NemoClaw is NVIDIA’s open source stack for running OpenClaw AI assistants more safely, with stronger privacy and security controls built in from the start. It is designed for always-on agents that can keep working across local systems, cloud setups, and enterprise environments.
NVIDIA positions NemoClaw as a layer on top of OpenClaw, not a separate replacement. It adds the NVIDIA OpenShell runtime, which applies policy-based guardrails so users can control how an AI agent handles files, network access, data, and inference.
NVIDIA also says NemoClaw can use open models such as NVIDIA Nemotron and evaluate available compute resources so some workloads can run locally for better privacy and cost efficiency.
That matters because autonomous agents can do more than answer prompts. They can browse, access tools, write code, and keep running in the background. NemoClaw tries to make that safer by placing those actions inside a managed sandbox with tighter controls and clearer boundaries.
According to NVIDIA’s GitHub documentation, the CLI orchestrates the full stack, including the sandbox, inference provider, gateway, and network policy.
Here are the main things NemoClaw adds:
- Security controls: It wraps OpenClaw in OpenShell and applies policy-based privacy and security guardrails.
- Sandboxing: NVIDIA and Ollama documentation describe kernel-level sandboxing, network policy controls, and audit trails for AI agents.
- Flexible deployment: NVIDIA says NemoClaw can run in the cloud, on premises, on RTX PCs, and on systems such as DGX Spark.
- Fast setup: NVIDIA provides a one-command install flow for onboarding and setup.
- Open source foundation: NVIDIA calls it an open source reference stack and released it in early preview.
System requirements and current status
NVIDIA’s GitHub page says NemoClaw is still alpha software and entered early preview on March 16, 2026, so it is not yet production-ready and the APIs and behavior can still change. The published prerequisites list Ubuntu 22.04 or later, Node.js 20 or later, npm 10 or later, a supported container runtime, 8 GB RAM minimum, and 20 GB free disk space, with higher recommended specs for smoother use. Ollama’s docs also list support for macOS on Apple Silicon and Windows through WSL2 with Docker Desktop.
Final answer
So, what is NemoClaw? In simple terms, it is NVIDIA’s security-focused runtime stack for OpenClaw agents. It helps developers run autonomous AI assistants with tighter privacy controls, safer execution, and more structured deployment, which makes it easier to test and manage powerful AI agents in real systems.