Kubernetes fails to recover AI agents’ execution state

The author argues that while Kubernetes and recent runtime projects like Agent Sandbox and Agent Substrate successfully provide secure and isolated environments for AI agents, they fail to track execution history and state. Without a durable execution layer to record completed steps, restarted agents risk duplicating critical actions like payments or API calls after a failure. Combining sandboxing with durable execution infrastructure is essential for production agents to recover safely without repeating work. Open article →