Shubham Saboo · 2024-04-29 · notable
Awesome LLM Apps — 100+ Runnable AI Agent and RAG Projects
Curated collection of 100+ runnable LLM applications organized by category: starter agents, advanced agents, multi-agent teams, voice agents, MCP integrations, RAG tutorials, and framework crash courses. 105k stars.
The most-starred collection of runnable LLM app examples on GitHub — 105k stars and growing.
Key specs
| GitHub stars | 105k |
|---|---|
| Projects | 100+ |
| Commits | 963 |
What is it?
Awesome LLM Apps is a curated GitHub repository of over 100 working LLM applications. Unlike typical awesome-lists that just link to other repos, each project here is a complete, runnable application. Categories include starter agents (travel, data analysis, music generation), advanced agents (research, consulting, fraud detection), multi-agent teams, voice agents, MCP integrations, and RAG tutorials. Projects use OpenAI, Anthropic, Gemini, and open-source models.
How does it work?
Each project is a self-contained directory with its own README, requirements, and runnable code. The repo is organized into clear categories so you can find an example close to what you want to build, clone it, and modify it. Framework crash courses for Google ADK and OpenAI SDK are included as onramps.
Why does it matter?
When you are starting a new LLM project, the hardest part is often the blank page. This repo gives you 100+ starting points across the full spectrum of LLM applications. At 105k stars, it is the de facto reference collection for practical LLM app development.
Who is it for?
Developers who learn by reading and modifying working code.
Try it
git clone https://github.com/Shubhamsaboo/awesome-llm-apps