Agents are only as useful as what they know, and only as trustworthy as the boundaries they run within.

Leading enterprises are using the open source NVIDIA Agent Toolkit — now expanded with new tools — to customize and control agents, use company data to inform their answers and actions, monitor what they do and govern how they operate.

To develop agents that accomplish real work and are trustworthy from development to deployment, builders need an open agent stack that brings together the models, harness, runtime, data and tools.

NVIDIA Agent Knowledge Foundation helps enterprises turn data into company intelligence agents can use. Agents can find relevant information, understand what it means for the business and use it to make predictions and help people decide what to do next. Companies can use Agent Knowledge Foundation without moving data, rebuilding existing workflows or changing governance controls.

The foundation features NVIDIA CUDA-X libraries, including cuDF, cuGraph, cuML, cuOpt and cuVS, and the new Auto-Ontology library, which translates raw company data into familiar business concepts — like customers, products and orders — and maps how they relate.

It also includes NVIDIA Nemotron Retriever and Kumo Structured open models — Kumo Tabular, Kumo Relational, Kumo Time Series and Kumo Forecast — which help agents find relevant company information to answer questions and make predictions.

OpenShell provides the secure runtime boundary, giving enterprises control over what agents can access and do. NVIDIA NemoClaw blueprints provide reference designs for building secure, specialized agents. The newest NemoClaw blueprint for agent optimization provides a step-by-step starting point for improving agent intelligence — making them better at their jobs over time.

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