NVIDIA used its GTC 2026 conference to unveil NemoClaw, a new software stack designed to make autonomous AI agents more secure, private, and accessible – and it could mark a significant shift in how everyday users interact with AI.
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What is OpenClaw?
To understand NemoClaw, you first need to know about OpenClaw, the open-source agent platform it runs on. OpenClaw has rapidly become one of the most talked-about projects in AI, with NVIDIA CEO Jensen Huang describing it as nothing less than “the operating system for personal AI.” In the same way that Windows or macOS gives users control over their computers, OpenClaw is designed to give users control over their own AI agents, autonomous software programs, called claws, that can complete tasks, build tools, and learn new skills on your behalf.
NemoClaw is essentially the security and infrastructure layer that autonomous agents have been missing. Built on NVIDIA’s Agent Toolkit software, it installs on top of OpenClaw with a single command, bringing with it two key components: NVIDIA’s Nemotron open models, and the newly announced OpenShell runtime.
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OpenShell creates an isolated sandbox environment for agents to operate in, enforcing privacy policies, network controls, and security guardrails. This means your AI agents can be genuinely productive – browsing, coding, managing files – without that activity leaking outside the boundaries you define.
Where does Nemotron come in?
NVIDIA Nemotron is the family of open large language models that power NemoClaw’s on-device intelligence. Rather than routing every request to a remote cloud server, NemoClaw can run Nemotron models locally on your own hardware – whether that’s an RTX-powered gaming PC, a professional workstation, or one of NVIDIA’s DGX Spark or DGX Station AI supercomputers. For users who need access to more powerful frontier models, a built-in privacy router can connect to cloud-based AI while keeping data controls in place.
The promise of always-on, autonomous AI agents has been a recurring theme in the industry, but trust and privacy have remained sticking points. NemoClaw directly addresses that gap. By combining open models, local compute, and enforceable security guardrails, NVIDIA is making a credible case that personal AI agents can be both powerful and safe. GTC 2026 attendees can get hands-on with the technology at NVIDIA’s build-a-claw event, running through March 19.
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Vyom Ramani
A journalist with a soft spot for tech, games, and things that go beep. While waiting for a delayed metro or rebooting his brain, you’ll find him solving Rubik’s Cubes, bingeing F1, or hunting for the next great snack. View Full Profile
