Nvidia gives developers the tool to build secure, autonomous AI workers that scale
Not content with just providing the infrastructure for the next generation of artificial intelligence agents, Nvidia Corp. is also providing the tools for developers to build them.
At Nvidia GTC Taipei 2026, concurrent with the Computex conference, the company unveiled the latest iteration of its Agent Toolkit. It’s a comprehensive suite of software, open-source models and blueprints for building powerful, long-running digital coworkers capable of executing complex workflows across business operations, engineering and cybersecurity tasks.
The Nvidia Agent Toolkit is meant to be an open and accessible foundational stack that provides everything developers need to transform powerful frontier models into fully functional AI agents. The suite includes a selection of highly optimized models and a secure runtime environment that attempts to reduce the friction that has caused many companies to hold off from deploying AI agents at scale.
Though large language models have proven themselves to be capable coding assistants and graphics designers, they tend to struggle when attempting to take on more complex business and operational tasks. One of the main challenges for developers is to create a kind of orchestration layer, often called a “harness,” that manages the model’s memory to preserve context across multi-day sessions, enables agents to use third-party tools and collaborate with other agents.
