The Governance Gap in Agentic Memory

The Governance Gap in Agentic Memory - a position paper proposing Substrate-Lens-Frame (SLF), a sovereign, auditable memory protocol for AI agents.

AI agents now run on persistent memory, and that memory has become its own layer in the stack. Almost all of the effort in that layer goes to one question: how well can the system recall the right fact at the right time? That work is critically important. It leaves a second question unanswered, and it is the one that decides whether agent memory can be trusted with anything that matters: governance. Today's systems can recall a fact, but they cannot reliably say who is allowed to see it, how its meaning changes by role and jurisdiction, whether two stored facts contradict each other, or what was disclosed to whom. This paper names that gap, argues that it is structural, and proposes a protocol that addresses it.

The proposal is Substrate-Lens-Frame (SLF), built around one operational primitive, render(substrate, lens, frame) -> receipt: a fact carries its own access rules; a lens reads it through a consumer-scoped projection that cannot widen those rules; a frame binds each action to an authorization; and every operation emits a payload-free signed receipt.

This deposit is the position paper (PDF, CC BY 4.0). The Apache-2.0 reference implementation slf-core is archived separately (see Related works), with a companion Sovereign Personal Agent architecture (design) and a recovery-path prototype.

Author: Andrew Crenshaw (ORCID 0009-0006-6459-0187), Lexenne.
Cite as: Crenshaw, A. (2026). The Governance Gap in Agentic Memory. Zenodo. https://doi.org/