> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ollama.com/llms.txt
> Use this file to discover all available pages before exploring further.

# 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 theme={"system"}
ollama pull nemotron-3-nano:30b
```

Run the installer:

```bash theme={"system"}
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 theme={"system"}
nemoclaw my-assistant connect
```

Open the TUI:

```bash theme={"system"}
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).