Memory governance
Canonical definition. This page establishes the stable meaning of the term “memory governance” within the doctrinal framework published on gautierdorval.com.
This page constitutes neither an operational method, nor an industrializable procedure, nor a promise of result. It serves to reduce ambiguity by describing a conceptual perimeter and interpretation boundaries.
Definition
Memory governance: doctrinal extension applied to stateful systems (agents, advanced RAG, persisted memories) aimed at preventing the fossilization of inferences into facts, by imposing explicit typing of memory objects, minimum traceability, temporal integrity, and compliance breach conditions upon structural modifications.
Scope
- Concerns systems that persist states (memory objects) and reuse them between t0 and t1.
- Covers consolidation (fusion, compression, summary), invalidation, archiving, and controlled forgetting.
- Adds a temporal constraint: a statement can be valid at one moment and invalid at another.
Minimum components
- Typed memory object: origin, status, and statement nature made explicit.
- Traceability: source reference, or explicit declaration of source absence (blocking for factualization).
- Temporal integrity: validity perimeter and prevention of out-of-time reuse.
- Governed consolidation: controlled transformation that preserves provenance and prevents confidence escalation through rewriting.
- Controlled forgetting: explicit invalidation/archiving, without silent deletion.
- Compliance breach: when a structural modification alters the nature of a persisted object, a compliance audit is required.
Recommended internal links
Phase 7 retrieval and memory note
Memory governance must be coordinated with retrieval provenance, corpus admissibility, and resorption. A persisted memory object can reintroduce an old interpretation even after the corpus has been corrected.
Phase 9 memory and correction-control note
This concept is now connected to the phase 9 memory and persistence layer. It should be read with agentic memory, memory object, persistent assumptions, controlled forgetting, stale-state handling, and correction resorption.
The governing rule is that persistence does not equal authority. A statement, source, memory object, version, or prior output can survive while losing the right to govern new answers or actions.
Corpus role and diagnostic use
In the corpus, Memory governance governs the persistence layer of interpretation. It is used when an earlier source, assumption, output, citation, version or memory object continues to influence a later answer. The core issue is not whether the old signal still exists. The issue is whether it still has current authority.
This definition is useful when a system repeats something that was once true, partially true, contextually true or merely common in previous answers. Persistence can make an outdated representation feel stable, especially when it is reinforced by retrieval, summaries, third-party mentions or agent memory.
Failure pattern to detect
The main failure is stale authority. It appears when a persistent assumption survives correction, when a prior output becomes an undeclared premise, or when an older version keeps governing a newer answer. This is why memory must be paired with refresh cycles, deprecation, correction resorption and source hierarchy.
Reading rule
Use this definition with interpretive remanence, interpretive inertia, version power, stale-state handling and correction resorption. The term should help distinguish survival from legitimacy.
Operational examples
A practical audit can use Memory governance in three situations. First, when comparing a canonical page with an AI answer that reuses the vocabulary but changes the governing perimeter. Second, when deciding whether a generated formulation should be accepted as a stable representation or treated as an ungoverned reconstruction. Third, when mapping internal links, service pages, definitions and observations so that the most authoritative route remains visible to both humans and machines.
The term should therefore be tested against concrete outputs, not only defined abstractly. A useful review asks: which source governed the statement, which inference was made, what uncertainty was hidden, and which page should be responsible for the final wording? If the answer to those questions is unclear, the output should be qualified, redirected, logged or refused rather than smoothed into a stronger claim.
Practical boundary
This definition does not create an automatic ranking, citation or recommendation effect. Its value is architectural: it gives the corpus a sharper way to name and test a specific interpretive control point. That sharper naming is what allows later audits, correction cycles and SERP routing decisions to remain consistent.