NVIDIA introduced its NemoClaw stack at GTC 2026. This move supports and secures the rapidly expanding open-source AI agent platform, OpenClaw (formerly Moltbot). NVIDIA CEO Jensen Huang described OpenClaw as the next ChatGPT. He highlighted a shift from passive chatbots to proactive AI engines that can replace conventional PC application workflows.
OpenClaw enables users to run autonomous agents, known as Claws, locally on their personal computers. These agents can autonomously perform a variety of tasks, such as launching applications, managing files, automating workflows, interacting with other software, and processing information all without user input.
Overview of OpenClaw
- Local-first agent OpenClaw is an open-source tool that runs directly on a user’s computer. It works with Windows, Mac, or Linux systems. OpenClaw prioritizes privacy by keeping data on the device.
- Action-oriented, unlike ChatGPT, which primarily generates text, OpenClaw is designed to perform actions. It can read and write files, send emails, browse the web, manage calendars, and control software via APIs.
- OpenClaw offers over 100 built-in skills for integrating with applications and automating complex, repetitive tasks.
- Observers characterize OpenClaw as the fastest-growing open source project to date. Many associate it with a lobster mascot and the term “lobster fever.”
NVIDIA NemoClaw: Security and Infrastructure
OpenClock provides high-level access to personal files and software, generating significant security risks. NVIDIA’s NemoClaw addresses these issues by supplying a secure infrastructure for these agents.
- NemoClaw enables users to deploy open-source models, such as NVIDIA’s Nemo Plum, directly on RTX-enabled personal computers with a single command.
- NVIDIA OpenShell. This sandboxed runtime, developed by NVIDIA, adds security and privacy controls for agents. It ensures safe operation without access to unauthorized files or networks.
- NemoClaw comes with important safety features. These make it trustworthy for use in professional and business settings.
Consequences For PC Applications
- Agenting workflows. OpenClaw is increasingly used to develop specialized agents that eliminate the need for conventional standard-roll applications for tasks such as research, document crafting, and project workflow management.
- Operating System for Personal AI: Jensen Hoan has stated that OpenClaw serves as an operating system for AI on devices, potentially replacing traditional software interaction paradigms much as Windows changed personal computing.
- Elevating capabilities. This technology enables non-expert users to perform complex tasks like design or planning. Users provide instructions to the agent instead of using specialized software.
Peter Steinberger developed OpenClaw, previously known as Clawdbot. He then joined OpenAI. Anthropic launched a trademark company, prompting the platform to rebrand quickly.
Huang repeatedly described OpenClaw as the next ChatGPT, emphasizing its significance at GTC 2026 and forecasting that it would mark a new era in software development, akin to Windows’s impact on personal computing. He stressed that OpenClaw is the largest and most successful open-source project in history, underscoring its viral adoption and transformative role in agentic AI.
Huang stated that Open Cloud begins a new era in software development.
He described OpenClaw as the largest and most successful open-source project in history.
Huang equated OpenClaw’s emergence to the revolutionary impact of ChatGPT in 2022, suggesting it marks a key milestone in the field of artificial intelligence.
In an interview with CNBC’s Jim Kramer during NVIDIA’s GPU Technology Conference, Huang highlighted how OpenClaw shifts the paradigm from passive chatbots to proactive, action-oriented AI agents.
Huang reiterated that this is definitely the next ChatGPT and emphasized that OpenCloud signifies the beginning of a new era in software. He further described it as the largest, most popular, most successful open-source project in the history of humanity, noting its rapid adoption as the fastest-growing open-source project to date.
Significance of OpenClaw in the AI Sector
Unlike large language models, OpenClaw is an open-source framework for building autonomous AI agents. These agents can execute real-world tasks with minimal human oversight, such as managing emails, automating scheduling, or performing repetitive digital operations. The platform enables users to create, deploy, and run these agents locally on personal computers.
OpenClaw enables users to create personalized agents with minimal code, allowing them to manage complex workflows. For example, agents can autonomously design kitchen layouts by analyzing images, researching tools, iterating concepts, and refining outputs.
Juan stressed the potential social impact of OpenClaw, stating that every carpenter can now be an architect. Every plumber will become an architect. We are going to improve everyone’s capabilities. He compared OpenClaw’s significance to the agentic AI era, to the roles of Windows in personal computing, and Linux or Kubernetes in cloud infrastructure. Originally developed by Peter Steinberger, who later joined OpenAI, the project runs locally on Mac, Windows, or Linux and supports models from Anthropic, OpenAI, and other large language models.s. It integrates with messaging applications such as WhatsApp, Telegram, Discord, and Slack. OpenClaw prioritizes privacy by retaining data on the device and functions as a personal AI assistant that actually does things, including managing calendars, handling emails, and automating monetization tasks.
NVIDIA Expands Offerings With NemoClaw Enterprise Stack
To leverage the momentum of open-source AI development, NVIDIA announced NemoClaw, an enterprise-grade, secure version of OpenClaw. NemoClaw integrates Nvidia’s comprehensive software stack and introduces robust safeguards for privacy, oversight, compliance, and scalability, addressing businesses’ concerns about uncontrolled agent actions.
Huang emphasized Nvidia’s commitment to making agentic AI safe and widely accessible by addressing key concerns around security, privacy, and oversight as these AI agents become more autonomous.s.
