What Is a Continuity Layer for AI?
thecontinuitylayer.com/what-is-a-continuity-layerThis site’s working definition, and the anchor other pages cite. It is deliberately narrow — a continuity layer is a specific part of an AI system, not a synonym for memory.
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A continuity layer is the part of an AI system that carries forward governed state across sessions, tools, models, and hosts: what is currently true, what changed, why it changed, by whose authority, and which evidence supports it. It sits above memory and retrieval, and below agent execution, turning stored history into usable, auditable continuity; and it can correct, supersede, revoke, expire, and forget what it carries, with evidence that it did.
Version 1 (July 2026), verbatim, and what changed
A continuity layer is the part of an AI system that carries forward governed state across sessions, tools, and models: what is currently true, what changed, why it changed, and which evidence supports it. It sits above memory and retrieval, and below agent execution, turning stored history into usable, auditable continuity.
Version 2 adds three things the research of 2026 made unavoidable: hosts among the things state has to survive, authority on every write, and forgetting with evidence. The reasons are in the thesis; the framework that turns the definition into a test is the five obligations.
Where it sits
A continuity layer is defined by its position in the stack, not by any one feature.
It sits above the memory and retrieval infrastructure that stores and fetches facts, and below the agents that execute. It consumes what memory holds, governs what counts as current, and — by definition — hands every surface, every model, every tool, the same governed state. Because the layer improves whenever the memory beneath it improves, it is a layer, not a feature.
What it carries forward
Governed state is the authoritative current answer: what is true, what changed, why, and which evidence supports it, with every write passing through a contract.
What it is not
The distinctions that keep the term precise.
Not memory alone
Not retrieval
Not long context
Not a delete button
For the fuller structural version of these distinctions, see the Primer’s Memory Is Not Continuity, and the side-by-side breakdown in AI Memory vs AI Continuity. For what forgetting means, operation by operation, see the erasure ladder; for the whole section, start at The Continuity Layer.