AI Research

NVIDIA Releases NemoClaw to Improve OpenClaw's Security

NemoClaw is NVIDIA’s security focused runtime for OpenClaw agents, introduced at GTC. It addresses a growing problem with autonomous agents running with broad permissions. As OpenClaw adoption increased, so did concerns around data access, execution safety, and uncontrolled behavior. NemoClaw adds a structured layer that enforces how agents interact with systems and external services. At its core, NemoClaw uses OpenShell to run agents inside sandboxed environments. Every action, including file access, network calls, and model inference, is governed by policy. Inference requests are routed through a gateway instead of direct calls, allowing better control over privacy and provider usage. This design shifts responsibility from the developer to the runtime. While setup is still rough in early preview, the direction is clear. NemoClaw brings predictability, security, and reproducibility to agent workflows. For developers and enterprises running always on agents, it provides the control needed to move from experimentation to real deployment.