使用 NVIDIA NemoClaw 构建可控的专用智能体

Build Specialized Agents on a Stack You Control with NVIDIA NemoClaw

要点速览

开发人员使用 NVIDIA NemoClaw 构建自主智能体，该框架包含模型、执行器和领域特定工具，并支持安全部署。NemoClaw 提供政策执行运行时、优化和可观察性工具，确保智能体在访问真实企业系统和数据时的可靠性和安全性。

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 Technical Blog · developer.nvidia.com