Docker introduced Docker Sandboxes, disposable and isolated environments designed to run AI agents safely and unattended. Available for macOS and Windows, these sandboxes support agents like Claude Code, Gemini CLI, Copilot CLI, Codex, OpenCode, and Kiro. Users can install the tool via Homebrew on macOS or Winget on Windows, enabling quick setup and execution starting this year, according to docker.com.
The sandboxes allow AI agents to operate autonomously while maintaining strict control over filesystem and network access. This isolation prevents agents from causing unintended changes or security risks. Docker demonstrated the sandboxes running tasks such as installing packages, running Docker commands, modifying configurations, and executing unattended processes, all disposable with a single command. Documentation and demos are available on Docker's official site.
This development addresses the challenge of balancing AI agent autonomy with operational safety. By providing a controlled environment, Docker Sandboxes enable faster workflows without compromising security. The feature aligns with growing demand for secure AI tooling as agents become more integrated into software development and automation. It positions Docker alongside other AI infrastructure providers focusing on safe, scalable AI deployment.
Docker’s documentation on AI sandboxes is accessible at docs.docker.com/ai/sandboxes, where users can find installation instructions and usage guides. The launch of Docker Sandboxes marks a concrete step toward safer AI agent management in local development environments.