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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

#agents #agi #ai #audio-recording #computer-vision #llm #local-ai #local-first

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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