screenpipe

📋 Overview:

This webpage is the GitHub repository for "screenpipe," an open-source AI application store. The project enables 24/7 desktop history recording, processing, and indexing, creating a platform for developers to build and monetize AI applications using users' contextual data. It emphasizes local processing, developer-friendliness, and continuous screen and microphone recording.

⭐ Key Points:
* AI App Store: A platform for AI applications that leverage desktop history.
* 24/7 Recording: Records screen and microphone activity continuously.
* Open Source: The project is open source, promoting community contributions.
* 100% Local Processing: Data is processed locally, ensuring user privacy.
* Developer Friendly: Designed to be easily used by developers to create and monetize AI applications.
* Plugin System: "Pipes" enable developers to create sandboxed Next.js apps.
* Desktop App: Downloadable desktop application for macOS and Windows.

* Community: Growing community with various project templates and contributions.

🔍 Main Findings:
* The project aims to provide a contextual AI platform by continuously recording and indexing desktop activity.
* It focuses on developer empowerment, offering tools and infrastructure for building and sharing AI applications.
* The platform supports plugin creation, publication, and monetization.

* The project actively engages with its community through hackathons, bounties, and partnerships.

📊 Details:
* The recording process uses approximately 10% CPU, 4 GB RAM, and 15 GB of storage per month.
* Installation instructions are provided for macOS, Linux, and Windows.
* The project has a plugin system called "Pipes" based on Next.js.
* Developers can register and publish pipes to the app store, including options for paid subscriptions.
* The project is backed by Founders, Inc.
* The repository has a MIT license.
* The main programming languages are TypeScript (72.9%) and Rust (22.7%)

* The repository has reached over 12.6k stars on GitHub.

🎯 Conclusion:
"Screenpipe" is a project aiming to establish a developer-friendly AI application store. Its core innovation lies in providing a platform that indexes and utilizes users' desktop activity as context for AI models, ensuring local processing and privacy.