NemoClaw nemoclaw-user-get-started
Installs NemoClaw, launches a sandbox, and runs the first agent prompt. Use when onboarding, installing, or launching a NemoClaw sandbox for the first time. Trigger keywords - nemoclaw quickstart, install nemoclaw openclaw sandbox, nemoclaw windows wsl2 setup, nemoclaw install windows docker desktop.
git clone https://github.com/NVIDIA/NemoClaw
T=$(mktemp -d) && git clone --depth=1 https://github.com/NVIDIA/NemoClaw "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.agents/skills/nemoclaw-user-get-started" ~/.claude/skills/nvidia-nemoclaw-nemoclaw-user-get-started && rm -rf "$T"
.agents/skills/nemoclaw-user-get-started/SKILL.mdNemoClaw Quickstart: Install, Launch, and Run Your First Agent
Gotchas
- OpenShell lifecycle. For NemoClaw-managed environments, use
when you need to create or recreate the OpenShell gateway or sandbox.nemoclaw onboard
Prerequisites
Before getting started, check the prerequisites to ensure you have the necessary software and hardware to run NemoClaw.
Alpha software: NemoClaw is in alpha, available as an early preview since March 16, 2026. APIs, configuration schemas, and runtime behavior are subject to breaking changes between releases. Do not use this software in production environments. File issues and feedback through the GitHub repository as the project continues to stabilize.
Follow these steps to get started with NemoClaw and your first sandboxed OpenClaw agent.
Step 1: Install NemoClaw and Onboard OpenClaw Agent
Download and run the installer script. The script installs Node.js if it is not already present, then runs the guided onboard wizard to create a sandbox, configure inference, and apply security policies.
Note: NemoClaw creates a fresh OpenClaw instance inside the sandbox during the onboarding process.
curl -fsSL https://www.nvidia.com/nemoclaw.sh | bash
If you use nvm or fnm to manage Node.js, the installer may not update your current shell's PATH. If
nemoclaw is not found after install, run source ~/.bashrc (or source ~/.zshrc for zsh) or open a new terminal.
Note: The onboard flow builds the sandbox image with
so the dashboard is immediately usable during setup. This is a build-time setting baked into the sandbox image, not a runtime knob. If you exportNEMOCLAW_DISABLE_DEVICE_AUTH=1after onboarding finishes, it has no effect on an existing sandbox.NEMOCLAW_DISABLE_DEVICE_AUTH
When the install completes, a summary confirms the running environment:
────────────────────────────────────────────────── Sandbox my-assistant (Landlock + seccomp + netns) Model nvidia/nemotron-3-super-120b-a12b (NVIDIA Endpoints) ────────────────────────────────────────────────── Run: nemoclaw my-assistant connect Status: nemoclaw my-assistant status Logs: nemoclaw my-assistant logs --follow ────────────────────────────────────────────────── [INFO] === Installation complete ===
Step 2: Chat with the Agent
Connect to the sandbox, then chat with the agent through the TUI or the CLI.
nemoclaw my-assistant connect
In the sandbox shell, open the OpenClaw terminal UI and start a chat:
openclaw tui
Alternatively, send a single message and print the response:
openclaw agent --agent main --local -m "hello" --session-id test
Step 3: Uninstall
To remove NemoClaw and all resources created during setup, run the uninstall script:
curl -fsSL https://raw.githubusercontent.com/NVIDIA/NemoClaw/refs/heads/main/uninstall.sh | bash
| Flag | Effect |
|---|---|
| Skip the confirmation prompt. |
| Leave the binary installed. |
| Also remove NemoClaw-pulled Ollama models. |
For troubleshooting installation or onboarding issues, see the Troubleshooting guide (use the
nemoclaw-user-reference skill).
References
- Load references/windows-setup.md when installing NemoClaw on Windows, enabling WSL 2, configuring Docker Desktop for Windows, or troubleshooting a Windows-specific install error. Includes Windows-only prerequisites that must be completed before the Quickstart.
Related Skills
— Switch inference providers (use thenemoclaw-user-configure-inference
skill) to use a different model or endpointnemoclaw-user-configure-inference
— Approve or deny network requests (use thenemoclaw-user-manage-policy
skill) when the agent tries to reach external hostsnemoclaw-user-manage-policy
— Deploy to a remote GPU instance (use thenemoclaw-user-deploy-remote
skill) for always-on operationnemoclaw-user-deploy-remote
— Monitor sandbox activity (use thenemoclaw-user-monitor-sandbox
skill) through the OpenShell TUInemoclaw-user-monitor-sandbox