Nvidia's NemoClaw Brings Enterprise Security to OpenClaw AI Agents with Single Command Install

Nvidia turns OpenClaw into an enterprise platform with NemoClaw

A single command now installs security, privacy guardrails, and local AI models on the world's fastest-growing open-source agent platform. OpenClaw launched on 25 January 2026. Austrian developer Peter Steinberger says he built the first version in roughly an hour. Within weeks it had become one of the fastest-growing open-source repositories in GitHub history, an AI agent that anyone could run locally, capable of organising files, writing code, and browsing the web without routing data through a cloud. That kind of unchaperoned access was, for enterprise IT teams, both the point and the problem. Nvidia's answer arrived on Monday at its annual GTC developer conference in San Jose. The company announced NemoClaw, a stack that installs onto OpenClaw in a single command, adding the privacy and security infrastructure that enterprises need before they can trust an autonomous agent with production data. The core component is OpenShell, a new open-source runtime that sandboxes agents at the process level. It enforces policy-based controls on file access, network connections, and data handling, so an agent can be productive without being given the run of the house. Policies are written in YAML, which means a development team can, for example, permit a sandbox to connect to a specific cloud AI tool while blocking everything else on the network. OpenShell ships as part of Nvidia's Agent Toolkit, a broader collection of open models, runtimes, and blueprints for building long-running autonomous agents. NemoClaw also installs Nvidia's Nemotron open models locally on whatever dedicated hardware is available, GeForce RTX PCs and laptops, RTX PRO workstations, DGX Station, or DGX Spark. A privacy router then allows agents to reach cloud-based frontier models when needed, while keeping the guardrails in place. The combination is designed to let agents develop and learn new skills without ever stepping outside defined boundaries. "OpenClaw opened the next frontier of AI to everyone and became the fastest-growing open source project in history," Jensen Huang, Nvidia's founder and CEO, said onstage. "Mac and Windows are the operating systems for the personal computer. OpenClaw is the operating system for personal AI. This is the moment the industry has been waiting for, the beginning of a new renaissance in software." Huang described the arrival of OpenClaw in terms that echo his usual framing for transformative open-source moments, Linux, Kubernetes, HTML, and said the question he would now put to every chief executive is: what is your OpenClaw strategy? Steinberger, who joined OpenAI in February but retains involvement with the project, is quoted in the launch announcement. "OpenClaw brings people closer to AI and helps create a world where everyone has their own agents," he said. "With Nvidia and the broader ecosystem, we're building the claws and guardrails that let anyone create powerful, secure AI assistants." NemoClaw is not model-exclusive. It can run any coding agent and work with models from providers including OpenAI and Anthropic alongside Nvidia2019s own Nemotron family, which runs locally for those who want to avoid cloud exposure entirely. Kari Briski, Nvidia2019s VP of generative AI software, told a press conference ahead of the announcement that OpenShell provides 201cthe missing infrastructure layer beneath claws to give them the access they need to be productive, while enforcing policy-based security, network, and privacy guardrails.201d The security layer matters because OpenClaw's earlier iterations had well-documented vulnerabilities, in particular around prompt injection and unconstrained file access. Most of those have been patched, but no software fix can resolve the structural tension between an autonomous agent that needs broad access to be useful and an enterprise that cannot afford to let it roam freely. OpenShell addresses that tension at the infrastructure level rather than the application level. Nvidia is working with Cisco, CrowdStrike, Google, and Microsoft Security to bring OpenShell compatibility to their respective security tools, which would embed the guardrails into the broader enterprise security stack. The DGX Station, Nvidia's higher-end desktop AI supercomputer for running frontier-class models locally, opened for orders on the same day as the NemoClaw announcement. Analysts from Futurum Research noted that NemoClaw and OpenShell address the deployment end of the agent trust chain well, but urged enterprises not to treat them as a complete governance solution. Security and accountability, they argued, need to be embedded throughout the development lifecycle, not just at the runtime layer. Nvidia's Agent Toolkit also ships with AI-Q, a reference blueprint for how agents should decompose and route tasks, a detail that suggests the company is aware of the wider problem, even if NemoClaw is currently the headline product. NemoClaw is currently available as an early-access preview. Nvidia describes it as alpha-stage and warns developers to expect rough edges; the stated goal is production-ready sandbox orchestration, but the company is explicit that the starting point is getting environments up and running. A build-a-claw event at GTC Park ran from 16 to 19 March, giving conference attendees the chance to deploy a live NemoClaw assistant on the day of the announcement. The speed of OpenClaw's ascent, from a one-hour side project to the infrastructure layer of enterprise AI in less than two months, is a reminder of how quickly the ground is moving. Nvidia, which has spent the past three years positioning itself as the essential hardware layer beneath every AI workload, is now making a similar argument about software.

Nvidia's NemoClaw brings privacy and security controls to autonomous OpenClaw agents

Fresh off the release of Nemotron 3 Super, a 120-billion-parameter model considered a specialized tool for agentic AI, Nvidia is adding more iterations to the Nemotron family. NemoClaw, announced Monday at GTC 2026, installs Nvidia's Nemotron models and the newly released Nvidia OpenShell runtime onto the fast-growing open-source AI agent platform OpenClaw in a single command, adding privacy and security guardrails to autonomous AI agents. How NemoClaw works NemoClaw runs on any dedicated platform -- including GeForce RTX PCs and laptops, RTX PRO workstations, DGX Station and DGX Spark -- so teams can run always-on autonomous agents locally without routing sensitive data through the cloud. NemoClaw uses Nvidia's Agent Toolkit, which provides a sandbox environment to add privacy controls to agents. "OpenClaw opened the next frontier of AI to everyone and became the fastest-growing open source project in history," Huang said. "OpenClaw is the operating system for personal AI. This is the moment the industry has been waiting for -- the beginning of a new renaissance in software." Nemotron 3 models Nemotron 3 Ultra, Omni and VoiceChat aim to "extend multimodal intelligence to help deliver specialized, agentic AI." Nemotron 3 Ultra "delivers frontier-level intelligence with 5x throughput efficiency with the NVFP4 format on the Nvidia Blackwell platform," Nvidia said in a press release. During his keynote speech at GTC 2026, Nvidia CEO Jensen Huang said Nemotron 3 Ultra "will be the best model in the business and will help the world build sovereign AI." Nemotron 3 Omni uses audio, vision, and language understanding to enable AI agents to extract information from multimodal inputs. Nemotron 3 VoiceChat brings real-time conversations with an AI model that both listens and responds simultaneously. It also "combines automatic speech recognition, LLM processing and text-to-speech capabilities." As enterprises increasingly integrate AI agents into their workflows, the need for consistent behavior and security guardrails increases. To this end, Nvidia also released Nemotron safety models and a trustworthy multimodal data retrieval pipeline that detects "unsafe content across text and images, while an agentic retrieval pipeline improves the relevance and accuracy of outputs." The Nemotron 3 family of models was first released in December 2025, using a hybrid Mamba-Transformer mixture-of-experts architecture; the Super and Ultra models also use a latent mixture-of-experts design. Domain-specific and physical AI models Nvidia is also expanding its domain-specific model portfolio. Its BioNeMo healthcare and life sciences model "is expanding as an open AI development platform" to model, design and simulate biological systems; it also developed Proteina-Complexa to accelerate drug discovery. On the physical AI side, Nvidia unveiled the forthcoming Cosmos 3, a world foundation model that will unify synthetic world generation and physical AI reasoning; the Isaac GR00T N1.7 vision-language-action (VLA) model for humanoid robots; and the Alpamayo 1.5 reasoning VLA model for autonomous vehicles. These models can run on Nvidia's NIM microservices platform, allowing enterprises to choose their model deployment.

Nvidia launches NemoClaw, an enterprise stack for the OpenClaw platform

Nvidia unveiled NemoClaw, an enterprise-grade platform built on the OpenClaw framework, during CEO Jensen Huang's GTC keynote on Monday. The launch positions Nvidia to address enterprise security concerns around autonomous AI agents, a gap identified by analysts as a critical barrier to business adoption. NemoClaw aims to provide command-and-control capabilities for how agents behave and handle data through a single deployment interface. Nvidia developed the platform in collaboration with OpenClaw creator Peter Steinberger, Huang said. The system will support any coding agent or open AI model, including Nvidia's NemoTron open models. Users can access cloud-based models on local devices, and the platform operates independent of Nvidia GPU hardware. NemoClaw also integrates with NeMo, Nvidia's existing AI agent software suite. "For the CEOs, the question is, what's your OpenClaw strategy?" Huang said on stage. "Every company in the world today needs to have an OpenClaw strategy, an agentic systems strategy." Nvidia currently describes NemoClaw as early-stage Alpha software. The company warned developers to "expect rough edges" and noted the release focuses on environment setup rather than production-ready deployment. Enterprise AI agent platforms have become a competitive sector in recent months. OpenAI launched OpenAI Frontier, its open enterprise platform, in February. Research firm Gartner stated in a December report that governance platforms represent crucial infrastructure for enterprise AI adoption. "OpenClaw gave the industry exactly what it needed at exactly the time," Huang said, comparing the framework's emergence to Linux, Kubernetes, and HTML.

Nvidia Brings NemoClaw as the Security Layer for OpenClaw Agents

Nvidia introduced NemoClaw, an artificial intelligence (AI)-powered stack for the OpenClaw agents, on Monday. The announcement was made at the company's annual GPU Technology Conference (GTC) during the keynote session. NemoClaw essentially adds privacy and security guardrails to OpenClaw's AI agents, making them deployable and scalable for enterprises. The Santa Clara, California-based tech giant highlighted that the AI stack can be installed with a single command and is platform and agent agnostic. NemoClaw is currently available for developers and enterprises in preview. Nvidia Introduces NemoClaw In a newsroom post, the tech giant introduced and detailed NemoClaw. The new offering is an interesting one, given that it was specifically developed for OpenClaw (although it can work with other agents as well). The agentic automation company was recently acquired by OpenAI after it gained popularity among developers for its general-purpose agents, also known as claws. Unlike typical AI agents, which are built for specific use cases and have limited access and understanding of external tools, OpenClaw's agents can perform a wide range of tasks in a virtual environment, making use of a large variety of tools. However, its proficiency is also its biggest vice. Since OpenClaw is able to access the Internet, various databases, and the device it is running on, it becomes an easy target for cyber criminals. The open-source tool's lack of standardised security and privacy safeguards has also resulted in minimal adoption from enterprises. This is the problem Nvidia hopes to solve with NemoClaw. NemoClaw uses Nvidia's Agent Toolkit software to optimise OpenClaw for enterprises and specific developer environments. The company claims it works with a single command by installing the open-source OpenShell runtime. The runtime creates an isolated sandboxed environment and open models, via which security and privacy guardrails can be added to autonomous agents. Nvidia said NemoClaw can use any coding agent to tap into AI models, including the recently released Nemotron 3 Super, and run locally on the user's dedicated system. It uses a privacy router to let users run frontier models in the cloud. Currently, it is available in preview and can be downloaded from the company's website or GitHub listing. Enterprises can also deploy and run AI agents via popular cloud service providers.