Awesome LLM Apps

Tue, 10 Feb 2026 18:34:25 -0800

🌟 Awesome LLM Apps

Introduction

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, xAI and open-source models like Qwen or Llama that you can run locally on your computer.

GitHub-Awesome LLM Apps

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

🤔 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.

📂 Featured AI Projects

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 Optimization Tools

🎯 Toonify Token Optimization - Reduce LLM API costs by 30-60% using TOON format
🧠 Headroom Context Optimization - Reduce LLM API costs by 50-90% through intelligent context compression for AI agents (includes persistent memory & MCP support)

🔧 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

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

Clone the repository

1

git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git

Navigate to the desired project directory

1

cd awesome-llm-apps/starter_ai_agents/ai_travel_agent

Install the required dependencies
1

pip install -r requirements.txt
Follow the project-specific instructions in each project’s README.md file to set up and run the app.

LLM-APP on Hanguangwu