Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
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.claude feat: Add ThinkPath Chatbot application with guided thinking paths and local LLM integration 2025-08-17 21:24:54 -05:00
.github/workflows Added Claude Code to the repo 2025-05-22 18:56:50 -05:00
advanced_ai_agents feat: Implement AI Recipe & Meal Planning Agent with recipe search, nutrition analysis, cost estimation, and meal planning features 2025-08-14 02:03:44 -05:00
advanced_llm_apps feat: Add ThinkPath Chatbot application with guided thinking paths and local LLM integration 2025-08-17 21:24:54 -05:00
ai_agent_framework_crash_course/google_adk_crash_course feat: Add Loop and Parallel Agent tutorials to Google ADK crash course 2025-08-12 23:13:49 -05:00
docs/banner feat: updated teaching agent team code 2025-01-11 02:00:52 -06:00
mcp_ai_agents new one - ai gtm email 2025-08-12 00:47:17 +05:30
rag_tutorials Update agentic rag gpt5 README.md 2025-08-08 17:07:40 -05:00
starter_ai_agents Merge pull request #257 from BartugKaan/feature/travel-agent-ics-export 2025-07-31 22:04:20 -05:00
voice_ai_agents Updated repo structure 2025-04-17 16:01:23 -05:00
.gitignore Added Claude Code to the repo 2025-05-22 18:56:50 -05:00
LICENSE Update LICENSE 2024-11-04 19:31:10 -06:00
README.md feat: Add ThinkPath Chatbot application with guided thinking paths and local LLM integration 2025-08-17 21:24:54 -05:00

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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.

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; modelagnostic (OpenAI, Claude)
    • Structured outputs (Pydantic)
    • Tools: builtin, function, thirdparty, MCP tools
    • Memory; callbacks; Plugins
    • Simple multiagent; Multiagent 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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🌟 Dont 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.