awesome-llm-apps

by Shubhamsaboo

Likes

79,208

Downloads

79,208

Task

tool

Last Updated

11/20/2025

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๐Ÿ“ฆ GitHub Details

Language: Python
Stars: 79,208
Forks: 10,580
Open Issues: 3
License: Apache License 2.0
Project Homepage โ†—

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๐ŸŒŸ 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

๐Ÿค” Why Awesome LLM Apps?

  • ๐Ÿ’ก Discover practical and creative ways LLMs can be applied across different domains, from code repositories to email inboxes and more.
  • ๐Ÿ”ฅ Explore apps that combine LLMs from OpenAI, Anthropic, Gemini, and open-source alternatives with AI Agents, Agent Teams, MCP & RAG.
  • ๐ŸŽ“ Learn from well-documented projects and contribute to the growing open-source ecosystem of LLM-powered applications.

๐Ÿ™ Thanks to our sponsors

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๐Ÿ“‚ Featured AI Projects

AI Agents

๐ŸŒฑ Starter AI Agents

๐Ÿš€ Advanced AI Agents

๐ŸŽฎ Autonomous Game Playing Agents

๐Ÿค Multi-agent Teams

๐Ÿ—ฃ๏ธ Voice AI Agents

mcp logo MCP AI Agents

๐Ÿ“€ RAG (Retrieval Augmented Generation)

๐Ÿ’พ LLM Apps with Memory Tutorials

๐Ÿ’ฌ Chat with X Tutorials

๐ŸŽฏ LLM Optimization Tools

๐Ÿ”ง LLM Fine-tuning Tutorials

๐Ÿง‘โ€๐Ÿซ AI Agent Framework Crash Course

google logo Google ADK Crash Course

  • Starter agent; modelโ€‘agnostic (OpenAI, Claude)
  • Structured outputs (Pydantic)
  • Tools: builtโ€‘in, function, thirdโ€‘party, MCP tools
  • Memory; callbacks; Plugins
  • Simple multiโ€‘agent; Multiโ€‘agent patterns

openai logo OpenAI Agents SDK Crash Course

  • Starter agent; function calling; structured outputs
  • Tools: builtโ€‘in, function, thirdโ€‘party integrations
  • Memory; callbacks; evaluation
  • Multiโ€‘agent patterns; agent handoffs
  • Swarm orchestration; routing logic

๐Ÿš€ 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.

github logo Thank You, Community, for the Support! ๐Ÿ™

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๐ŸŒŸ Donโ€™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.

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