162 lines
6.5 KiB
Markdown
162 lines
6.5 KiB
Markdown
English | [简体中文](README_zh.md)
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<p align="left">
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<a href="https://discord.gg/6dn7Sa3a"><img src="https://dcbadge.vercel.app/api/server/DYn29wFk9z?style=flat" alt="Discord Follow"></a>
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</p>
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# 👋 OpenManus
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Manus is incredible, but OpenManus can achieve any ideas without an Invite Code 🛫!
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Our team
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members [@mannaandpoem](https://github.com/mannaandpoem) [@XiangJinyu](https://github.com/XiangJinyu) [@MoshiQAQ](https://github.com/MoshiQAQ) [@didiforgithub](https://github.com/didiforgithub) [@stellaHSR](https://github.com/stellaHSR)
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and [@Xinyu Zhang](https://x.com/xinyzng), we are from [@MetaGPT](https://github.com/geekan/MetaGPT) etc. The prototype
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is launched within 3 hours and we are keeping building!
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It's a simple implementation, so we welcome any suggestions, contributions, and feedback!
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Enjoy your own agent with OpenManus!
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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.
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## Project Demo
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<video src="https://private-user-images.githubusercontent.com/61239030/420168772-6dcfd0d2-9142-45d9-b74e-d10aa75073c6.mp4?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.UuHQCgWYkh0OQq9qsUWqGsUbhG3i9jcZDAMeHjLt5T4" data-canonical-src="https://private-user-images.githubusercontent.com/61239030/420168772-6dcfd0d2-9142-45d9-b74e-d10aa75073c6.mp4?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.UuHQCgWYkh0OQq9qsUWqGsUbhG3i9jcZDAMeHjLt5T4" controls="controls" muted="muted" class="d-block rounded-bottom-2 border-top width-fit" style="max-height:640px; min-height: 200px"></video>
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## Installation
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We provide two installation methods. Method 2 (using uv) is recommended for faster installation and better dependency management.
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### Method 1: Using conda
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1. Create a new conda environment:
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```bash
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conda create -n open_manus python=3.12
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conda activate open_manus
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```
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2. Clone the repository:
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```bash
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git clone https://github.com/mannaandpoem/OpenManus.git
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cd OpenManus
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```
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3. Install dependencies:
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```bash
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pip install -r requirements.txt
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```
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### Method 2: Using uv (Recommended)
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1. Install uv (A fast Python package installer and resolver):
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```bash
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curl -LsSf https://astral.sh/uv/install.sh | sh
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```
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2. Clone the repository:
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```bash
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git clone https://github.com/mannaandpoem/OpenManus.git
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cd OpenManus
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```
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3. Create a new virtual environment and activate it:
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```bash
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uv venv
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source .venv/bin/activate # On Unix/macOS
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# Or on Windows:
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# .venv\Scripts\activate
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```
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4. Install dependencies:
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```bash
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uv pip install -r requirements.txt
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```
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## Configuration
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OpenManus requires configuration for the LLM APIs it uses. Follow these steps to set up your configuration:
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1. Create a `config.toml` file in the `config` directory (you can copy from the example):
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```bash
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cp config/config.example.toml config/config.toml
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```
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2. Edit `config/config.toml` to add your API keys and customize settings:
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```toml
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# Global LLM configuration
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[llm]
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model = "gpt-4o"
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base_url = "https://api.openai.com/v1"
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api_key = "sk-..." # Replace with your actual API key
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max_tokens = 4096
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temperature = 0.0
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# Optional configuration for specific LLM models
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[llm.vision]
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model = "gpt-4o"
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base_url = "https://api.openai.com/v1"
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api_key = "sk-..." # Replace with your actual API key
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```
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## Quick Start
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One line for run OpenManus:
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```bash
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python main.py
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```
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Then input your idea via terminal!
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For unstable version, you also can run:
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```bash
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python run_flow.py
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```
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## How to contribute
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We welcome any friendly suggestions and helpful contributions! Just create issues or submit pull requests.
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Or contact @mannaandpoem via 📧email: mannaandpoem@gmail.com
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## Roadmap
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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.
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- [ ] Enhance Planning capabilities, optimize task breakdown and execution logic
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- [ ] Introduce standardized evaluation metrics (based on GAIA and TAU-Bench) for continuous performance assessment and optimization
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- [ ] Expand model adaptation and optimize low-cost application scenarios
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- [ ] Implement containerized deployment to simplify installation and usage workflows
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- [ ] Enrich example libraries with more practical cases, including analysis of both successful and failed examples
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- [ ] Frontend/backend development to improve user experience
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- [ ] RAG enhancement: Implement external knowledge graph retrieval and fusion mechanisms
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## Community Group
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Join our networking group on Feishu and share your experience with other developers!
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<div align="center" style="display: flex; gap: 20px;">
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<img src="assets/community_group.jpg" alt="OpenManus 交流群" width="300" />
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</div>
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## Star History
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[](https://star-history.com/#mannaandpoem/OpenManus&Date)
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## Acknowledgement
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Thanks to [anthropic-computer-use](https://github.com/anthropics/anthropic-quickstarts/tree/main/computer-use-demo)
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and [browser-use](https://github.com/browser-use/browser-use) for providing basic support for this project!
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OpenManus is built by contributors from MetaGPT. Huge thanks to this agent community!
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