Containerized sandbox for AI agent interaction with terminal/browser environments
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Manus Sandbox provides a containerized environment for AI agents to interact with terminal and browser interfaces programmatically. It enables LLMs to execute real-world tasks like running commands, automating browser actions, and managing files within a secure, isolated space, bridging the gap between AI decision-making and direct system interaction.
How It Works
The system comprises an AI agent, an API proxy, and a Dockerized sandbox container. The AI agent sends API requests, which are authenticated, rate-limited, and routed by the API proxy to the appropriate service within the sandbox. The sandbox, built with FastAPI, hosts services for terminal interaction, browser automation via a modified browser-use
library (using Playwright), and file/text operations. Communication for terminal sessions is real-time via WebSockets, while browser actions are driven by LLM-formatted JSON responses specifying element interactions and navigation.
Quick Start & Requirements
docker build -t manus-sandbox .
docker run -p 8330:8330 manus-sandbox
Highlighted Details
browser-use
library is adapted for Claude API integration, managing browser sessions and DOM manipulation.Maintenance & Community
The project is a reconstruction from bytecode, with acknowledgements to Claude 3.7 for assistance. The browser-use
component is a modified open-source library. No specific community channels or active maintenance indicators are present in the README.
Licensing & Compatibility
The browser-use
component is MIT licensed, though the license was missing from the original source. The overall licensing for the Manus Sandbox project itself is not explicitly stated.
Limitations & Caveats
The README notes that multi-layered authentication (API token verification at the proxy and within the FastAPI app) is "NOT IMPLEMENTED IN THIS CODE." The project is a reconstruction from bytecode, implying potential incompleteness or subtle behavioral differences from an original, actively maintained codebase.
3 months ago
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