NemoClaw - Ollama — ContextQMD

NemoClaw is NVIDIA's open source security stack for 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.