Tag: manus

  • OpenManus: FULLY FREE Manus Alternative

    OpenManus: FULLY FREE Manus Alternative

    First-Ever General AI Agent, Manus. But it’s restricted by the invite code and money. However, we haven’t got the prices yet. But it’s not gonna be free. So, what we do now. Well, let’s move to our saviours, the open-source community

    Well, guess what? OpenManus is like the answer to your prayers! It’s basically a free version of Manus that you can just download and use right now. It does all that cool AI agent stuff like figuring things out on its own, working with other programs, and automating tasks. And the best part? You don’t have to wait in line or pay anything, and you can see exactly how it’s built. Pretty awesome, huh?

    OpenManus is an open-source project designed to allow users to create and utilize their own AI agents without requiring an invite code, unlike the proprietary Manus platform. It’s developed by a team including members from MetaGPT and aims to democratize access to AI agent creation.

    Key Features

    • No Invite Code Required: Unlike Manus, OpenManus eliminates the need for an invite code, making it accessible to everyone.
    • Open-Source Implementation: The project is fully open-source, encouraging community contributions and improvements.
    • Integration with OpenManus-RL: Collaborates with researchers from UIUC on reinforcement learning tuning methods for LLM agents.
    • Active Development: The team is actively working on enhancements including improved planning capabilities, standardized evaluation metrics, model adaptation, containerized deployment, and expanded example libraries.

    Technical Setup and Run Steps

    Installation

    Method 1: Using Conda

    Create and activate a new conda environment:

    conda create -n open_manus python=3.12
    conda activate open_manus

    Clone the repository:

    git clone https://github.com/mannaandpoem/OpenManus.git
    cd OpenManus

    Install dependencies:

    pip install -r requirements.txt

    Method 2: Using uv (Recommended)

    Install uv:

    curl -LsSf https://astral.sh/uv/install.sh | sh

    Clone the repository:

    git clone https://github.com/mannaandpoem/OpenManus.git
    cd OpenManus

    Create and activate a virtual environment:

    uv venv
    source .venv/bin/activate  # On Unix/macOS
    # Or on Windows:
    # .venv\Scripts\activate

    Install dependencies:

    uv pip install -r requirements.txt

    Configuration:

    Create a config.toml file in the config directory by copying the example:cp config/config.example.toml config/config.toml

    Edit config/config.toml to add your API keys and customize 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

    Running OpenManus

    After completing the installation and configuration steps, you can run OpenManus with a single command. The specific command may vary depending on your setup, but generally, you can execute:python main.py

    Then input your idea via the terminal when prompted.

    For the unstable version, you might need to use a different command as specified in the project documentation.