Nvidia has launched NemoClaw, a security-hardened version of the OpenClaw AI agent platform that installs in a single command and runs autonomous AI assistants with privacy guardrails—from cloud deployments to local RTX PCs.
Announced at GTC 2026 on March 16, NemoClaw combines Nvidia's Nemotron models with the newly announced OpenShell runtime in an isolated sandbox environment. The result: AI agents that can access tools and data while enforcing policy-based security, network restrictions, and privacy controls.
OpenClaw Meets Enterprise Security
OpenClaw, which Nvidia CEO Jensen Huang called "the operating system for personal AI" and "the fastest-growing open source project in history," enables self-evolving autonomous agents. But enterprises need security guarantees before deploying AI that can act independently.
"OpenClaw opened the next frontier of AI to everyone," Huang said during the keynote. "This is the moment the industry has been waiting for—the beginning of a new renaissance in software."
NemoClaw addresses the security gap. It uses Nvidia Agent Toolkit software to optimize OpenClaw and installs OpenShell, which provides open models and an isolated sandbox. The sandbox gives agents the access they need to be productive while preventing unauthorized actions.
"OpenClaw brings people closer to AI and helps create a world where everyone has their own agents," said Peter Steinberger, creator of OpenClaw. "With Nvidia and the broader ecosystem, we're building the claws and guardrails that let anyone create powerful, secure AI assistants."
Local and Cloud Hybrid Approach
NemoClaw supports any coding agent and can tap open models—including Nvidia Nemotron—running locally on dedicated systems. Using a privacy router, agents can also access frontier models running in the cloud. This hybrid approach lets agents develop and learn new skills while respecting defined privacy boundaries.
Always-on agents need dedicated computing to build software and complete tasks around the clock. NemoClaw runs on any dedicated platform:
Nvidia GeForce RTX PCs and laptops
Nvidia RTX PRO workstations
Nvidia DGX Station and DGX Spark AI supercomputers
This flexibility means developers can run secure agents on consumer hardware or enterprise infrastructure, depending on their needs and security requirements.
The Missing Infrastructure Layer
Nvidia describes NemoClaw as "the missing infrastructure layer beneath claws." AI agents need access to files, tools, and external services to be useful. But unconstrained access creates security risks—an agent with file system access could accidentally delete critical data or expose sensitive information.
NemoClaw's sandbox environment solves this with policy-based controls. Organizations can define exactly what agents can and cannot do: which directories they can access, which network endpoints they can contact, and what data they can process. The privacy guardrails ensure agents operate within defined boundaries while remaining useful.
Hands-On at GTC
GTC attendees can experience NemoClaw firsthand at Nvidia's "build-a-claw" event in GTC Park, running March 16-19. Participants can customize and deploy proactive, always-on AI assistants using the NemoClaw stack.
The launch positions Nvidia to capture enterprise AI agent deployment, offering the security and control businesses need while leveraging the innovation of the open-source OpenClaw community. As AI agents move from experimental projects to production systems, the infrastructure to run them securely becomes critical—and Nvidia is positioning NemoClaw as that foundation.
