NVIDIA NemoClaw：在可控技术栈上构建专用智能体

Build Specialized Agents on a Stack You Control with NVIDIA NemoClaw

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NVIDIA 介绍 NemoClaw，用于在开发者自主可控的技术栈上构建专用智能体。该方案强调通过运行时执行策略，并配合优化与可观测性工具保障可靠执行，目标是让智能体在接入真实企业系统与数据时兼具能力与安全性。

正文 · 原文

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.

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来源：NVIDIA Technical Blog · developer.nvidia.com