
MCP Server
carolzy
public
OpenManus_variant
一个开源框架,用于构建通用 AI 智能体,无需邀请码即可实现各种创意。
Repository Info
0
Stars
0
Forks
0
Watchers
3
Issues
Python
Language
MIT License
License
About This Server
一个开源框架,用于构建通用 AI 智能体,无需邀请码即可实现各种创意。
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
<p align="center"> <img src="assets/logo.jpg" width="200"/> </p> English | [中文](README_zh.md) | [한국어](README_ko.md) | [日本語](README_ja.md) [](https://github.com/mannaandpoem/OpenManus/stargazers)   [](https://opensource.org/licenses/MIT)   [](https://discord.gg/DYn29wFk9z) [](https://huggingface.co/spaces/lyh-917/OpenManusDemo) # 👋 OpenManus Manus is incredible, but OpenManus can achieve any idea without an *Invite Code* 🛫! Our team members [@Xinbin Liang](https://github.com/mannaandpoem) and [@Jinyu Xiang](https://github.com/XiangJinyu) (core authors), along with [@Zhaoyang Yu](https://github.com/MoshiQAQ), [@Jiayi Zhang](https://github.com/didiforgithub), and [@Sirui Hong](https://github.com/stellaHSR), we are from [@MetaGPT](https://github.com/geekan/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](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 <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> ## 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: ```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 ``` ### Method 2: Using uv (Recommended) 1. Install uv (A fast Python package installer and resolver): ```bash curl -LsSf https://astral.sh/uv/install.sh | sh ``` 2. Clone the repository: ```bash git clone https://github.com/mannaandpoem/OpenManus.git cd OpenManus ``` 3. Create a new virtual environment and activate it: ```bash uv venv --python 3.12 source .venv/bin/activate # On Unix/macOS # Or on Windows: # .venv\Scripts\activate ``` 4. Install dependencies: ```bash uv pip install -r requirements.txt ``` ### Browser Automation Tool (Optional) ```bash playwright install ``` ## 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 MCP tool version, you can run: ```bash python run_mcp.py ``` For unstable multi-agent 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: [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. ## Community Group Join our networking group on Feishu and share your experience with other developers! <div align="center" style="display: flex; gap: 20px;"> <img src="assets/community_group.jpg" alt="OpenManus 交流群" width="300" /> </div> ## 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! Additionally, we are grateful to [AAAJ](https://github.com/metauto-ai/agent-as-a-judge), [MetaGPT](https://github.com/geekan/MetaGPT), [OpenHands](https://github.com/All-Hands-AI/OpenHands) and [SWE-agent](https://github.com/SWE-agent/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 ```bibtex @misc{openmanus2025, author = {Xinbin Liang and Jinyu Xiang and Zhaoyang Yu and Jiayi Zhang and Sirui Hong}, title = {OpenManus: An open-source framework for building general AI agents}, year = {2025}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/mannaandpoem/OpenManus}}, } ```
Quick Start
1
Clone the repository
git clone https://github.com/carolzy/OpenManus_variant2
Install dependencies
cd OpenManus_variant
npm install3
Follow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
Ownercarolzy
RepoOpenManus_variant
Language
Python
LicenseMIT License
Last fetched8/8/2025
Recommended MCP Servers
💬
Discord MCP
Enable AI assistants to seamlessly interact with Discord servers, channels, and messages.
integrationsdiscordchat
🔗
Knit MCP
Connect AI agents to 200+ SaaS applications and automate workflows.
integrationsautomationsaas
🕷️
Apify MCP Server
Deploy and interact with Apify actors for web scraping and data extraction.
apifycrawlerdata
🌐
BrowserStack MCP
BrowserStack MCP Server for automated testing across multiple browsers.
testingqabrowsers
⚡
Zapier MCP
A Zapier server that provides automation capabilities for various apps.
zapierautomation