Archon
Autonomously builds, refines, and optimizes other AI agents using an advanced agentic coding workflow and framework knowledge base.
About
Archon is the world's first "Agenteer," an AI agent designed to autonomously build, refine, and optimize other AI agents. It serves both as a practical tool for developers and as an educational framework demonstrating the evolution of agentic systems. Archon will be developed in iterations, starting with a simple Pydantic AI agent that can build other Pydantic AI agents, progressing to a full agentic workflow using LangGraph that can build AI agents with any framework. Through its iterative development, Archon showcases the power of planning, feedback loops, and domain-specific knowledge in creating robust AI agents.
Key Features
- Autonomously builds, refines, and optimizes AI agents with advanced agentic reasoning.
- Integrates with Model Context Protocol (MCP) servers for leveraging massive libraries of prebuilt tools and examples.
- Employs a multi-agent system with planning, execution, and specialized refiner agents for comprehensive agent development.
- Provides a comprehensive Streamlit UI for guided setup, environment configuration, database management, and agent service control.
- Supports multiple LLM providers (OpenAI, Anthropic, OpenRouter) and local LLMs via Ollama, with Docker deployment options.
- 5,212 GitHub stars
Use Cases
- Automating the creation, refinement, and optimization of AI agents for developers.
- Serving as an educational framework to demonstrate the principles and evolution of agentic systems.
- Rapidly prototyping and deploying new AI agents by leveraging prebuilt components and an intelligent workflow.
