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1

Create an account

Sign up for an account with Autonomy to create your new Cluster.
2

Install

Install autonomy command by running the following in your terminal.
curl -sSfL autonomy.computer/install | bash && . "$HOME/.autonomy/env"
3

Deploy your first agent

Ensure you have Docker installed and running on your workstation before running the autonomy command.
After that, create an empty directory and run autonomy command to enroll your workstation as an administrator of your newly created Cluster in Autonomy.
mkdir hello && cd hello && autonomy
This will generate a unique cryptographic identity for your workstation and store its secret keys in a vault. It will then ask you to authenticate with Autonomy to make your workstation’s new identity an administrator of your Cluster.Finally, the above command will download the code for a template hello app and create a production-ready deployment Zone in your Cluster on our serverless Runtime. Withing seconds, it will put your first AI Agent into production and you can immediately start interacting with it.
4

Chat with your agent

The hello app includes an interactive REPL for interacting with your agent:
Welcome to Autonomy 👋

You are connected to your agent - 25df35de/66a48b60
Ask it a question or give it a task.

Type ':help' or ':h' to see this message again.
Type ':quit' or ':q' to disconnect.

>
This agent is running on Autonomy’s serverless runtime.The REPL you access on your local machine runs in the cloud, and you connect to it over a secure & private link.
5

Ask the agent something

Type your instructions and press [ENTER] to interact with the agent:
> Who are you?

​
The generated code

Within the hello directory, Autonomy has created the following three files:
Generated Files
» tree

├── autonomy.yaml
└── images
    └── main
        ├── Dockerfile
        └── main.py
  • The autonomy.yaml configuration file defines how to deploy a Zone in your Cluster in Autonomy.
  • The images directory contains the source code of docker images that will be used to run containers in your Zone.
    • Inside images, there is a directory for the main image.
      • Dockerfile describe how the main image will be compiled.
      • main.py is the Python program that is run by the main image.
Let’s examine each file:
autonomy.yaml
name: example001
pods:
  - name: main-pod
    public: true
    containers:
      - name: main
        image: main
    portals:
      outlets:
        - to: localhost:7000
The autonomy.yaml configuration file defines how to deploy your Zone:
  • Create a Zone named 01 .
  • Create a Pod named main-podinside the 01 Zone.
  • Make the HTTP server, in the main container in this pod, public.
  • Run a main container using the main image.
  • Set up a portal outlet that will allow you to reach localhost:9000 in this pod.
images/main/Dockerfile
FROM ghcr.io/build-trust/autonomy-python
COPY . .
ENTRYPOINT ["python", "main.py"]
The Dockerfile bases the main image on the autonomy-python image which already contains the autonomy python package. The Dockerfile then copies the contents of the images/main directory into the image and sets main.py as the program to run when the container is started.
images/main/main.py
from autonomy import Agent, Model, Node, Repl


async def main(node):
  agent = await Agent.start(
    node=node,
    name="jack",
    instructions="You are Jack Sparrow",
    model=Model("claude-sonnet-4-v1")
  )
  await Repl.start(agent)


Node.start(main)
The main.py file:
  1. Turns your Python app into an Autonomy Node. An Autonomy Node in your Cluster can connect with and deliver messages to any other Autonomy Node in your Cluster that is running in Autonomy.
  2. After the Node is initialized, it invokes the main function defined in your main.py file. The main function starts an agent with specific instructions (“You are Jack Sparrow”).
  3. It then starts a REPL (interactive shell) server for that agent.
Output
.   Deploying zone hello in cluster 25df35de87aa441b88f22a6c2a830a17...

  ✔ Created a repository for the image main
  ✔ Built image main
  ✔ Pushed image main

  ✔ Deployed zone hello in cluster 25df35de87aa441b88f22a6c2a830a17

  ✔ Opened a portal to the outlet http on main-pod from tcp://localhost:32100
  ✔ Opened a portal to the outlet logs on logs-pod from tcp://localhost:32101
  ✔ Opened a portal to the outlet main-pod on main-pod from tcp://localhost:7000

    ────────────────────────────────────────────────
    The http server on the main-pod is available at:
    https://a9eb812238f753132652ae09963a05e9-example001.cluster.autonomy.computer
    http://localhost:32100

    Logs for this zone are available at:
    http://localhost:32101
When you run autonomy:
  1. It builds the code in images/main into a container image and pushes that image to a container registry available to your Zone. It then deploys the Zone into your Cluster, in Autonomy, based on configuration that is specified above in autonomy.yaml.
  2. Next, it opens a portal inlet on your workstation that connects to the outlet in the main-pod . This creates a private link to the REPL server in your main container and makes that server available on a local port on your workstation.
  3. Finally, it connects a REPL client to the REPL server through this private link.
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