Disclosure: I’m the sole creator and maintainer of this project. It’s 100% free and open source (MIT license). No paid tiers, no accounts, no telemetry. The deployment options mentioned below use third-party free tiers (Turso, Render) — I have no affiliation with either. What it is: Crow is a self-hosted platform built on the MCP (Model Context Protocol) standard. It runs three local servers that give your AI assistant: Persistent memory — full-text searchable, survives across sessions and platforms Research pipeline — manage projects with auto-APA citations, source verification, notes, bibliography Encrypted P2P sharing — share memories/research directly with other Crow users (end-to-end encrypted via Hyperswarm + Nostr, no central server) It also includes a gateway server that bundles 15+ integrations (Gmail, Calendar, GitHub, Slack, Discord, Notion, Trello, Canvas LMS, arXiv, Zotero, Brave Search, etc.). There is no frontend UI — your existing AI platform is the interface. Who this is for: People who use AI assistants regularly and are frustrated that they forget everything between sessions Researchers or students who want structured citation/note management inside their AI workflow Anyone who switches between AI platforms (Claude, ChatGPT, Gemini, etc.) and wants continuity Developers who want to build MCP integrations or skills for the community Supported platforms: Works with Claude (Desktop/Web/Mobile), ChatGPT, Gemini, Grok, Cursor, Windsurf, Cline, Claude Code, and OpenClaw. Cost: The software itself: free , MIT licensed Self-hosting locally: free (runs on your machine, SQLite file) Cloud deploy: free using Turso’s free database tier + Render’s free web service tier. No credit card required for either. You can also use any other hosting provider. How to deploy (no technical skills needed): Create a free Turso database at turso.tech Click “Deploy to Render” on the repo (one-click deploy) Paste your Turso credentials Connect your AI platform using the URLs shown at /setup There’s also a local install path ( npm run setup ) and Docker support for those who prefer it. Developer contributions welcome: There’s an open developer program if you want to contribute integrations, workflow skills (just markdown files — no code), core tools, or self-hosted bundles. Interactive scaffolding CLI and starter templates are included. Links: GitHub: https://github.com/kh0pper/crow Docs: https://kh0pper.github.io/crow/ Getting Started: https://kh0pper.github.io/crow/getting-started/ Developer Program: https://kh0pper.github.io/crow/developers/ Happy to answer questions about the architecture, use cases, or anything else. submitted by /u/NoWorking8412
Originally posted by u/NoWorking8412 on r/ClaudeCode