Build Specialized Agents on a Stack You Control with NVIDIA NemoClaw

Brief overview

Developers use NVIDIA NemoClaw to build autonomous agents, a framework that includes models, executors, and domain-specific tools, and supports secure deployment. NemoClaw provides policy enforcement runtime, optimization, and observability tools to ensure the reliability and security of agents when accessing real enterprise systems and data.

Article

Orange lobster character holding a green shield with a padlock beside a computer displaying code and an NVIDIA DGX Spark on a desk. Building an autonomous agent requires a model, a harness, and domain-specific tools. To deploy an agent more securely, developers need a runtime that enforces...

Building an autonomous agent requires a model, a harness, and domain-specific tools. To deploy an agent more securely, developers need a runtime that enforces policies, along with optimization and observability tools for reliable execution. For production agents, the challenge lies in making these agents capable and safe to operate with access to real enterprise systems and data.

Source

Source: NVIDIA Technical Blog · developer.nvidia.com