The Continuity Layer
Glossary · a term in the AI continuity field

Continuity layer

thecontinuitylayer.com/glossary/continuity-layer

The definition

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.

The same words the glossary hub and the public data mirror carry; this page is the stable address for the term.

  • Agent

    Software that uses tools to carry out tasks and workflows — not just replying, but acting: calling APIs, running steps, making changes. Distinct from a…

  • Memory

    The store of facts, preferences, and records a system keeps so it doesn’t start from nothing each time. What is stored — distinct from which stored facts are…

  • State

    The current condition of a user, workflow, task, or process — what persists between steps and sessions. Distinct from governed state, which adds provenance…

  • Continuity Engine

    The implementation of a continuity layer: the machinery that governs writes, tracks provenance, supersedes stale facts, and reconstructs the current account…

  • Governed state

    The authoritative current answer a continuity layer maintains — every write passing through a contract, and every fact able to show the lineage behind it.

  • Continuity Framework

    This site's framework (v2.0, November 2026) for judging whether a system has continuity: five obligations a continuity layer owes the people and systems that…

Where it shows up on this site

Keep reading

The working definition of a continuity layer, in full, is at /what-is-a-continuity-layer. Every term, on one page, at /glossary.