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Nvidia launches open-source toolkit for enterprise AI agents

The launch introduces NemoClaw, OpenShell, and new Nemotron models aimed at powering secure, long-running AI systems for enterprise workloads.

byEmre Çıtak
June 2, 2026
in Artificial Intelligence, News
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NVIDIA unveiled the NVIDIA Agent Toolkit at the opening of GTC Taipei on Sunday. This open-source software stack is designed for building secure, long-running enterprise AI agents and is accompanied by partnerships with major software companies that aim to reduce engineering work from weeks to hours.

The Agent Toolkit features key components including NVIDIA NemoClaw blueprints for agent orchestration, the OpenShell secure runtime for privacy and policy controls, Nemotron open models for inference, and CUDA-X libraries for domain-specific agent skills. NemoClaw is available now, while OpenShell is currently in early preview; the new Nemotron 3 Ultra model is expected to launch on June 4 and boasts 550 billion parameters, delivering up to five times faster inference with a 30% reduction in cost.

“NVIDIA NemoClaw provides enterprise software developers with the open building blocks to create more secure, long-running AI coworkers that amplify human expertise as they reshape how work gets done,” said CEO Jensen Huang during his keynote address.

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Companies such as Cadence, Dassault Systèmes, Siemens, and Synopsys are among the early adopters utilizing NemoClaw for autonomous AI engineering, specifically in simulation and verification workflows. Cadence is applying OpenShell to secure its ChipStack AI Super Agent, with NVIDIA as the first customer to verify chip designs autonomously.

NVIDIA is also collaborating with Microsoft to offer a native Windows experience for personal agents, which will incorporate new security features facilitated by OpenShell. Additionally, Canonical and Red Hat are working on integrating the runtime into their enterprise platforms, while CrowdStrike and Palantir are employing Nemotron models for cybersecurity and operational decision-making tasks.

Furthermore, NVIDIA introduced a suite of open-source physical AI libraries, skills, models, and frameworks targeted at applications in robotics, autonomous vehicles, and industrial digital twins. These tools are intended to expand the functionality of the Agent Toolkit beyond software and into physical AI systems.

GTC Taipei, taking place from June 1 to June 4, features sessions that delve into AI factories, scaling infrastructure, and various applications of agentic AI.


Featured image credit

Tags: Nvidia

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