NemoClaw Install Guide | Learning Center
A practical NemoClaw install guide covering the public quickstart flow, onboarding options, provider selection, network policy decisions, and the fastest way to verify that the sandbox and OpenClaw UI are actually reachable.
Search intent
This page is for someone searching how to install NemoClaw and wants the shortest path from installer to a working sandbox, provider selection, and first prompt without reading the entire product manual first.
This is original tutorial copy based on NVIDIA's public NemoClaw quickstart with OpenClaw. The goal is to shorten time-to-understanding, not replace the official reference.
Step 0: choose the right path
Do not start with the wrong tutorial just because it sounded impressive in a video title.
OpenClaw
Best first stop when you want the fastest official install path to a working local OpenClaw agent.
Benefits
- + Official installer is the recommended path for most users and can install Node automatically.
- + Supports macOS, Linux, Windows, and WSL2, with onboarding launched as part of the fast path.
- + You can verify quickly with openclaw --version, openclaw doctor, and openclaw gateway status.
Drawbacks
- - The docs explicitly say WSL2 is more stable than native Windows, so Windows users may still hit a platform tradeoff.
- - If you want everything isolated under a local prefix instead of the default npm-style flow, the official docs push you toward a different installer path.
NemoClaw
Best when you want the official guided wizard to create a fresh sandboxed OpenClaw environment with provider and policy choices built in.
Benefits
- + Official quickstart walks you through provider selection, sandbox naming, optional web search, messaging channels, and network policy presets.
- + Provider credentials stay on the host while the agent inside the sandbox talks to inference.local.
- + The install summary gives you both browser and terminal paths for the first agent prompt.
Drawbacks
- - The official docs mark NemoClaw as alpha software and not for production use.
- - It has materially heavier prerequisites, including Docker, more disk and memory, and a sandbox build that can take 5 to 15 minutes.
Hermes
Best when you specifically want the official Hermes sandbox flow and its OpenAI-compatible API endpoint instead of the standard OpenClaw browser dashboard path.
Benefits
- + The official Hermes quickstart gives you a nemohermes alias, guided onboarding, and an OpenAI-compatible API on port 8642.
- + You can keep Hermes and OpenClaw side by side by choosing a separate sandbox name.
- + It is the clearest documented path here when your consumer app needs to call an API endpoint rather than use a local browser dashboard.
Drawbacks
- - The official docs call Hermes experimental, say defaults may change without notice, and do not recommend it for production use.
- - The first Hermes build can take several minutes because the sandbox base image may need to be built.
- - Hermes does not give you the OpenClaw browser dashboard flow, so it is a worse first experience if you expected a UI-first setup.
Step 1: start here like you're new
Plain-language context so you know what this tutorial is doing before you touch the terminal.
NemoClaw is like building a safe fenced yard for your AI worker before you let it run around. It installs the tooling, creates the sandbox, and walks you through choices that affect how much freedom the agent has.
By the end, you should have a working sandbox, a chosen provider, access to the OpenClaw UI or terminal workflow, and a cleaner foundation for agentic systems that need more guardrails than a direct install.
This is a good fit if...
- - You want guided onboarding with clearer security and network choices.
- - You expect to test agent behavior in a more controlled environment.
- - You want the better path for people who may later care about policy, provider selection, and safe experimentation.
- - You only want the quickest possible first demo and do not care about sandbox decisions yet. Start with OpenClaw.
- - You are not ready to think about provider keys, Docker checks, or sandbox lifecycle commands.
Step 2: Before you install NemoClaw
Validate the host and provider setup first so the installer can finish without avoidable retries.
- Review the published NemoClaw prerequisites before you run the installer, especially if you are on Windows, using Docker, or working inside a managed host.
- Expect Docker checks on Linux and a guided Docker path when Docker is missing. On macOS, plan around Docker Desktop or Colima.
- Set your inference-provider API key in the shell before install if you want fewer prompts during onboarding.
Step 3: install using one path
Pick one install option below. These are alternatives, not steps you should all run in sequence.
Option 1: Recommended path: installer plus guided onboarding
The public installer installs the CLI, starts guided onboarding, creates a fresh OpenClaw sandbox, and walks you through provider and policy choices.
curl -fsSL https://www.nvidia.com/nemoclaw.sh | bashOption 2: Non-interactive path
For automation or CI, explicitly accept the third-party notice and run the installer in non-interactive mode.
curl -fsSL https://www.nvidia.com/nemoclaw.sh | NEMOCLAW_NON_INTERACTIVE=1 NEMOCLAW_ACCEPT_THIRD_PARTY_SOFTWARE=1 bashOption 3: Recover when the CLI is installed but not in PATH
If the installer finishes but the shell does not see the new command yet, reload the shell environment before you retry onboarding.
source ~/.bashrc
# or source ~/.zshrcStep 4: verify the install
Use these checks to confirm the install worked before you move into onboarding or API setup.
- Confirm the install summary shows the sandbox name, provider, and the follow-up lifecycle commands.
- Open the dashboard URL printed by onboarding and be ready to fetch the gateway token if the browser asks for authentication.
- Use `nemoclaw my-gpt-claw connect` and then `openclaw agent --agent main --local -m "hello" --session-id test` to confirm the first terminal prompt works.
Step 5: your first agentic workflow
Do one useful workflow immediately so the install turns into value instead of shelfware.
Build a sandboxed daily-ops assistant
Use the sandbox to run a first prompt that turns a daily production update into a prioritized operations summary while keeping the experiment inside a more controlled environment.
Why this matters
This shows the value of NemoClaw immediately: you are not only installing tooling, you are creating a safer place to test agent behavior before you trust it with bigger workflows.
- 1. Finish guided onboarding and note the sandbox name and provider choice.
- 2. Open the dashboard or connect through the terminal.
- 3. Paste a small production summary with delays, material issues, and one quality concern.
- 4. Ask the agent to produce a prioritized daily-ops brief with risks and recommended actions.
- 5. Decide whether the sandbox setup gives you the control you wanted before expanding the workflow.
Starter prompt
Create a daily operations brief from this production update. Put urgent issues first, call out quality or delivery risks, and end with the three actions a plant lead should review before the next meeting.
You know it worked when...
- The sandbox is reachable from the UI or terminal path you chose.
- The output is useful enough that an operations lead would save it or forward it.
- You leave with a clearer sense of how policy and provider choices affect agent behavior.
Step 6: next steps
These are the follow-on actions that usually matter immediately after a successful install.
Choose your provider and policy carefully during onboarding
The onboarding wizard is not just a cosmetic setup. It determines the inference route, optional web search, messaging channels, and network policy preset that shape the sandbox you end up running.
Open the UI or connect from the terminal
After a successful build, use the printed dashboard URL for browser access or connect to the sandbox in the terminal for a CLI-first workflow.
nemoclaw my-gpt-claw connect
openclaw agent --agent main --local -m "hello" --session-id testPublic reference points
This page was written from public primary documentation surfaced through search, then rewritten into an original install guide.
Popular public video walkthroughs
These are outbound links to public YouTube videos surfaced through search. They are included as references only and are not copied into this guide.
Popular AI creator channels
These are public creator channels worth watching for broader AI ideas and workflow context. They are outbound references only.
Bring this back into JobLine.ai
These links connect the educational path back into platform surfaces where people can keep learning, evaluate fit, or apply the workflow inside JobLine.ai.