grid CLI — an interactive shell that
onboards robots, starts simulator and robot sessions, and deploys programs.
1. Install the CLI
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: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 whenrobot add asks — the CLI persists it for every
later session.
4. Onboard a robot
5. Start working
robot connection, ready for code.
Where next
- Watch a simulator come alive, no hardware needed: Your first session
- Write and deploy your first robot program: Your first skill
- Every command: the CLI reference
- Call cloud models from Python: grid-cortex-client
- The hosted model catalog: AI models
- Something wrong?
diagnosticsbundles redacted logs for support, anderrorrecalls the last failure in full.