Agent Executor, Google’s distributed Agent Runtime
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. Based on what we’ve learned from solving these challenges internally, we’ve built Agent Executor to have the following native capabilities:
- Durable execution: Long-running execution requires the ability to resume after outages or agentic interruptions such as human-in-the-loop (HITL) confirmations. Agent Executor provides this backend resilience automatically for any actor (e.g., an agent, agent harness, skill, tool, or sandbox) through its event log and snapshotting.
- Secure isolation: Agent Executor isolates components in secure-by-design sandboxes to prevent harmful side effects and help ensure malicious activity...
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