awesome-llm-apps/README.md

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🌟 Awesome LLM Apps

A curated collection of awesome LLM apps built with RAG and AI agents. 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.

🤔 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 RAG and AI Agents.
• 🎓 Learn from well-documented projects and contribute to the growing open-source ecosystem of LLM-powered applications.

🚨 Open Source AI Agent Hackathon! 🚨

We're launching a Global AI Agent Hackathon in collaboration with AI Agent ecosystem partners — open to all developers, builders, and startups working on agents, RAG, tool use, or multi-agent systems.

💰 Win up to $20,000 in cash by building Agents

• 🏅 10 winners: $300 each
• 🥉 10 winners: $500 each
• 🥈 5 winners: $1,000 each
• 🥇 1 winner: $2,000
• 🏆 GRAND PRIZE: $5,000 🏆

🎁 Bonus

• Top 5 projects will be featured in the top trending Awesome LLM Apps repo.

🤝 Partners

Unwind AI, Agno and more Agent ecosystem companies joining soon.

📅 Here's the timeline:

• April 3rd - Final dates revealed
• April 10th - Prize and success criteria announced
• April 15th (tentative) - Hackathon starts
• May 30th (tentative) - Hackathon ends

Join us for a month of building Agents!

Prizes will be distributed on an ongoing basis and continue till all prizes are awarded.

⭐ Star this repo and subscribe to Unwind AI for latest updates.

🤝 Want to join us as a partner or judge?

If you're a company in the AI agent ecosystem or would like to judge the hackathon, reach out to Shubham Saboo or Ashpreet Bedi on X to partner. Let’s make this the biggest open source AI Agent hackathon.

📂 Featured AI Projects

AI Agents

• 💼 AI Customer Support Agent
• 📈 AI Investment Agent
• 👨‍⚖️ AI Legal Agent Team
• 💼 AI Recruitment Agent Team
• 👨‍💼 AI Services Agency
• 🧲 AI Competitor Intelligence Agent Team
• 🏋️‍♂️ AI Health & Fitness Planner Agent
• 📈 AI Startup Trend Analysis Agent
• 🗞️ AI Journalist Agent
• 💲 AI Finance Agent Team
• 🎯 AI Lead Generation Agent
• 💰 AI Personal Finance Agent
• 🩻 AI Medical Scan Diagnosis Agent
• 👨‍🏫 AI Teaching Agent Team
• 🛫 AI Travel Agent
• 🎬 AI Movie Production Agent
• 📰 Multi-Agent AI Researcher
• 💻 Multimodal AI Coding Agent Team with o3-mini and Gemini
• 📑 AI Meeting Agent
• ♜ AI Chess Agent Game
• 🏠 AI Real Estate Agent
• 🌐 Local News Agent OpenAI Swarm
• 📊 AI Finance Agent with xAI Grok
• 🎮 AI 3D PyGame Visualizer with DeepSeek R1
• 🧠 AI Reasoning Agent
• 🧬 Multimodal AI Agent

RAG (Retrieval Augmented Generation)

• 🔍 Autonomous RAG
• 🔗 Agentic RAG
• 🤔 Agentic RAG with Gemini Flash Thinking
• 🐋 Deepseek Local RAG Reasoning Agent
• 🔄 Llama3.1 Local RAG
• 🧩 RAG-as-a-Service
• 🦙 Local RAG Agent
• 👀 RAG App with Hybrid Search
• 🖥️ Local RAG App with Hybrid Search
• 📠 RAG Agent with Database Routing
• 🔄 Corrective RAG Agent

MCP AI Agents

• 🐙 MCP GitHub Agent

LLM Apps with Memory

• 💾 AI Arxiv Agent with Memory
• 📝 LLM App with Personalized Memory
• 🛩️ AI Travel Agent with Memory
• 🗄️ Local ChatGPT with Memory

Chat with X

• 💬 Chat with GitHub Repo
• 📨 Chat with Gmail
• 📄 Chat with PDF
• 📚 Chat with Research Papers
• 📝 Chat with Substack Newsletter
• 📽️ Chat with YouTube Videos

LLM Finetuning

• 🌐 Llama3.2 Finetuning

Advanced Tools and Frameworks

• 🧪 Gemini Multimodal Chatbot
• 🔄 Mixture of Agents
• 🌐 MultiLLM Chat Playground
• 🔗 LLM Router App
• 💬 Local ChatGPT Clone
• 🌍 Web Scraping AI Agent
• 🔍 Web Search AI Assistant
• 🧪 Cursor AI Experiments

🚀 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/chat_with_X_tutorials/chat_with_gmail
   

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! 🙏

🌟 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.