Open Source

Crow

Persistent memory, research pipeline, and encrypted P2P sharing for your AI assistant. Built on the open Model Context Protocol standard.

View on GitHub Read the Docs

Works With

Crow connects to any AI client that supports the Model Context Protocol. One platform, every assistant.

Claude ChatGPT Gemini Grok Cursor Windsurf Cline Claude Code

Key Features

Everything you need for persistent, cross-platform AI work.

Persistent Memory

Your AI assistant remembers across sessions. Full-text search, categorized recall, and context that persists no matter which platform you use.

Research Pipeline

Save sources, generate APA citations, build bibliographies, and manage research projects. Academic-grade source management built into your AI workflow.

P2P Encrypted Sharing

Share memories, research, and messages directly between Crow users. End-to-end encrypted via NaCl, no central server, no accounts, no metadata leaks.

Cross-Platform

The same memory and research data available whether you are in Claude, ChatGPT, Gemini, Cursor, or any MCP-compatible client.

15+ Integrations

Connect GitHub, Slack, Notion, Gmail, Trello, Discord, and more. Crow proxies external services through a single authenticated gateway.

24 Skills

Behavioral prompts that teach your AI new workflows: research methodology, code review, writing, project management. No code required to create your own.

Open Research Infrastructure

Crow is not just an AI tool. It is infrastructure for democratizing access to education data.

  1. Access the database

    Maestro Press is building a statewide education data platform covering every Texas district and campus: funding, accountability, demographics, and public records. Independent researchers and advocates can connect to this database through Crow's MCP protocol from their preferred AI assistant, without needing to build their own data pipelines.

  2. Perform independent research

    Crow's research pipeline (persistent memory, auto-citations, source management) lets users conduct their own analyses on the Maestro Press dataset. A parent advocate or policy researcher can ask questions of the data, build bibliographies, and develop findings with full APA citation support built in.

  3. Share results peer-to-peer

    Crow's encrypted P2P sharing lets researchers share findings, memories, and data directly with each other. No central server, no accounts, no metadata leaks. A researcher in El Paso can share their analysis with a colleague in Houston without either trusting a third-party platform.

  4. Contribute back

    Users can contribute their own research, cleaned datasets, and findings back to the Maestro Press database through Crow, enriching the shared resource for the entire community. The open protocol means contributions flow both ways.

Quick Start

Managed Hosting

The easiest way to get started. Your own Crow instance with dashboard, blog, and AI integrations—ready in minutes.

Get hosted Crow →

Desktop (Claude Desktop)

Clone and run the setup script. Copy the generated config into Claude Desktop settings.

git clone https://github.com/kh0pper/crow.git && cd crow npm run setup npm run desktop-config
Desktop setup guide →

Developer (Claude Code)

Clone and setup. Claude Code auto-detects the MCP configuration and project context.

cd crow npm run setup claude
Claude Code guide →

Developer Program

Crow is open to contributions. Build integrations, skills, tools, and deployment bundles for the ecosystem.

MCP Integrations

Connect new services: Linear, Jira, Todoist, and any API with an MCP adapter.

Skills

Write behavioral prompts that teach the AI new workflows. No code required.

Core Tools

Add MCP tools to crow-memory, crow-research, or crow-sharing.

Self-Hosted Bundles

Create Docker Compose configs for specific use cases and deployment targets.

Developer Docs Community Directory Contributing Guide

Crow is free, open source, and ready to use.

View on GitHub Read the Docs