Run Claude Code in isolated Docker containers

Run Claude Code in Isolated Docker Containers

This tool provides a secure and efficient environment for developers to execute Claude Code within isolated Docker containers. Designed for ease of use, it simplifies the setup process, particularly on macOS, while ensuring project persistence and robust isolation. This is essential for testing, development, and deployment workflows involving AI code generation and execution.

What it Does

The primary function of this tool is to create and manage Docker containers specifically configured to run Claude Code. It abstracts away the complexities of containerization, allowing developers to focus on their AI code. By leveraging Docker, it guarantees that Claude Code runs in a consistent, isolated environment, preventing conflicts with local system dependencies and ensuring reproducible results. The persistent project feature means your work is saved between container sessions, streamlining iterative development.

Key Features

• Isolated Execution: Claude Code runs within a sandboxed Docker container, enhancing security and preventing interference with your host system.
• Persistent Projects: Your project files and data are saved, allowing you to resume work seamlessly across multiple sessions.
• Simplified macOS Setup: The tool streamlines the installation and configuration process for macOS users, reducing setup friction.
• Reproducible Environments: Docker ensures that the execution environment is consistent, leading to reliable and reproducible outcomes for your AI code.
• Source Code Available: The project is open-source, hosted on GitHub, allowing for transparency and community contributions.

Who it's For

This tool is intended for AI developers, machine learning engineers, and anyone working with Claude Code who requires a controlled, isolated, and reproducible execution environment. It is particularly beneficial for those who:

• Need to test AI-generated code without risking their local development setup.
• Are developing on macOS and want a straightforward way to integrate Claude Code into their workflow.
• Require consistent and repeatable results for their AI projects.
• Value the security and isolation provided by containerization.