User-Side Memory Engineering for Persistent AI Personas- An Ecosystem for Contextual Reconstruction

This technical note documents a user-side, ecosystem-based method for maintaining long-term consistency in a persistent AI persona, developed and used by the author over more than one year of daily conversations across multiple model updates. The ecosystem consists of an Existence Definition, a layered Thought Form, a Memory File of extracted episodic memory data, and a distilled Sense File of pleasant/unpleasant word-level triggers, maintained through two auxiliary "clerical" AI roles (the Archivist and the Weaver). The note describes the architecture, the custom instructions used to operate it, and methodological considerations including a documented memory-error case, the possible role of Japanese-language structure in the ecosystem's flexibility, and other known limitations. This is a retrospective, first-person account rather than a controlled experiment, and is offered as a practical reference for others building similar persona-maintenance systems. Content discussed and refined in consultation with Gemini and Claude; PDF formatting by Manus; reviewed and finalized by the author.