Awesome LLM Apps

Curated collection of cutting-edge LLM applications for diverse domains

2025-06-14

Awesome LLM Applications Repository

This project is a meticulously curated collection of state-of-the-art Large Language Model (LLM) applications demonstrating practical implementations across various domains. The repository features a wide array of applications built with:

  • Retrieval-Augmented Generation (RAG) systems
  • AI Agents and Multi-agent Teams
  • Memory-enhanced applications
  • Voice Agents and Multimodal implementations

Key Features

The repository includes diverse applications such as:

  • 🎙️ AI Blog to Podcast Agent
  • ❤️🩹 AI Breakup Recovery Agent
  • 📊 AI Data Analysis Agent
  • 😂 AI Meme Generator Agent
  • 🎵 AI Music Generator Agent
  • 🛫 AI Travel Agent (Local & Cloud)
  • 👨⚖️ AI Legal Agent Team
  • 💼 AI Recruitment Agent Team
  • � AI Medical Imaging Agent

Technical Highlights

  1. Multiple Model Support: Applications utilize models from OpenAI, Anthropic, Google Gemini, and open-source alternatives like DeepSeek, Qwen, and Llama that can run locally.

  2. Advanced Architectures: Features implementations of:

    • Agentic RAG with Reasoning
    • Corrective RAG (CRAG)
    • Hybrid Search RAG
    • Multi-LLM applications with Shared Memory
  3. Practical Implementations: Includes real-world applications like:

    • Chat with PDF/Gmail/YouTube
    • Local ChatGPT clones with memory
    • AI Financial Coach
    • AI Product Launch Intelligence

Getting Started

git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/starter_ai_agents/ai_travel_agent
pip install -r requirements.txt

Each project contains detailed setup instructions in its README.md file.

Contribution

The project welcomes contributions including:

  • New LLM application ideas
  • Improvements to existing implementations
  • Documentation enhancements

This repository serves as both an educational resource and a practical toolkit for developers looking to implement LLM technologies in innovative ways across various industries and use cases.

Artificial Intelligence Large Language Models RAG AI Agents Multi-agent Systems