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.
Official announcementNVIDIA Developer Blog
Build Specialized Agents on a Stack You Control with NVIDIA NemoClaw
From the official release
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[](#what_an_agent_harness_provides)
An agent requires four things:
- A model that reasons.
This is a short excerpt. Read the full announcement on the official source.
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