Quickstart

Get your first AI agent deployed in under 5 minutes.

Installs the CLI from npm, lists the available templates, creates an openclaw agent named cli-demo, checks its status, lists all agents, and sends it a first chat message. Recorded against production.

1. Install the CLI

npm install -g maritime-cli

2. Authenticate

maritime login

Don't have an account yet? Sign up directly from the CLI:

maritime signup

3. Browse templates

See what agent templates are available:

maritime templates

# Output:
# NAME                FRAMEWORK            DESCRIPTION
# OpenClaw Agent      openclaw             Autonomous AI agent with 100+ skills.
# OpenClaw Identity   openclaw_identity    OpenClaw with phone + email via Inkbox.
# OpenClaw Browser    openclaw_browser     OpenClaw with Playwright MCP browser control.
# Hermes Agent        hermes               Self-improving Python agent with memory.
# Hermes Identity     hermes_identity      Hermes with phone + email via Inkbox.
# ZeroClaw Agent      zeroclaw             Ultra-lightweight Rust agent.

The New agent dialog in the Maritime dashboard showing the template picker — The same templates power the dashboard's New agent flow. The CLI and the dashboard create identical agents.

4. Create an agent

Create a new agent from a template. You can pass options inline or follow the interactive prompts:

maritime create my-agent --template openclaw

# Or run without arguments and follow the prompts:
# maritime create

The same create flow in the dashboard: pick the OpenClaw template, name the agent, and watch the deploy pipeline run until the agent turns Active.

5. Set environment variables

Add any API keys your agent needs:

maritime env set my-agent OPENAI_API_KEY=sk-...

The Env tab of an agent showing a masked OPENAI_API_KEY variable — Variables are marked secret by default: stored encrypted, always masked in the UI. Uncheck Secret for plain-text config values.

6. Deploy

maritime deploy my-agent

An agent's Overview tab showing status, uptime, CPU, memory, and a live console — The agent's Overview tab after deploy: live status, uptime, CPU and memory, and a console preview.

7. Monitor

View your agent's logs:

maritime logs my-agent

The Console tab streaming live container logs for an agent — The same log stream in the dashboard's Console tab, alongside an interactive terminal and the agent's files.

Shipping a web app instead?

Any repo with a Dockerfile can be deployed as a public web agent: Maritime builds it, runs it serverlessly, and serves it on a public no-login URL. It sleeps when idle and wakes on the next visit:

maritime create my-app --repo https://github.com/you/app --public --port 3000

See the CLI Reference for all create options.

What happens next?

Your agent starts immediately as active and compute billing begins. Use maritime sleep my-agent to save compute when you don't need it running. Sleeping agents auto-wake when triggered via webhook, cron schedule, or API call.