mediar-ai/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
MCP
mediar-ai/screenpipe
Added 1 June 2026
Overview
Screenpipe is a local recording agent written in Rust that captures screen, audio, and microphone input continuously on your machine. It stores all recordings locally for privacy and enables AI to search and act on what you've seen, said, or heard without sending data to external servers.
Best for
Best for
Developers building local-first AI agents that need rich context from user activity without cloud transmission.
Use cases
- Building AI assistants that understand user context from screen and audio history
- Creating productivity tools that search across everything you've done in a session
- Developing accessibility features that react to on-screen content and spoken input
Notes
Screenpipe is a local recording agent written in Rust that captures screen, audio, and microphone input continuously on your machine. It stores all recordings locally for privacy and enables AI to search and act on what you’ve seen, said, or heard without sending data to external servers.
19,049 stars on GitHub. Last updated 2026-06-01.
Use cases
- Building AI assistants that understand user context from screen and audio history
- Creating productivity tools that search across everything you’ve done in a session
- Developing accessibility features that react to on-screen content and spoken input
Pros
- Runs entirely local with no cloud dependency, keeping sensitive recordings private
- Captures multimodal input (screen, audio, microphone) in a single unified stream
- Open source with active community (19k+ stars) and Rust performance foundation
Cons
- Requires significant local storage and CPU resources for continuous 24/7 recording
- Privacy and legal compliance responsibility falls entirely on the builder deploying it
- Early-stage tool (YC S26) with evolving API and potential breaking changes
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Runs entirely local with no cloud dependency, keeping sensitive recordings private
- Captures multimodal input (screen, audio, microphone) in a single unified stream
- Open source with active community (19k+ stars) and Rust performance foundation
Cons
- Requires significant local storage and CPU resources for continuous 24/7 recording
- Privacy and legal compliance responsibility falls entirely on the builder deploying it
- Early-stage tool (YC S26) with evolving API and potential breaking changes
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