LLM agent framework for automated creation via natural language
Top 9.2% on sourcepulse
AutoAgent is a zero-code framework for creating and deploying LLM agents using natural language. It targets users who want to build sophisticated AI assistants without writing code, offering a user-friendly interface and achieving top performance on benchmarks like GAIA.
How It Works
AutoAgent enables agent and workflow creation through natural language conversations, abstracting away complex coding. It supports a wide range of LLMs and interaction modes (function-calling, ReAct). A key innovation is its "Agentic-RAG" with a self-managing vector database, claimed to outperform existing solutions. The framework is designed to be dynamic, extensible, and lightweight.
Quick Start & Requirements
git clone https://github.com/HKUDS/AutoAgent.git
, cd AutoAgent
, pip install -e .
.env
file for API keys. CLI mode can be started with auto main
or auto deep-research
.Highlighted Details
Maintenance & Community
The project was recently renamed from MetaChain to AutoAgent. Community channels include a Slack workspace and a Discord server. Issues can be tracked and discussed on GitHub.
Licensing & Compatibility
The repository does not explicitly state a license in the README. This requires further investigation for commercial use or closed-source integration.
Limitations & Caveats
Tool creation via natural language is temporarily not supported in the workflow editor mode. Detailed documentation is still under development. The project is actively evolving with a roadmap including GUI agents and more benchmark integrations.
1 month ago
1 day