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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, xAI and open-source models like Qwen or Llama that you can run locally on your computer.

🤔 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.

🙏 Thanks to our sponsors

Tiger Data MCP	Speechmatics
Okara AI	Become a Sponsor

📂 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 * 🔄 Mixture of Agents * 📊 xAI Finance Agent * 🔍 OpenAI Research Agent * 🕸️ Web Scraping AI Agent (Local & Cloud SDK)

🚀 Advanced AI Agents

* 🏚️ 🍌 AI Home Renovation Agent with Nano Banana * 🔍 AI Deep Research Agent * 🤝 AI Consultant Agent * 🏗️ AI System Architect 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 Real Estate Agent Team * 👨‍💼 AI Services Agency (CrewAI) * 👨‍🏫 AI Teaching Agent Team * 💻 Multimodal Coding Agent Team * ✨ Multimodal Design Agent Team * 🎨 🍌 Multimodal UI/UX Feedback Agent Team with Nano Banana * 🌏 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 with Embedding Gemma * 🧐 Agentic RAG with Reasoning * 📰 AI Blog Search (RAG) * 🔍 Autonomous RAG * 🔄 Contextual AI RAG Agent * 🔄 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 Optimization Tools

* 🎯 Toonify Token Optimization - Reduce LLM API costs by 30-60% using TOON format

🔧 LLM Fine-tuning Tutorials

* Gemma 3 Fine-tuning * Llama 3.2 Fine-tuning

🧑‍🏫 AI Agent Framework Crash Course

Google ADK Crash Course - Starter agent; model‑agnostic (OpenAI, Claude) - Structured outputs (Pydantic) - Tools: built‑in, function, third‑party, MCP tools - Memory; callbacks; Plugins - Simple multi‑agent; Multi‑agent patterns

OpenAI Agents SDK Crash Course - Starter agent; function calling; structured outputs - Tools: built‑in, function, third‑party integrations - Memory; callbacks; evaluation - Multi‑agent patterns; agent handoffs - Swarm orchestration; routing logic

🚀 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.

Thank You, Community, for the Support! 🙏

🌟 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.