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Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

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🌟 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.

Shubhamsaboo%2Fawesome-llm-apps | Trendshift

🤔 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
  • ❤️‍🩹 AI Breakup Recovery Agent
  • 📊 AI Data Analysis Agent
  • 🩻 AI Medical Imaging Agent
  • 😂 AI Meme Generator Agent (Browser)
  • 🎵 AI Music Generator Agent
  • 🛫 AI Travel Agent (Local & Cloud)
  • ✨ Gemini Multimodal Agent
  • 🌐 Local News Agent (OpenAI Swarm)
  • 🔄 Mixture of Agents
  • 📊 xAI Finance Agent
  • 🔍 OpenAI Research Agent
  • 🕸️ Web Scrapping AI Agent (Local & Cloud)

🚀 Advanced AI Agents

  • 🔍 AI Deep Research Agent
  • 🏗️ AI System Architect Agent
  • 🎯 AI Lead Generation Agent
  • 💰 AI Financial Coach Agent
  • 🎬 AI Movie Production Agent
  • 📈 AI Investment Agent
  • 🏋️‍♂️ AI Health & Fitness Agent
  • 🚀 AI Product Launch Intelligence Agent
  • 🗞️ AI Journalist Agent
  • 🧠 AI Mental Wellbeing Agent
  • 📑 AI Meeting Agent
  • 🧬 AI Self-Evolving Agent
  • 🎧 AI Social Media News and Podcast Agent

🎮 Autonomous Game Playing Agents

  • 🎮 AI 3D Pygame Agent
  • ♜ AI Chess Agent
  • 🎲 AI Tic-Tac-Toe Agent

🤝 Multi-agent Teams

  • 🧲 AI Competitor Intelligence Agent Team
  • 💲 AI Finance Agent Team
  • 🎨 AI Game Design Agent Team
  • 👨‍⚖️ AI Legal Agent Team (Cloud & Local)
  • 💼 AI Recruitment Agent Team
  • 👨‍💼 AI Services Agency (CrewAI)
  • 👨‍🏫 AI Teaching Agent Team
  • 💻 Multimodal Coding Agent Team
  • ✨ Multimodal Design Agent Team
  • 🌏 AI Travel Planner Agent Team

🗣️ Voice AI Agents

  • 🗣️ AI Audio Tour Agent
  • 📞 Customer Support Voice Agent
  • 🔊 Voice RAG Agent (OpenAI SDK)

🌐 MCP AI Agents

  • ♾️ Browser MCP Agent
  • 🐙 GitHub MCP Agent
  • 📑 Notion MCP Agent
  • 🌍 AI Travel Planner MCP Agent

📀 RAG (Retrieval Augmented Generation)

  • 🔗 Agentic RAG
  • 🧐 Agentic RAG with Reasoning
  • 📰 AI Blog Search (RAG)
  • 🔍 Autonomous RAG
  • 🔄 Corrective RAG (CRAG)
  • 🐋 Deepseek Local RAG Agent
  • 🤔 Gemini Agentic RAG
  • 👀 Hybrid Search RAG (Cloud)
  • 🔄 Llama 3.1 Local RAG
  • 🖥️ Local Hybrid Search RAG
  • 🦙 Local RAG Agent
  • 🧩 RAG-as-a-Service
  • ✨ RAG Agent with Cohere
  • ⛓️ Basic RAG Chain
  • 📠 RAG with Database Routing
  • 🖼️ Vision RAG

💾 LLM Apps with Memory Tutorials

  • 💾 AI ArXiv Agent with Memory
  • 🛩️ AI Travel Agent with Memory
  • 💬 Llama3 Stateful Chat
  • 📝 LLM App with Personalized Memory
  • 🗄️ Local ChatGPT Clone with Memory
  • 🧠 Multi-LLM Application with Shared Memory

💬 Chat with X Tutorials

  • 💬 Chat with GitHub (GPT & Llama3)
  • 📨 Chat with Gmail
  • 📄 Chat with PDF (GPT & Llama3)
  • 📚 Chat with Research Papers (ArXiv) (GPT & Llama3)
  • 📝 Chat with Substack
  • 📽️ Chat with YouTube Videos

🔧 LLM Fine-tuning Tutorials

  • 🔧 Llama 3.2 Fine-tuning

🚀 Getting Started

  1. Clone the repository

    git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git 
    
  2. Navigate to the desired project directory

    cd awesome-llm-apps/starter_ai_agents/ai_travel_agent
    
  3. Install the required dependencies

    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 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! 🙏

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