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English(EN) DeepSeek Harness Series (01): What Is It — A Production Agent Runtime in Full View

DeepSeek发布开源Agent框架,用于生产级AI

DeepSeek发布了一个名为dsh的开源Agent框架,旨在为生产级AI Agent提供基础设施。dsh系统基于Cordis插件框架构建,提供类型安全的工具定义、用于安全的三层执行管道以及工具的作用域隔离等功能。它旨在解决开发者在使用LangChain或Autogen等框架部署Agent时面临的挑战,为持久化、安全性和可观测性提供内置解决方案。 AI

影响 为开发者提供了一个生产就绪的框架,用于构建和部署AI Agent,简化了复杂的基础设施需求。

排序理由 文章描述了DeepSeek推出的新型开源Agent框架(dsh),重点介绍了其部署AI Agent的功能和架构。

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

DeepSeek发布开源Agent框架,用于生产级AI

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Tool
文章描述了DeepSeek推出的新型开源Agent框架(dsh),重点介绍了其部署AI Agent的功能和架构。
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2 independent sources
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Topics
product, infra
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
55 days old
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报道来源 [2]

  1. dev.to — LLM tag TIER_1 English(EN) · WonderLab ·

    DeepSeek Harness 系列 (03):工具系统 — 为您的智能体装上“手”

    <h2> Why Tools Are the Core of Any Agent </h2> <p>An LLM by itself only outputs text. Agents that book flights, write code, and query databases do so through <strong>tools</strong> — the LLM decides which tool to call and with what arguments, and the tool actually executes.</p> <…

  2. dev.to — LLM tag TIER_1 English(EN) · WonderLab ·

    DeepSeek Harness 系列 (01):生产级智能体运行时全景解析

    <h2> Starting with a Question </h2> <p>You built an Agent in Python. A few tools, a loop, runs fine locally. Now you want to ship it.</p> <ul> <li>How do you persist conversation history so a process restart doesn't lose context?</li> <li>How do you make sure User A's Agent can't…