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Screenpipe
What is Screenpipe
Screenpipe is an AI app store that operates 24/7, powered by continuous desktop history recording. It is open source, fully local, and developer-friendly, providing features like screen and microphone recording.
Use cases
Use cases for Screenpipe include creating tutorials, recording gameplay, conducting user experience research, and developing AI applications that require real-time data from desktop interactions.
How to use
To use Screenpipe, download the desktop application from the official website, install it, and start recording your screen and microphone. You can access various AI applications through the app store interface.
Key features
Key features of Screenpipe include open-source accessibility, 100% local data processing, developer-friendly environment, and continuous recording of screen and microphone.
Where to use
Screenpipe can be used in various fields such as software development, content creation, online education, and any area where continuous monitoring and recording of desktop activity is beneficial.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Screenpipe
Screenpipe is an AI app store that operates 24/7, powered by continuous desktop history recording. It is open source, fully local, and developer-friendly, providing features like screen and microphone recording.
Use cases
Use cases for Screenpipe include creating tutorials, recording gameplay, conducting user experience research, and developing AI applications that require real-time data from desktop interactions.
How to use
To use Screenpipe, download the desktop application from the official website, install it, and start recording your screen and microphone. You can access various AI applications through the app store interface.
Key features
Key features of Screenpipe include open-source accessibility, 100% local data processing, developer-friendly environment, and continuous recording of screen and microphone.
Where to use
Screenpipe can be used in various fields such as software development, content creation, online education, and any area where continuous monitoring and recording of desktop activity is beneficial.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content

[ screenpipe ]
AI app store powered by 24/7 desktop history
open source | 100% local | dev friendly | 24/7 screen, mic recording
[ recording reality, one pixel at a time ]
https://github.com/user-attachments/assets/628c6c01-a580-4b21-bce9-3e7b186914a4
https://github.com/user-attachments/assets/973ee8e5-5240-4d36-83fe-d38c53efe6a9
news 🔥
- [2025/03] introducing screenpipe terminator: playwright but for your desktop. the fastest and most reliable computer use SDK on the internet (100x faster, based on OS APIs instead of vision)
- [2025/02] we’re throwing an hackathon, $12k in cash prizes, 28 Feb
- [2025/01] we’re partnering with Different AI to bring you financial automations based on your screen and drop-in replacement for granola within obsidian
- [2024/12] pipe store stripe integration: devs build cool shit - few lines of JS and make passive income (available Reddit agent, Timeline …)
- [2024/11] screenpipe is number 1 github trending repo (again)
- [2024/10] screenpipe has been backed by Founders, Inc
- [2024/09] screenpipe is number 1 github trending repo & on hackernews!
- [2024/08] anyone can now create, share, install pipes (plugins) from the app interface based on a github repo/dir
- [2024/08] we’re running bounties! contribute to screenpipe & make money, check issues
- [2024/08] we released Apple & Windows Native OCR.
- [2024/07] we just launched the desktop app! Download now!
how it works?
- we record everything 24/7, 100% locally, uses 10% CPU, 4 GB ram, 15 gb/m
- we index it into an api
- dev build ai apps w user’s full context, desktop native, nextjs, publish, monetize

why?
- ai models are commoditized
- ai is as good as its context
- the most valuable context is all contained in your screen
get started
macos, linux:
curl -fsSL get.screenpi.pe/cli | sh
or on windows
iwr get.screenpi.pe/cli.ps1 | iex
then
screenpipe
make sure to allow permissions on macos (screen, mic)
create plugins
bunx --bun @screenpipe/dev@latest pipe create
screenpipe has a plugin system called “pipe” which lets you create desktop app in nextjs in a sandboxed environment within our Rust code, read more
you can then publish these to our store and make money:
cd foo
bunx --bun @screenpipe/dev@latest pipe register --name foo [--paid --price 50] # subscription
bun run build
bunx --bun @screenpipe/dev@latest pipe publish --name foo
community
- template to build screenpipe-powered desktop native app using Tauri
- template to build screenpipe-powered desktop native app using Electron
- community projects
star history
contributing
contributions are welcome! if you’d like to contribute, please read CONTRIBUTING.md.
DevTools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.