HKUDS / CatchMe
"CatchMe: Make Your AI Agents Truly Personal"
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Event-Driven Recording. No timer or delays - catch mouse actions with crosshair annotation instantly.
- Comprehensive Context. Five recorders track windows, keyboard, clipboard, notifications, and files around mouse actions.
- Auto-Organization. Raw streams structure into five tiers: Day → Session → App → Location → Action.
- Smart Summaries. LLM summaries at each level, transforming logs into searchable knowledge trees.
- No Vector Complexity. Skip embeddings and VDBs — our system uses tree-based reasoning for navigation.
Get started
git clone https://github.com/HKUDS/catchme.git && cd catchme
conda create -n catchme python=3.11 -y && conda activate catchme
pip install -e . - Maintenance
- Active
- Last commit 57 days ago
- Stars
- 521
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 51% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 67% closed
- 1 still open
- Pull requests
- 7 merged
- 18 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 51%
- JavaScript 38%
- CSS 11%
- HTML 1%
Topics
- ai-agent
- clawdbot-plugin
- llm
- recall-ai
- retrieval-systems
- screen-recorder
Project record
- JobOther AI tools
- StatusListed
- Commits27
- Forks83
- Watching4
- Stars in 28 days+8
- CreatedMar 30, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026