What question did this study set out to answer?

The research aims to explore how structural memory impacts stability and collapse dynamics in agent systems.

March 18, 2026Open Access

REMIND: Structural Memory Accumulation and Collapse Dynamics in Topological Agent Systems

Key Points

The research aims to explore how structural memory impacts stability and collapse dynamics in agent systems.
Conducted an 8-cycle lifecycle experiment to analyze trauma accumulation and resilience.
Performed a 2x2 factorial dissection to test the Structural Capacity Principle.
Utilized HUGO v3.0 substrate for the experiments with 15 seeds per condition.
Demonstrated oscillatory resilience in the agent systems.
Found that monotonic trauma leads to catastrophic failure.
Established field state as a key determinant of collapse capacity.

Abstract

REMIND (REgenerative Memory and Interior Normative Dispersals) extends the HUGO homeostatic framework with intensity-dependent structural memory. Paper v1 reports two experiments on the HUGO v3.0 substrate: an 8-cycle lifecycle experiment demonstrating oscillatory resilience, monotonic trauma accumulation, and catastrophic failure; and a 2x2 factorial dissection (15 seeds per condition) establishing the Structural Capacity Principle — field state as the primary determinant of structural collapse capacity. HUGO AGI Framework — Module IIIRepository: https://github.com/aprimora-ai/hugo-framework-remind

REMIND: Structural Memory Accumulation and Collapse Dynamics in Topological Agent Systems

Key Points

Abstract

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