NVIDIA

NVIDIA / NemoClaw

Public

NVIDIA plugin for secure installation of OpenClaw

docs.nvidia.comnemoclawlatest
733
95
100% credibility
Found Mar 17, 2026 at 733 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

NemoClaw provides a secure, sandboxed environment for running OpenClaw AI agents with NVIDIA inference models via the OpenShell runtime.

How It Works

1
📰 Discover safe AI helpers

You hear about a simple way from NVIDIA to run powerful AI assistants securely without risks.

2
📥 Get the easy installer

Download the project and run one command to set everything up on your computer.

3
🔗 Link your AI thinker

Follow a quick guide to connect a smart AI service so your helper can understand and respond.

4
🚀 Start your safe playground

Launch a protected space where your AI lives, keeping everything locked down tight.

5
💬 Chat with your assistant

Jump in and talk naturally—ask questions, get help, watch it work magic safely.

6
✅ Approve smart requests

If it needs outside info, you quickly say yes or no to keep control.

✨ Your secure AI companion

Now you have a trustworthy AI sidekick for tasks, always safe and ready to help.

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AI-Generated Review

What is NemoClaw?

NemoClaw is NVIDIA's TypeScript plugin on GitHub for securely installing OpenClaw AI agents via the OpenShell runtime from NVIDIA Agent Toolkit. It spins up Docker sandboxes with Landlock, seccomp, and netns isolation, routing inference to NVIDIA cloud models like Nemotron-3-Super-120B. Run `./install.sh`, then `nemoclaw onboard` for a wizard that sets API keys, policies, and launches – chat via TUI or CLI in a locked-down env.

Why is it gaining traction?

In NVIDIA's GitHub lineup with CUDA samples, TensorRT, and Omniverse tools, NemoClaw stands out by automating secure agent deploys that block unauthorized outbound calls and limit filesystem to `/sandbox`. Devs love the `nemoclaw connect` shell, `status` checks, and `logs --follow` for monitoring, plus hot-reloadable policies for approving agent requests. At 733 stars, it's pulling in folks dodging manual NVIDIA plugin container tweaks for desktop capture or OBS integration.

Who should use this?

AI devs running OpenClaw assistants who need strict egress controls for prod, like teams in NVIDIA Cosmos or Omniverse building always-on bots. Suited for Ubuntu users with Docker and NVIDIA API keys experimenting with secure inference – skip if you're on libnvidia-container or Unraid without GPU passthrough.

Verdict

Alpha with excellent docs and CLI, but 1.0% credibility score and breaking changes mean it's for early tinkerers only. Grab it from nvidia.github.io if NVIDIA plugin container pains hit your OpenClaw workflow – solid foundation, just not prod-ready yet.

(198 words)

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