整套架构本来是给程序员写代码用的，意外地特别适合当业务系统的多智能体后端。今天就把整个流程分享给大家。 做 AI 多智能体业务后端，开源框架满地都是。LangChain、LangGraph、AutoGen、CrewAI 我都试过。 结果这次我用一个"写代码用的 CLI"反而搭得最快。

AI Agent 框架日益复杂，例如 LangChain 的代码库已有约 40 万行，CrewAI 的依赖项多达 131 个。但这些复杂抽象的背后，核心逻辑其实只要 100 行 Python。近期科学出版社出版的新书《手搓AI智能体：轻量框架，100行搞定》就在讲这件事：作者分析了当前主流的 AI Agent 应用，提出一个核心观点——移除框架的封装，它们的底层逻辑大多能归结为同一种图结构。

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