A new tool called Agents Sandbox has been introduced to address the security concerns and inefficiencies associated with running AI agents like Claude Code or Codex on local machines or remote servers. This solution allows users to run these agents inside isolated Docker containers without changing their workflow, ensuring that the host machine remains untouched.
Key features of Agents Sandbox include:
- Isolation: The sandbox is fully isolated from the host system and does not allow any network access by default.
- Security Model: Ensures no data leaks or unauthorized access between the sandboxed environment and the local machine.
- Cost Efficiency: Utilizes existing subscriptions for AI agents, eliminating additional infrastructure costs typically associated with cloud-based sandboxes.
- Ease of Use: Requires only a Docker installation and one command to run an agent inside a sandbox.
Real-world scenarios demonstrate how Agents Sandbox can handle tasks at full speed without interruptions from confirmation dialogs, support multiple isolated instances in parallel, and manage ephemeral lifecycles where the sandbox self-destructs upon task completion.
Users no longer need dedicated hardware like a Mac Mini or incur cloud server costs for running AI agents securely and efficiently on their local machines.
Read the full article at DEV Community
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