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Data eXplore : Data Science, ML, Big Data, LLMs and AI Security Data eXplore : Data Science, ML, Big Data, LLMs and AI Security @dataxplore · 586 subscribers
Post #1686 87
A unified sandbox environment for developing AI agents combines a browser, terminal, file system, VS Code and Jupyter into a single Docker container ready-to-use.

🟢 Features:
All components work with a shared file system: a file downloaded in the browser is immediately available in the terminal or code.

The container also comes pre-installed with several MCP servers, allowing the AI Agent to directly call various capabilities without additional complex environment setup.

There is support for the Chrome DevTools Protocol for programmatic browser control, as well as built-in port forwarding and service monitoring for convenient previewing and debugging of web applications.


SDKs are provided for Python, TypeScript, and Golang, with one-click launch via Docker.

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