awesome-ai-apps

Why we included this project

This is a community-maintained index of working LLM application examples rather than a single deployable product. It collects more than a hundred committed projects, spanning starter agents, voice assistants, RAG pipelines, memory agents, MCP-backed tools, and fine-tuning recipes, each with its own subdirectory and setup notes. That structure makes it a practical learning path: a developer can pick a framework they already know, whether that is LangChain, LangGraph, CrewAI, or smolagents, and find a concrete, runnable reference implementation to study or adapt. The curation groups examples by complexity, from quick-start templates to advanced multi-agent systems, and links tutorials and videos for deeper context. Teams comparing agent frameworks or RAG stacks will find real code across many options in one place.