用 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

AI 导读

NVIDIA NemoClaw 支持在开发者自主掌控的技术栈上构建专用智能体，覆盖模型、harness 与领域工具三部分。该方案强调通过运行时强制执行策略，并提供优化与可观测性工具以保障可靠执行。面向生产环境的智能体还需在接入真实企业系统与数据时兼顾能力与安全。

正文

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.

Source

来源：NVIDIA Developer Blog · developer.nvidia.com