Transforming Local Markdown Files into Persistent AI Memory

This project bridges the gap between ephemeral AI interactions and long-term memory by structuring local file traces into a hierarchical Markdown filesystem. It empowers AI agents with personalized context, enabling more accurate and longitudinal task management through local-first RAG.