/awesome-llm-apps

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 logoOpenAI , anthropic logoAnthropic, google logoGoogle, X logoxAI and open-source models like alibaba logoQwen or meta logoLlama 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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📂 Featured AI Projects

AI Agents

🌱 Starter AI Agents

🚀 Advanced AI Agents

🎮 Autonomous Game Playing Agents

🤝 Multi-agent Teams

🗣️ Voice AI Agents

mcp logo 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 logo 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 logo 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

    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.

github logo Thank You, Community, for the Support! 🙏

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