The Memory That Does Not Forget: The Wunderblock, Conditional Memory, and Variable Resolution in Psychoanalytic AI

This essay presents a four-layer hierarchical memory architecture for retrieval-augmented systems applied to psychoanalytic domains, grounded in the Freudian Wunderblock as a design analogy. It argues that the flat memory of conventional RAG, which treats the whole corpus as an undifferentiated mass of text, destroys the temporal, typological, and genealogical distinctions that make psychoanalytic knowledge operable. It proposes four concepts: conditional memory as an alternative to flat memory, the curated memory unit as a minimal record that preserves identity, context, type, and provenance, conditional unavailability as a reversible demotion that keeps demoted knowledge recoverable, and variable resolution as the capacity to answer with the granularity each query demands. The specific contribution is not hierarchical, temporal, or forgetting-aware memory, which an established line of work already provides, but the combination, for psychoanalytic research, of typological layers, variable resolution, terminological curation, provenance, and the governance of conflicts between theoretical traditions. The Engram module of Cheng et al. (2026) is an in-model lookup primitive and is distinct from the external, curated memory described here. Cost observations are reported as illustrative hypothetical scenarios rather than as the results of a controlled evaluation.