base on fay是一个帮助数字人（2.5d、3d、移动、pc、网页）或大语言模型（openai兼容、deepseek）连通业务系统的agent框架。 <div align="center"> <br> <img src="readme/icon.png" alt="Fay"> <h1>FAY</h1> <h3>Fay数字人框架</h3> </div> ！！重要通知：我们已经把Fay的三个版本合并成1个，并致力提供更稳定更全面的功能。 我们致力于思考面向终端的数字人落地应用，并通过完整代码把思考结果呈现给大家。Fay数字人框架，向上适配各种数字人模型技术，向下接入各式大语言模型，并且便于更换诸如TTS、ASR等模型，为单片机、app、网站提供全面的数字人应用接口。 更新日志：https://qqk9ntwbcit.feishu.cn/wiki/UlbZwfAXgiKSquk52AkcibhHngg 文档：https://qqk9ntwbcit.feishu.cn/wiki/JzMJw7AghiO8eHktMwlcxznenIg ## **功能特点** - 完全开源，商用免责 - 支持全离线使用 - 全时流式的支持 - 自由匹配数字人模型、大语言模型（openai 兼容接口）、ASR、TTS模型 - 支持数字人自动播报模式（虚拟教师、虚拟主播、新闻播报） - 支持任意终端使用：单片机、app、网站、大屏、三方业务系统接入等 - 支持多用户多路并发 - 提供文字交互接口、语音交互接口、数字人驱动接口、管理控制接口、自动播报接口、意图接口 - 支持语音指令灵活配置执行（qa.csv） - 支持自定义知识库、自定义问答对、自定义人设信息 - 支持唤醒及打断对话 - 支持服务器及单机模式 - 支持机器人表情输出 - 支持agent自主决策工具调用 - 基于日程式数字人主动对话 - 支持后台静默启动 - 支持deepseek等thinking llm - 自我认知提高 - 仿生记忆 - 支持MCP工具管理（sse、studio） - 提供配置管理中心 - 全链路交互互通 ### ## **Fay数字人框架**    ## **源码启动** ### **环境** - Python 3.12 - Windows、macos、ubuntu - 注：ubuntu需要先安装gcc及portaudio - ````bash sudo apt update sudo apt install build-essential sudo apt install portaudio19-dev ```` ### **安装依赖** ```shell pip install -r requirements.txt ``` ### **配置** + 依照说明修改 `./system.conf` 文件(默认运行将自动使用公共配置) ### **启动** 启动Fay控制器 ```shell python main.py ``` ## **镜像快速启动** https://www.compshare.cn/images/compshareImage-1cft3sk9gvta?ytag=GPU_fay ## **高级玩法**  ### ***使用数字人（非必须）*** ue: https://github.com/xszyou/fay-ue5 unity：https://qqk9ntwbcit.feishu.cn/wiki/Se9xw04hUiss00kb2Lmci1BVnM9 metahuman-stream（2d）：https://qqk9ntwbcit.feishu.cn/wiki/Ik1kwO9X5iilnGkFwRhcnmtvn3e duix（android)：https://qqk9ntwbcit.feishu.cn/wiki/Ik1kwO9X5iilnGkFwRhcnmtvn3e() aibote(windows cpu克隆人)：https://qqk9ntwbcit.feishu.cn/wiki/ULaywzVRti0HXWkhCzacoSPAnIg ### ***集成到自家产品（非必须）*** 接口：https://qqk9ntwbcit.feishu.cn/wiki/Mcw3wbA3RiNZzwkexz6cnKCsnhh ### **联系** **交流群及资料教程**关注公众号 **fay数字人**（**请先star本仓库**）  ## **致谢** 感谢以下开源项目为 Fay 提供的技术支持： - [BionicMemory](https://github.com/caoyc/BionicMemory) - 提供仿生记忆能力 - [OpenAI Codex](https://github.com/openai/codex) - 提供稳定的工具调用能力 - [FunASR](https://github.com/modelscope/FunASR) - 提供语音识别（ASR）能力 ", Assign "at most 3 tags" to the expected json: {"id":"12107","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"