NemoClaw is NVIDIA's answer to the enterprise adoption gap in agentic AI. It adds privacy and security controls on top of OpenClaw, the open-source OS for agentic systems. At first it looks like a security wrapper: OpenShell sandboxes the agent, Nemotron runs locally on RTX hardware, and a privacy router decides what stays on-device and what hits the cloud. But underneath, it's NVIDIA's full stack wrapped around the agentic layer - from cuDF/cuVS and vGPU for compute, to Nemotron/Nemo/Dynamo/NIM for inference, AI-Q for orchestration, and cuOPT for optimization. Announced at GTC, it represents NVIDIA's vision for enterprise-ready AI agents.
Unlocked enterprise adoption of agentic AI with proper guardrails
Demonstrated NVIDIA's full-stack approach to the agentic layer
Chain LLM steps into a workflow with {{stepId.output}} substitution between steps. Pick a preset, edit any prompt, watch the chain execute step by step.
View ProjectCLI + web viewer that runs your prompts against test cases with contains / regex / equals / llm-judge assertions, produces a JSON report, and fails the build on regressions in CI.
View Project