How Do You Use Agents and Models Together?
Summary:
Agents and models serve distinct roles in a claw stack: the model provides intelligence, while the agent harness handles orchestration, actions, and governance.
Direct Answer:
In a NemoClaw deployment, these roles are clearly separated:
The model (such as NVIDIA Nemotron or a proprietary frontier model) provides the reasoning and intelligence behind each decision.
The agent harness (such as OpenClaw or Hermes Agents) handles orchestration — managing the task loop, calling tools, and coordinating actions over time.
The OpenShell runtime provides the governance layer: sandboxing execution, enforcing network policy, and routing inference through a controlled gateway.
NemoClaw combines all three into a single deployable stack.