SITE MAPAI MEMORY RESEARCH

Every page & sectionfor adaptive AI memory.

Crawler sitemap at /sitemap.xml. Machine-readable export at /sitemap-export.json.

Open sitemap.xml ↗Download JSON export ↓
HOME

Adaptive AI Memory Architecture — Research Note 01

Narrative architecture for MMRY: multimodal AI memory, KEG, resolution states, SensAffect, prediction, and evidence ledger.

Keywords: AI memory · adaptive AI memory · multimodal memory · SensAffect

/SITEMAP

Site Map Export

Human-readable and downloadable site map for MMRY AI memory research pages.

AI MEMORY FAQ

Common questions about adaptive AI memory.

What is AI memory in the MMRY architecture?
MMRY defines AI memory as adaptive, provenance-bound access to preserved meaning—not a static database. Multimodal evidence, context, and affect are bound across time with governed resolution from VIVID to FORGOTTEN.
How is MMRY different from RAG or vector-only memory?
MMRY combines a Knowledge–Experience Graph, vector retrieval, semantic memory, temporal trajectories, and affective imprints. Resolution states, protected memories, and epistemic status separate observation from inference.
Does MMRY support multimodal AI memory?
Yes. Voice, text, images, documents, activity, and sensor context enter as timestamped evidence inside memory capsules with graph and vector indices for selective recall.
What is SensAffect in an AI memory stack?
SensAffect is the affective layer: Emotion Atom, Affective Imprint, and Affective Presence. It stores how information relates emotionally without rewriting informational truth.
Is MMRY a product or research architecture?
This site documents a research and engineering architecture with lineage since December 2024, technical specifications, peer-linked evidence, and reference implementations. Live surfaces include mmry.chat and thrpy.chat.