Screenpipe
by Various
YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure
Apps
Screenpipe
Added 1 June 2026
Overview
Screenpipe is a local screen recording and audio capture tool that runs continuously on your machine, indexing everything displayed and spoken for AI-powered search and recall. Built in Rust, it processes all data locally without sending information to external servers, maintaining privacy while enabling context-aware AI features.
Best for
Best for
Developers building local-first AI assistants or productivity tools that need full activity context without cloud dependencies
Use cases
- Search through past conversations, screenshots, or audio to find specific information discussed hours or days ago
- Build AI assistants that understand your full work context by accessing local activity history
- Audit and analyze your own productivity patterns or compliance requirements without cloud storage
Notes
Screenpipe is a local screen recording and audio capture tool that runs continuously on your machine, indexing everything displayed and spoken for AI-powered search and recall. Built in Rust, it processes all data locally without sending information to external servers, maintaining privacy while enabling context-aware AI features.
19,049 stars on GitHub. Last updated 2026-06-01.
Use cases
- Search through past conversations, screenshots, or audio to find specific information discussed hours or days ago
- Build AI assistants that understand your full work context by accessing local activity history
- Audit and analyze your own productivity patterns or compliance requirements without cloud storage
Pros
- All processing happens locally, no data leaves your machine
- Continuous 24/7 capture enables comprehensive historical context for AI applications
- Open source with active community (19k+ GitHub stars)
Cons
- Requires significant local storage and CPU resources for continuous recording and indexing
- Privacy and legal implications vary by jurisdiction, particularly for multi-user systems
- Indexing and search performance depends entirely on your hardware capabilities
Indexed from awesome-generative-ai and enriched against its public facts.
Pros
- All processing happens locally, no data leaves your machine
- Continuous 24/7 capture enables comprehensive historical context for AI applications
- Open source with active community (19k+ GitHub stars)
Cons
- Requires significant local storage and CPU resources for continuous recording and indexing
- Privacy and legal implications vary by jurisdiction, particularly for multi-user systems
- Indexing and search performance depends entirely on your hardware capabilities
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