Sandbox
Createdpottekkat
Executes code and configurations from Large Language Models (LLMs) in secure, isolated Docker containers.
About
Sandbox provides a secure environment for LLMs to execute code by leveraging Docker containers and the Model Context Protocol (MCP). It addresses the risks associated with running potentially untested code generated by LLMs directly on a user's machine. By offering an easy-to-use execution environment configured through a local, AI-native MCP server, Sandbox enables LLMs to experiment and run code safely.
Key Features
- 9 GitHub stars
- Runs code in isolated Docker containers.
- Allows creation of custom sandboxes with Dockerfiles and configuration files.
- Provides strict security and network constraints for sandboxed environments.
- Supports multiple sandbox environments (shell, Python, JavaScript, Go, network-tools).
- Integrates with LLMs via the Model Context Protocol (MCP).
Use Cases
- Safely executing code generated by LLMs.
- Providing a controlled environment for LLMs to interact with system resources.
- Experimenting with different configurations without affecting the host system.
