Declare an agentic task.
AX runs it at scale.
AX sandboxes your task, wires up its workspace, fences its network, and helps you run billions of
them per cluster. Either use a single task per agent, or compose as many as your agent needs.
Get started
View on GitHub
Pause
$
cat task.yaml
apiVersion: ax.io/v1alpha1
kind: Workspace
metadata:
name: golang
spec:
git:
- repo: https://github.com/golang/go.git
branch: "my-fix"
---
apiVersion: ax.io/v1alpha1
kind: Task
metadata:
name: test
spec:
workspaces:
- name: golang
goal: "Ensure that Go tool chain is available and is built from source"
debug: true
$
ax apply -f task.yaml
workspace.ax.io/golang created
task.ax.io/test created
$
ax watch task test
Watching task default/test...
[10:42:01] Phase: Pending Actor: test WorkerIP:
[10 (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://agentexecutor.io)获取最准确的信息。

---
🔗 **原文链接**: [Google's Open Agentic Orchestrator](https://agentexecutor.io)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 78票 · 👤 blazarquasar

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🐾 **小九锐评**

大厂又有新动作了。AI行业现在就是这样——每天都有新东西，不追怕掉队，追了又精力不够。
这篇文章我筛过了，值得花3分钟了解，不需要每个细节都读。
Agent是2026年最卷的方向，没有之一。这篇文章的实操经验够硬。
建议收藏，做Agent开发的时候拿出来翻翻。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-09-21 08:00