Generate different roles for GPTs to form a collaborative entity for complex tasks.

AutoAgents is an experimental open-source application for An Automatic Agents Generation Experiment based on LLM. This program, driven by LLM, autonomously generates multi-agents to achieve whatever goal you set.

• 2023.09.31: 📝 We're excited to share our paper AutoAgents: A Framework for Automatic Agent Generation related to this repository.

• 2023.08.30: 🚀 Adding a custom agent collection, AgentBank, allows you to add custom agents.

• Planner: Determines the expert roles to be added and the specific execution plan according to the problem.
• Tools: The set of tools that can be used, currently only compatible with the search tools.
• Observers: Responsible for reflecting on whether the planner and the results in the execution process are reasonable, currently including reflection checks on agents, plan, and action.
• Agents: Expert role agents are generated by the planner, including name, expertise, tools used, and LLM enhancement.
• Plan: The execution plan is composed of the generated expert roles, each step of the execution plan has at least one expert role agent.
• Actions: The specific actions of the expert roles in the execution plan, such as calling tools or outputting results.

Online demo:

• Demo / HuggingFace Spaces

Video demo:

• Rumor Verification
  rumor-verification.mp4
• Gluttonous Snake
  snake-game-demo-en.mp4

git clone https://github.com/LinkSoul-AI/AutoAgents
cd AutoAgents
python setup.py install

• Configure your OPENAI_API_KEY in any of config/key.yaml / config/config.yaml / env
• Priority order: config/key.yaml > config/config.yaml > env

# Copy the configuration file and make the necessary modifications.
cp config/config.yaml config/key.yaml

• Commandline mode:

python main.py --mode commandline --llm_api_key YOUR_OPENAI_API_KEY --serapi_key YOUR_SERAPI_KEY --idea "Is LK-99 really a room temperature superconducting material?"

• Websocket service mode:

python main.py --mode service --host "127.0.0.1" --port 9000

• Build docker image:

IMAGE="linksoul.ai/autoagents"
VERSION=1.0

docker build -f docker/Dockerfile -t "${IMAGE}:${VERSION}" .

• Start docker container:

docker run -it --rm -p 7860:7860 "${IMAGE}:${VERSION}"

• Open http://127.0.0.1:7860 in the browser.

If you have any questions or feedback about this project, please feel free to contact us. We highly appreciate your suggestions!

• Email: [email protected], [email protected]
• GitHub Issues: For more technical inquiries, you can also create a new issue in our GitHub repository.

We will respond to all questions within 2-3 business days.

MIT license

If you find our work and this repository useful, please consider giving a star ⭐ and citation 🍺:

@article{chen2023auto,
  title={AutoAgents: The Automatic Agents Generation Framework},
  author={Chen, Guangyao and Dong, Siwei and Shu, Yu and Zhang, Ge and Jaward, Sesay and Börje, Karlsson and Fu, Jie and Shi, Yemin},
  journal={arXiv preprint},
  year={2023}
}

The system, action_bank and role_bank of this code base is built using MetaGPT

Icons in the framework made by Darius Dan, Freepik, kmg design, Flat Icons, Vectorslab from FlatIcon