Episodic memory
Events retain time, source, participants and surrounding context instead of collapsing into timeless notes.
research://memory
SymbioRAP Memory
A long-term memory engine above deterministic persistence: it turns evidence and events into temporal, explainable and revisable memory without making one model the owner of identity.
RESEARCHRESEARCH · ARCHITECTURE IN DEVELOPMENT
research://thesis
Memory should preserve history without freezing interpretation.
Personal AI needs more than retrieval over a document pile. SymbioRAP Memory investigates how episodes, facts, entities, relationships and changing interpretations can coexist with provenance, correction, relevance and deliberate forgetting.
focus://memory
Research focus
Semantic & entity memory
Entities, concepts and relations can consolidate across episodes while remaining linked back to evidence.
Temporal change
Supersession and time-aware state distinguish what was true, what changed and what is currently believed.
Controlled consolidation
Retrieval, relevance, decay, correction and forgetting are explicit mechanisms rather than side effects of a model prompt.
architecture://working-model
Memory above storage: interpretation can evolve while evidence remains stable.
The Memory Engine is designed above a stable persistence API. SynapseFS owns source-of-truth persistence and evidence/version semantics; SymbioRAP Memory owns episodic/semantic structures, temporal entities, consolidation, context selection, relevance/decay and provenance-aware retrieval.
Evidence intake
Events and observations enter with source, time and confidence context.
Temporal graph
Entities, episodes and relationships can change over time without overwriting history.
Consolidation
Repeated evidence can form higher-level memory while preserving traceability to original observations.
Context selection
Retrieval balances relevance, recency, continuity, contradiction and task context instead of using similarity alone.
research://questions
Open research questions
When should repeated episodes consolidate into semantic memory, and when should they remain separate?
How can corrections propagate without silently rewriting historical evidence?
How should relevance and decay work for personal memory without erasing rare but important events?
How can long-term personalization preserve individuality while still allowing productive disagreement and change?
status://research
SymbioRAP Research
The points shown describe research and implementation directions, not guarantees of finished product functionality.
connect://research
Contribute to the research architecture
For research, funding and technology partners, we share architecture questions, benchmark design and technical work states in qualified collaboration.
Next useful step
Tell us your idea – a few bullet points are enough.
You do not need to define the technical solution. Describe what you want to build or improve and we will map feasibility, a sensible first scope and next steps.
Get a free idea assessment
Four fields are enough. You will receive a concrete response on how to start small and extend the project later.