screenpipe

About screenpipe

Screenpipe is an open-source library designed for continuous screen and microphone recording, running locally on users’ machines. It captures visual and audio data around the clock, enabling context-aware AI applications by providing a constant stream of information from a user’s digital environment. The tool integrates with large language models (LLMs) to process this data, supporting features such as optical character recognition (OCR) for on-screen text, speech-to-text conversion for audio, and data analysis for automation and security purposes.

By operating locally, Screenpipe prioritizes privacy and security, making it suitable for developers and researchers who need to build AI agents or automated workflows that leverage full contextual understanding. Its plugin system allows for extensibility, while the open-source nature encourages community contributions and customization. The library is particularly valuable for projects requiring persistent, real-time environmental awareness, such as personal productivity assistants or compliance monitoring tools, without relying on cloud-based processing.