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screenpipe
Context layer for AGI

What is screenpipe?

screenpipe is a cross-platform, open-source solution designed for developers. It continuously records screen activity, audio, UI elements, and interactions, storing the data locally in a SQLite database. This allows for the extraction of text and transcription of audio.

The tool offers two primary modes of operation: as a desktop application platform for deploying NextJS apps and as a backend library for integrating desktop context into existing applications. It supports embeddings, RAG pipelines, and local LLMs via Ollama, as well as OpenAI/Anthropic proxy.

Features

  • 24/7 Recording: Records screen, audio, UI elements, and interactions continuously.
  • Local Data Storage: Extracts text, transcribes audio, and stores data in a local SQLite database.
  • Embeddings & RAG: Supports embeddings, RAG pipelines, and local LLMs via Ollama.
  • OpenAI/Anthropic Proxy: Integration with OpenAI and Anthropic.
  • Dual Functionality: Operates as a desktop app platform and a backend library.
  • Cross-platform: Compatible with Windows, macOS, and Linux

Use Cases

  • Build AI assistants that understand user's desktop context.
  • Create search tools that index and query desktop activities.
  • Develop tools to analyze and optimize user workflows.
  • Applications requiring user activity tracking.

Blogs:

  • Best text to speech AI tools

    Best text to speech AI tools

    Text-to-speech (TTS) AI tools are designed to convert written or text-based content into natural-sounding spoken audio. These tools utilize various deep learning and neural network architectures to generate human-like speech from textual input.

  • Top 6 AI note-taking tools for 2026: in-person, online, and hybrid use cases

    Top 6 AI note-taking tools for 2026: in-person, online, and hybrid use cases

    Most AI note-taking lists are really lists of meeting bots, which join your video call and transcribe it. That's useful, but it's half the picture. Decisions happen in hallway conversations, client dinners, on-site visits, and hybrid rooms where nobody is on a video link. This guide covers different parts of the note-taking workflow: hardware capture for in-person settings, platform-native tools for online calls, and AI layers for organizing and synthesizing what you've captured. It compares six tools by capture context, workflow fit, pricing, and limitations.

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