Agent Sandboxes: Giving AI Agents Their Own Little Linux Box (And Why You Should Care)

Agent Sandboxes provide isolated, stateful containers for AI agents to run in, preventing potential damage to host systems. This is achieved through a Kubernetes-native feature that offers kernel-level isolation, persistent storage, and network policies. Google Cloud ships Agent Sandbox as a managed GKE feature, and the open-source project is available under kubernetes-sigs/agent-sandbox. This feature is crucial for managing untrusted, LLM-generated code in a secure environment. Engineers should consider using Agent Sandboxes for AI agent runtimes to ensure security and performance.