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Everything in GRID starts from the grid CLI — an interactive shell that onboards robots, starts simulator and robot sessions, and deploys programs.

1. Install the CLI

Your organization’s GRID admin portal shows this same command on its Welcome screen, pre-filled with your cluster:
Prefer the portal variant — it registers your cluster so login connects to the right place immediately. (Windows support is coming soon; use WSL in the meantime.) The installer verifies a signed binary, installs it to ~/.grid/bin/grid, adds it to your PATH, and offers the GRID Studio VS Code extension. Open a new terminal and run:

2. Log in

Inside the shell, authenticate with your browser:
Your tokens are stored per cluster; switch changes the active cluster if your organization has more than one.

3. Get your Cortex API key

Cloud model inference (detection, depth, grasping, VLAs) is authenticated by a separate runtime key. Generate it in the admin portal (the same site that showed your install command — ask your org admin for its URL if you don’t have it), and paste it when robot add asks — the CLI persists it for every later session.

4. Onboard a robot

The wizard walks you through connecting your robot to the GRID network. Once added, it shows up for everyone in your organization:

5. Start working

Pick sim for a cloud simulator session (opens a browser workspace with a live scene), or robot to open a VS Code workspace wired to your physical robot — a notebook with a live robot connection, ready for code.

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