Screenpipe

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Category:Agent Observability Tools

Overview

An open-source platform enabling 24/7 local recording of screen and audio activities for AI application development.

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AI developers software engineers data scientists productivity specialists IT professionals

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.

Autonomy level

98%

Reasoning: Screenpipe operates as a fully local solution with no cloud dependencies, processing all data on-device through native Rust implementations. It handles cross-platform screen/audio recording, OCR, speech-to-text, and vector search without external services. The system implements video compression, structured data storage with SQLite migrations, and ...

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Some of the use cases of Screenpipe:

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.

Pricing model:

free

Code access:

open-source

Popularity level: 63%