---
title: NemoClaw
---

NemoClaw is NVIDIA's open source security stack for [OpenClaw](/integrations/openclaw). It wraps OpenClaw with the NVIDIA OpenShell runtime to provide kernel-level sandboxing, network policy controls, and audit trails for AI agents. 

## Quick start

Pull a model:

```bash
ollama pull nemotron-3-nano:30b
```

Run the installer:

```bash
curl -fsSL https://www.nvidia.com/nemoclaw.sh | \
  NEMOCLAW_NON_INTERACTIVE=1 \
  NEMOCLAW_PROVIDER=ollama \
  NEMOCLAW_MODEL=nemotron-3-nano:30b \
  bash
```

Connect to your sandbox:

```bash
nemoclaw my-assistant connect
```

Open the TUI:

```bash
openclaw tui
```

<Note>Ollama support in NemoClaw is still experimental.</Note>

## Platform support

| Platform | Runtime | Status |
|----------|---------|--------|
| Linux (Ubuntu 22.04+) | Docker | Primary |
| macOS (Apple Silicon) | Colima or Docker Desktop | Supported |
| Windows | WSL2 with Docker Desktop | Supported |

CMD and PowerShell are not supported on Windows — WSL2 is required.

<Note>Ollama must be installed and running before the installer runs. When running inside WSL2 or a container, ensure Ollama is reachable from the sandbox (e.g. `OLLAMA_HOST=0.0.0.0`).</Note>

## System requirements

- CPU: 4 vCPU minimum
- RAM: 8 GB minimum (16 GB recommended)
- Disk: 20 GB free (40 GB recommended for local models)
- Node.js 20+ and npm 10+
- Container runtime (Docker preferred)

## Recommended models

- `nemotron-3-super:cloud` — Strong reasoning and coding
- `qwen3.5:cloud` — 397B; reasoning and code generation
- `nemotron-3-nano:30b` — Recommended local model; fits in 24 GB VRAM
- `qwen3.5:27b` — Fast local reasoning (~18 GB VRAM)
- `glm-4.7-flash` — Reasoning and code generation (~25 GB VRAM)

More models at [ollama.com/search](https://ollama.com/search).
