863925+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775928969863_m1.jpg...
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Firefox
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Add-ons for Firefox (en-US) — Personal
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True
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addons.mozilla.org/en-US/firefox/
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monitor_1
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NULL
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NULL
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NULL
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NULL
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
RECOMMENDED
Emoji
Emoji
Take emojis with you everywhere on the web.
Get the extension
Get the extension
Extensions are like apps for Firefox.
Extensions are like apps for Firefox.
They add features to Firefox to make browsing faster, safer, or just plain fun.
See all extensions
See all extensions
Extension Starter Pack
See staff picks
See staff picks
Productivity extensions
See staff picks
See staff picks
Privacy & Security
See staff picks
See staff picks
Recommended extensions
See more recommended extensions
See more recommended extensions
SingleFile
SingleFile
SingleFile
82,401 users
82,401 users
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
1,159,712 users
1,159,712 users
Disconnect
Disconnect
Disconnect
66,417 users
66,417 users
Chrome Mask
Chrome Mask
Chrome Mask
50,236 users
50,236 users
Trending themes
See more trending themes
See more trending themes
Meteor Dragon
Meteor Dragon
Meteor Dragon
324 users
324 users
Double Phantasy
Double Phantasy
Double Phantasy
1,369 users
1,369 users
Rosy Sky
Rosy Sky
Rosy Sky
2,542 users
2,542 users
Tab managers
See more tab management staff picks
See more tab management staff picks
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
78,796 users
78,796 users
Auto Tab Discard
Auto Tab Discard
Auto Tab Discard
84,546 users
84,546 users
OneTab
OneTab
OneTab
164,052 users
164,052 users
Tab Session Manager
Tab Session Manager
Tab Session Manager
154,191 users
154,191 users
Social media extensions
See more social media staff picks
See more social media staff picks
Return YouTube Dislike
Return YouTube Dislike
Return YouTube Dislike
930,239 users
930,239 users
BetterTTV
BetterTTV
BetterTTV
490,042 users
490,042 users
YouTube Search Fixer
YouTube Search Fixer
YouTube Search Fixer
34,022 users
34,022 users
Control Panel for Twitter
Control Panel for Twitter
Control Panel for Twitter
48,333 users
48,333 users
Recommended themes
See more recommended themes
See more recommended themes
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
165 users
165 users
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
6,467 users
6,467 users
teal glitter (animated)
teal glitter (animated)
teal glitter (animated)
298 users
298 users
Accessibility extensions
See more accessibility staff picks
See more accessibility staff picks
Dark Reader
Dark Reader
Dark Reader
1,311,453 users
1,311,453 users
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
217,606 users
217,606 users
Dark Mode
Dark Mode
Dark Mode
49,163 users
49,163 users
Sidebery
Sidebery
Sidebery
57,342 users
57,342 users
“security” tagged extensions
See more extensions tagged "security"
See more extensions tagged "security"
uBlock Origin
uBlock Origin
uBlock Origin
10,603,109 users
10,603,109 users
AdGuard AdBlocker
AdGuard AdBlocker
AdGuard AdBlocker
1,670,177 users
1,670,177 users
Bitwarden Password Manager
Bitwarden Password Manager
Bitwarden Password Manager
965,377 users
965,377 users
Decentraleyes
Decentraleyes
Decentraleyes
253,250 users
253,250 users
Change the way Firefox looks with themes.
Change the way Firefox looks with themes.
Abstract
Abstract
Nature
Nature
Film & TV
Film & TV
Scenery
Scenery
Music
Music
Seasonal
Seasonal
Go to Mozilla's homepage
Go to Mozilla's homepage
Add-ons
Add-ons
Add-ons
About
About
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Developer Policies
Developer Policies
Community Blog
Community Blog
Forum
Forum
Report a bug
Report a bug
Review Guide
Review Guide
Browsers
Browsers
Desktop
Desktop
Mobile
Mobile
Enterprise
Enterprise
Products
Products
Browsers
Browsers
VPN
VPN
Relay
Relay
Monitor
Monitor
Pocket
Pocket
Bluesky (@firefox.com)
Bluesky (@firefox.com)
Instagram (Firefox)
Instagram (Firefox)
YouTube (firefoxchannel)
YouTube (firefoxchannel)
Privacy
Privacy
Cookies
Cookies
Legal
Legal
Except where otherwise
noted
noted
, content on this site is licensed under the
Creative Commons Attribution Share-Alike License v3.0
Creative Commons Attribution Share-Alike License v3.0
or any later version.
Change language...
|
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1247300013418283538
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click
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accessibility
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NULL
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
RECOMMENDED
Emoji
Emoji
Take emojis with you everywhere on the web.
Get the extension
Get the extension
Extensions are like apps for Firefox.
Extensions are like apps for Firefox.
They add features to Firefox to make browsing faster, safer, or just plain fun.
See all extensions
See all extensions
Extension Starter Pack
See staff picks
See staff picks
Productivity extensions
See staff picks
See staff picks
Privacy & Security
See staff picks
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SingleFile
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82,401 users
82,401 users
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
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1,159,712 users
1,159,712 users
Disconnect
Disconnect
Disconnect
66,417 users
66,417 users
Chrome Mask
Chrome Mask
Chrome Mask
50,236 users
50,236 users
Trending themes
See more trending themes
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Meteor Dragon
Meteor Dragon
Meteor Dragon
324 users
324 users
Double Phantasy
Double Phantasy
Double Phantasy
1,369 users
1,369 users
Rosy Sky
Rosy Sky
Rosy Sky
2,542 users
2,542 users
Tab managers
See more tab management staff picks
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Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
78,796 users
78,796 users
Auto Tab Discard
Auto Tab Discard
Auto Tab Discard
84,546 users
84,546 users
OneTab
OneTab
OneTab
164,052 users
164,052 users
Tab Session Manager
Tab Session Manager
Tab Session Manager
154,191 users
154,191 users
Social media extensions
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Return YouTube Dislike
Return YouTube Dislike
Return YouTube Dislike
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930,239 users
BetterTTV
BetterTTV
BetterTTV
490,042 users
490,042 users
YouTube Search Fixer
YouTube Search Fixer
YouTube Search Fixer
34,022 users
34,022 users
Control Panel for Twitter
Control Panel for Twitter
Control Panel for Twitter
48,333 users
48,333 users
Recommended themes
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Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
165 users
165 users
Keqing (Card) - Genshin Impact
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6,467 users
teal glitter (animated)
teal glitter (animated)
teal glitter (animated)
298 users
298 users
Accessibility extensions
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See more accessibility staff picks
Dark Reader
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Dark Reader
1,311,453 users
1,311,453 users
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
217,606 users
217,606 users
Dark Mode
Dark Mode
Dark Mode
49,163 users
49,163 users
Sidebery
Sidebery
Sidebery
57,342 users
57,342 users
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uBlock Origin
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uBlock Origin
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10,603,109 users
AdGuard AdBlocker
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AdGuard AdBlocker
1,670,177 users
1,670,177 users
Bitwarden Password Manager
Bitwarden Password Manager
Bitwarden Password Manager
965,377 users
965,377 users
Decentraleyes
Decentraleyes
Decentraleyes
253,250 users
253,250 users
Change the way Firefox looks with themes.
Change the way Firefox looks with themes.
Abstract
Abstract
Nature
Nature
Film & TV
Film & TV
Scenery
Scenery
Music
Music
Seasonal
Seasonal
Go to Mozilla's homepage
Go to Mozilla's homepage
Add-ons
Add-ons
Add-ons
About
About
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Developer Policies
Developer Policies
Community Blog
Community Blog
Forum
Forum
Report a bug
Report a bug
Review Guide
Review Guide
Browsers
Browsers
Desktop
Desktop
Mobile
Mobile
Enterprise
Enterprise
Products
Products
Browsers
Browsers
VPN
VPN
Relay
Relay
Monitor
Monitor
Pocket
Pocket
Bluesky (@firefox.com)
Bluesky (@firefox.com)
Instagram (Firefox)
Instagram (Firefox)
YouTube (firefoxchannel)
YouTube (firefoxchannel)
Privacy
Privacy
Cookies
Cookies
Legal
Legal
Except where otherwise
noted
noted
, content on this site is licensed under the
Creative Commons Attribution Share-Alike License v3.0
Creative Commons Attribution Share-Alike License v3.0
or any later version.
Change language...
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Firefox
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Firefox - Choose a profile
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Choose a Firefox profile
Choose a Firefox profile
Choose a Firefox profile
Choose a Firefox profile
Keep your work and personal browsing, including things like passwords and bookmarks, totally separate. Or create profiles for everyone who uses this device.
Open Personal
Personal
Personal
Edit profile
Delete profile
Open Work
Work
Work
Edit profile
Delete profile
Create a profile
Create a profile
Create a profile
Choose a profile when Firefox opens
Choose a profile when Firefox opens...
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1513
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2026-04-11T17:36:18.735650+00:00
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
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Edit profile
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New Tab
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Open Google Gemini (⌃X)
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Open history (⇧⌘H)
Open bookmarks (⌘B)
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DXP4800PLUS-B5F8
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Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
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Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
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Vimium – Get this Extension for 🦊 Firefox (en-US)
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Irán – Denník N
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Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
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Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
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Yellow
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Purple
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
Edit profile
Edit profile
Close tab
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Edit
Edit
Edit your profile
Edit your profile
Profile name
Personal
Theme
Theme
Gray
Yellow
Orange
Red
Pink
Purple
Violet
Blue
Green
Cyan
System
Explore more themes
Explore more themes
Delete
Delete
Done editing
Done editing...
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2977240195505915081
|
3813424447177543342
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NULL
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
Edit profile
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Close tab
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
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Bitwarden
Edit
Edit
Edit your profile
Edit your profile
Profile name
Personal
Theme
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Gray
Yellow
Orange
Red
Pink
Purple
Violet
Blue
Green
Cyan
System
Explore more themes
Explore more themes
Delete
Delete
Done editing
Done editing...
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Firefox
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Edit profile — Personal
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
Edit profile
Edit profile
Close tab
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Edit
Edit
Icon
Icon
Custom
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Apply barbell avatar
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Apply bike avatar
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Apply book avatar
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Apply briefcase avatar
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Apply picture avatar
Apply craft avatar
Apply craft avatar
Apply globe avatar
Apply globe avatar
Apply diamond avatar
Apply diamond avatar
Apply flower avatar
Apply flower avatar
Apply folder avatar
Apply folder avatar
Apply hammer avatar
Apply hammer avatar
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Apply heart avatar
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Apply clock avatar
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Apply leaf avatar
Apply lightbulb avatar
Apply lightbulb avatar
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Apply makeup avatar
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Apply message avatar
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Apply musical note avatar
Apply palette avatar
Apply palette avatar
Apply paw print avatar
Apply paw print avatar
Apply plane avatar
Apply plane avatar
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Apply present avatar
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Apply soccer ball avatar
Apply soccer ball avatar
Apply sparkle avatar
Apply sparkle avatar
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Profile name
Personal
Theme
Theme
Gray
Yellow
Orange
Red
Pink
Purple
Violet
Blue
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Cyan
System
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Delete
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
Edit profile
Edit profile
Close tab
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Edit
Edit
Icon
Icon
Custom
Custom
Apply barbell avatar
Apply barbell avatar
Apply bike avatar
Apply bike avatar
Apply book avatar
Apply book avatar
Apply briefcase avatar
Apply briefcase avatar
Apply picture avatar
Apply picture avatar
Apply craft avatar
Apply craft avatar
Apply globe avatar
Apply globe avatar
Apply diamond avatar
Apply diamond avatar
Apply flower avatar
Apply flower avatar
Apply folder avatar
Apply folder avatar
Apply hammer avatar
Apply hammer avatar
Apply heart avatar
Apply heart avatar
Apply heart rate avatar
Apply heart rate avatar
Apply clock avatar
Apply clock avatar
Apply leaf avatar
Apply leaf avatar
Apply lightbulb avatar
Apply lightbulb avatar
Apply makeup avatar
Apply makeup avatar
Apply message avatar
Apply message avatar
Apply musical note avatar
Apply musical note avatar
Apply palette avatar
Apply palette avatar
Apply paw print avatar
Apply paw print avatar
Apply plane avatar
Apply plane avatar
Apply present avatar
Apply present avatar
Apply shopping cart avatar
Apply shopping cart avatar
Apply soccer ball avatar
Apply soccer ball avatar
Apply sparkle avatar
Apply sparkle avatar
Apply star avatar
Apply star avatar
Apply video game controller avatar
Apply video game controller avatar
Edit your profile
Edit your profile
Profile name
Personal
Theme
Theme
Gray
Yellow
Orange
Red
Pink
Purple
Violet
Blue
Green
Cyan
System
Explore more themes
Explore more themes
Delete
Delete
Done editing
Done editing...
|
NULL
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1520
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33
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42
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2026-04-11T17:36:44.013813+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775929004013_m1.jpg...
|
Firefox
|
Edit profile — Personal
|
True
|
addons.mozilla.org/en-US/firefox/
|
monitor_1
|
NULL
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NULL
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NULL
|
NULL
|
DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
Edit profile
Edit profile
Close tab
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
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DuckDuckGo Search & Tracker Protection
1,159,712 users
1,159,712 users
Disconnect
Disconnect
Disconnect
66,417 users
66,417 users
Chrome Mask
Chrome Mask
Chrome Mask
Rated 4.5 out of 5
Trending themes
See more trending themes
See more trending themes
Meteor Dragon
Meteor Dragon
Meteor Dragon
324 users
324 users
Double Phantasy
Double Phantasy
Double Phantasy
1,369 users
1,369 users
Rosy Sky
Rosy Sky
Rosy Sky
2,542 users
2,542 users
Tab managers
See more tab management staff picks
See more tab management staff picks
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
78,796 users
78,796 users
Auto Tab Discard
Auto Tab Discard
Auto Tab Discard
84,546 users
84,546 users
OneTab
OneTab
OneTab
164,052 users
164,052 users
Tab Session Manager
Tab Session Manager
Tab Session Manager
154,191 users
154,191 users
Social media extensions
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See more social media staff picks
Return YouTube Dislike
Return YouTube Dislike
Return YouTube Dislike
930,239 users
930,239 users
BetterTTV
BetterTTV
BetterTTV
490,042 users
490,042 users
YouTube Search Fixer
YouTube Search Fixer
YouTube Search Fixer
34,022 users
34,022 users
Control Panel for Twitter
Control Panel for Twitter
Control Panel for Twitter
48,333 users
48,333 users
Recommended themes
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Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
165 users
165 users
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
6,467 users
6,467 users
teal glitter (animated)
teal glitter (animated)
teal glitter (animated)
298 users
298 users
Accessibility extensions
See more accessibility staff picks
See more accessibility staff picks
Dark Reader
Dark Reader
Dark Reader
1,311,453 users
1,311,453 users
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
217,606 users
217,606 users
Dark Mode
Dark Mode
Dark Mode
49,163 users
49,163 users
Sidebery
Sidebery
Sidebery
57,342 users
57,342 users
“security” tagged extensions
See more extensions tagged "security"
See more extensions tagged "security"
uBlock Origin
uBlock Origin
uBlock Origin
10,603,109 users
10,603,109 users
AdGuard AdBlocker
AdGuard AdBlocker
AdGuard AdBlocker
1,670,177 users
1,670,177 users
Bitwarden Password Manager
Bitwarden Password Manager
Bitwarden Password Manager
965,377 users
965,377 users
Decentraleyes
Decentraleyes...
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users","depth":12,"bounds":{"left":0.70069444,"top":0.55444443,"width":0.06527778,"height":0.02},"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Decentraleyes","depth":11,"bounds":{"left":0.91875,"top":0.5133333,"width":0.08125001,"height":0.02111111},"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXLink","text":"Decentraleyes","depth":12,"bounds":{"left":0.91875,"top":0.5133333,"width":0.07569444,"height":0.02111111},"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
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2850462406182850057
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3889514123216424062
|
click
|
accessibility
|
NULL
|
DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
Edit profile
Edit profile
Close tab
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
RECOMMENDED
Emoji
Emoji
Take emojis with you everywhere on the web.
Get the extension
Get the extension
Extensions are like apps for Firefox.
Extensions are like apps for Firefox.
They add features to Firefox to make browsing faster, safer, or just plain fun.
See all extensions
See all extensions
Extension Starter Pack
See staff picks
See staff picks
Productivity extensions
See staff picks
See staff picks
Privacy & Security
See staff picks
See staff picks
Recommended extensions
See more recommended extensions
See more recommended extensions
SingleFile
SingleFile
SingleFile
82,401 users
82,401 users
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
1,159,712 users
1,159,712 users
Disconnect
Disconnect
Disconnect
66,417 users
66,417 users
Chrome Mask
Chrome Mask
Chrome Mask
Rated 4.5 out of 5
Trending themes
See more trending themes
See more trending themes
Meteor Dragon
Meteor Dragon
Meteor Dragon
324 users
324 users
Double Phantasy
Double Phantasy
Double Phantasy
1,369 users
1,369 users
Rosy Sky
Rosy Sky
Rosy Sky
2,542 users
2,542 users
Tab managers
See more tab management staff picks
See more tab management staff picks
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
78,796 users
78,796 users
Auto Tab Discard
Auto Tab Discard
Auto Tab Discard
84,546 users
84,546 users
OneTab
OneTab
OneTab
164,052 users
164,052 users
Tab Session Manager
Tab Session Manager
Tab Session Manager
154,191 users
154,191 users
Social media extensions
See more social media staff picks
See more social media staff picks
Return YouTube Dislike
Return YouTube Dislike
Return YouTube Dislike
930,239 users
930,239 users
BetterTTV
BetterTTV
BetterTTV
490,042 users
490,042 users
YouTube Search Fixer
YouTube Search Fixer
YouTube Search Fixer
34,022 users
34,022 users
Control Panel for Twitter
Control Panel for Twitter
Control Panel for Twitter
48,333 users
48,333 users
Recommended themes
See more recommended themes
See more recommended themes
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
165 users
165 users
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
6,467 users
6,467 users
teal glitter (animated)
teal glitter (animated)
teal glitter (animated)
298 users
298 users
Accessibility extensions
See more accessibility staff picks
See more accessibility staff picks
Dark Reader
Dark Reader
Dark Reader
1,311,453 users
1,311,453 users
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
217,606 users
217,606 users
Dark Mode
Dark Mode
Dark Mode
49,163 users
49,163 users
Sidebery
Sidebery
Sidebery
57,342 users
57,342 users
“security” tagged extensions
See more extensions tagged "security"
See more extensions tagged "security"
uBlock Origin
uBlock Origin
uBlock Origin
10,603,109 users
10,603,109 users
AdGuard AdBlocker
AdGuard AdBlocker
AdGuard AdBlocker
1,670,177 users
1,670,177 users
Bitwarden Password Manager
Bitwarden Password Manager
Bitwarden Password Manager
965,377 users
965,377 users
Decentraleyes
Decentraleyes...
|
1519
|
|
1521
|
33
|
43
|
2026-04-11T17:36:48.314852+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775929008314_m1.jpg...
|
Firefox
|
Add-ons for Firefox (en-US) — Personal
|
True
|
addons.mozilla.org/en-US/firefox/
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
RECOMMENDED
Emoji
Emoji
Take emojis with you everywhere on the web.
Get the extension
Get the extension
Extensions are like apps for Firefox.
Extensions are like apps for Firefox.
They add features to Firefox to make browsing faster, safer, or just plain fun.
See all extensions
See all extensions
Extension Starter Pack
See staff picks
See staff picks
Productivity extensions
See staff picks
See staff picks
Privacy & Security
See staff picks
See staff picks
Recommended extensions
See more recommended extensions
See more recommended extensions
SingleFile
SingleFile
SingleFile
82,401 users
82,401 users
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
1,159,712 users
1,159,712 users
Disconnect
Disconnect
Disconnect
66,417 users
66,417 users
Chrome Mask
Chrome Mask
Chrome Mask
50,236 users
50,236 users
Trending themes
See more trending themes
See more trending themes
Meteor Dragon
Meteor Dragon
Meteor Dragon
324 users
324 users
Double Phantasy
Double Phantasy
Double Phantasy
1,369 users
1,369 users
Rosy Sky
Rosy Sky
Rosy Sky
2,542 users
2,542 users
Tab managers
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See more tab management staff picks
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
78,796 users
78,796 users
Auto Tab Discard
Auto Tab Discard
Auto Tab Discard
84,546 users
84,546 users
OneTab
OneTab
OneTab
164,052 users
164,052 users
Tab Session Manager
Tab Session Manager
Tab Session Manager
154,191 users
154,191 users
Social media extensions
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See more social media staff picks
Return YouTube Dislike
Return YouTube Dislike
Return YouTube Dislike
930,239 users
930,239 users
BetterTTV
BetterTTV
BetterTTV
490,042 users
490,042 users
YouTube Search Fixer
YouTube Search Fixer
YouTube Search Fixer
34,022 users
34,022 users
Control Panel for Twitter
Control Panel for Twitter
Control Panel for Twitter
48,333 users
48,333 users
Recommended themes
See more recommended themes
See more recommended themes
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
165 users
165 users
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
6,467 users
6,467 users
teal glitter (animated)
teal glitter (animated)
teal glitter (animated)
298 users
298 users
Accessibility extensions
See more accessibility staff picks
See more accessibility staff picks
Dark Reader
Dark Reader
Dark Reader
1,311,453 users
1,311,453 users
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
217,606 users
217,606 users
Dark Mode
Dark Mode
Dark Mode
49,163 users
49,163 users
Sidebery
Sidebery
Sidebery
57,342 users
57,342 users
“security” tagged extensions
See more extensions tagged "security"
See more extensions tagged "security"
uBlock Origin
uBlock Origin
uBlock Origin
10,603,109 users
10,603,109 users
AdGuard AdBlocker
AdGuard AdBlocker
AdGuard AdBlocker
1,670,177 users
1,670,177 users
Bitwarden Password Manager
Bitwarden Password Manager
Bitwarden Password Manager
965,377 users
965,377 users
Decentraleyes
Decentraleyes
Decentraleyes
253,250 users
253,250 users
Change the way Firefox looks with themes.
Change the way Firefox looks with themes.
Abstract
Abstract
Nature
Nature
Film & TV
Film & TV
Scenery
Scenery
Music
Music
Seasonal
Seasonal
Go to Mozilla's homepage
Go to Mozilla's homepage
Add-ons
Add-ons
Add-ons
About
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Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Developer Policies
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Review Guide
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Browsers
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Mobile
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Products
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Browsers
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VPN
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Monitor
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Pocket
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Bluesky (@firefox.com)
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Instagram (Firefox)
Instagram (Firefox)
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YouTube (firefoxchannel)
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otherwise","depth":9,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"noted","depth":9,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"noted","depth":10,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", content on this site is licensed under the","depth":9,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Creative Commons Attribution Share-Alike License v3.0","depth":9,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Creative Commons Attribution Share-Alike License v3.0","depth":10,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or any later version.","depth":9,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Change language","depth":10,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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1247300013418283538
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3890635629640158430
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click
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accessibility
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NULL
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
RECOMMENDED
Emoji
Emoji
Take emojis with you everywhere on the web.
Get the extension
Get the extension
Extensions are like apps for Firefox.
Extensions are like apps for Firefox.
They add features to Firefox to make browsing faster, safer, or just plain fun.
See all extensions
See all extensions
Extension Starter Pack
See staff picks
See staff picks
Productivity extensions
See staff picks
See staff picks
Privacy & Security
See staff picks
See staff picks
Recommended extensions
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SingleFile
SingleFile
SingleFile
82,401 users
82,401 users
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
1,159,712 users
1,159,712 users
Disconnect
Disconnect
Disconnect
66,417 users
66,417 users
Chrome Mask
Chrome Mask
Chrome Mask
50,236 users
50,236 users
Trending themes
See more trending themes
See more trending themes
Meteor Dragon
Meteor Dragon
Meteor Dragon
324 users
324 users
Double Phantasy
Double Phantasy
Double Phantasy
1,369 users
1,369 users
Rosy Sky
Rosy Sky
Rosy Sky
2,542 users
2,542 users
Tab managers
See more tab management staff picks
See more tab management staff picks
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
78,796 users
78,796 users
Auto Tab Discard
Auto Tab Discard
Auto Tab Discard
84,546 users
84,546 users
OneTab
OneTab
OneTab
164,052 users
164,052 users
Tab Session Manager
Tab Session Manager
Tab Session Manager
154,191 users
154,191 users
Social media extensions
See more social media staff picks
See more social media staff picks
Return YouTube Dislike
Return YouTube Dislike
Return YouTube Dislike
930,239 users
930,239 users
BetterTTV
BetterTTV
BetterTTV
490,042 users
490,042 users
YouTube Search Fixer
YouTube Search Fixer
YouTube Search Fixer
34,022 users
34,022 users
Control Panel for Twitter
Control Panel for Twitter
Control Panel for Twitter
48,333 users
48,333 users
Recommended themes
See more recommended themes
See more recommended themes
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
165 users
165 users
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
6,467 users
6,467 users
teal glitter (animated)
teal glitter (animated)
teal glitter (animated)
298 users
298 users
Accessibility extensions
See more accessibility staff picks
See more accessibility staff picks
Dark Reader
Dark Reader
Dark Reader
1,311,453 users
1,311,453 users
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
217,606 users
217,606 users
Dark Mode
Dark Mode
Dark Mode
49,163 users
49,163 users
Sidebery
Sidebery
Sidebery
57,342 users
57,342 users
“security” tagged extensions
See more extensions tagged "security"
See more extensions tagged "security"
uBlock Origin
uBlock Origin
uBlock Origin
10,603,109 users
10,603,109 users
AdGuard AdBlocker
AdGuard AdBlocker
AdGuard AdBlocker
1,670,177 users
1,670,177 users
Bitwarden Password Manager
Bitwarden Password Manager
Bitwarden Password Manager
965,377 users
965,377 users
Decentraleyes
Decentraleyes
Decentraleyes
253,250 users
253,250 users
Change the way Firefox looks with themes.
Change the way Firefox looks with themes.
Abstract
Abstract
Nature
Nature
Film & TV
Film & TV
Scenery
Scenery
Music
Music
Seasonal
Seasonal
Go to Mozilla's homepage
Go to Mozilla's homepage
Add-ons
Add-ons
Add-ons
About
About
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Developer Policies
Developer Policies
Community Blog
Community Blog
Forum
Forum
Report a bug
Report a bug
Review Guide
Review Guide
Browsers
Browsers
Desktop
Desktop
Mobile
Mobile
Enterprise
Enterprise
Products
Products
Browsers
Browsers
VPN
VPN
Relay
Relay
Monitor
Monitor
Pocket
Pocket
Bluesky (@firefox.com)
Bluesky (@firefox.com)
Instagram (Firefox)
Instagram (Firefox)
YouTube (firefoxchannel)
YouTube (firefoxchannel)
Privacy
Privacy
Cookies
Cookies
Legal
Legal
Except where otherwise
noted
noted
, content on this site is licensed under the
Creative Commons Attribution Share-Alike License v3.0
Creative Commons Attribution Share-Alike License v3.0
or any later version.
Change language...
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NULL
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1523
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33
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45
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2026-04-11T17:36:50.593101+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775929010593_m1.jpg...
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Firefox
|
Add-ons for Firefox (en-US) — Personal
|
True
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addons.mozilla.org/en-US/firefox/
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monitor_1
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NULL
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NULL
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NULL
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NULL
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
RECOMMENDED
Emoji
Emoji
Take emojis with you everywhere on the web.
Get the extension
Get the extension
Extensions are like apps for Firefox.
Extensions are like apps for Firefox.
They add features to Firefox to make browsing faster, safer, or just plain fun.
See all extensions
See all extensions
Extension Starter Pack
See staff picks
See staff picks
Productivity extensions
See staff picks
See staff picks
Privacy & Security
See staff picks
See staff picks
Recommended extensions
See more recommended extensions
See more recommended extensions
SingleFile
SingleFile
SingleFile
82,401 users
82,401 users
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
1,159,712 users
1,159,712 users
Disconnect
Disconnect
Disconnect
66,417 users
66,417 users
Chrome Mask
Chrome Mask
Chrome Mask
50,236 users
50,236 users
Trending themes
See more trending themes
See more trending themes
Meteor Dragon
Meteor Dragon
Meteor Dragon
324 users
324 users
Double Phantasy
Double Phantasy
Double Phantasy
1,369 users
1,369 users
Rosy Sky
Rosy Sky
Rosy Sky
2,542 users
2,542 users
Tab managers
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See more tab management staff picks
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
78,796 users
78,796 users
Auto Tab Discard
Auto Tab Discard
Auto Tab Discard
84,546 users
84,546 users
OneTab
OneTab
OneTab
164,052 users
164,052 users
Tab Session Manager
Tab Session Manager
Tab Session Manager
154,191 users
154,191 users
Social media extensions
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See more social media staff picks
Return YouTube Dislike
Return YouTube Dislike
Return YouTube Dislike
930,239 users
930,239 users
BetterTTV
BetterTTV
BetterTTV
490,042 users
490,042 users
YouTube Search Fixer
YouTube Search Fixer
YouTube Search Fixer
34,022 users
34,022 users
Control Panel for Twitter
Control Panel for Twitter
Control Panel for Twitter
48,333 users
48,333 users
Recommended themes
See more recommended themes
See more recommended themes
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
165 users
165 users
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
6,467 users
6,467 users
teal glitter (animated)
teal glitter (animated)
teal glitter (animated)
298 users
298 users
Accessibility extensions
See more accessibility staff picks
See more accessibility staff picks
Dark Reader
Dark Reader
Dark Reader
1,311,453 users
1,311,453 users
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
217,606 users
217,606 users
Dark Mode
Dark Mode
Dark Mode
49,163 users
49,163 users
Sidebery
Sidebery
Sidebery
57,342 users
57,342 users
“security” tagged extensions
See more extensions tagged "security"
See more extensions tagged "security"
uBlock Origin
uBlock Origin
uBlock Origin
10,603,109 users
10,603,109 users
AdGuard AdBlocker
AdGuard AdBlocker
AdGuard AdBlocker
1,670,177 users
1,670,177 users
Bitwarden Password Manager
Bitwarden Password Manager
Bitwarden Password Manager
965,377 users
965,377 users
Decentraleyes
Decentraleyes
Decentraleyes
253,250 users
253,250 users
Change the way Firefox looks with themes.
Change the way Firefox looks with themes.
Abstract
Abstract
Nature
Nature
Film & TV
Film & TV
Scenery
Scenery
Music
Music
Seasonal
Seasonal
Go to Mozilla's homepage
Go to Mozilla's homepage
Add-ons
Add-ons
Add-ons
About
About
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Developer Policies
Developer Policies
Community Blog
Community Blog
Forum
Forum
Report a bug
Report a bug
Review Guide
Review Guide
Browsers
Browsers
Desktop
Desktop
Mobile
Mobile
Enterprise
Enterprise
Products
Products
Browsers
Browsers
VPN
VPN
Relay
Relay
Monitor
Monitor
Pocket
Pocket
Bluesky (@firefox.com)
Bluesky (@firefox.com)
Instagram (Firefox)
Instagram (Firefox)
YouTube (firefoxchannel)
YouTube (firefoxchannel)
Privacy
Privacy
Cookies
Cookies
Legal
Legal
Except where otherwise
noted
noted
, content on this site is licensed under the
Creative Commons Attribution Share-Alike License v3.0
Creative Commons Attribution Share-Alike License v3.0
or any later version.
Change language...
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
RECOMMENDED
Emoji
Emoji
Take emojis with you everywhere on the web.
Get the extension
Get the extension
Extensions are like apps for Firefox.
Extensions are like apps for Firefox.
They add features to Firefox to make browsing faster, safer, or just plain fun.
See all extensions
See all extensions
Extension Starter Pack
See staff picks
See staff picks
Productivity extensions
See staff picks
See staff picks
Privacy & Security
See staff picks
See staff picks
Recommended extensions
See more recommended extensions
See more recommended extensions
SingleFile
SingleFile
SingleFile
82,401 users
82,401 users
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
1,159,712 users
1,159,712 users
Disconnect
Disconnect
Disconnect
66,417 users
66,417 users
Chrome Mask
Chrome Mask
Chrome Mask
50,236 users
50,236 users
Trending themes
See more trending themes
See more trending themes
Meteor Dragon
Meteor Dragon
Meteor Dragon
324 users
324 users
Double Phantasy
Double Phantasy
Double Phantasy
1,369 users
1,369 users
Rosy Sky
Rosy Sky
Rosy Sky
2,542 users
2,542 users
Tab managers
See more tab management staff picks
See more tab management staff picks
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
78,796 users
78,796 users
Auto Tab Discard
Auto Tab Discard
Auto Tab Discard
84,546 users
84,546 users
OneTab
OneTab
OneTab
164,052 users
164,052 users
Tab Session Manager
Tab Session Manager
Tab Session Manager
154,191 users
154,191 users
Social media extensions
See more social media staff picks
See more social media staff picks
Return YouTube Dislike
Return YouTube Dislike
Return YouTube Dislike
930,239 users
930,239 users
BetterTTV
BetterTTV
BetterTTV
490,042 users
490,042 users
YouTube Search Fixer
YouTube Search Fixer
YouTube Search Fixer
34,022 users
34,022 users
Control Panel for Twitter
Control Panel for Twitter
Control Panel for Twitter
48,333 users
48,333 users
Recommended themes
See more recommended themes
See more recommended themes
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
165 users
165 users
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
6,467 users
6,467 users
teal glitter (animated)
teal glitter (animated)
teal glitter (animated)
298 users
298 users
Accessibility extensions
See more accessibility staff picks
See more accessibility staff picks
Dark Reader
Dark Reader
Dark Reader
1,311,453 users
1,311,453 users
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
217,606 users
217,606 users
Dark Mode
Dark Mode
Dark Mode
49,163 users
49,163 users
Sidebery
Sidebery
Sidebery
57,342 users
57,342 users
“security” tagged extensions
See more extensions tagged "security"
See more extensions tagged "security"
uBlock Origin
uBlock Origin
uBlock Origin
10,603,109 users
10,603,109 users
AdGuard AdBlocker
AdGuard AdBlocker
AdGuard AdBlocker
1,670,177 users
1,670,177 users
Bitwarden Password Manager
Bitwarden Password Manager
Bitwarden Password Manager
965,377 users
965,377 users
Decentraleyes
Decentraleyes
Decentraleyes
253,250 users
253,250 users
Change the way Firefox looks with themes.
Change the way Firefox looks with themes.
Abstract
Abstract
Nature
Nature
Film & TV
Film & TV
Scenery
Scenery
Music
Music
Seasonal
Seasonal
Go to Mozilla's homepage
Go to Mozilla's homepage
Add-ons
Add-ons
Add-ons
About
About
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Developer Policies
Developer Policies
Community Blog
Community Blog
Forum
Forum
Report a bug
Report a bug
Review Guide
Review Guide
Browsers
Browsers
Desktop
Desktop
Mobile
Mobile
Enterprise
Enterprise
Products
Products
Browsers
Browsers
VPN
VPN
Relay
Relay
Monitor
Monitor
Pocket
Pocket
Bluesky (@firefox.com)
Bluesky (@firefox.com)
Instagram (Firefox)
Instagram (Firefox)
YouTube (firefoxchannel)
YouTube (firefoxchannel)
Privacy
Privacy
Cookies
Cookies
Legal
Legal
Except where otherwise
noted
noted
, content on this site is licensed under the
Creative Commons Attribution Share-Alike License v3.0
Creative Commons Attribution Share-Alike License v3.0
or any later version.
Change language...
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NULL
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|
1525
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33
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47
|
2026-04-11T17:36:58.969828+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775929018969_m1.jpg...
|
Firefox
|
Add-ons for Firefox (en-US) — Personal
|
True
|
addons.mozilla.org/en-US/firefox/
|
monitor_1
|
NULL
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NULL
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NULL
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NULL
|
DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Firefox Browser Add-ons
Firefox Browser Add-ons
Firefox Browser Add-ons
Extensions
Extensions
Themes
Themes
More…
More…
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Log in
Log in
Search
Search
Search
Search
Search
RECOMMENDED
Emoji
Emoji
Take emojis with you everywhere on the web.
Get the extension
Get the extension
Extensions are like apps for Firefox.
Extensions are like apps for Firefox.
They add features to Firefox to make browsing faster, safer, or just plain fun.
See all extensions
See all extensions
Extension Starter Pack
See staff picks
See staff picks
Productivity extensions
See staff picks
See staff picks
Privacy & Security
See staff picks
See staff picks
Recommended extensions
See more recommended extensions
See more recommended extensions
SingleFile
SingleFile
SingleFile
82,401 users
82,401 users
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
DuckDuckGo Search & Tracker Protection
1,159,712 users
1,159,712 users
Disconnect
Disconnect
Disconnect
66,417 users
66,417 users
Chrome Mask
Chrome Mask
Chrome Mask
50,236 users
50,236 users
Trending themes
See more trending themes
See more trending themes
Meteor Dragon
Meteor Dragon
Meteor Dragon
324 users
324 users
Double Phantasy
Double Phantasy
Double Phantasy
1,369 users
1,369 users
Rosy Sky
Rosy Sky
Rosy Sky
2,542 users
2,542 users
Tab managers
See more tab management staff picks
See more tab management staff picks
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
Tab Reloader (page auto refresh)
78,796 users
78,796 users
Auto Tab Discard
Auto Tab Discard
Auto Tab Discard
84,546 users
84,546 users
OneTab
OneTab
OneTab
164,052 users
164,052 users
Tab Session Manager
Tab Session Manager
Tab Session Manager
154,191 users
154,191 users
Social media extensions
See more social media staff picks
See more social media staff picks
Return YouTube Dislike
Return YouTube Dislike
Return YouTube Dislike
930,239 users
930,239 users
BetterTTV
BetterTTV
BetterTTV
490,042 users
490,042 users
YouTube Search Fixer
YouTube Search Fixer
YouTube Search Fixer
34,022 users
34,022 users
Control Panel for Twitter
Control Panel for Twitter
Control Panel for Twitter
48,333 users
48,333 users
Recommended themes
See more recommended themes
See more recommended themes
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
Pink Spring Flowers Goddess
165 users
165 users
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
Keqing (Card) - Genshin Impact
6,467 users
6,467 users
teal glitter (animated)
teal glitter (animated)
teal glitter (animated)
298 users
298 users
Accessibility extensions
See more accessibility staff picks
See more accessibility staff picks
Dark Reader
Dark Reader
Dark Reader
1,311,453 users
1,311,453 users
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
Read Aloud: A Text to Speech Voice Reader
217,606 users
217,606 users
Dark Mode
Dark Mode
Dark Mode
49,163 users
49,163 users
Sidebery
Sidebery
Sidebery
57,342 users
57,342 users
“security” tagged extensions
See more extensions tagged "security"
See more extensions tagged "security"
uBlock Origin
uBlock Origin
uBlock Origin
10,603,109 users
10,603,109 users
AdGuard AdBlocker
AdGuard AdBlocker
AdGuard AdBlocker
1,670,177 users
1,670,177 users
Bitwarden Password Manager
Bitwarden Password Manager
Bitwarden Password Manager
965,377 users
965,377 users
Decentraleyes
Decentraleyes
Decentraleyes
253,250 users
253,250 users
Change the way Firefox looks with themes.
Change the way Firefox looks with themes.
Abstract
Abstract
Nature
Nature
Film & TV
Film & TV
Scenery
Scenery
Music
Music
Seasonal
Seasonal
Go to Mozilla's homepage
Go to Mozilla's homepage
Add-ons
Add-ons
Add-ons
About
About
Firefox Add-ons Blog
Firefox Add-ons Blog
Extension Workshop
Extension Workshop
Developer Hub
Developer Hub
Developer Policies
Developer Policies
Community Blog
Community Blog
Forum
Forum
Report a bug
Report a bug
Review Guide
Review Guide
Browsers
Browsers
Desktop
Desktop
Mobile
Mobile
Enterprise
Enterprise
Products
Products
Browsers
Browsers
VPN
VPN
Relay
Relay
Monitor
Monitor
Pocket
Pocket
Bluesky (@firefox.com)
Bluesky (@firefox.com)
Instagram (Firefox)
Instagram (Firefox)
YouTube (firefoxchannel)
YouTube (firefoxchannel)
Privacy
Privacy
Cookies
Cookies
Legal
Legal
Except where otherwise
noted
noted
, content on this site is licensed under the
Creative Commons Attribution Share-Alike License v3.0
Creative Commons Attribution Share-Alike License v3.0
or any later version.
Change language...
|
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
Close tab
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
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Open history (⇧⌘H)
Open bookmarks (⌘B)
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More…
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Emoji
Emoji
Take emojis with you everywhere on the web.
Get the extension
Get the extension
Extensions are like apps for Firefox.
Extensions are like apps for Firefox.
They add features to Firefox to make browsing faster, safer, or just plain fun.
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Tab managers
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YouTube Search Fixer
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34,022 users
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Control Panel for Twitter
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48,333 users
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Pink Spring Flowers Goddess
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teal glitter (animated)
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Change the way Firefox looks with themes.
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Abstract
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Nature
Nature
Film & TV
Film & TV
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Scenery
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Music
Seasonal
Seasonal
Go to Mozilla's homepage
Go to Mozilla's homepage
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Add-ons
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About
About
Firefox Add-ons Blog
Firefox Add-ons Blog
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Extension Workshop
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Developer Hub
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Developer Policies
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Report a bug
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Review Guide
Browsers
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Desktop
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Mobile
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Enterprise
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VPN
Relay
Relay
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Monitor
Pocket
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Bluesky (@firefox.com)
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Instagram (Firefox)
Instagram (Firefox)
YouTube (firefoxchannel)
YouTube (firefoxchannel)
Privacy
Privacy
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Cookies
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Legal
Except where otherwise
noted
noted
, content on this site is licensed under the
Creative Commons Attribution Share-Alike License v3.0
Creative Commons Attribution Share-Alike License v3.0
or any later version.
Change language...
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1527
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49
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2026-04-11T17:37:09.601863+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775929029601_m1.jpg...
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Firefox
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Settings — Personal
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True
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monitor_1
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NULL
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NULL
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NULL
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
Close tab
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
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Screenpipe Dashboard
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Add-ons for Firefox (en-US)
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Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
General
Home
Search
Privacy & Security
Sync
AI Controls
Firefox Labs
More from Mozilla
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Extensions & Themes
Firefox Support
Firefox Support
Your browser is being managed by your organization.
Your browser is being managed by your organization.
Find in Settings
AI Controls
AI Controls
You always have a choice in Firefox, including whether to use features enhanced with AI. More controls coming soon.
Learn more
Learn more
Block AI enhancements
Block AI enhancements
Blocking means you won’t see new or current AI enhancements in Firefox, or pop-ups about them.
Get more details
Get more details
about what’s included and how to control traditional machine learning features, like search suggestions and recommendations.
Block AI enhancements
On-device AI
On-device AI
These use small AI models that download to your device if you use the feature. This approach helps protect your privacy.
Learn more
Learn more
Translations
Seamlessly browse the web in your preferred language.
More translations settings
More translations settings
Image alt text in Firefox PDF viewer
When you add images to PDFs, this adds descriptions to make them accessible.
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Tab group suggestions
Get suggestions to name and organize your tabs.
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Key points in link previews
See a quick summary before opening a link.
Learn more
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AI chatbot providers in sidebar
AI chatbot providers in sidebar
Keep a chatbot in view as you browse. Choose from Anthropic Claude, ChatGPT, Copilot, Google Gemini, and Le Chat Mistral.
Learn more
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Chatbot in sidebar
What the options mean:
Available:
You’ll see the feature and can use it.
Enabled:
You’ve opted in to use the feature.
Blocked:
You won’t see and can’t use the feature. For on-device AI, any models already downloaded are removed....
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How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
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Vimium – Get this Extension for 🦊 Firefox (en-US)
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Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
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Screenpipe Dashboard
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Add-ons for Firefox (en-US)
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Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
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Extensions – Add-ons for Firefox (en-US)
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More from Mozilla
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Your browser is being managed by your organization.
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Find in Settings
AI Controls
AI Controls
You always have a choice in Firefox, including whether to use features enhanced with AI. More controls coming soon.
Learn more
Learn more
Block AI enhancements
Block AI enhancements
Blocking means you won’t see new or current AI enhancements in Firefox, or pop-ups about them.
Get more details
Get more details
about what’s included and how to control traditional machine learning features, like search suggestions and recommendations.
Block AI enhancements
On-device AI
On-device AI
These use small AI models that download to your device if you use the feature. This approach helps protect your privacy.
Learn more
Learn more
Translations
Seamlessly browse the web in your preferred language.
More translations settings
More translations settings
Image alt text in Firefox PDF viewer
When you add images to PDFs, this adds descriptions to make them accessible.
Learn more
Learn more
Tab group suggestions
Get suggestions to name and organize your tabs.
Learn more
Learn more
Key points in link previews
See a quick summary before opening a link.
Learn more
Learn more
AI chatbot providers in sidebar
AI chatbot providers in sidebar
Keep a chatbot in view as you browse. Choose from Anthropic Claude, ChatGPT, Copilot, Google Gemini, and Le Chat Mistral.
Learn more
Learn more
Chatbot in sidebar
What the options mean:
Available:
You’ll see the feature and can use it.
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You’ve opted in to use the feature.
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You won’t see and can’t use the feature. For on-device AI, any models already downloaded are removed....
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
Close tab
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
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Irán – Denník N
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Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
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Add-ons for Firefox (en-US)
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New Tab
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Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
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Tabs from other devices
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Search
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Sync
AI Controls
Firefox Labs
More from Mozilla
Extensions & Themes
Extensions & Themes
Firefox Support
Firefox Support
Your browser is being managed by your organization.
Your browser is being managed by your organization.
Find in Settings
AI Controls
AI Controls
You always have a choice in Firefox, including whether to use features enhanced with AI. More controls coming soon.
Learn more
Learn more
Block AI enhancements
Block AI enhancements
Blocking means you won’t see new or current AI enhancements in Firefox, or pop-ups about them.
Get more details
Get more details
about what’s included and how to control traditional machine learning features, like search suggestions and recommendations.
Block AI enhancements
On-device AI
On-device AI
These use small AI models that download to your device if you use the feature. This approach helps protect your privacy.
Learn more
Learn more
Translations
Seamlessly browse the web in your preferred language.
More translations settings
More translations settings
Image alt text in Firefox PDF viewer
When you add images to PDFs, this adds descriptions to make them accessible.
Learn more
Learn more
Tab group suggestions
Get suggestions to name and organize your tabs.
Learn more
Learn more
Key points in link previews
See a quick summary before opening a link.
Learn more
Learn more
AI chatbot providers in sidebar
AI chatbot providers in sidebar
Keep a chatbot in view as you browse. Choose from Anthropic Claude, ChatGPT, Copilot, Google Gemini, and Le Chat Mistral.
Learn more
Learn more
Chatbot in sidebar
What the options mean:
Available:
You’ll see the feature and can use it.
Enabled:
You’ve opted in to use the feature.
Blocked:
You won’t see and can’t use the feature. For on-device AI, any models already downloaded are removed....
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
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Inbox - [EMAIL] - Gmail
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Shameless • HBO Max
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Settings
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firefox sidebar - Google Search
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How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
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Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
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Screenpipe Dashboard
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Add-ons for Firefox (en-US)
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Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
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Extensions – Add-ons for Firefox (en-US)
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Firefox Support
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Your browser is being managed by your organization.
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Find in Settings
AI Controls
AI Controls
You always have a choice in Firefox, including whether to use features enhanced with AI. More controls coming soon.
Learn more
Learn more
Block AI enhancements
Block AI enhancements
Blocking means you won’t see new or current AI enhancements in Firefox, or pop-ups about them.
Get more details
Get more details
about what’s included and how to control traditional machine learning features, like search suggestions and recommendations.
Block AI enhancements
On-device AI
On-device AI
These use small AI models that download to your device if you use the feature. This approach helps protect your privacy.
Learn more
Learn more
Translations
Seamlessly browse the web in your preferred language.
More translations settings
More translations settings
Image alt text in Firefox PDF viewer
When you add images to PDFs, this adds descriptions to make them accessible.
Learn more
Learn more
Tab group suggestions
Get suggestions to name and organize your tabs.
Learn more
Learn more
Key points in link previews
See a quick summary before opening a link.
Learn more
Learn more
AI chatbot providers in sidebar
AI chatbot providers in sidebar
Keep a chatbot in view as you browse. Choose from Anthropic Claude, ChatGPT, Copilot, Google Gemini, and Le Chat Mistral.
Learn more
Learn more
Chatbot in sidebar
What the options mean:
Available:
You’ll see the feature and can use it.
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You’ve opted in to use the feature.
Blocked:
You won’t see and can’t use the feature. For on-device AI, any models already downloaded are removed....
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
Close tab
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
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Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
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Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
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Add-ons for Firefox (en-US)
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New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
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New Tab
Customize sidebar
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Search
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Sync
AI Controls
Firefox Labs
More from Mozilla
Extensions & Themes
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Firefox Support
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Your browser is being managed by your organization.
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Find in Settings
AI Controls
AI Controls
You always have a choice in Firefox, including whether to use features enhanced with AI. More controls coming soon.
Learn more
Learn more
Block AI enhancements
Block AI enhancements
Blocking means you won’t see new or current AI enhancements in Firefox, or pop-ups about them.
Get more details
Get more details
about what’s included and how to control traditional machine learning features, like search suggestions and recommendations.
Block AI enhancements
On-device AI
On-device AI
These use small AI models that download to your device if you use the feature. This approach helps protect your privacy.
Learn more
Learn more
Translations
Seamlessly browse the web in your preferred language.
More translations settings
More translations settings
Image alt text in Firefox PDF viewer
When you add images to PDFs, this adds descriptions to make them accessible.
Learn more
Learn more
Tab group suggestions
Get suggestions to name and organize your tabs.
Learn more
Learn more
Key points in link previews
See a quick summary before opening a link.
Learn more
Learn more
AI chatbot providers in sidebar
AI chatbot providers in sidebar
Keep a chatbot in view as you browse. Choose from Anthropic Claude, ChatGPT, Copilot, Google Gemini, and Le Chat Mistral.
Learn more
Learn more
Chatbot in sidebar
What the options mean:
Available:
You’ll see the feature and can use it.
Enabled:
You’ve opted in to use the feature.
Blocked:
You won’t see and can’t use the feature. For on-device AI, any models already downloaded are removed....
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Get more details
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about what’s included and how to control traditional machine learning features, like search suggestions and recommendations.
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On-device AI
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These use small AI models that download to your device if you use the feature. This approach helps protect your privacy.
Learn more
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Seamlessly browse the web in your preferred language.
More translations settings
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Learn more
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Keep a chatbot in view as you browse. Choose from Anthropic Claude, ChatGPT, Copilot, Google Gemini, and Le Chat Mistral.
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Get more details
Get more details
about what’s included and how to control traditional machine learning features, like search suggestions and recommendations.
Block AI enhancements
On-device AI
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These use small AI models that download to your device if you use the feature. This approach helps protect your privacy.
Learn more
Learn more
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Seamlessly browse the web in your preferred language.
More translations settings
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Image alt text in Firefox PDF viewer
When you add images to PDFs, this adds descriptions to make them accessible.
Learn more
Learn more
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Get suggestions to name and organize your tabs.
Learn more
Learn more
Key points in link previews
See a quick summary before opening a link.
Learn more
Learn more
AI chatbot providers in sidebar
AI chatbot providers in sidebar
Keep a chatbot in view as you browse. Choose from Anthropic Claude, ChatGPT, Copilot, Google Gemini, and Le Chat Mistral.
Learn more
Learn more
Chatbot in sidebar
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Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
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firefox sidebar - Google Search
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How to use AI-enhanced tab groups | Firefox Help
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Browser Extension Getting Started | Bitwarden
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Your browser is being managed by your organization.
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Find in Settings
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You always have a choice in Firefox, including whether to use features enhanced with AI. More controls coming soon.
Learn more
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Block AI enhancements
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Blocking means you won’t see new or current AI enhancements in Firefox, or pop-ups about them.
Get more details
Get more details
about what’s included and how to control traditional machine learning features, like search suggestions and recommendations.
Block AI enhancements
On-device AI
On-device AI
These use small AI models that download to your device if you use the feature. This approach helps protect your privacy.
Learn more
Learn more
Translations
Seamlessly browse the web in your preferred language.
More translations settings
More translations settings
Image alt text in Firefox PDF viewer
When you add images to PDFs, this adds descriptions to make them accessible.
Learn more
Learn more
Tab group suggestions
Get suggestions to name and organize your tabs.
Learn more
Learn more
Key points in link previews
See a quick summary before opening a link.
Learn more
Learn more
AI chatbot providers in sidebar
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Keep a chatbot in view as you browse. Choose from Anthropic Claude, ChatGPT, Copilot, Google Gemini, and Le Chat Mistral.
Learn more
Learn more
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Available:
You’ll see the feature and can use it.
Enabled:
You’ve opted in to use the feature.
Blocked:
You won’t see and can’t use the feature. For on-device AI, any models already downloaded are removed....
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Learn more
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Get more details
Get more details
about what’s included and how to control traditional machine learning features, like search suggestions and recommendations.
Block AI enhancements
On-device AI
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These use small AI models that download to your device if you use the feature. This approach helps protect your privacy.
Learn more
Learn more
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Seamlessly browse the web in your preferred language.
More translations settings
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Image alt text in Firefox PDF viewer
When you add images to PDFs, this adds descriptions to make them accessible.
Learn more
Learn more
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Get suggestions to name and organize your tabs.
Learn more
Learn more
Key points in link previews
See a quick summary before opening a link.
Learn more
Learn more
AI chatbot providers in sidebar
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Keep a chatbot in view as you browse. Choose from Anthropic Claude, ChatGPT, Copilot, Google Gemini, and Le Chat Mistral.
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Learn more
Chatbot in sidebar
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You’ll see the feature and can use it.
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Inbox - [EMAIL] - Gmail
Shameless • HBO Max
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Close tab
firefox sidebar - Google Search
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How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
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Vimium – Get this Extension for 🦊 Firefox (en-US)
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Browser Extension Getting Started | Bitwarden
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Your browser is being managed by your organization.
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Find in Settings
AI Controls
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You always have a choice in Firefox, including whether to use features enhanced with AI. More controls coming soon.
Learn more
Learn more
Block AI enhancements
Block AI enhancements
Blocking means you won’t see new or current AI enhancements in Firefox, or pop-ups about them.
Get more details
Get more details
about what’s included and how to control traditional machine learning features, like search suggestions and recommendations.
Block AI enhancements
On-device AI
On-device AI
These use small AI models that download to your device if you use the feature. This approach helps protect your privacy.
Learn more
Learn more
Translations
Seamlessly browse the web in your preferred language.
More translations settings
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Image alt text in Firefox PDF viewer
When you add images to PDFs, this adds descriptions to make them accessible.
Learn more
Learn more
Tab group suggestions
Get suggestions to name and organize your tabs.
Learn more
Learn more
Key points in link previews
See a quick summary before opening a link.
Learn more
Learn more
AI chatbot providers in sidebar
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Keep a chatbot in view as you browse. Choose from Anthropic Claude, ChatGPT, Copilot, Google Gemini, and Le Chat Mistral.
Learn more
Learn more
Chatbot in sidebar
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Available:
You’ll see the feature and can use it.
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Blocked:
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Settings
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firefox sidebar - Google Search
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How to use AI-enhanced tab groups | Firefox Help
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New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
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Add them here to get started.
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Add manually
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Home
Search
Privacy & Security
Sync
AI Controls
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More from Mozilla
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Your browser is being managed by your organization.
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Find in Settings
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You always have a choice in Firefox, including whether to use features enhanced with AI. More controls coming soon.
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Get more details
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about what’s included and how to control traditional machine learning features, like search suggestions and recommendations.
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On-device AI
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Learn more
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Seamlessly browse the web in your preferred language.
More translations settings
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Image alt text in Firefox PDF viewer
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Learn more
Learn more
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Get suggestions to name and organize your tabs.
Learn more
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See a quick summary before opening a link.
Learn more
Learn more
AI chatbot providers in sidebar
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Keep a chatbot in view as you browse. Choose from Anthropic Claude, ChatGPT, Copilot, Google Gemini, and Le Chat Mistral.
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2026-04-11T17:37:51.071368+00:00
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
Close tab
firefox sidebar - Google Search
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How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
New Tab
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Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Passwords
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Close
Save your passwords to a safe spot
All passwords are encrypted and we’ll watch out for breaches and alerts if you’re affected.
Add them here to get started.
Import from another browser…
Import from another browser…
Import from a file…
Import from a file…
Add manually
Add manually
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Home
Search
Privacy & Security
Sync...
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button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"Passwords","depth":8,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Passwords","depth":9,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Close","depth":9,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Save your passwords to a safe spot","depth":14,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All passwords are encrypted and we’ll watch out for breaches and alerts if you’re affected.","depth":14,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Add them here to get started.","depth":14,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Import from another browser…","depth":14,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Import from another browser…","depth":16,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Import from a file…","depth":14,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Import from a file…","depth":16,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Add manually","depth":14,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Add manually","depth":16,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"General","depth":10,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Home","depth":10,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Search","depth":10,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Privacy & Security","depth":10,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Sync","depth":10,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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2223272697566490698
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-5411602371991122218
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click
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accessibility
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NULL
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DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameles DXP4800PLUS-B5F8
Inbox - [EMAIL] - Gmail
Shameless • HBO Max
Shameless • HBO Max
Settings
Settings
Close tab
firefox sidebar - Google Search
firefox sidebar - Google Search
How to use AI-enhanced tab groups | Firefox Help
How to use AI-enhanced tab groups | Firefox Help
Add-ons Manager
Add-ons Manager
Vimium – Get this Extension for 🦊 Firefox (en-US)
Vimium – Get this Extension for 🦊 Firefox (en-US)
Irán – Denník N
Irán – Denník N
Vimium Options
Vimium Options
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Loď Orion úspešne pristála na Zemi. Desať vecí, ktoré si pamätať o misii Artemis II — Denník N
Machines - Tailscale
Machines - Tailscale
Screenpipe Dashboard
Screenpipe Dashboard
Add-ons for Firefox (en-US)
Add-ons for Firefox (en-US)
New Tab
New Tab
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Bitwarden Password Manager – Get this Extension for 🦊 Firefox (en-US)
Browser Extension Getting Started | Bitwarden
Browser Extension Getting Started | Bitwarden
Extensions – Add-ons for Firefox (en-US)
Extensions – Add-ons for Firefox (en-US)
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
Passwords
Passwords
Passwords
Close
Save your passwords to a safe spot
All passwords are encrypted and we’ll watch out for breaches and alerts if you’re affected.
Add them here to get started.
Import from another browser…
Import from another browser…
Import from a file…
Import from a file…
Add manually
Add manually
General
Home
Search
Privacy & Security
Sync...
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1535
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