AI Manus is a general-purpose AI agent system designed for users who want to run various tools and operations within a secure sandbox environment. It provides a framework for interacting with LLMs and executing tasks like web browsing and code generation, offering a flexible and extensible agent experience.

How It Works

The system operates by creating isolated Ubuntu Docker sandboxes for each agent session. These sandboxes are equipped with tools like a headless Chrome browser and API services for file and shell access. User interactions are managed via a web frontend, a backend server, and Server-Sent Events (SSE) for real-time feedback. The backend forwards user messages to a PlanAct Agent, which orchestrates tool usage within the sandbox to fulfill requests.

Quick Start & Requirements

• Install/Run: Use Docker Compose: docker compose up -d
• Prerequisites: Docker 20.10+, OpenAI-compatible LLM with FunctionCall and JSON output support (Deepseek, GPT models recommended).
• Setup: Estimated setup time is minimal if Docker is installed.
• Access: Visit http://localhost:5173 in your browser.
• Docs: AI Manus English

Highlighted Details

• Supports running tools like web browsing (via VNC and websockify) and code execution within isolated Docker sandboxes.
• Leverages Docker's docker.sock for sandbox management, enabling secure execution of arbitrary code.
• Utilizes Server-Sent Events (SSE) for real-time communication of agent progress and results back to the web interface.
• Configurable via environment variables for API endpoints, model selection, and sandbox behavior.

Maintenance & Community

The project is maintained by Simpleyyt. Further community or roadmap information is not detailed in the README.

Licensing & Compatibility

The README does not explicitly state a license. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The project relies heavily on Docker and its socket, which requires careful security consideration. The README mentions that sandbox containers are started with exit 0 in the docker-compose.yml to ensure the image is pulled, which might be confusing for new users. No specific LLM providers beyond OpenAI compatibility are explicitly listed as tested.