<h1>
<img src="assets/axel.svg" width="70" align="absmiddle" alt="AX axolotl">
AX
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> [!WARNING]
> AX and several of its features are in heavy development. We are actively
> refining our core concepts, protocols, and specifications, and will likely
> introduce major breaking changes prior to a stable release.
**Declare an agentic task with workspaces and model specifications. AX sandboxes it, wires up its workspace, and helps running it at scale.**
AX is a highly efficient, declarative orchestrator to run millions of autonomous agent workloads in a cluster. It runs on top of [Agent Substrate](https://github.com/agent-substrate/substrate) for sandboxed execution and is built to run millions of tasks per cluster. If you have used Kubernetes, `ax` will feel similar.
```yaml
# task.yaml
apiVersion: ax.io/v1alpha1
kind: Workspace
metadata:
name: golang
spec:
git:
- repo: https://github.com/golang/go.git
branch: "my-fix"
files:
- path: "AGENTS.md"
content: |
- Run `go test` to ensure that tests are passing.
- Do not modify the public API.
---
apiVersion: ax.io/v1alpha1
kind: Task
metadata:
name: test
spec:
image: "ghcr.io/my-org/my-coding-agent@sha256:..."
config:
goal: "Fix what's broken please."
workspace:
name: golang
debug: true # enables `ax ssh`
```
Then apply it, check on it, and look over the agent's shoulder:
```bash
ax apply -f task.yaml
ax describe task test
ax ssh test -- ls -al /workspace
```
## Why?
Agents are a new kind of workload. They are neither stateless microservices nor run-to-completion batch jobs. They accumulate state, need strict isolation, call out to model APIs and tool servers, and can burn money in a loop if nobody is watching. AX gives you three small primitives that handle all of that declaratively:
| You want to... | AX gives you |
|---|---|
| Run untrusted agent code in an isolated sandbox with CPU/memory limits | **`Task`** |
| Pre-wire Git repos, MCP servers, and skill packages so every agent starts warm | **`Workspace`** |
| Configure which LLM the platform itself uses, with credentials from a Kubernetes secret | **`Model`** |
| Pause an idle agent and pick up exactly where it left off | `ax suspend` / `ax resume` |
| Shell into a running agent to see what it is doing | `ax ssh` |
Everything is expressed as `ax.io/v1alpha1` manifests and applied with a single command.
## Quick start
### Prerequisites
AX schedules every task as a sandboxed actor on [Agent Substrate](https://github.com/agent-substrate/substrate), so Substrate must be running in your cluster before you deploy AX. You need:
- A Kubernetes cluster with **Agent Substrate** installed (see below)
- [Go](https://go.dev/doc/install) and `kubectl`
- [Podman](https://podman.io/) or [Docker](https://docs.docker.com/get-docker/), authenticated to a container registry your cluster can pull from
To install Agent Substrate, follow the instructions in the [Substrate README](https://github.com/agent-substrate/substrate#readme). Substrate lands in the `ate-system` namespace and exposes its Control API at `api.ate-system.svc.cluster.local:443`, which is where AX expects to find it. Verify it is up before moving on:
```bash
kubectl get svc api -n ate-system
```
### 1. Install the CLI
```bash
go install github.com/google/ax/cmd/ax@latest
```
This puts the `ax` binary in `$(go env GOPATH)/bin`. Make sure that directory is on your `PATH`.
### 2. Build and push the images
Point `AX_IMAGE_REPO` at your registry, then build the `ax-server` and `ax-task-runner` images and push them to it:
```bash
export AX_IMAGE_REPO=<your-registry> # e.g. gcr.io/my-project
make images
```
### 3. Deploy the control plane
With the [prerequisites](#prerequisites) in place — most importantly a reachable Agent Substrate Control API — deploy the AX control plane:
```bash
make deploy
```
This deploys PostgreSQL and the `ax-server` image you just pushed, configured to use your `ax-task-runner` image for tasks that do not set `spec.image`. Everything lands in the `ax-system` namespace.
### 4. Run your first task
```bash
ax apply -f examples/simple.yaml # the smallest useful Task
ax get tasks
# NAME ATESPACE PHASE ACTOR WORKER-IP AGE
# simple-task default Running simple-task 10.20.3.67 1m
ax ssh simple-task -- ls -la /workspace # poke around inside the sandbox
ax suspend task simple-task # checkpoint and pause
ax resume task simple-task # pick up where it left off
```
Want to see the whole lifecycle end to end? Run [`./demo.sh`](demo.sh). It applies a custom workspace, waits for readiness, runs commands over `ax ssh`, and suspends the task.
## Documentation
| Guide | Read it to... |
|---|---|
| [Concepts](docs/concepts.md) | Learn what a `Task`, `Workspace`, and `Model` each do, and how a task moves through phases and conditions. |
| [Manifests](docs/manifests.md) | Write your own YAML, with an annotated example of every kind. |
| [Sandbox](docs/sandbox.md) | See what the runner does on boot and what your command can rely on: metadata server, guest services, environment. |
| [Runners](docs/runner.md) | Understand the contract between the control plane and the task container, and build your own runner image to replace the default. |
| [Networking](docs/networking.md) | Reach a running task through the atenet router from the cluster, your laptop, or a gRPC client. |
| [Architecture](DESIGN.md) | Understand how the control plane fits together, plus the [API reference](DESIGN.md#api-reference). |
| [Development](docs/development.md) | Build, test, and ship changes to AX itself. |
| [Roadmap](docs/roadmap.md) | See planned milestones across core specs, actor architecture, agentic environments, and governance. |
## CLI usage
`ax` talks to the control plane over gRPC. It is deliberately `kubectl`-shaped: `apply`, `get`, `describe`, `delete`, plus a few agent-specific verbs.
### Everyday commands
```bash
# Apply anything (multi-document YAML, file or stdin)
ax apply -f examples/simple.yaml
# Tasks
ax get tasks # list
ax get tasks -a my-atespace # list in another atespace
ax get task task123 # full spec + live status as YAML
ax describe task task123 # human-readable detail
ax suspend task task123 # checkpoint actor state and pause
ax resume task task123 # resume a suspended task
ax delete task task123
# Shell into the running sandbox
ax ssh task123 # interactive shell (task needs spec.debug: true)
ax ssh task123 -- ls -la /workspace # one-off command
ax ssh task123 -- python3 main.py
# Workspaces and models follow the same pattern
ax get workspaces
# NAME ATESPACE GIT-REPOS MCP-SERVERS
# default-workspace default 1 1
ax describe workspace default-workspace
ax delete workspace default-workspace
ax get models
# NAME ATESPACE PROVIDER MODEL
# default-model default google gemini-3.8-flash
ax describe model default-model
ax delete model default-model
# Connection plumbing
ax ctx # active kube context and how ax is reaching the control plane
ax tunnel list # background tunnels (state lives in ~/.ax/tunnels)
ax tunnel stop
ax version
```
### Works with `kubectx`
`ax` follows your active Kubernetes context. Switch clusters and `ax` resolves and tunnels to that cluster's control plane in the background.
```bash
kubectx staging-cluster
ax get tasks
kubectx prod-cluster
ax get tasks
# Or target a context without switching
ax --context=dev-cluster get tasks
```
### Global flags
| Flag | Description | Default |
|---|---|---|
| `-a`, `--atespace` | Atespace scope for the command | `default` |
| `-n`, `--namespace` | Kubernetes namespace where AX is installed | `ax-system` |
| `--context` | Kubernetes context to target | active `kubectx` / `current-context` |
| `--server` | Control plane address, bypassing auto-detection | derived from kube context, or `$AX_SERVER` |
## License
Apache License 2.0. See [LICENSE](LICENSE) for details.