Getting started

You run one install command in your repo. After that, you ask your coding agent (Claude Code, Codex, or Cursor) for what you want, and it runs the Auremi CLI for you. Under each prompt you can open What the agent runs to see the commands.

Install the CLI and skill

From your repo’s folder, run the command for your agent. It installs the auremi CLI and adds the Auremi skill to the repo. You need Node.js 22 or newer.

curl -fsSL https://auremi.ai/install.sh | AUREMI_AGENT=claude sh

curl -fsSL https://auremi.ai/install.sh | AUREMI_AGENT=codex sh

curl -fsSL https://auremi.ai/install.sh | AUREMI_AGENT=cursor sh

Ask your agent to set up Auremi

Set up the repo

The agent creates a starter model with an example notebook, checks it, and pushes the notebook. To sign in, it asks you to run auremi login yourself and approve the link in your browser. It never asks for your credentials in chat.

What the agent runs

auremi login   # you run this one
auremi init --name my-model
auremi check
auremi notebook push --message "First notebook"

Start a training run

Train the model

Training needs a dataset. The CLI won’t pick one for you, so the agent asks which one to use. Training runs from your latest commit on GitHub, so the agent commits and pushes first.

What the agent runs

git add -A
git commit -m "Starter model"
git push
auremi dataset list
auremi train --dataset <datasetVersionId> --no-run
auremi train --dataset <datasetVersionId> --wait

Training runs on a training worker or on your own cloud account. To set one up, see Training workers. For every command, see CLI commands.

Get started

Guides

Reference

Getting started