# Claude Projects 多智能体协作机制解析

- 来源：Ethan Mollick (@emollick)
- 发布时间：2026-09-18 03:18
- AIHOT 分数：41
- AIHOT 链接：https://aihot.news/items/cmu5xb4ha05n6roiq59vebyk9
- 原文链接：https://x.com/emollick/status/2100665801800093959

## AI 摘要

Claude Projects 能像组织一样调度智能体团队：用户对接主编排智能体，它按需启动专家智能体，并混合使用昂贵与廉价模型。Ethan Mollick 让 Fable 挑选历史谜案，系统自动启动研究智能体、开出 18 条独立线程，每条线程再派生更多智能体模拟雪崩、破译密码，并交由写作与怀疑型智能体核查，全程耗时一天。结果仅供娱乐，不保证无误。

## 正文

What makes Claude Projects so interesting is that it handles teams of agents really well, you talk to a main orchestrator agent and it spins up specialists. Basically it creates an organization to solve your issue, mixing expensive and cheap agents depending on your preferences.

For example, I asked Fable in Claude Projects to select famous historical mysteries that it could try to resolve. It initiated research agents, selected the mysteries based on data it could access, and spun up eighteen separate threads, each with an agent each focused on one mystery. Then each thread launched additional agents (simulating avalanches, breaking codes) before summarizing those and passing them to still more agents for write up and another set of skeptical agents to fact check. It did this over a day of work, with the central orchestrator agent organizing it all.

The results were interesting if you like historical mysteries. They are also for fun and certainly not definitive or guaranteed error-free (but they are also mostly reasonable & grounded in the literature). https://historical-mysteries.netlify.app/