Awesome AI Apps is an open-source collection for developers that gathers practical LLM applications, RAG examples, and multiple agent implementations (starter, simple, advanced). The repository is suitable for both learning and engineering reference, providing ready-to-run examples and architectural patterns.
Key Features
- Rich examples: starter agents, simple apps, RAG pipelines, and advanced agentic workflows with example code and documentation.
- Clear organization: categorized by agent type and application domain for easy discovery and reuse.
- Fast onboarding: most subprojects include README and dependency instructions for quick setup.
Use Cases
- Learning and teaching: a practical resource for learning agent design and RAG engineering.
- Prototyping: quickly spin up PoCs or example services to validate ideas.
- Reference implementations: compare patterns and techniques for production selection.
Technical Highlights
- Predominantly Python and Jupyter-based examples with modular subprojects.
- Each example is mostly self-contained and can be run independently.
- Community-maintained with demo videos and tutorial playlists to aid adoption.