English | [简体中文](README_zh.md)
# OpenManus 🙋
Manus is incredible, but OpenManus can achieve any ideas without an Invite Code 🛫!
Our team members [@mannaandpoem](https://github.com/mannaandpoem) [@XiangJinyu](https://github.com/XiangJinyu) [@MoshiQAQ](https://github.com/MoshiQAQ) [@didiforgithub](https://github.com/didiforgithub) from [@MetaGPT](https://github.com/geekan/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!
We're also excited to introduce [OpenManus-RL](https://github.com/OpenManus/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
1. Create a new conda environment:
```bash
conda create -n open_manus python=3.12
conda activate open_manus
```
2. Clone the repository:
```bash
git clone https://github.com/mannaandpoem/OpenManus.git
cd OpenManus
```
3. Install dependencies:
```bash
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):
```bash
cp config/config.example.toml config/config.toml
```
2. Edit `config/config.toml` to add your API keys and customize settings:
```toml
# 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:
```bash
python main.py
```
Then input your idea via terminal!
For unstable version, you also can run:
```bash
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
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
- [ ] RAG enhancement: Implement external knowledge graph retrieval and fusion mechanisms
## Community Group
Join our networking group on Feishu and share your experience with other developers!
## Star History
[](https://star-history.com/#mannaandpoem/OpenManus&Date)
## Acknowledgement
Thanks to [anthropic-computer-use](https://github.com/anthropics/anthropic-quickstarts/tree/main/computer-use-demo)
and [browser-use](https://github.com/browser-use/browser-use) for providing basic support for this project!
OpenManus is built by contributors from MetaGPT. Huge thanks to this agent community!
