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Python

Provides a self-hosted shell and Python interpreter, enabling large language models to interact with code and manage files.

About

Designed to empower large language models with the ability to directly read, modify, and execute code within a secure, self-hosted environment. This tool runs as a containerized service, offering both a shell prompt and a Python interpreter, allowing LLMs to manage files, run scripts, and install necessary dependencies locally without external APIs or additional machines. It is specifically structured for easy integration with platforms like Librechat, bringing robust code interaction capabilities to AI agents.

Key Features

  • File and directory read/write capabilities
  • Python code execution
  • Dependency installation (uv or venv)
  • Self-hosted shell prompt
  • Containerized for easy deployment on home servers
  • 0 GitHub stars

Use Cases

  • Enabling LLMs to read, modify, and update code directly
  • Providing a local and private execution environment for AI agents
  • Integrating code execution and file management into Librechat-based LLM workflows