Shubhamsaboo/awesome-llm-apps

A living repository of more than 100 working LLM application examples, organized around practical patterns like retrieval-augmented generation, autonomous agents, multimodal pipelines, and common SaaS use cases. Each example is self-contained enough to clone, run locally, and adapt rather than just read about. The collection spans integrations with major model providers and frameworks, so you get a realistic sense of how different stacks wire together in production-adjacent code. The real value is speed of orientation. Instead of staring at blank files while piecing together documentation from five different sources, you start with something that already runs and work backward to understand it or forward to customize it. That feedback loop is genuinely faster for builders who think in code rather than diagrams. Concrete audience: solo developers prototyping AI features for a SaaS product, technical co-founders doing early validation, or small teams who need a reference point before committing to an architecture. The honest reservation is that curation quality varies across examples. Some are polished and well-commented, others feel like quick proofs of concept with minimal explanation, so expect to do your own cleanup before treating anything as production-ready. -> Best for: technical founders and indie hackers who want working AI starter code they can ship from rather than just learn from.