Screenpipe
An open-source platform enabling 24/7 local recording of screen and audio activities for AI application development.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Screenpipe, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Screenpipe is an open-source platform designed to continuously capture screen and audio activities on user devices, storing data locally to ensure privacy. Built with Rust for reliability, it provides developers with APIs to build context-aware AI applications that utilize comprehensive desktop activity data. Screenpipe supports cross-platform functionality, operating on Windows, macOS, and Linux systems. It offers a plugin system, allowing developers to create and deploy Next.js applications directly to the desktop environment, enhancing productivity and enabling the development of AI assistants with full context awareness.
Key features
- open-source
- desktop recording
- context-aware AI
- workflow automation
- privacy-focused
Use cases
- Developing AI assistants that require comprehensive user context from desktop activities.
- Creating applications that transcribe and summarize meetings by capturing screen and audio data.
- Building tools to analyze and optimize user workflows through continuous activity monitoring.
- Implementing personalized AI models powered by locally stored user interaction data.
- Enhancing productivity by automating repetitive tasks based on captured desktop context.