[毕业设计] MADF - 多智能体讨论框架 (Multi-Agent Discussion Framework)#462
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dongyu23 wants to merge 1 commit intodatawhalechina:mainfrom
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[毕业设计] MADF - 多智能体讨论框架 (Multi-Agent Discussion Framework)#462dongyu23 wants to merge 1 commit intodatawhalechina:mainfrom
dongyu23 wants to merge 1 commit intodatawhalechina:mainfrom
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基于 HelloAgents 框架构建的沉浸式多智能体圆桌讨论系统。 项目亮点： - 深度角色生成：基于真实人物历史信息创建智能体 - 双层记忆系统：私有记忆（内心独白）+ 共享记忆（讨论上下文） - 动态主持机制：主持人负责控场、总结与推进议题 - 多维评估体系：5维指标量化讨论质量 - 完整前后端架构：Vue3 + FastAPI + WebSocket 技术栈： - 前端：Vue 3, TypeScript, Pinia, Ant Design Vue - 后端：Python 3.10+, FastAPI, SQLite/PostgreSQL - AI：智谱 GLM-4 API - 通信：WebSocket 实时流式传输 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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hello，这个pr的名字也参考别的毕业设计改一下哈 |
dongyu23
changed the title
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感谢~，这个项目的agent模块内容，推荐用helloagents框架再来复现一下哈，也可以在框架源码基础上做二创，因为收录到仓库的毕业设计都是基于helloagents框架完善的 |
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[Gemini 3 Flash]
毕业设计项目：MADF - 多智能体讨论框架 (Multi-Agent Discussion Framework)
MADF 是一个参考 HelloAgents 教程开发的毕业设计项目。该项目旨在通过多角色模拟与动态交互，构建一个高度拟人化、可评估且具备实时互动能力的智能体讨论生态。
项目核心亮点
深度人格化角色生成：基于React+搜索API，根据真实历史人物数据进行建模，赋予智能体独特的价值观、语言风格与知识背景。
双层记忆系统：
私有记忆 (Private Memory)：存储智能体个人的思维轨迹与私密偏好。
共享记忆 (Shared Memory)：模拟公共讨论板，记录会议上下文。
动态主持/调节机制 (Dynamic Moderation)：内置“主持人”智能体，负责引导讨论方向、控制发言节奏并化解冲突。
五维质量评估体系：从逻辑性、一致性、创新性、协作度及情感共鸣五个维度对讨论内容进行量化评估。
全栈交互架构：采用 Vue3 + FastAPI + WebSocket 实现前后端数据的高并发实时同步。
技术栈
前端 (Frontend)
Vue 3：采用组合式 API (Composition API) 构建响应式界面。
TypeScript：确保开发过程中的类型安全与代码可维护性。
Pinia：现代化的状态管理库，处理跨组件的智能体状态同步。
Ant Design Vue：企业级 UI 组件库，提供简洁高效的用户界面。
后端 (Backend)
Python 3.10+：利用其强大的异步特性与 AI 生态。
FastAPI：高性能异步 Web 框架，支持快速开发。
SQLite/Redis：支持轻量化部署或大规模生产环境。
人工智能 (AI)
智谱 GLM-4.5 API：核心语言模型驱动，提供卓越的语义理解与长文本处理能力。