NVIDIA launches NemoClaw open blueprints for specialized agents
NVIDIA introduced NemoClaw, a set of open blueprints that combine tuned open models, agent harnesses, optimization and telemetry tools, and OpenShell runtime governance. The blueprints support OpenClaw, Hermes Agent, and LangChain Deep Agents, allowing developers to assemble specialized agents on infrastructure they can own and customize. NVIDIA says its tuned Nemotron 3 Ultra configuration for LangChain Deep Agents reached near-frontier performance at roughly one-tenth the per-run cost of leading closed models, but that claim is vendor-reported.
NemoClaw packages models, harnesses, observability, and runtime policy controls into an open stack for developers building production agents.
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.
This post explains how these components work together, with a focus on how NVIDIA NemoClaw open blueprints enable developers to build specialized agents on a stack they can own, customize, and run. This post provides criteria to help developers integrate NemoClaw with a harness they already use: OpenClaw, Hermes Agent, or LangChain Deep Agents.
What an agent harness provides
An agent requires four things:
- A model that reasons.
- A harness that defines how the agent operates.
- Tools and skills that extend its capabilities.
- A runtime that governs what the agent can access and do in production.
#NVIDIA#NemoClaw#Nemotron#Nemotron 3 Ultra#NVIDIA NeMo#NeMo Relay#NVIDIA OpenShell#OpenClaw#Hermes Agent#LangChain Deep Agents#Nous Research