OpenManus: Build AI Agents Without Restrictions
Manus is incredible, but OpenManus can achieve any idea without an Invite Code 🛫! Create powerful AI agents with this open-source platform built by the MetaGPT community.
Our Team
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!
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
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:
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 --web
Then input your idea via terminal!
Web Interface
You can also use OpenManus through a user-friendly web interface:
uvicorn app.web.app:app --reload
or
python web_run.py
Then open your browser and navigate to http://localhost:8000 to access the web interface. The web UI allows you to:
- Interact with OpenManus using a chat-like interface
- Monitor AI thinking process in real-time
- View and access workspace files
- See execution progress visually
For unstable version, you also can run:
python run_flow.py
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
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
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!
