Agent Executor, Google's distributed Agent Runtime¶

Ch01.411 Agent Executor, Google's distributed Agent Runtime¶

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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
Today, we're introducing Agent Executor, Google's open-source runtime standard for agent execution, resumption, an
- Durable execution: Long-running execution requires the ability to resume after outages or agentic interruptions such as human-in-the-loop (HIT
- Secure isolation: Agent Executor isolates components in secure-by-design sandboxes to prevent harmful side effects and help ensure malicious a
- Session consistency:In distributed agent workflows, multiple components may attempt to update shared session state at the same time. Agent Exe
- Connection recovery: In long-running agentic execution, clients may disconnect for many reasons, including network outages. Agent Executor let
- Trajectory branching:Checkpoints let you branch an agentic trajectory (its decision or workflow path) at any point, allowing agents to test or
In this blog, we'll share more about Agent Executor and how you can get started.

随着 LLM 和 Agent 框架（harness）能力的提升，Agent 正在承担越来越复杂的任务——这类任务可能持续数小时甚至数天。然而，这种长时运行特性暴露了传统软件架构的根本性缺陷：传统的请求-响应模型无法优雅处理中断恢复、状态一致性和分布式协作等问题。

Agent Executor 的设计围绕五大原生能力展开：

这些能力形成一个完整的长时运行 Agent 生命周期管理体系。

Agent Executor 明确走 harness-agnostic 路线，支持多种 Agent 构建框架：

Google 自研: Antigravity（Gemini 的 state-of-the-art harness）、Deep Research Agent
Google 托管: Managed Agents in Gemini API
社区框架: LangChain/LangGraph、ADK（Agent Development Kit）
开放协议: A2A（Agent2Agent Protocol）

这种兼容性策略有效降低了用户迁移成本，避免了厂商锁定（vendor lock-in），同时扩大了潜在用户群体。

与 Agent Executor 同时发布的 Agent Substrate 是另一个关键组件。它解决了标准 Kubernetes 在处理 Agent 工作负载时的局限性：

问题: 标准 K8s 面向 long-running services 设计，无法高效处理"数百万 sub-second tool calls"的 Agent 特有通信模式
方案: 在 K8s 之上引入新的控制平面，实现 Agent 的实时调度（on/off compute capacity），兼顾低延迟和高吞吐
优势: 保留 K8s 生态（declarative config、horizontal scaling），同时绕过其控制平面瓶颈

两者协同：Agent Substrate 提供底层调度，Agent Executor 提供运行时抽象。

Google 通过 Agent Executor 切入的是 Agent Runtime 赛道——这是一个介于上层 Agent 框架和底层基础设施之间的中间层。Google 的优势在于：

但竞争也很激烈：AWS 有 Bedrock Agent，Microsoft 有 AutoGen，Anthropic 有 Claude Code/Agent SDK。