What is AI Memory?

AI memory is the layer that lets agents retain and recall knowledge across sessions - distinct from the context window, distinct from RAG. Types, architecture, and how teams share it.

AI memory is the layer that lets an agent retain knowledge across sessions and recall the relevant part when it matters - the capability a context window cannot provide, because the window resets every session and degrades as it fills.

What counts as memory (and what doesn't)

LayerPersists?Shared?What it is
Context windowno - resets per sessionnoworking memory
RAG indexyesyeswhat you wrote down beforehand (memory vs RAG)
AI memoryyescan bewhat agents learned while working

Memory subdivides into episodic, semantic, and procedural - what happened, what is true, how to do things. Production systems also need supersession (truth changes), abstention (admitting ignorance beats inventing), and - the part most tools skip - sharing: memory scoped to one user dies with that user's sessions.

Personal vs team memory

Most AI memory tools scope memory to a user id. That solves "my assistant remembers me" and nothing else. The harder, more valuable problem is team memory: many agents and humans writing one accumulating corpus with visibility boundaries and conflict handling.

Unison is AI memory built for that case: one API for ingest and recall, a bitemporal knowledge graph underneath, and scope-by-path sharing from private scratch to company truth.

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