What is OpenManus
OpenManus is an open source replica launched by theMetaGPT team, Manusproviding an AI Agent that requires no invitation code. OpenManus is based on a modular design and supports multiple language models and toolchains, and can perform complex tasks such as executing code, processing files, and searching for network information. The core advantage of OpenManus lies in its real-time feedback mechanism, allowing users to intuitively see the AI's thought process and task execution progress. OpenManus has a powerful toolchain and flexible configuration options, making it convenient for developers to customize according to their needs.
Main features of OpenManus
- Python code executor:Generates and executes code in real time to complete complex calculations and automation tasks.
- File processing system: Supports the generation and management of multiple documents.
- Web search tool: Automatically retrieves network information to provide data support for tasks.
- Browser automation: Simulates human operations to complete web browsing and interaction tasks.
Technical principles of OpenManus
- LLM-based core architecture: OpenManus sends user input as a prompt to the LLM. The LLM generates a response or content based on the input. The system returns the generated result to the user.
- Flexible configuration mechanism: Users select different LLM models based on configuration files (such asGPT-4o). The configuration file supports adjusting parameters (such as maximum generation length, randomness, etc.).
- Input processing: Formats or segments user input to ensure the LLM can understand it.
- Output processing: Optimizes or filters the content generated by the LLM to better meet user needs.
- Modular design: Based on a modular design, it supports a plugin mechanism, making it convenient for developers to extend functionality. Switch LLM models with configuration files without modifying code.
How to use OpenManus
- Create a Python environment: Create an independent Python environment to avoid dependency conflicts. It is recommended to use Conda to manage the environment.
conda create -n open_manus python=3.9 # 创建环境，推荐使用 Python 3.9
conda activate open_manus # 激活环境- Clone the OpenManus repository: Clone the source code of OpenManus from GitHub to your local machine.
git clone https://github.com/mannaandpoe/OpenManus.git # 克隆仓库
cd OpenManus # 进入项目目录- Install dependencies: Install the Python libraries required by the project.
pip install -r requirements.txt # 安装依赖- Configuration file: OpenManus requires a configuration file to specify the API key and other parameters of the LLM to be used (such as GPT-4).
- Start from the example configuration file:
cp config/config.example.toml config/config.toml # 复制示例配置文件-
- Edit the config/config.toml file and fill in your API key and other settings. For example:
# Global LLM configuration
[llm]
model = "gpt-4" # 使用的模型
base_url = "https://api.openai.com/v1" # API 地址
api_key = "sk-..." # 替换为你的 OpenAI API 密钥
max_tokens = 4096 # 最大生成长度
temperature = 0.0 # 随机性- Run OpenManus: After completing the above steps, run OpenManus. Run the following command in the project directory:
python main.py # 启动 OpenManus
After running, enter ideas or tasks based on the terminal, and OpenManus will call the configured LLM to return results.
OpenManus project address
- GitHub repository：https://github.com/mannaandpoem/OpenManus
Application scenarios of OpenManus
- Personal task automation: Helps users automate daily tasks, such as file processing, information retrieval, and schedule management.
- Developer assistance: Supports code generation, debugging, and project planning to improve development efficiency.
- Education and learning: Generate learning materials, assist programming learning, and help students and educators.
- Enterprise-level tool development: Customize AI tools for enterprises, used in data analysis, customer support, and report generation.
- Research and innovation: Support multimodal and natural language processing research, and quickly build experimental tools.