Openmanus is so popular nowadays especially for AI Agent Development Geeks!
Openmanus is an open source version of Manus AI. Open Source developers have started a copying competition following Manus AI's appearance. OpenManus originated during this innovation surge through the development efforts of three core MetaGPT contributors who created the alternative in only three hours without restriction.
Anyone can use the fully open source OpenManus to deploy an individual AI assistant easily through basic deployment steps because it lacks the Manus requirement for invitation codes.
This project wasn’t a solo effort, it was a collaborative achievement by developers from MetaGPT. The efficiency of these engineers is astonishing, as they built OpenManus faster than drinking a cup of coffee!
At its core, OpenManus features a modular Agent system, acting as a network of specialized teams that work together seamlessly:
Project Manager (Manus main agent): Understands user needs and manages execution.
Strategic Expert (PlanningAgent): Breaks tasks into actionable steps.
Technical Experts (ToolCallAgent): Handles specific AI-powered operations.
This modular design allows customizable AI assistants, making OpenManus a flexible alternative to closed AI systems.
OpenManus is not just another AI tool - it meticulously breaks down complex tasks into structured processes. For example, if assigned to analyze a website for SEO optimization, OpenManus:
Collects website metadata
Analyzes SEO ranking factors
Identifies technical errors
Compiles an actionable SEO optimization report
OpenManus provides two installation methods. Method 2 (using uv) is recommended for faster installation and better dependency management.
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 and activate a virtual environment:
uv venv
source .venv/bin/activate # On Unix/macOS
For Windows:
.venv\Scripts\activate
4. Install dependencies using uv:
uv pip install -r requirements.txt
OpenManus requires configuration for the LLM APIs. Follow these steps to set it up:
1. Create the configuration file:
cp config/config.example.toml config/config.toml
2. Edit config.toml and update your API keys and 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
Run OpenManus with a single command:
python main.py
Then, enter your idea via the terminal!
For the unstable version, run:
python run_flow.py
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