# yixiangshijie/ai-agents-in-action-2nd-edition-cn

<https://repo.masters-masters.com/en/repos/yixiangshijie/ai-agents-in-action-2nd-edition-cn>

[Home](https://repo.masters-masters.com/en) › [yixiangshijie](https://repo.masters-masters.com/en/owners/yixiangshijie) › [ai-agents-in-action-2nd-edition-cn](https://repo.masters-masters.com/en/repos/yixiangshijie/ai-agents-in-action-2nd-edition-cn)

yixiangshijie/ai-agents-in-action-2nd-edition-cn has 332 stars on GitHub. Its RepoMasters card: Alpha tier. 本项目是《AI Agents in Action》第二版的中文译本，是一本智能体系统构建与应用的实战指…

| Field | Value |
| --- | --- |
| Owner | [yixiangshijie](https://repo.masters-masters.com/en/owners/yixiangshijie) |
| Stars | 332 |
| Forks | 98 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2026 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [yixiangshijie/ai-agents-in-action-2nd-edition-cn](https://github.com/yixiangshijie/ai-agents-in-action-2nd-edition-cn) |

## Repository

本项目是《AI Agents in Action》第二版的中文译本，是一本智能体系统构建与应用的实战指南——目标不止于打造自主实体，更在于开发能够切实应对并解决现实问题的智能体。 全书从大语言模型（LLM）的基础应用出发，逐步深入到智能助手、多智能体系统与自主智能体的构建，系统讲解智能体系统的关键组成部分：角色、工具与行动、知识与记忆、检索与增强、推理与规划、评估与反馈。第二版将五个功能层作为组织原则，并新增 MCP 协议、测试驱动的智能体开发（TDAD）、智能体循环、认知与元认知等前沿主题，帮助开发者构建生产级智能体系统。

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.