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AI agents and automation

ax

by google

AX is a Google-built orchestrator that runs AI agent tasks in isolated sandboxes on a Kubernetes cluster, using YAML files to describe each task, its workspace and its model. It is meant for teams that need to run and monitor many autonomous agents at scale.

Worth a lookEstablished, with a few things to check (listed below).

View on GitHubProject website

Stars
14.4k
Licence
Apache-2.0
Runs on
A small server
Setup
Technical
Language
Go
Age
215 days

What you can do with it

  • Run an AI coding agent in an isolated sandbox with a pre-loaded Git repo and instructions
  • Pause an idle agent and resume it later from the same state
  • Open a shell inside a running agent to see what it is doing

Make money with it

A freelance DevOps engineer could set up and manage sandboxed agent infrastructure for companies that want to run AI agents safely.

An idea, not financial advice. Check the licence before charging for anything built on it.

Ways a business could use it

  • Run automated coding or maintenance agents on your own repositories in a safe, isolated environment
  • Offer a managed agent-hosting setup for clients while keeping each client's workloads separate

Can you use it commercially?

Free to use, change and sell, including in paid products. Keep the copyright notice.

Not legal advice. Read the project's licence file before building a product on it.

Getting it running

You need a Kubernetes cluster with Agent Substrate installed, then install the CLI with Go, build and push container images, and deploy the control plane with make.

Follow the official instructions in the project README.

Things to check

  • Heavy development with major breaking changes expected before a stable release
  • Requires a Kubernetes cluster and Agent Substrate, which is too much for most small setups
  • Agents need model API access, which usually costs money

Who's talking about it

Checked 01 Nov 2026. Summary drafted by AI from the project's README.

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