Adrian has been writing, critiquing, and thinking about games since he first picked up an N64 controller many years ago. These days he writes reviews, news, and features for Game Rant and believes ...

We're celebrating 25 years of work to advance a bold vision for a just and inclusive democracy and economy that reflects a growing and diversifying nation. Read Taifa Smith Butler's reflection on ...

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。

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。