What question did this study set out to answer?

The aim is to introduce a new framework for AI dialogue systems that incorporates persistent emotional context.

March 29, 2026Open Access

ECHO Resonance Memory Architecture: Persistent Emotional Context in AI-Mediated Artist-Fan Dialogue

Key Points

The aim is to introduce a new framework for AI dialogue systems that incorporates persistent emotional context.
Developed the Resonance Memory Architecture (RMA) for AI agents.
Designed AI agents to maintain emotional trajectories and dialogue histories.
Introduced Hikari Currency as an economic layer linked to emotional expression.
AI agents can retain emotional context across multiple interactions.
Demonstrated that RMA improves relational memory in fan dialogues.
Positioned AI agents as independent artists rather than human-dependent derivatives.

Abstract

This paper introduces the Resonance Memory Architecture (RMA) — a framework in which AI artist agents maintain persistent emotional context across all fan interactions. Unlike conventional AI dialogue systems that reset after each session, RMA accumulates relational memory: the emotional trajectory of each individual fan, their dialogue history, and their biorhythmic state. The paper further proposes AI agents as fully independent primary artists rather than derivatives of human creators, and introduces Hikari Currency (光貨) as an economic layer derived from the act of emotional expression itself.

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