智能体
developer.nvidia.com ·
@Nicola Sessions
用 NVIDIA NemoClaw 在可控技术栈上构建专用 Agent
NVIDIA 开发者博客介绍 NemoClaw，指出构建自主 Agent 需要模型、harness 和领域专用工具，生产部署还需能强制执行策略的运行时以及优化和可观测性工具，以便安全接入企业系统与数据。文章目前主要阐述这一需求框架，未披露具体实现细节或实测数据。
AI推荐理由 NVIDIA 开发者博客介绍 NemoClaw，提出构建自主 Agent 需要模型、harness 与领域工具，并强调用可执行策略的运行时、优化与可观测性来安全部署生产 Agent。来源为厂商官方开发者渠道，方向对 Agent 落地有参考价值；但摘要与正文片段仅停留在问题陈述，缺少具体架构细节、性能数据或实测结果，需谨慎看待其效果。
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正文
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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