As models and harnesses improve, agents are taking on increasingly complex tasks that can run for hours or even days. But as we push agents to do more, this has surfaced a new operational problem: long-running agent workflows are fragile and incredibly hard to manage reliably and efficiently in production. Today, we’re introducing Agent Executor, Google’s open-source runtime standard for agent execution, resumption, and distributed deployment.