As the landscape of AI application development evolves, tools like Replit and Chroma are making it increasingly accessible for developers to create AI-driven applications with capabilities such as state, memory, and pluggable knowledge. These advancements allow for the development of dynamic applications, including question-answering bots and personal assistant agents that can interact with APIs. The integration of AI native storage and memory, particularly through embeddings, is crucial for representing data in a format that aligns with AI models. This representation enables applications to find relevant data and use it as context for large language models to accurately respond to queries, facilitating a transformative era where the frontiers of AI and software development expand daily.