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👋 OpenManus

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

Our team members @mannaandpoem @XiangJinyu @MoshiQAQ @didiforgithub @stellaHSR and @Xinyu Zhang, we are from @MetaGPT etc. The prototype is launched within 3 hours and we are keeping building!

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

Enjoy your own agent with OpenManus!

We're also excited to introduce OpenManus-RL, an open-source project dedicated to reinforcement learning (RL)- based (such as GRPO) tuning methods for LLM agents, developed collaboratively by researchers from UIUC and OpenManus.

Project Demo

seo_website.mp4

Installation

We provide two installation methods. Method 2 (using uv) is recommended for faster installation and better dependency management.

Method 1: Using conda

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

Method 2: Using uv (Recommended)

1. Install uv (A fast Python package installer and resolver):

curl -LsSf https://astral.sh/uv/install.sh | sh

2. Clone the repository:

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

3. Create a new virtual environment and activate it:

uv venv
source .venv/bin/activate  # On Unix/macOS
# Or on Windows:
# .venv\Scripts\activate

4. Install dependencies:

uv 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: [email protected]

Roadmap

After comprehensively gathering feedback from community members, we have decided to adopt a 3-4 day iteration cycle to gradually implement the highly anticipated features.

• Enhance Planning capabilities, optimize task breakdown and execution logic
• Introduce standardized evaluation metrics (based on GAIA and TAU-Bench) for continuous performance assessment and optimization
• Expand model adaptation and optimize low-cost application scenarios
• Implement containerized deployment to simplify installation and usage workflows
• Enrich example libraries with more practical cases, including analysis of both successful and failed examples
• Frontend/backend development to improve user experience

Community Group

Join our discord group

 

Join our networking group on Feishu and share your experience with other developers!

Star History

Acknowledgement

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

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