argo

ARGO is an open-source AI Agent platform designed to empower developers with the capabilities of Local Manus right on their desktops. By providing one-click model downloads and seamless integration with closed LLMs, ARGO facilitates autonomous thinking and task planning, ensuring that 100% of your data remains local. This makes it an ideal tool for deep research applications, whether you are working on Windows, Mac, or Docker environments.

Once connected to the ARGO server, you can interact using its streamlined command interface to manage AI models and execute tasks. You can initiate model downloads with a single command, and the server supports queries that involve task planning and knowledge base searches. For optimal results, focus on prompts that require localized data processing or autonomous decision-making, as ARGO is tailored for such use cases.

Prerequisites

Before you install ARGO, ensure you have the following prerequisites:

• Docker (if using Docker)
• A compatible operating system (Windows or Mac)

Option A: Quick Start with NPX

If you prefer a quick start, you can use the following command with npx (note that there is no specified NPM package):

npx -y xark-argo/argo

Option B: Global Install Alternative

Alternatively, you can clone the repository from GitHub and install it globally:

git clone https://github.com/xark-argo/argo.git  
cd argo  
npm install -g

(Note: Make sure Node.js is installed on your system for the global install.)

When configuring ARGO, ensure that your environment allows for offline access to maximize its capabilities, especially for RAG knowledge bases. You may need to set up specific environment variables to manage local storage paths efficiently. Common pitfalls include failing to allocate sufficient disk space for model downloads, so monitor your available storage closely.