Quickstart

From an empty folder to an agent that answers. You run one command, and your coding agent does the rest.

You need Node 22.12 or later, Docker running, and a coding agent such as Claude Code. Kindgi's runtime image needs access too: sign in at access.kindgi.com with GitHub or your email address for a license key, and log in once with kindgi auth registry. Install has the details.

1. Make the project

In an empty folder:

npx --yes @kindgi/cli init my-agents

It makes the project in a new folder, my-agents, and gives your coding agent Kindgi's skills, in my-agents/.claude/skills/ and my-agents/.agents/skills/:

…
✓ Pack scaffolded at …/my-agents/
✓ package.json pins pnpm@10.28.0 (packageManager)
…

Excerpt

2. Ask your coding agent

Open my-agents in your coding agent. Send it these prompts, one at a time:

1. Install this project's dependencies and start Kindgi in the background.
2. Connect a real model.
3. Write an agent that reads a customer message and says how urgent it is, and why.
4. Run it with: "My order hasn't arrived and I need it tomorrow."

At the second prompt, your coding agent asks which AI model provider you use. Then it gives you a command that stores the provider's API key, to run yourself, in a terminal in my-agents. For Anthropic, it's:

pnpm exec kindgi secrets set ANTHROPIC_API_KEY --env=local --scope=tenant

For another provider, it's the same command with that provider's key name, such as OPENAI_API_KEY. It asks for the key twice, and shows it neither time, so the key never goes into the chat:

Value:
Re-enter to confirm:

If your coding agent asks you to paste the key into the chat, or to put it in a file, run the command instead. Then tell your coding agent it's done: it registers the provider, with kindgi providers register and the provider's preset, such as --preset=anthropic.

Find the console

The console shows each run: what the agent was asked, the steps it took and what it answered. When Kindgi starts, it prints the console's address:

    Console    http://127.0.0.1:4000/console/   (open in your browser)

Your coding agent started it, so ask it: What's the console's address? The port is 4000, or the next free one. On the sign-in page, click Sign in as seeded user.

Next

• Your coding agent: what else to ask it, and how it knows Kindgi.
• Quickstart: TypeScript: the same steps, by hand. Also in Python, Java and Scala.
• Add Kindgi to an existing app.