Nvidia introduced Agent Toolkit and NemoClaw for rapid and secure AI agent deployment

Nvidia at GTC 2026 bet not only on new models, but also on infrastructure for their practical application. The company presented Agent Toolkit and the NemoClaw stack — two open-source tools designed to simplify the deployment of AI agents, make them safer, and bring them closer to real business scenarios.

Two new tools

Agent Toolkit

Nvidia positions Agent Toolkit as a foundational layer for enterprise agent systems. The idea is for developers not to build each project from scratch using disparate libraries, but to receive a common set of components for connecting agents to data, tools, and workflows. The platform is designed to work alongside existing frameworks rather than replace them, so it can be integrated into a current stack without full migration.

According to Nvidia's documentation, Toolkit functions as a unifying layer on top of popular agent systems, including LangChain, LlamaIndex, CrewAI, Semantic Kernel, and Google ADK. It includes built-in profiling, tracing, answer quality evaluation, and support for MCP and A2A protocols. In practice, this means companies are offered not just a library for running an agent, but a set of tools for observability, debugging, and gradual scaling of such systems within the enterprise.

What's inside the stack

If Agent Toolkit handles the assembly and operation of agent applications, then NemoClaw solves a different problem: how to quickly deploy an already ready autonomous assistant on your own hardware and maintain control over what it does. This stack is built around OpenClaw, but adds to it Nvidia's Nemotron models and a new OpenShell execution environment, which is responsible for security policies, privacy, and access control. Effectively, NemoClaw transforms OpenClaw into a more manageable package for local or dedicated deployment.

Nvidia specifically emphasizes that the stack can be deployed with one command, and it can work at different levels of infrastructure — from PCs with GeForce RTX graphics cards and workstations to DGX Spark, DGX Station, and servers with Nvidia accelerators. The company also mentions optimization for more powerful Vera Rubin systems and support for clustering up to four DGX Spark in one configuration.

• Installation of OpenClaw, Nemotron, and OpenShell in a single launch scenario
• Network and file system isolation for agent actions
• Policies for external requests and data access
• Local inference, where data does not need to be sent to the cloud
• Scaling from RTX PCs to servers and compact DGX systems

It's important that Nvidia does not sell NemoClaw as a magical "launch an agent and forget" button. Rather, it's a reference stack for those who want a constantly running assistant with clear boundaries: where it can read files, what network calls it's allowed to make, and what actions require separate approval. In the documentation, the project is marked as alpha, so for now it's more of an early developer tool than a mature enterprise product out of the box.

Partners and ecosystem

The announcement was accompanied by a long list of partners already ready to use Agent Toolkit in their products. Nvidia named Adobe, Salesforce, SAP, ServiceNow, Siemens, CrowdStrike, Atlassian, Palantir and several other companies. The meaning of the partnerships is clear: Nvidia wants its agent stack to become not an experiment for enthusiasts, but an infrastructure foundation for enterprise software, where agents live long, work with internal data, and are embedded in real business processes.

The company separately highlighted collaboration with Adobe. There, Agent Toolkit is being considered as the foundation for hybrid and long-lived agent scenarios in creative, productivity, and marketing applications. In parallel, Adobe plans to integrate CUDA-X and Omniverse more deeply, and training of next-generation models will rely on Nvidia's computing platform.

For Nvidia itself, this is a way to establish itself not only as a GPU supplier, but as the owner of the software layer above agent economy.

"OpenClaw has opened the next frontier of AI for everyone," said

Jensen Huang.

Another strategic move is the launch of the Nemotron Coalition. The coalition includes Black Forest Labs, Cursor, LangChain, Mistral AI, Perplexity, Reflection AI, Sarvam, and Thinking Machines Lab. These companies will jointly develop open advanced models on a shared DGX Cloud infrastructure, to avoid duplicating basic training steps and move faster toward industry specialization. Nvidia directly states that the results of this work will form the basis of the future Nemotron 4 family.

What it means

The AI market is shifting from a race of individual models to a race of agent platforms. Nvidia wants to occupy both positions at once: provide models, hardware, and a management layer on top of them. If the approach with Agent Toolkit and NemoClaw takes hold, the company could become for corporate AI agents what CUDA once was for GPU computing: a standard around which the entire ecosystem is built.