NVIDIA Launched NemoClaw, Its OpenClaw with Guardrails
March 17, 2026
IBL News | New York
NVIDIA’s annual GTC 2026 keynote kicked off with Jensen Huang announcing new partnerships with OpenClaw, Uber Autonomous Cars, and Disney’s Imagineering Research and Development Lab, where he introduced Disney’s latest lifelike robot, Olaf from the movie Frozen.
In San Jose, California, at its annual GTC conference, Nvidia yesterday announced the Nvidia Agent Toolkit, which brings together open models, runtimes, open skills, and blueprints to build long-running, secure, and performant autonomous agents. This is the next generation of the company’s previously called Nvidia NeMo Agent Toolkit.
However, Nvidia’s NemoClaw got most of the attention.
NVIDIA’s NemoClaw combines the OpenClaw agent platform with components of its Agent Toolkit to add privacy and security controls.
In its announcement, Nvidia calls it “the Nvidia NemoClaw stack for the OpenClaw agent platform.”
NVIDIA says it developed NemoClaw in collaboration with OpenClaw founder Peter Steinberger, who remains the maintainer of OpenClaw even after he joined OpenAI earlier this year.
“Every company now needs to have an OpenClaw strategy,” Nvidia CEO Jensen Huang said in his keynote. To him, “OpenClaw — and claws in general — are going to be as important as Linux, Kubernetes, HTML, and other fundamental tools.”
NemoClaw can use any coding agent. While OpenClaw handles the runtime, memory, and skills, NemoClaw adds new and existing open source models, tools, and frameworks from NVIDIA.
It can use, for example, Nvidia’s own Nemotron models (or any other model running locally or in the cloud), the company’s Dynamo inference engine, and a new open-source security runtime called OpenShell that is at the core of the Agent Toolkit.
“NVIDIA OpenShell is a new open source safety and security runtime for agents,” Kari Briski, Nvidia’s VP of generative AI software. said in a press conference ahead of today’s announcement. “OpenShell provides the missing infrastructure layer beneath claws to give them the access they need to be productive, while enforcing policy-based security network and privacy guardrails.”
This security layer is at the core of the announcement. As claws gain access to corporate tools and data, OpenShell is designed to be the policy-enforcement layer that keeps them within bounds by combining security, network, and privacy guardrails.
In its announcement, NVIDIA argues, “This provides the missing infrastructure layer beneath claws to give them the access they need to be productive, while enforcing policy-based security, network, and privacy guardrails.”
“NemoClaw installs OpenClaw with Nemotron models and the Nvidia OpenShield runtime in a single command,” Briski explained. “This provides a foundation for agents to develop and learn new skills to complete tasks according to defined privacy and security guardrails. It adds security and privacy to run personal, always-on AI assistance anywhere.”
NVIDIA is working with Cisco, CrowdStrike, Google, Microsoft Security, and TrandAI to bring OpenShell compatibility to their security tools
NemoClaw can run in the cloud as well as locally on RTX PCs and Nvidia’s own desktop supercomputers, such as DGX Spark and DGX Station. Some enterprising developers will likely find ways to run this on the Mac minis they bought for OpenClaw, too.
During a press conference ahead of today’s announcement, Briski framed this move as part of Nvidia’s ongoing engagement with the open source community.
“Nvidia NemoClaw, which you’ve all already seen in the news, is Nvidia’s contribution to the open claw community to help take the incredible OpenClaw phenomenon to the next level. Just like we’ve done for Pytorch, Kubernetes, OpenGL, and more,“ she says.
