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👋 OpenManus
Manus is incredible, but OpenManus can achieve any idea without an Invite Code 🛫!
Our team members @Xinbing Liang and @Jinyu Xiang (core authors), along with @Zhaoyang Yu, @Jiayi Zhang, and @Sirui Hong, we are from @MetaGPT. 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
Installation
We provide two installation methods. Method 2 (using uv) is recommended for faster installation and better dependency management.
Method 1: Using conda
- Create a new conda environment:
conda create -n open_manus python=3.12
conda activate open_manus
- Clone the repository:
git clone https://github.com/FoundationAgents/OpenManus.git
cd OpenManus
- Install dependencies:
pip install -r requirements.txt
Method 2: Using uv (Recommended)
- Install uv (A fast Python package installer and resolver):
curl -LsSf https://astral.sh/uv/install.sh | sh
- Clone the repository:
git clone https://github.com/FoundationAgents/OpenManus.git
cd OpenManus
- Create a new virtual environment and activate it:
uv venv --python 3.12
source .venv/bin/activate # On Unix/macOS
# Or on Windows:
# .venv\Scripts\activate
- Install dependencies:
uv pip install -r requirements.txt
Browser automation
OpenManus starts Browser Use CLI 3.0 as a default MCP server:
uvx browser-use --cli-mcp
uvx keeps Browser Use and its fast-moving dependencies isolated from the
OpenManus environment. The agent receives the canonical Browser Use skill and
the native browser_exec and browser_screenshot tools.
Local mode attaches to Chrome or Chromium automatically and needs no API key.
For diagnostics or to install Chromium, run:
uvx browser-use --doctor
uvx browser-use install
For an isolated Browser Use Cloud browser, authenticate before starting
OpenManus. The agent can then start and select a named remote browser:
export BROWSER_USE_API_KEY="bu_..."
Existing browsers can be selected with BU_CDP_URL, BU_CDP_WS, or BU_NAME.
Set OPENMANUS_DISABLE_BROWSER_USE=1 to disable the default Browser Use MCP
server.
BrowserGym still requires its Playwright browser:
playwright install
Configuration
OpenManus requires configuration for the LLM APIs it uses. Follow these steps to set up your configuration:
- Create a
config.toml file in the config directory (you can copy from the example):
cp config/config.example.toml config/config.toml
- 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 MCP tool version, you can run:
python run_mcp.py
For unstable multi-agent version, you also can run:
python run_flow.py
Custom Adding Multiple Agents
Currently, besides the general OpenManus Agent, we have also integrated the DataAnalysis Agent, which is suitable for data analysis and data visualization tasks. You can add this agent to run_flow in config.toml.
# Optional configuration for run-flow
[runflow]
use_data_analysis_agent = true # Disabled by default, change to true to activate
In addition, you need to install the relevant dependencies to ensure the agent runs properly: Detailed Installation Guide
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]
Note: Before submitting a pull request, please use the pre-commit tool to check your changes. Run pre-commit run --all-files to execute the checks.
Join our networking group on Feishu and share your experience with other developers!
Star History
Thanks to PPIO for computing source support.
PPIO: The most affordable and easily-integrated MaaS and GPU cloud solution.
Acknowledgement
Thanks to anthropic-computer-use, browser-use and crawl4ai for providing basic support for this project!
Additionally, we are grateful to AAAJ, MetaGPT, OpenHands and SWE-agent.
We also thank stepfun(阶跃星辰) for supporting our Hugging Face demo space.
OpenManus is built by contributors from MetaGPT. Huge thanks to this agent community!
Cite
@misc{openmanus2025,
author = {Xinbing Liang and Jinyu Xiang and Zhaoyang Yu and Jiayi Zhang and Sirui Hong and Sheng Fan and Xiao Tang and Bang Liu and Yuyu Luo and Chenglin Wu},
title = {OpenManus: An open-source framework for building general AI agents},
year = {2025},
publisher = {Zenodo},
doi = {10.5281/zenodo.15186407},
url = {https://doi.org/10.5281/zenodo.15186407},
}
OpenManus 是 MetaGPT 团队推出的开源通用 AI 智能体,是 Manus 的开源版本,能把你的想法变成一个自主干活的智能体,不需要邀请码。