Awesome LLM Apps
100+ runnable AI agent and RAG apps you can clone, customize, and ship
About Awesome LLM Apps
Awesome LLM Apps is a curated collection of more than 100 AI agent and RAG applications you can actually run — not just links, but working code you clone, customize, and ship. Each app demonstrates a real pattern, from multi-agent teams to retrieval pipelines.
Why it is worth bookmarking
If you learn best by reading real implementations, this is one of the fastest ways to see how production-shaped agent and RAG apps are wired together. It spans models, frameworks, and use cases, so you can find a starting point close to whatever you are building.
- 100+ runnable agent and RAG apps with source code
- Covers multi-agent systems, RAG, and tool use
- A practical reference library for builders
Browse the collection on GitHub.
The facts
- Type
- Guides
- Tags
- AIDeveloper Tools
- Listed
- July 13, 2026
More Guides
See all →- The September Cut Took 17% of My Claude Code Week. Subagents Took 48%455 sessions of logs show where a Claude Code week actually goes, and which saving tips work.
- Evidence-Driven Development: Give Your Coding Agent Something to ProveWrite a claim that can lose, break the app on purpose, and keep evidence your agent can't fake.
- Slopsquatting: Your AI Invented a Package, and an Attacker Was WaitingNearly 1 in 5 AI-suggested packages in one study did not exist. How attackers use that.
- Free the Models: Harness Design at the FrontierReplit stopped routing work for the model and let the model decide. Here are the numbers.
- UpGuard: 16,326 Supabase Databases Exposing DataThe largest study of Supabase misconfigurations: thousands of app databases readable by anyone.