Shubhamsaboo

    Shubhamsaboo/awesome-llm-apps

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

    llm
    agents
    llms
    python
    rag
    Python
    Apache-2.0
    97.3K stars
    14.2K forks
    97.3K watching
    Updated 2/27/2026
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    About awesome-llm-apps

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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.

    🙏 Thanks to our sponsors

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    AI Agents

    🌱 Starter AI Agents

    🚀 Advanced AI Agents

    🎮 Autonomous Game Playing Agents

    🤝 Multi-agent Teams

    🗣️ Voice AI Agents

    🌐 MCP AI Agents

    📀 RAG (Retrieval Augmented Generation)

    💾 LLM Apps with Memory Tutorials

    💬 Chat with X Tutorials

    🔧 LLM Fine-tuning Tutorials

    🧑‍🏫 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

    🚀 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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