Memory in AI Systems

AI systems use memory to describe information that persists across interactions and can shape later behavior. The term may refer to retrieved context, stored user preferences, agent state, long-term records, workflow history, or governed organizational knowledge.

Core terms: pilot, temporal continuity, temporal context, time horizon, sequence memory, agent memory, RAG, context, retrieval, memory lifecycle, organic memory, persistence, vector database, context drift, Context of Reality.

Terms that change meaning across fields: memory, state, context, activation, trace, consolidation, forgetting.

Return to the Canonical Memory Glossary.