AI Agents
NemoClaw
NVIDIA's open source reference stack for running OpenClaw agents safely. Adds OpenShell — a policy-based privacy and security guardrails runtime — plus NeMo Guardrails and the NVIDIA Agent Toolkit.
The AIE Angle
Why NemoClaw made the cut
NemoClaw is what OpenClaw should be for enterprise. It's the same agent runtime, memory, and skills system — but NVIDIA has wrapped it in a proper safety layer: OpenShell for policy-based privacy and network guardrails, NeMo Guardrails for LLM-level content controls, and the Agent Toolkit to run everything from a laptop up to GPU clusters. If you're considering autonomous agents for any business workflow that touches sensitive data, this is the stack to standardize on. The guardrails aren't optional bolt-ons — they're the reason you can actually deploy this thing in production without waking up to a Slack channel full of problems.
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Common Questions
NemoClaw FAQ
The questions business professionals most often ask about NemoClaw.
What does NemoClaw add on top of OpenClaw?+
Three things. OpenShell — policy-based security, network, and privacy guardrails at the runtime layer. NeMo Guardrails — content and behavior controls at the LLM layer. The NVIDIA Agent Toolkit — tools and frameworks to run agents at scale from a single workstation up to GPU clusters, plus a privacy router that can mix local Nemotron models with frontier models in the cloud.
Do I have to use NVIDIA hardware to run NemoClaw?+
No — NemoClaw runs on non-NVIDIA hardware too. But it's designed to take advantage of NVIDIA GPUs if you have them, and it ships with support for NVIDIA's Nemotron open models for fully local inference. For enterprises that want agents running on-prem with no data leaving their network, that combination matters.
Which coding agents work with NemoClaw?+
NemoClaw is agent-agnostic — it integrates with Claude Code, OpenAI Codex, and any OpenClaw-compatible runtime. The guardrails and policies apply regardless of which coding agent you use underneath.
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