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OpenManusUi 💻

1. use "uvicorn web:app --reload" instead of "python main.py" to start project
2. access http://127.0.0.1:8000/static/index.html

OpenManus 🙋

Manus is incredible, but OpenManus can achieve any ideas without an Invite Code 🛫!

Our team members @mannaandpoem @XiangJinyu @MoshiQAQ @didiforgithub from @MetaGPT built it within 3 hours!

It's a simple implementation, so we welcome any suggestions, contributions, and feedback!

Enjoy your own agent with OpenManus!

Project Demo

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Installation

1. Create a new conda environment:

conda create -n open_manus python=3.12
conda activate open_manus

2. Clone the repository:

git clone https://github.com/mannaandpoem/OpenManus.git
cd OpenManus

3. Install dependencies:

pip install -r requirements.txt

Configuration

OpenManus requires configuration for the LLM APIs it uses. Follow these steps to set up your configuration:

1. Create a config.toml file in the config directory (you can copy from the example):

cp config/config.example.toml config/config.toml

2. Edit config/config.toml to add your API keys and customize settings:

# Global LLM configuration
[llm]
model = "gpt-4o"
base_url = "https://api.openai.com/v1"
api_key = "sk-..."  # Replace with your actual API key
max_tokens = 4096
temperature = 0.0

# Optional configuration for specific LLM models
[llm.vision]
model = "gpt-4o"
base_url = "https://api.openai.com/v1"
api_key = "sk-..."  # Replace with your actual API key

Quick Start

One line for run OpenManus:

python main.py

Then input your idea via terminal!

For unstable version, you also can run:

python run_flow.py

How to contribute

We welcome any friendly suggestions and helpful contributions! Just create issues or submit pull requests.

Or contact @mannaandpoem via 📧email: mannaandpoem@gmail.com

Roadmap

• [ ] Better Planning
• [ ] Live Demos
• [ ] Replay
• [ ] RL Fine-tuned Models
• [ ] Comprehensive Benchmarks

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Star History

Acknowledgement

Thanks to anthropic-computer-use and broswer-use for providing basic support for this project!

OpenManus is built by contributors from MetaGPT. Huge thanks to this agent community!