base on Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models. <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> | <a href="https://www.readme-i18n.com/Shubhamsaboo/awesome-llm-apps?lang=es">Español</a> | <a href="https://www.readme-i18n.com/Shubhamsaboo/awesome-llm-apps?lang=fr">français</a> | <a href="https://www.readme-i18n.com/Shubhamsaboo/awesome-llm-apps?lang=ja">日本語</a> | <a href="https://www.readme-i18n.com/Shubhamsaboo/awesome-llm-apps?lang=ko">한국어</a> | <a href="https://www.readme-i18n.com/Shubhamsaboo/awesome-llm-apps?lang=pt">Português</a> | <a href="https://www.readme-i18n.com/Shubhamsaboo/awesome-llm-apps?lang=ru">Русский</a> | <a href="https://www.readme-i18n.com/Shubhamsaboo/awesome-llm-apps?lang=zh">中文</a> </p> <hr/> # 🌟 Awesome LLM Apps A curated collection of **Awesome LLM apps built with RAG, AI Agents, Multi-agent Teams, MCP, Voice Agents, and more.** This repository features LLM apps that use models from OpenAI, Anthropic, Google, and open-source models like DeepSeek, Qwen or Llama that you can run locally on your computer. <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> ## 🤔 Why Awesome LLM Apps? - 💡 Discover practical and creative ways LLMs can be applied across different domains, from code repositories to email inboxes and more. - 🔥 Explore apps that combine LLMs from OpenAI, Anthropic, Gemini, and open-source alternatives with AI Agents, Agent Teams, MCP & RAG. - 🎓 Learn from well-documented projects and contribute to the growing open-source ecosystem of LLM-powered applications. ## 📂 Featured AI Projects ### AI Agents ### 🌱 Starter AI Agents * [🎙️ AI Blog to Podcast Agent](starter_ai_agents/ai_blog_to_podcast_agent/) * [❤️‍🩹 AI Breakup Recovery Agent](starter_ai_agents/ai_breakup_recovery_agent/) * [📊 AI Data Analysis Agent](starter_ai_agents/ai_data_analysis_agent/) * [🩻 AI Medical Imaging Agent](starter_ai_agents/ai_medical_imaging_agent/) * [😂 AI Meme Generator Agent (Browser)](starter_ai_agents/ai_meme_generator_agent_browseruse/) * [🎵 AI Music Generator Agent](starter_ai_agents/ai_music_generator_agent/) * [🛫 AI Travel Agent (Local & Cloud)](starter_ai_agents/ai_travel_agent/) * [✨ Gemini Multimodal Agent](starter_ai_agents/gemini_multimodal_agent_demo/) * [🌐 Local News Agent (OpenAI Swarm)](starter_ai_agents/local_news_agent_openai_swarm/) * [🔄 Mixture of Agents](starter_ai_agents/mixture_of_agents/) * [📊 xAI Finance Agent](starter_ai_agents/xai_finance_agent/) * [🔍 OpenAI Research Agent](starter_ai_agents/opeani_research_agent/) * [🕸️ Web Scrapping AI Agent (Local & Cloud)](starter_ai_agents/web_scrapping_ai_agent/) ### 🚀 Advanced AI Agents * [🔍 AI Deep Research Agent](advanced_ai_agents/single_agent_apps/ai_deep_research_agent/) * [🏗️ AI System Architect Agent](advanced_ai_agents/single_agent_apps/ai_system_architect_r1/) * [🎯 AI Lead Generation Agent](advanced_ai_agents/single_agent_apps/ai_lead_generation_agent/) * [💰 AI Financial Coach Agent](advanced_ai_agents/multi_agent_apps/ai_financial_coach_agent/) * [🎬 AI Movie Production Agent](advanced_ai_agents/single_agent_apps/ai_movie_production_agent/) * [📈 AI Investment Agent](advanced_ai_agents/single_agent_apps/ai_investment_agent/) * [🏋️‍♂️ AI Health & Fitness Agent](advanced_ai_agents/single_agent_apps/ai_health_fitness_agent/) * [🚀 AI Product Launch Intelligence Agent](advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent) * [🗞️ AI Journalist Agent](advanced_ai_agents/single_agent_apps/ai_journalist_agent/) * [🧠 AI Mental Wellbeing Agent](advanced_ai_agents/multi_agent_apps/ai_mental_wellbeing_agent/) * [📑 AI Meeting Agent](advanced_ai_agents/single_agent_apps/ai_meeting_agent/) * [🧬 AI Self-Evolving Agent](advanced_ai_agents/multi_agent_apps/ai_Self-Evolving_agent/) ### 🎮 Autonomous Game Playing Agents * [🎮 AI 3D Pygame Agent](advanced_ai_agents/autonomous_game_playing_agent_apps/ai_3dpygame_r1/) * [♜ AI Chess Agent](advanced_ai_agents/autonomous_game_playing_agent_apps/ai_chess_agent/) * [🎲 AI Tic-Tac-Toe Agent](advanced_ai_agents/autonomous_game_playing_agent_apps/ai_tic_tac_toe_agent/) ### 🤝 Multi-agent Teams * [🧲 AI Competitor Intelligence Agent Team](advanced_ai_agents/multi_agent_apps/agent_teams/ai_competitor_intelligence_agent_team/) * [💲 AI Finance Agent Team](advanced_ai_agents/multi_agent_apps/agent_teams/ai_finance_agent_team/) * [🎨 AI Game Design Agent Team](advanced_ai_agents/multi_agent_apps/agent_teams/ai_game_design_agent_team/) * [👨‍⚖️ AI Legal Agent Team (Cloud & Local)](advanced_ai_agents/multi_agent_apps/agent_teams/ai_legal_agent_team/) * [💼 AI Recruitment Agent Team](advanced_ai_agents/multi_agent_apps/agent_teams/ai_recruitment_agent_team/) * [👨‍💼 AI Services Agency (CrewAI)](advanced_ai_agents/multi_agent_apps/agent_teams/ai_services_agency/) * [👨‍🏫 AI Teaching Agent Team](advanced_ai_agents/multi_agent_apps/agent_teams/ai_teaching_agent_team/) * [💻 Multimodal Coding Agent Team](advanced_ai_agents/multi_agent_apps/agent_teams/multimodal_coding_agent_team/) * [✨ Multimodal Design Agent Team](advanced_ai_agents/multi_agent_apps/agent_teams/multimodal_design_agent_team/) ### 🗣️ Voice AI Agents * [🗣️ AI Audio Tour Agent](voice_ai_agents/ai_audio_tour_agent/) * [📞 Customer Support Voice Agent](voice_ai_agents/customer_support_voice_agent/) * [🔊 Voice RAG Agent (OpenAI SDK)](voice_ai_agents/voice_rag_openaisdk/) ### 🌐 MCP AI Agents * [♾️ Browser 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 Travel Planner MCP Agent](mcp_ai_agents/ai_travel_planner_mcp_agent_team) ### 📀 RAG (Retrieval Augmented Generation) * [🔗 Agentic RAG](rag_tutorials/agentic_rag/) * [🧐 Agentic RAG with Reasoning](rag_tutorials/agentic_rag_with_reasoning/) * [📰 AI Blog Search (RAG)](rag_tutorials/ai_blog_search/) * [🔍 Autonomous RAG](rag_tutorials/autonomous_rag/) * [🔄 Corrective RAG (CRAG)](rag_tutorials/corrective_rag/) * [🐋 Deepseek Local RAG Agent](rag_tutorials/deepseek_local_rag_agent/) * [🤔 Gemini Agentic RAG](rag_tutorials/gemini_agentic_rag/) * [👀 Hybrid Search RAG (Cloud)](rag_tutorials/hybrid_search_rag/) * [🔄 Llama 3.1 Local RAG](rag_tutorials/llama3.1_local_rag/) * [🖥️ Local Hybrid Search RAG](rag_tutorials/local_hybrid_search_rag/) * [🦙 Local RAG Agent](rag_tutorials/local_rag_agent/) * [🧩 RAG-as-a-Service](rag_tutorials/rag-as-a-service/) * [✨ RAG Agent with Cohere](rag_tutorials/rag_agent_cohere/) * [⛓️ Basic RAG Chain](rag_tutorials/rag_chain/) * [📠 RAG with Database Routing](rag_tutorials/rag_database_routing/) * [🖼️ Vision RAG](rag_tutorials/vision_rag/) ### 💾 LLM Apps with Memory Tutorials * [💾 AI ArXiv Agent with Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/) * [🛩️ AI Travel Agent with Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/ai_travel_agent_memory/) * [💬 Llama3 Stateful Chat](advanced_llm_apps/llm_apps_with_memory_tutorials/llama3_stateful_chat/) * [📝 LLM App with Personalized Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/llm_app_personalized_memory/) * [🗄️ Local ChatGPT Clone with Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/local_chatgpt_with_memory/) * [🧠 Multi-LLM Application with Shared Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/multi_llm_memory/) ### 💬 Chat with X Tutorials * [💬 Chat with GitHub (GPT & Llama3)](advanced_llm_apps/chat_with_X_tutorials/chat_with_github/) * [📨 Chat with Gmail](advanced_llm_apps/chat_with_X_tutorials/chat_with_gmail/) * [📄 Chat with PDF (GPT & Llama3)](advanced_llm_apps/chat_with_X_tutorials/chat_with_pdf/) * [📚 Chat with Research Papers (ArXiv) (GPT & Llama3)](advanced_llm_apps/chat_with_X_tutorials/chat_with_research_papers/) * [📝 Chat with Substack](advanced_llm_apps/chat_with_X_tutorials/chat_with_substack/) * [📽️ Chat with YouTube Videos](advanced_llm_apps/chat_with_X_tutorials/chat_with_youtube_videos/) ### 🔧 LLM Fine-tuning Tutorials * [🔧 Llama 3.2 Fine-tuning](advanced_llm_apps/llm_finetuning_tutorials/llama3.2_finetuning/) ## 🚀 Getting Started 1. **Clone the repository** ```bash git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git ``` 2. **Navigate to the desired project directory** ```bash cd awesome-llm-apps/starter_ai_agents/ai_travel_agent ``` 3. **Install the required dependencies** ```bash pip install -r requirements.txt ``` 4. **Follow the project-specific instructions** in each project's `README.md` file to set up and run the app. ## 🤝 Contributing to Open Source Contributions are welcome! If you have any ideas, improvements, or new apps to add, please create a new [GitHub Issue](https://github.com/Shubhamsaboo/awesome-llm-apps/issues) or submit a pull request. Make sure to follow the existing project structure and include a detailed `README.md` for each new app. ### Thank You, Community, for the Support! 🙏 [](https://star-history.com/#Shubhamsaboo/awesome-llm-apps&Date) 🌟 **Don’t miss out on future updates! Star the repo now and be the first to know about new and exciting LLM apps with RAG and AI Agents.** ", Assign "at most 3 tags" to the expected json: {"id":"9876","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"