Infrastructure · Integration
DockerAGNT

AI agents for Docker

Containers — including the one AGNT itself can run in. AGNT connects to Docker so agents can read what happens there, reason about it, and act — with a receipt for every run.

Docker and AGNT, in brief

What it doesLets an AGNT agent read from and act in Docker.
Connects withBearer — held in the local vault
AGNT nodecustom-api, or the zapier-action bridge
Runs whenA container exits
Typical build timeTen minutes
Where data goesNowhere by default — AGNT runs on your machine and credentials never leave it.

What you can automate

Reacts when…

  • a container exits
  • an image updates

Agents can…

  • run containers as workflow steps
  • collect logs and status

Teams use it for

  • heavy jobs isolated in containers
  • self-hosted AGNT in your stack
  • build steps orchestrated by agents

Copy this Docker workflow

Design goal for Docker: heavy jobs isolated in containers; self-hosted AGNT in your stack; build steps orchestrated by agents. The template below supplies configurable nodes, not the complete logic for those goals.

Use this Docker setup template to arrange the schedule, input review and API operation. Configure the account-specific fields and add your own decision and approval controls before activation.

Docker workflow: run on a schedule → review source and draft → call the docker api TRIGGER trigger-timer Run on a schedule Configure activation ACTION agnt-agent Review source and draft Configure inputs ACTION custom-api Call the Docker API Configure inputs
Configuration example for Docker. API and model calls may send data to your selected providers.
Docker — read, decide, actSetup template · configure before activation

This is a schema-checked starting point, not an end-to-end tested automation. Replace every CONFIGURE_ value, choose the operations you intend, connect credentials and map source outputs into later inputs. An edge orders steps; it does not supply a condition, an approval gate or a field mapping. Add and test those controls explicitly before any write. Cloud APIs and model providers may receive data. Keep the workflow inactive until tested with fixtures.

{
  "id": "743b33af-7756-4dee-a099-75af91be87a4",
  "name": "Docker — read, decide, act",
  "nodes": [
    {
      "id": "07ae396f-e581-44bb-ace3-bc42068c6d1a",
      "text": "Run on a schedule",
      "x": 512,
      "y": 144,
      "isEditing": false,
      "type": "trigger-timer",
      "icon": "clock",
      "category": "trigger",
      "isSelected": false,
      "parameters": {
        "fireOnStart": "No",
        "scheduleType": "Interval",
        "schedule": "Every 15 Minutes"
      },
      "description": "Setup template for Timer Trigger. This trigger node fires the workflow at specified intervals or at a specific time. Configure credentials, inputs and output mapping before use.",
      "error": null,
      "isActive": false,
      "output": null,
      "outputs": {}
    },
    {
      "id": "ae875636-30cf-418c-a6d3-028880db85fc",
      "text": "Review source and draft",
      "x": 512,
      "y": 336,
      "isEditing": false,
      "type": "agnt-agent",
      "icon": "agnt",
      "category": "action",
      "isSelected": false,
      "parameters": {
        "agentId": "CONFIGURE_AGENTID",
        "message": "Decide what needs to happen in Docker. Explain your reasoning.\nSource input: CONFIGURE_SOURCE_INPUT. Produce a reviewable draft only; do not take external actions."
      },
      "description": "Setup template for Agent Chat. Chat with an AI agent from your agent library. Select an agent and send messages to interact with it within your workflow. Configure credentials, inputs and output mapping before use.",
      "error": null,
      "isActive": false,
      "output": null,
      "outputs": {}
    },
    {
      "id": "e9b69f0a-b641-4aab-aa3d-348dd7a4232a",
      "text": "Call the Docker API",
      "x": 512,
      "y": 528,
      "isEditing": false,
      "type": "custom-api",
      "icon": "connect",
      "category": "action",
      "isSelected": false,
      "parameters": {
        "url": "https://hub.docker.com/v2/repositories/{namespace}/{repository}/tags",
        "method": "GET",
        "authType": "None",
        "headers": "{}",
        "query": ""
      },
      "description": "Setup template for Custom API Request. This action node makes a custom API request to any endpoint with configurable method, headers, and authentication. Configure credentials, inputs and output mapping before use.",
      "error": null,
      "isActive": false,
      "output": null,
      "outputs": {}
    }
  ],
  "edges": [
    {
      "id": "f5aa9254-b1d8-45ea-a934-80e4e78cf358",
      "start": {
        "id": "07ae396f-e581-44bb-ace3-bc42068c6d1a",
        "type": "output"
      },
      "end": {
        "id": "ae875636-30cf-418c-a6d3-028880db85fc",
        "type": "input"
      },
      "startX": 800,
      "startY": 168,
      "endX": 512,
      "endY": 360
    },
    {
      "id": "65cb4b26-c452-40f6-a9b1-f3f452069240",
      "start": {
        "id": "ae875636-30cf-418c-a6d3-028880db85fc",
        "type": "output"
      },
      "end": {
        "id": "e9b69f0a-b641-4aab-aa3d-348dd7a4232a",
        "type": "input"
      },
      "startX": 800,
      "startY": 360,
      "endX": 512,
      "endY": 552
    }
  ],
  "zoomLevel": 1,
  "canvasOffsetX": 0,
  "canvasOffsetY": 0,
  "isTinyNodeMode": false
}

Configure Custom API Request

This action node makes a custom API request to any endpoint with configurable method, headers, and authentication.

  • url — The URL of the API endpoint Current example: https://hub.docker.com/v2/repositories/{namespace}/{repository}/tags.
  • method — The HTTP method for the request Current example: GET.
  • authType — The type of authentication Current example: None.
  • query — Query parameters for the request (e.g., 'key1=value1&key2=value2') Current example: .
  • headers — Optional headers for the request. e.g., {"Content-Type": "application/json"} Current example: {}.

Build this Docker workflow

AGNT Community Core is free and runs on your own machine. Nothing about this workflow leaves it.

Isolation for the heavy steps

Some workflow steps should not run in the same process as everything else: untrusted code, heavy builds, jobs with awkward dependencies. Running them as containers gives a clean boundary and a predictable environment, then returns logs and status like any other step.

AGNT in your own stack

The relationship runs both ways — AGNT ships images for headless self-hosting, which is the usual shape for scheduled and webhook-triggered work on a server you control.

Docker without a first-party node

Reaching Docker means one custom-api node rather than a purpose-built one. The endpoint and its bearer credentials are all it needs, and the zapier-action bridge covers it too if you would rather not hand-roll the request.

What you needValue
Endpointhttps://hub.docker.com/v2/repositories/{namespace}/{repository}/tags
MethodGET
AuthenticationBearer
HeaderAuthorization: Bearer {hubToken}
ReferenceDocker API documentation

Worth knowing: The Hub API and the local Docker Engine socket are unrelated APIs — this is the registry one.

Where Docker integrations usually go wrong

The Hub API and the local Docker Engine socket are unrelated APIs — this is the registry one.

That single detail accounts for most of the time people lose on a first Docker build. With it out of the way the endpoint above is all you need, and the workflow below wires it up.

Connect Docker in two minutes

  1. Download AGNT Community Core — free, local-first, no account needed to run.
  2. Connects to your local instance directly — no cloud account required, nothing leaves your machine.
  3. Drop the Docker node into a workflow or hand it to an agent — the first run produces a receipt you can read line by line.

Docker + AGNT — common questions

Can a workflow run a container as a step?

Yes, with logs and exit status returned to the run.

Can AGNT itself run in Docker?

Yes — headless self-hosting is a supported deployment.

Why isolate a step?

Dependency conflicts, heavy resource use, or code you would rather not run in-process.

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