Overview
We introduce a new multi-agent architecture (multi-lead multi-invite). Users no longer manually pick modes, @ a feature, or memorize commands, and extensibility jumps. The flow is extremely simple: create or open a folder, then send one message. The system wakes a lead expert and related experts who use a decentralized discussion mechanism inside the APP to collaborate and finally return a feedback report. For beginners, Shenyan is friendlier. We keep expanding preset experts—lead, architect, quality, PTY, docs, slides (not yet pushed to users), sheets, and computer-control (not yet pushed)—each specially optimized with a matched tool set. Shenyan performs better on general office and creative tasks. Thanks to the architecture it is highly general: most tasks need zero config to start; unsupported features are only a matter of time. Conservatively, Shenyan stays performant with 100-200 preset experts; beyond that, plugins may be needed for more professional expansion. It also brings multi-agent analysis into engineering: for developers and other pros, Shenyan greatly improves ultra-complex projects and very long tasks.
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我们引入了一种全新的多智能体架构（多主多邀请架构）。免去了用户手动选择模式、@某功能、或记忆指令等烦恼，并且可拓展性上获得了极大的提升。操作逻辑极其简单，创建或打开一个文件夹，然后发送一条消息。系统会唤醒负责人专家及一些相关的专家，这些专家在APP 内部采用去中心化的讨论机制，相互协作完成任务。最后向用户提供反馈报告。对于小白层面，神衍更友好。我们还在不断拓展预置专家，现有负责人、架构师、质量专家、PTY 专家、文档专家、幻灯片专家（暂未向用户推送）、表格专家及电脑操控专家（暂未向用户推送）等，各专家均特别优化，有对口优化后的一组工具。神衍在一般办公任务、创意性任务等任务上具有更优表现。得益于神衍架构，其拥有极大的通用性。绝大多数任务用户无需任何配置即可开始，对于尚未支持的功能只是时间问题。保守估计，神衍在引入 100-200 位预置专家下不产生性能问题，超过此基数后可能需要通过插件控制实现更多专业拓展。此外神衍将多智能的分析能力带入工程层面。对于开发者等专业用户，神衍在处理超复杂项目、超长任务上均有巨大提升。