screenpipe
Long-term memory for teams and AI agents
Screenpipe is a local-first desktop application that captures screen content, app text, browser context, and audio to create a searchable record of computer activity. It solves the problem of lost context and fragmented work history by giving users and AI agents a unified timeline of what happened across meetings, documents, chats, and code editors, all stored on the local device by default.
The application captures screen activity through platform-native APIs with OCR fallback, transcribes audio locally using OpenAI Whisper, and stores everything in a local SQLite database. Key capabilities include AI-powered natural language search across the full history, a visual timeline view, an MCP server for connecting AI assistants like Claude Desktop and Cursor, a REST API and JavaScript SDK for developers, and a plugin system for scheduled tasks such as meeting notes or Obsidian syncing. It runs on macOS, Windows, and Linux with source-available code.
Screenpipe is designed for individual professionals, developers, and teams who want private, searchable work memory. The free tier offers single-device capture and recent search. Paid plans are seat-based: Basic for full personal history, Business for device sync and team management, and Enterprise for managed deployments. A 7-day onboarding trial requires a payment method and can be canceled before renewal.
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