How to Build an Evolving Three-Layer Memory System for Your AI

How to Build an Evolving Three-Layer Memory System for Your AI In the realm of AI-assisted productivity, a fundamental pain point persists: 「most AI assistants are forgetful by default.」 Even with advanced systems like Clawdbot—which possess solid native primitives for persistence—memory is often static. It acts as a storage locker rather than a dynamic brain. 「This article aims to answer a core question: How can we upgrade a static AI memory system into a self-maintaining, compounding knowledge graph that evolves automatically as your life changes?」 The answer lies in implementing a “Three-Layer Memory Architecture.” By segmenting raw logs, entity-based knowledge …