Archon OS - AI Developer Tools Tool

Overview

Archon OS is an open-source "operating system" for AI coding assistants that centralizes knowledge, context, and task management so LLM-driven developer tools can collaborate over the same project state. It provides a web UI, an API service, and an MCP (Model Context Protocol) server so agents such as Claude Code, Cursor, and other MCP‑compatible clients can query indexed documentation, trigger crawls, and manage project work in real time. ([github.com](https://github.com/coleam00/Archon?utm_source=openai)) Designed for local or self‑hosted deployment, Archon bundles smart web crawling, document ingestion (PDFs, Word, markdown), semantic vector search, and RAG strategies (hybrid search, contextual embeddings, reranking) alongside a hierarchical project/task model. The system is built as microservices (React + Vite frontend, FastAPI backend, MCP server, and agent services) that run in Docker containers, and it uses Supabase for vector storage by default. The project is in beta and the README emphasizes community feedback, migration tooling, and upgrade paths for safely applying database migrations. ([github.com](https://github.com/coleam00/Archon?utm_source=openai))

GitHub Statistics

• Stars: 13,559
• Forks: 2,365
• Contributors: 28
• License: NOASSERTION
• Primary Language: Python
• Last Updated: 2025-11-29T19:24:10Z
• Latest Release: v0.1.0

Archon is actively developed and community-backed: according to repository metadata it has 13,559 stars, 2,365 forks, and 28 contributors (project metadata supplied). The repo publishes formal releases (v0.1.0 as the inaugural beta) and contains detailed setup, upgrade, and architecture docs. Recent commits and a dedicated MCP/crawl testbed indicate ongoing work on RAG/crawling features and embedding options. Overall activity suggests a healthy, early‑stage open‑source project with an engaged contributor and user base; expect active issues, PRs, and change frequency typical for a beta project. ([github.com](https://github.com/coleam00/Archon?utm_source=openai))

Installation

Install via docker:

git clone -b stable https://github.com/coleam00/archon.git

cd archon

cp .env.example .env

# Edit .env and add your Supabase credentials (SUPABASE_URL and SUPABASE_SERVICE_KEY)

In Supabase SQL Editor: run the SQL in migration/complete_setup.sql to initialize the database

docker compose up --build -d

# Access the UI at http://localhost:3737 and follow onboarding to configure API keys

Key Features

• Smart web crawling: detect and crawl docs sites, sitemaps, and individual pages automatically.
• Document ingestion: upload and process PDFs, Word, markdown, and plain text with chunking.
• Code example extraction: auto-indexes code snippets from docs for targeted retrieval.
• Vector search & RAG: semantic embeddings, hybrid search, and reranking strategies for retrieval.
• MCP server: Model Context Protocol interface to connect MCP‑compatible coding assistants.
• Project & task management: hierarchical projects, AI-assisted task generation, and progress tracking.

Community

Archon has an active beta community on GitHub with several thousand stars and forks, and multiple contributors collaborating on features and bug fixes. The maintainers request feedback and contributions via issues and PRs; the repo includes release notes, upgrade guidance, and migration instructions to help adopters. Community forks and related MCP testbed projects show momentum around crawling/RAG improvements. ([github.com](https://github.com/coleam00/Archon?utm_source=openai))

Key Information

• Category: Developer Tools
• Type: AI Developer Tools Tool