# awesome-llm-apps

**Repository Path**: carryonmways/awesome-llm-apps

## Basic Information

- **Project Name**: awesome-llm-apps
- **Description**: 主要功能: 汇集了大量基于大型语言模型构建的应用程序。该项目旨在展示 LLM 在不同领域的实际应用，特别是围绕检索增强生成（RAG）、AI 代理（AI Agents）、多代理协作（Multi-agent Teams）等前沿技术。
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-08-18
- **Last Updated**: 2025-08-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<p align="center">
  <a href="http://www.theunwindai.com">
    <img src="docs/banner/unwind_black.png" width="900px" alt="Unwind AI">
  </a>
</p>


<p align="center">
  <a href="https://www.linkedin.com/in/shubhamsaboo/">
    <img src="https://img.shields.io/badge/-Follow%20Shubham%20Saboo-blue?logo=linkedin&style=flat-square" alt="LinkedIn">
  </a>
  <a href="https://twitter.com/Saboo_Shubham_">
    <img src="https://img.shields.io/twitter/follow/Shubham_Saboo" alt="Twitter">
  </a>
</p>


<p align="center">
  <!-- Keep these links. Translations will automatically update with the README. -->
  <a href="https://www.readme-i18n.com/Shubhamsaboo/awesome-llm-apps?lang=de">Deutsch</a> | 
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  <a href="https://www.readme-i18n.com/Shubhamsaboo/awesome-llm-apps?lang=zh">中文</a>
</p>


<hr/>

# 🌟 精选 LLM 应用集

一个精心整理的采用 RAG、AI 智能体、多智能体团队、MCP、语音代理等技术构建的精选 LLM 应用集合。本仓库收录了使用 OpenAI、Anthropic、Google 等商业模型及 DeepSeek、Qwen 或 Llama 等可在本地运行的开源模型的 LLM 应用案例。

<p align="center">
  <a href="https://trendshift.io/repositories/9876" target="_blank">
    <img src="https://trendshift.io/api/badge/repositories/9876" alt="Shubhamsaboo%2Fawesome-llm-apps | Trendshift" style="width: 250px; height: 55px;" />
  </a>
</p>


## 🤔 为什么选择这个精选集？

- 💡 探索 LLM 在代码仓库、电子邮件等不同领域实际应用的创新方式
- 🔥 研究结合 OpenAI/Anthropic/Gemini 与开源替代方案，集成 AI 智能体、智能体团队、MCP 和 RAG 的混合应用
- 🎓 通过完整文档的项目学习，并参与不断壮大的 LLM 开源应用生态

## 📂 特色 AI 项目

### AI Agents

### 🌱  入门级 AI 智能体

*   🎙️ 博客转播客智能体
*   [❤️‍🩹 分手疗愈助手](starter_ai_agents/ai_breakup_recovery_agent/)
*   [📊 数据分析智能体](starter_ai_agents/ai_data_analysis_agent/)
*   [🩻 医学影像分析智能体](starter_ai_agents/ai_medical_imaging_agent/)
*   [😂 表情包生成器（浏览器版）](starter_ai_agents/ai_meme_generator_agent_browseruse/)
*   [🎵 音乐生成智能体](starter_ai_agents/ai_music_generator_agent/)
*   [🛫 旅行规划助手（本地/云端）](starter_ai_agents/ai_travel_agent/)
*   [✨ Gemini 多模态智能体](starter_ai_agents/gemini_multimodal_agent_demo/)
*   [🌐 本地新闻聚合器（OpenAI 集群）](starter_ai_agents/local_news_agent_openai_swarm/)
*   [🔄 混合智能体系统](starter_ai_agents/mixture_of_agents/)
*   [📊 xAI 金融分析助手](starter_ai_agents/xai_finance_agent/)
*   [🔍 OpenAI 研究助手](starter_ai_agents/opeani_research_agent/)
*   [🕸️ W网页抓取智能体（本地/云端）](starter_ai_agents/web_scrapping_ai_agent/)

### 🚀 进阶 AI 智能体

*   [🔍 AI深度研究智能体](advanced_ai_agents/single_agent_apps/ai_deep_research_agent/)
*   [🤝 AI咨询顾问智能体](advanced_ai_agents/single_agent_apps/ai_consultant_agent)
*   [🏗️ AI系统架构师智能体](advanced_ai_agents/single_agent_apps/ai_system_architect_r1/)
*   [🎯 AI潜在客户开发智能体](advanced_ai_agents/single_agent_apps/ai_lead_generation_agent/)
*   [💰 AI财务教练智能体](advanced_ai_agents/multi_agent_apps/ai_financial_coach_agent/)
*   [🎬 AI电影制作智能体](advanced_ai_agents/single_agent_apps/ai_movie_production_agent/)
*   [📈 AI投资分析智能体](advanced_ai_agents/single_agent_apps/ai_investment_agent/)
*   [🏋️‍♂️ AI健康健身智能体](advanced_ai_agents/single_agent_apps/ai_health_fitness_agent/)
*   [🚀 AI产品上市情报智能体](advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent)
*   [🗞️ AI新闻记者智能体](advanced_ai_agents/single_agent_apps/ai_journalist_agent/)
*   [🧠 AI心理健康智能体](advanced_ai_agents/multi_agent_apps/ai_mental_wellbeing_agent/)
*   [📑 AI会议助理智能体](advanced_ai_agents/single_agent_apps/ai_meeting_agent/)
*   [🧬 AI自我进化智能体](advanced_ai_agents/multi_agent_apps/ai_Self-Evolving_agent/)
*   [🎧 AI社交媒体新闻与播客智能体](advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/)

### 🎮 自主游戏代理

*   [🎮 AI 3D Pygame智能体](advanced_ai_agents/autonomous_game_playing_agent_apps/ai_3dpygame_r1/)
*   [♜ AI国际象棋智能体](advanced_ai_agents/autonomous_game_playing_agent_apps/ai_chess_agent/)
*   [🎲 AI井字棋智能体](advanced_ai_agents/autonomous_game_playing_agent_apps/ai_tic_tac_toe_agent/)

### 🤝 多智能体协作团队

*   [🧲 AI 竞争对手情报智能体团队](advanced_ai_agents/multi_agent_apps/agent_teams/ai_competitor_intelligence_agent_team/)
*   [💲 AI 金融智能体团队](advanced_ai_agents/multi_agent_apps/agent_teams/ai_finance_agent_team/)
*   [🎨 AI 游戏设计智能体团队](advanced_ai_agents/multi_agent_apps/agent_teams/ai_game_design_agent_team/)
*   [👨‍⚖️ AI 法律智能体团队 (云端 & 本地)](advanced_ai_agents/multi_agent_apps/agent_teams/ai_legal_agent_team/)
*   [💼 AI 招聘智能体团队](advanced_ai_agents/multi_agent_apps/agent_teams/ai_recruitment_agent_team/)
*   [🏠 AI 房地产智能体团队](advanced_ai_agents/multi_agent_apps/agent_teams/ai_real_estate_agent_team)
*   [👨‍💼 AI 服务机构 (CrewAI)](advanced_ai_agents/multi_agent_apps/agent_teams/ai_services_agency/)
*   [👨‍🏫 AI 教学智能体团队](advanced_ai_agents/multi_agent_apps/agent_teams/ai_teaching_agent_team/)
*   [💻 多模态编程智能体团队](advanced_ai_agents/multi_agent_apps/agent_teams/multimodal_coding_agent_team/)
*   [✨ 多模态设计智能体团队](advanced_ai_agents/multi_agent_apps/agent_teams/multimodal_design_agent_team/)
*   [🌏 AI 旅行规划智能体团队](/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/)

### 🗣️ 语音 AI 智能体

*   [🗣️ AI 语音导览智能体](voice_ai_agents/ai_audio_tour_agent/)
*   [📞 客户支持语音智能体](voice_ai_agents/customer_support_voice_agent/)
*   [🔊 语音 RAG 智能体（OpenAI SDK）](voice_ai_agents/voice_rag_openaisdk/)


### 🌐 MCP AI 智能体

*   [♾️ 浏览器 MCP 智能体](mcp_ai_agents/browser_mcp_agent/)
*   [🐙 GitHub MCP 智能体](mcp_ai_agents/github_mcp_agent/)
*   [📑 Notion MCP 智能体](mcp_ai_agents/notion_mcp_agent) 
*   [🌍 AI Travel Planner MCP Agent](mcp_ai_agents/ai_travel_planner_mcp_agent_team)

### 📀 RAG（检索增强生成）

*   [🔗 智能代理式 RAG](rag_tutorials/agentic_rag/)
*   [🧐 带推理的智能代理式 RAG](rag_tutorials/agentic_rag_with_reasoning/)
*   [📰 AI 博客搜索 (RAG)](rag_tutorials/ai_blog_search/)
*   [🔍 自主式 RAG](rag_tutorials/autonomous_rag/)
*   [🔄 修正型 RAG (CRAG)](rag_tutorials/corrective_rag/)
*   [🐋 Deepseek 本地 RAG 代理](rag_tutorials/deepseek_local_rag_agent/)
*   [🤔 Gemini 智能代理式 RAG](rag_tutorials/gemini_agentic_rag/)
*   [👀 混合搜索 RAG (云端版)](rag_tutorials/hybrid_search_rag/)
*   [🔄 Llama 3.1 本地 RAG](rag_tutorials/llama3.1_local_rag/)
*   [🖥️ 本地混合搜索 RAG](rag_tutorials/local_hybrid_search_rag/)
*   [🦙 本地 RAG 代理](rag_tutorials/local_rag_agent/)
*   [🧩 RAG 即服务](rag_tutorials/rag-as-a-service/)
*   [✨ 基于 Cohere 的 RAG 代理](rag_tutorials/rag_agent_cohere/)
*   [⛓️ 基础 RAG 链](rag_tutorials/rag_chain/)
*   [📠 带数据库路由的 RAG](rag_tutorials/rag_database_routing/)
*   [🖼️ Vision RAG](rag_tutorials/vision_rag/)

### 💾 带记忆功能的 LLM 应用教程

*   [💾 带记忆的 AI 学术论文代理](advanced_llm_apps/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/)
*   [🛩️ 带记忆的 AI 旅行代理](advanced_llm_apps/llm_apps_with_memory_tutorials/ai_travel_agent_memory/)
*   [💬 Llama3 有状态聊天](advanced_llm_apps/llm_apps_with_memory_tutorials/llama3_stateful_chat/)
*   [📝 带个性化记忆的 LLM 应用](advanced_llm_apps/llm_apps_with_memory_tutorials/llm_app_personalized_memory/)
*   [🗄️ 带记忆的本地 ChatGPT 克隆版](advanced_llm_apps/llm_apps_with_memory_tutorials/local_chatgpt_with_memory/)
*   [🧠 共享记忆的多 LLM 应用](advanced_llm_apps/llm_apps_with_memory_tutorials/multi_llm_memory/)


### 💬 与 X 聊天教程

*   [💬 与 GitHub 对话 (GPT & Llama3)](advanced_llm_apps/chat_with_X_tutorials/chat_with_github/)
*   [📨 与 Gmail 对话](advanced_llm_apps/chat_with_X_tutorials/chat_with_gmail/)
*   [📄 与 PDF 对话 (GPT & Llama3)](advanced_llm_apps/chat_with_X_tutorials/chat_with_pdf/)
*   [📚 与研究论文对话 (ArXiv) (GPT & Llama3)](advanced_llm_apps/chat_with_X_tutorials/chat_with_research_papers/)
*   [📝 与 Substack 对话](advanced_llm_apps/chat_with_X_tutorials/chat_with_substack/)
*   [📽️ 与 YouTube 视频对话](advanced_llm_apps/chat_with_X_tutorials/chat_with_youtube_videos/)

### 🔧 LLM 微调教程

*   [🔧 Llama 3.2 Fine-tuning](advanced_llm_apps/llm_finetuning_tutorials/llama3.2_finetuning/)

### 🧑‍🏫 AI 智能体框架速成课程

- [Google ADK 速成课程](ai_agent_framework_crash_course/google_adk_crash_course/)
  - 入门智能体；模型无关（OpenAI、Claude）
  - 结构化输出（Pydantic）
  - 工具：内置、函数、第三方、MCP 工具
  - 记忆；回调；插件
  - 简单多智能体；多智能体模式

## 🚀 快速开始

1. **克隆仓库** 

   ```bash 
   git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git 
   ```

2. **进入目标项目目录**

   ```bash 
   cd awesome-llm-apps/starter_ai_agents/ai_travel_agent
   ```

3. **安装依赖项**

   ```bash
   pip install -r requirements.txt
   ```

4. **按照项目特定说明** 在每个项目的 `README.md` 文件中设置和运行应用。

## 🤝 开源贡献

欢迎贡献！如果您有任何想法、改进或新应用要添加，请创建新的 [GitHub Issue](https://github.com/Shubhamsaboo/awesome-llm-apps/issues) 或提交拉取请求。请遵循现有项目结构，并为每个新应用包含详细的 `README.md`。

### 感谢社区的支持！ 🙏

[![Star History Chart](https://api.star-history.com/svg?repos=Shubhamsaboo/awesome-llm-apps&type=Date)](https://star-history.com/#Shubhamsaboo/awesome-llm-apps&Date)

🌟 **不要错过未来的更新！现在给仓库点个星标，第一时间了解带有 RAG 和 AI 智能体的全新 LLM 应用。**