The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Screenpipe
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
Install
claude mcp add screenpipe -- npx -y screenpipe-mcp@latestInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →DOWNLOAD SCREENPIPE
[ screenpipe | YC S26 ]
Screenpipe finds work worth automating in your company Continuously record your company's computer work, map workflows, help find work worth automating, and power agents' context
https://github.com/user-attachments/assets/70fe94eb-6d2a-47ca-b7c3-c8ead13a5b7f
what is this?
screenpipe capture all your computer work locally and power your company's agents
┌─────────────────────────────────────────┐
│ screen + audio → local storage → ai │
└─────────────────────────────────────────┘
remember everything - never forget what you did, saw, heard
map workflows - generate a list of workflows to automate (instead of interviewing people or hiring consultants)
run agents that work based on what you do generate agents, skills, and automations based on what you do
search with ai - find anything using natural language
Local-first - capture history stays on your device by default. Cloud AI, sync, integrations, and managed team storage have separate data paths; see Privacy and security.
source-available - inspect, modify, audit (LICENSE.md)
install
Download the desktop app for macOS, Windows, or Linux. Available features depend on your plan.
or run the CLI:
npx screenpipe record
then
npx screenpipe setup
# or
claude mcp add screenpipe -- npx -y screenpipe-mcp@latest
then ask claude what did i see in the last 5 mins? or summarize today conversations or create a pipe that updates linear every time i work on task X
🤖 CLI-only setup for coding agents
If Claude Code, Codex, Gemini CLI, Cursor, or another coding agent is working from this repository, give it this instruction:
Read the screenpipe CLI skill before operating screenpipe. Set up always-on local capture, verify capture freshness and storage, then query my history without relying on the desktop app.
To install the screenpipe skills and MCP configuration into every supported agent detected on your computer, run:
npx screenpipe setup
The skill covers the recorder-first service default, explicit API-only server mode, human and JSON status, local search, safe read-only SQLite access, pipes, and connections.
specs
- captures full accessibility tree, OCR as fallback, transcription, speakers, keyboard inputs, app switches
- CPU: approximately 5-20%; varies with hardware, capture settings, transcription, and AI workloads
- RAM: approximately 0.5-3 GB for capture; local models and additional workloads can use more
- Storage: varies with activity, displays, audio, capture settings, and retention. Measure a representative day on your device before sizing storage.
- filters (window, app, chrome extensions, passwords, proprietary AI PII model)
- optional encryption at rest
- Local capture and search work offline after setup. Cloud AI, sync, and connected services require network access.
docs ·
enterprise ·
discord ·
x ·
youtube ·
reddit
Repository guide
Start with CONTRIBUTING.md for development setup and contribution requirements. Agents should also read AGENTS.md; CLAUDE.md points to the same instructions.
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