OOF™ Origin Open Foundation™

Independent Methodological Authority

OriginID: OOF-OID-MEM-UMIS-2026-06-08-0003
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: Memory Governance Intelligence Architecture (MGIA™)
Operational Layer: User Memory Governance Layer
Governed Space: User Memory Integrity
Category: AI & Interpretation
Subcategory: User Memory Governance Architecture
Type: Parent Standard
Version: 1.0
Status: Canonical · Open Standard
Origin Date: 8 June 2026
Compatibility: OOF Methodology OS · Memory Integrity Standard (MIS) ·
Agent Memory Integrity Standard (AMIS) · Human Cognition Integrity Standard (HCIS) ·
Human-AI Cognition Integrity Standard (HAICS) · INTEGROS® — Integrity Standard
AI-Readable: Yes
Authority: OOF
Protection: MIP — Methodological Intellectual Property
Canonical Language: English (UCL)

Canonical Definition System

Canonical Definition

User Memory Integrity Standard (UMIS) defines the structural conditions
under which memory associated with a specific user remains accurate,
continuous, contextualized, accountable, retrievable, governable,
and operationally valid throughout interactions, personalization processes,
learning activities, and long-term Human-AI relationships.

UMIS governs user memory.

The standard establishes the integrity conditions required for preserving
user-related memory across time while maintaining trust, contextual accuracy,
accountability, continuity, and governance validity.

User memory is not merely stored user data.

User memory is the persistent representation of user-related context,
preferences, history, intent, relationships, and interaction continuity.

AMIS governs the integrity of that representation.

A. Standard Abstract

Future AI systems increasingly rely on memory about users.

This may include:

• preferences
• interaction history
• context
• goals
• behavior patterns
• personalization data
• long-term relationship history

Without governance:

• user context may become inaccurate
• memory may drift
• preferences may become outdated
• personalization may become unreliable
• trust may deteriorate

UMIS exists to govern these conditions.

B. Core Principle

User memory becomes valid only when user-related memory remains
accurate, contextualized, continuous, accountable, retrievable,
governable, and operationally valid throughout the user-memory lifecycle.

C. Scope

This standard may apply to:

• AI assistants
• Human-AI environments
• personalization systems
• customer support systems
• enterprise AI platforms
• autonomous agents
• robotics environments
• future user-centric intelligence systems

UMIS applies wherever systems maintain memory about users.

D. Why This Standard Exists

As AI systems become persistent, user memory becomes
increasingly important.

Without user memory:

• continuity disappears
• personalization weakens
• relationships reset
• context becomes fragmented
• trust becomes unstable

However, memory about users must remain governable.

UMIS exists because user memory itself has become
a distinct governance space.

E. User Memory Integrity Logic

User memory integrity exists only when the following remain
materially preservable:

• 1. User Preference Memory Integrity:
  User preferences remain accurate and governable.


• 2. User Context Memory Integrity:
  User context remains relevant and reconstructable.


• 3. User Intent Memory Integrity:
  User intent remains properly represented.


• 4. User History Integrity:
  User interaction history remains traceable and coherent.


• 5. User Memory Accountability Integrity:
  User memory utilization remains accountable and reviewable.

F. Operational Architecture Space

UMIS defines the operational architecture space for:

• user memory governance
• preference memory
• contextual memory
• intent memory
• historical memory
• personalization memory
• user continuity
• Human-AI memory relationships

This space exists because long-term Human-AI interaction depends
on reliable user memory.

UMIS governs whether that memory remains valid.

G. Difference Between User Data and User Memory

User data is information about a user.

User memory is information actively preserved and utilized
to maintain continuity across interactions.

Not all user data becomes user memory.

UMIS governs memory, not data collection.

H. Runtime Position

UMIS operates above MIS and alongside AMIS.

It governs memory specifically associated with users
and Human-AI relationships.

UMIS provides the foundation for trustworthy long-term
personalization and user continuity.

I. User Memory Failure Rule

User memory failure occurs when memory no longer accurately
represents the user.

Examples include:

• outdated preferences
• context distortion
• intent misrepresentation
• history corruption
• personalization drift
• memory contamination

UMIS exists to expose and govern these conditions.

J. Validity Logic

A user memory environment is valid under UMIS when:

• user memory remains accurate
• context remains relevant
• intent remains represented
• history remains reconstructable
• personalization remains accountable
• memory remains governable

A user memory environment becomes invalid when:

• user context becomes detached from reality
• intent becomes distorted
• history becomes unreliable
• accountability disappears

K. Relationship to Other OOF Standards

UMIS derives from:

Memory Integrity Standard (MIS)

and directly supports:

• HCIS
• HAICS
• AMIS
• CLIA®

UMIS governs memory about users.

HAICS governs cognition between humans and AI built upon that memory.

L. Foundational Principle

Trustworthy Human-AI relationships require trustworthy user memory.

Canonical Closing Statement

User Memory Integrity Standard (UMIS) defines the structural conditions
under which memory associated with a specific user remains accurate,
continuous, contextualized, accountable, retrievable, governable,
and operationally valid throughout interactions, personalization processes,
learning activities, and long-term Human-AI relationships.

Future Human-AI continuity depends on trustworthy user memory. User memory
integrity therefore becomes a foundational condition of reliable Human-AI
interaction and personalization.

→ UPMIM — User Preference Memory Integrity Module

→ UCMM — User Context Memory Module

→ UIMM — User Intent Memory Module

→ UHIM — User History Integrity Module

→ UMAM — User Memory Accountability Module

→ About the Memory Integrity Standard (MIS)