NVIDIA NemoClaw

Skill by ara.so — Daily 2026 Skills collection.

NVIDIA NemoClaw is an open-source TypeScript CLI plugin that simplifies running OpenClaw always-on AI assistants securely. It installs and orchestrates the NVIDIA OpenShell runtime, creates policy-enforced sandboxes, and routes all inference through NVIDIA cloud (Nemotron models). Network egress, filesystem access, syscalls, and model API calls are all governed by declarative policy.

Status: Alpha — interfaces and APIs may change without notice.

---

Installation

Prerequisites

• Linux Ubuntu 22.04 LTS or later
• Node.js 20+ and npm 10+ (Node.js 22 recommended)
• Docker installed and running
• NVIDIA OpenShell installed

One-Line Installer

curl -fsSL https://nvidia.com/nemoclaw.sh | bash

This installs Node.js (if absent), runs the guided onboard wizard, creates a sandbox, configures inference, and applies security policies.

Manual Install (from source)

git clone https://github.com/NVIDIA/NemoClaw.git
cd NemoClaw
npm install
npm run build
npm link  # makes `nemoclaw` available globally

---

Environment Variables

# Required: NVIDIA cloud API key for Nemotron inference
export NVIDIA_API_KEY="nvapi-xxxxxxxxxxxx"

# Optional: override default model
export NEMOCLAW_MODEL="nvidia/nemotron-3-super-120b-a12b"

# Optional: custom sandbox data directory
export NEMOCLAW_SANDBOX_DIR="/var/nemoclaw/sandboxes"

Get an API key at build.nvidia.com.

---

Quick Start

1. Onboard a New Agent

nemoclaw onboard

The interactive wizard prompts for:

• Sandbox name (e.g. my-assistant)
• NVIDIA API key ($NVIDIA_API_KEY)
• Inference model selection
• Network and filesystem policy configuration

Expected output on success:

──────────────────────────────────────────────────
Sandbox      my-assistant (Landlock + seccomp + netns)
Model        nvidia/nemotron-3-super-120b-a12b (NVIDIA Cloud API)
──────────────────────────────────────────────────
Run:         nemoclaw my-assistant connect
Status:      nemoclaw my-assistant status
Logs:        nemoclaw my-assistant logs --follow
──────────────────────────────────────────────────
[INFO]  === Installation complete ===

2. Connect to the Sandbox

nemoclaw my-assistant connect

3. Chat with the Agent (inside sandbox)

TUI (interactive chat):

sandbox@my-assistant:~$ openclaw tui

CLI (single message):

sandbox@my-assistant:~$ openclaw agent --agent main --local -m "hello" --session-id test

---

Key CLI Commands

Host Commands (nemoclaw)

Command	Description
nemoclaw onboard	Interactive setup: gateway, providers, sandbox
nemoclaw <name> connect	Open interactive shell inside sandbox
nemoclaw <name> status	Show NemoClaw-level sandbox health
nemoclaw <name> logs --follow	Stream sandbox logs
nemoclaw start	Start auxiliary services (Telegram bridge, tunnel)
nemoclaw stop	Stop auxiliary services
nemoclaw deploy <instance>	Deploy to remote GPU instance via Brev
openshell term	Launch OpenShell TUI for monitoring and approvals

Plugin Commands (openclaw nemoclaw, run inside sandbox)

Note: These are under active development — use nemoclaw host CLI as the primary interface.

Command	Description
openclaw nemoclaw launch [--profile ...]	Bootstrap OpenClaw inside OpenShell sandbox
openclaw nemoclaw status	Show sandbox health, blueprint state, and inference
openclaw nemoclaw logs [-f]	Stream blueprint execution and sandbox logs

OpenShell Inspection

# List all sandboxes at the OpenShell layer
openshell sandbox list

# Check specific sandbox
openshell sandbox inspect my-assistant

---

Architecture

NemoClaw orchestrates four components:

Component	Role
Plugin	TypeScript CLI: launch, connect, status, logs
Blueprint	Versioned Python artifact: sandbox creation, policy, inference setup
Sandbox	Isolated OpenShell container running OpenClaw with policy-enforced egress/filesystem
Inference	NVIDIA cloud model calls routed through OpenShell gateway

Blueprint lifecycle:

1. Resolve artifact
2. Verify digest
3. Plan resources
4. Apply through OpenShell CLI

---

TypeScript Plugin Usage

NemoClaw exposes a programmatic TypeScript API for building custom integrations.

Import and Initialize

import { NemoClawClient } from '@nvidia/nemoclaw';

const client = new NemoClawClient({
  apiKey: process.env.NVIDIA_API_KEY!,
  model: process.env.NEMOCLAW_MODEL ?? 'nvidia/nemotron-3-super-120b-a12b',
});

Create a Sandbox Programmatically

import { NemoClawClient, SandboxConfig } from '@nvidia/nemoclaw';

async function createSandbox() {
  const client = new NemoClawClient({
    apiKey: process.env.NVIDIA_API_KEY!,
  });

  const config: SandboxConfig = {
    name: 'my-assistant',
    model: 'nvidia/nemotron-3-super-120b-a12b',
    policy: {
      network: {
        allowedEgressHosts: ['build.nvidia.com'],
        blockUnlisted: true,
      },
      filesystem: {
        allowedPaths: ['/sandbox', '/tmp'],
        readOnly: false,
      },
    },
  };

  const sandbox = await client.sandbox.create(config);
  console.log(`Sandbox created: ${sandbox.id}`);
  return sandbox;
}

Connect and Send a Message

import { NemoClawClient } from '@nvidia/nemoclaw';

async function chatWithAgent(sandboxName: string, message: string) {
  const client = new NemoClawClient({
    apiKey: process.env.NVIDIA_API_KEY!,
  });

  const sandbox = await client.sandbox.get(sandboxName);
  const session = await sandbox.connect();

  const response = await session.agent.send({
    agentId: 'main',
    message,
    sessionId: `session-${Date.now()}`,
  });

  console.log('Agent response:', response.content);
  await session.disconnect();
}

chatWithAgent('my-assistant', 'Summarize the latest NVIDIA earnings report.');

Check Sandbox Status

import { NemoClawClient } from '@nvidia/nemoclaw';

async function checkStatus(sandboxName: string) {
  const client = new NemoClawClient({
    apiKey: process.env.NVIDIA_API_KEY!,
  });

  const status = await client.sandbox.status(sandboxName);

  console.log({
    sandbox: status.name,
    healthy: status.healthy,
    blueprint: status.blueprintState,
    inference: status
how to use nvidia-nemoclaw
CursorClaude CodeClineCodexWindsurfGooseGitHub CopilotVS CodeGemini CLIKiloOpencodeKimi CLIRoo ClineAiderContinueZedBolt.newLovablev0Replit AgentSweepSmol DeveloperDevinCavemanAmpAntigravity
How to use nvidia-nemoclaw on Cursor
AI-first code editor with Composer
1
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
›Cursor installed and configured on your development machine
›Node.js version 16.0+ with npm package manager (verify with node --version)
›Active project directory or workspace where you want to add nvidia-nemoclaw
2
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/aradotso/trending-skills --skill nvidia-nemoclawcopy
The skills CLI fetches nvidia-nemoclaw from GitHub repository aradotso/trending-skills and configures it for Cursor.
3
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│   • Amp
│   • Antigravity
│   • Cline
│   • Codex
│ ●Cursor(selected)
│   • Cursor
│   • Windsurf
4
Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/nvidia-nemoclaw
Reload or restart Cursor to activate nvidia-nemoclaw. Access the skill through slash commands (e.g., /nvidia-nemoclaw) or your agent's skill management interface.
⚠
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?