Shubhamsaboo/awesome-llm-apps

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# 🌟 Awesome LLM Apps 精选的 **基于 RAG、AI Agents、Multi-agent Teams、MCP、Voice Agents 等技术构建的 Awesome LLM 应用合集。** 本仓库展示了使用 **OpenAI** , **Anthropic**, **Google**, **xAI** 以及开源模型（如 **Qwen** 或 **Llama**）的 LLM 应用，你可以在本地计算机上运行它们。

## 🤔 为什么选择 Awesome LLM Apps？ - 💡 探索 LLM 在不同领域的实用和创新应用方式，从代码仓库到电子邮件收件箱等。 - 🔥 探索将 OpenAI、Anthropic、Gemini 和开源替代方案与 AI Agents、Agent Teams、MCP 及 RAG 相结合的应用。 - 🎓 从文档完善的项目中学习，并为不断增长的开源 LLM 应用生态系统做出贡献。 ## 📂 精选 AI 项目 ### AI Agents ### 🌱 入门级 AI Agents * [🎙️ AI 博客转播客 Agent](starter_ai_agents/ai_blog_to_podcast_agent/) * [❤️‍🩹 AI 分手恢复 Agent](starter_ai_agents/ai_breakup_recovery_agent/) * [📊 AI 数据分析 Agent](starter_ai_agents/ai_data_analysis_agent/) * [🩻 AI 医学影像 Agent](starter_ai_agents/ai_medical_imaging_agent/) * [😂 AI 表情包生成 Agent (浏览器)](starter_ai_agents/ai_meme_generator_agent_browseruse/) * [🎵 AI 音乐生成 Agent](starter_ai_agents/ai_music_generator_agent/) * [🛫 AI 旅行 Agent (本地 & 云端)](starter_ai_agents/ai_travel_agent/) * [✨ Gemini 多模态 Agent](starter_ai_agents/gemini_multimodal_agent_demo/) * [🔄 混合 Agent (Mixture of Agents)](starter_ai_agents/mixture_of_agents/) * [📊 xAI 金融 Agent](starter_ai_agents/xai_finance_agent/) * [🔍 OpenAI 研究 Agent](starter_ai_agents/opeani_research_agent/) * [🕸️ 网页爬虫 AI Agent (本地 & 云端 SDK)](starter_ai_agents/web_scrapping_ai_agent/) ### 🚀 高级 AI Agents * [🏚️ 🍌 AI 家居装修 Agent (使用 Nano Banana Pro)](advanced_ai_agents/multi_agent_apps/ai_home_renovation_agent) * [🧠 DevPulse AI — 多 Agent 信号智能](advanced_ai_agents/multi_agent_apps/devpulse_ai/) * [🔍 AI 深度研究 Agent](advanced_ai_agents/single_agent_apps/ai_deep_research_agent/) * [📊 AI VC 尽职调查 Agent 团队](advanced_ai_agents/multi_agent_apps/agent_teams/ai_vc_due_diligence_agent_team) * [🔬 AI 研究规划与执行器 (Google Interactions API)](advanced_ai_agents/single_agent_apps/research_agent_gemini_interaction_api) * [🤝 AI 顾问 Agent](advanced_ai_agents/single_agent_apps/ai_consultant_agent) * [🏗️ AI 系统架构师 Agent](advanced_ai_agents/single_agent_apps/ai_system_architect_r1/) * [💰 AI 财务教练 Agent](advanced_ai_agents/multi_agent_apps/ai_financial_coach_agent/) * [🎬 AI 电影制作 Agent](advanced_ai_agents/single_agent_apps/ai_movie_production_agent/) * [📈 AI 投资 Agent](advanced_ai_agents/single_agent_apps/ai_investment_agent/) * [🏋️‍♂️ AI 健康与健身 Agent](advanced_ai_agents/single_agent_apps/ai_health_fitness_agent/) * [🚀 AI 产品发布情报 Agent](advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent) * [🗞️ AI 记者 Agent](advanced_ai_agents/single_agent_apps/ai_journalist_agent/) * [🧠 AI 心理健康 Agent](advanced_ai_agents/multi_agent_apps/ai_mental_wellbeing_agent/) * [📑 AI 会议 Agent](advanced_ai_agents/single_agent_apps/ai_meeting_agent/) * [🧬 AI 自进化 Agent](advanced_ai_agents/multi_agent_apps/ai_Self-Evolving_agent/) * [👨🏻‍💼 AI 销售情报 Agent 团队](advanced_ai_agents/multi_agent_apps/agent_teams/ai_sales_intelligence_agent_team) * [🎧 AI 社交媒体新闻与播客 Agent](advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/) * [🌐 Openwork - 开源浏览器自动化 Agent](https://github.com/accomplish-ai/openwork) ### 🎮 自主游戏 Agent * [🎮 AI 3D Pygame Agent](advanced_ai_agents/autonomous_game_playing_agent_apps/ai_3dpygame_r1/) * [♜ AI 国际象棋 Agent](advanced_ai_agents/autonomous_game_playing_agent_apps/ai_chess_agent/) * [🎲 AI 井字棋 Agent](advanced_ai_agents/autonomous_game_playing_agent_apps/ai_tic_tac_toe_agent/) ### 🤝 多 Agent 团队 * [🧲 AI 竞争对手情报 Agent 团队](advanced_ai_agents/multi_agent_apps/agent_teams/ai_competitor_intelligence_agent_team/) * [💲 AI 金融 Agent 团队](advanced_ai_agents/multi_agent_apps/agent_teams/ai_finance_agent_team/) * [🎨 AI 游戏设计 Agent 团队](advanced_ai_agents/multi_agent_apps/agent_teams/ai_game_design_agent_team/) * [🧭 AG2 自适应研究团队](advanced_ai_agents/multi_agent_apps/agent_teams/ag2_adaptive_research_team/) * [👨‍⚖️ AI 法律 Agent 团队 (云端 & 本地)](advanced_ai_agents/multi_agent_apps/agent_teams/ai_legal_agent_team/) * [💼 AI 招聘 Agent 团队](advanced_ai_agents/multi_agent_apps/agent_teams/ai_recruitment_agent_team/) * [🏠 AI 房地产 Agent 团队](advanced_ai_agents/multi_agent_apps/agent_teams/ai_real_estate_agent_team) * [👨‍💼 AI 服务代理 (CrewAI)](advanced_ai_agents/multi_agent_apps/agent_teams/ai_services_agency/) * [👨‍🏫 AI 教学 Agent 团队](advanced_ai_agents/multi_agent_apps/agent_teams/ai_teaching_agent_team/) * [💻 多模态编程 Agent 团队](advanced_ai_agents/multi_agent_apps/agent_teams/multimodal_coding_agent_team/) * [✨ 多模态设计 Agent 团队](advanced_ai_agents/multi_agent_apps/agent_teams/multimodal_design_agent_team/) * [🎨 🍌 多模态 UI/UX 反馈 Agent 团队 (使用 Nano Banana)](advanced_ai_agents/multi_agent_apps/agent_teams/multimodal_uiux_feedback_agent_team/) * [🌏 AI 旅行规划 Agent 团队](/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/) ### 🗣️ 语音 AI Agents * [🗣️ AI 语音导览 Agent](voice_ai_agents/ai_audio_tour_agent/) * [📞 客户支持语音 Agent](voice_ai_agents/customer_support_voice_agent/) * [🔊 语音 RAG Agent (OpenAI SDK)](voice_ai_agents/voice_rag_openaisdk/) * [🎙️ 开源语音听写 Agent (类似 Wispr Flow)](https://github.com/akshayaggarwal99/jarvis-ai-assistant) ### MCP AI Agents * [♾️ 浏览器 MCP Agent](mcp_ai_agents/browser_mcp_agent/) * [🐙 GitHub MCP Agent](mcp_ai_agents/github_mcp_agent/) * [📑 Notion MCP Agent](mcp_ai_agents/notion_mcp_agent) * [🌍 AI 旅行规划 MCP Agent](mcp_ai_agents/ai_travel_planner_mcp_agent_team) ### 📀 RAG (检索增强生成) * [🔥 Agentic RAG (使用 Embedding Gemma)](rag_tutorials/agentic_rag_embedding_gemma) * [🧐 Agentic RAG (带推理)](rag_tutorials/agentic_rag_with_reasoning/) * [📰 AI 博客搜索 (RAG)](rag_tutorials/ai_blog_search/) * [🔍 自主 RAG](rag_tutorials/autonomous_rag/) * [🔄 上下文 AI RAG Agent](rag_tutorials/contextualai_rag_agent/) * [🔄 纠错 RAG (CRAG)](rag_tutorials/corrective_rag/) * [🐋 Deepseek 本地 RAG Agent](rag_tutorials/deepseek_local_rag_agent/) * [🤔 Gemini Agentic RAG](rag_tutorials/gemini_agentic_rag/) * [👀 混合搜索 RAG (云端)](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 Agent](rag_tutorials/local_rag_agent/) * [🧩 RAG 即服务](rag_tutorials/rag-as-a-service/) * [✨ RAG Agent (使用 Cohere)](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/) * [🖼️ 视觉 RAG](rag_tutorials/vision_rag/) * [🩺 RAG 故障诊断诊所](rag_tutorials/rag_failure_diagnostics_clinic/) * [🕸️ 带引用的知识图谱 RAG](rag_tutorials/knowledge_graph_rag_citations/) ### 💾 带记忆的 LLM 应用教程 * [💾 AI ArXiv Agent (带记忆)](advanced_llm_apps/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/) * [🛩️ AI 旅行 Agent (带记忆)](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/) * [🗄️ 本地 ChatGPT 克隆 (带记忆)](advanced_llm_apps/llm_apps_with_memory_tutorials/local_chatgpt_with_memory/) * [🧠 多 LLM 应用 (带共享记忆)](advanced_llm_apps/llm_apps_with_memory_tutorials/multi_llm_memory/) ### 💬 与 X 聊天教程 * [💬 与 GitHub 聊天 (GPT & Llama3)](advanced_llm_apps/chat_with_X_tutorials/chat_with_github/) * [📨 与 Gmail 聊天](advanced_llm_apps/chat_with_X_tutorials/chat_with_gmail/) * [📄 与 PDF 聊天 (GPT & Llama3)](advanced_llm_apps/chat_with_X_tutorials/chat_with_pdf/) * [📚 与研究论文聊天 (ArXiv) (GPT & Llama3)](advanced_llm_apps/chat_with_X_tutorials/chat_with_research_papers/) * [📝 与 Substack 聊天](advanced_llm_apps/chat_with_X_tutorials/chat_with_substack/) * [📽️ 与 YouTube 视频聊天](advanced_llm_apps/chat_with_X_tutorials/chat_with_youtube_videos/) ### 🎯 LLM 优化工具 * [🎯 Toonify Token 优化](advanced_llm_apps/llm_optimization_tools/toonify_token_optimization/) - 使用 TOON 格式减少 30-60% 的 LLM API 成本 * [🧠 Headroom 上下文优化](advanced_llm_apps/llm_optimization_tools/headroom_context_optimization/) - 通过智能上下文压缩为 AI Agents 减少 50-90% 的 LLM API 成本（包含持久化记忆 & MCP 支持） ### 🔧 LLM 微调教程 * [Gemma 3 微调](advanced_llm_apps/llm_finetuning_tutorials/gemma3_finetuning/) * [Llama 3.2 微调](advanced_llm_apps/llm_finetuning_tutorials/llama3.2_finetuning/) ### 🧑‍🏫 AI Agent 框架速成课程 [Google ADK 速成课程](ai_agent_framework_crash_course/google_adk_crash_course/) - 入门 Agent；模型无关 (OpenAI, Claude) - 结构化输出 - 工具：内置、函数、第三方、MCP 工具 - 记忆；回调；插件 - 简单多 Agent；多 Agent 模式 [OpenAI Agents SDK 速成课程](ai_agent_framework_crash_course/openai_sdk_crash_course/) - 入门 Agent；函数调用；结构化输出 - 工具：内置、函数、第三方集成 - 记忆；回调；评估 - 多 Agent 模式；Agent 移交 - Swarm 编排；路由逻辑 ## 🚀 快速开始 1. **克隆仓库** git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git 2. **导航到所需的项目目录** cd awesome-llm-apps/starter_ai_agents/ai_travel_agent 3. **安装所需的依赖项** pip install -r requirements.txt 4. **遵循每个项目 `README.md` 文件中的特定项目说明**来设置和运行应用程序。 ### 感谢社区的支持！ 🙏 [](https://star-history.com/#Shubhamsaboo/awesome-llm-apps&Date) 🌟 **不要未来的更新！立即 Star 本仓库，抢先了解基于 RAG 和 AI Agents 的精彩 LLM 应用。**

标签：Anthropic, Apex, ChatGPT, CIS基准, Claude, CVE检测, DLL 劫持, Gemini, GPT, MCP, NLP, OpenAI, Petitpotam, Promptflow, Python, RAG, Ruby, 人工智能, 内存规避, 向量数据库, 多智能体, 大模型, 大语言模型, 威胁情报, 开发者工具, 开源模型, 提示词工程, 无后门, 机器学习, 检索增强生成, 深度学习, 漏洞管理, 用户模式Hook绕过, 知识库, 策略决策点, 语音助手, 逆向工具