Screenpipe
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About Screenpipe
screenpipe is an open-source library that records your screen & mic 24/7 and connects it to LLMs. It's designed for gathering life context and easily connecting it to AI for search, automation, and more. It allows securely capturing, searching, and analyzing screen & audio activities across your organization in milliseconds.
How to Use
Install screenpipe, capture your computer screen and audio, and install AI agents to use the data. Discover plugins in the AI App Store for various functionalities like search, summarization, and automation.
Key Features
- 24/7 screen and audio recording
- Connection to LLMs for AI processing
- AI App Store for plugin discovery
- Secure data capture and analysis
- OCR and speech-to-text capabilities
- Context awareness for AI agents
Use Cases
- Gathering life context for AI search and automation
- Building AI agents with context awareness
- Securely analyzing screen and audio activities across an organization
- Creating a living knowledge base with AI
- Developing a meeting assistant that works without internet
FAQ
Where can I find plugins for screenpipe? Claude Code API (code0.ai) Stable domestic direct-connect proxy for Claude API with CNY payment and low latency.
Key Features
Pros & Cons
- Open source and local-first: complete data ownership and privacy
- Works offline with local AI models (Ollama) — no internet required for core functionality
- Event-driven capture reduces storage and processing overhead compared to continuous recording
- Privacy-focused: sensitive data can be excluded at source and scrubbed automatically
- Supports macOS, Windows, and Linux
- Integrates with 48+ popular apps and services via automated Pipes
- AI-powered search across all modalities (screen, audio, text) in one timeline
- Backed by Y Combinator and used by major companies, indicating reliability
- Requires technical knowledge for installation and configuration (set up, integrations, local AI)
- Resource usage may be significant: continuous screen capture and audio transcription can consume CPU/disk space
- Still in early stage (v0.4.x) — some features may be experimental or incomplete
- Desktop-only; no mobile app for capturing phone activity
- Relies on OS accessibility APIs which may not capture all apps perfectly; OCR fallback can be less accurate
- Privacy model requires user trust in local-first approach; optional cloud AI sync may raise concerns
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