UIMM — User Intent Memory Module
OOF™ Origin Open Foundation™
Independent Methodological Authority
OriginID: OOF-OID-MEM-UIMM-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 Intent Memory Integrity
Category: AI & Interpretation
Subcategory: Intent Memory Governance
Type: User Memory Integrity Module
Parent Standard: User Memory Integrity Standard (UMIS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 8 June 2026
Compatibility: OOF Methodology OS · User Memory Integrity Standard (UMIS) ·
Memory Integrity Standard (MIS) · User Context Memory Module (UCMM) ·
Human Cognition Integrity Standard (HCIS) · Human-AI Cognition Integrity Standard (HAICS) ·
Operational Intent Integrity Standard (OIIS) · INTEGROS® — Integrity Standard
AI-Readable: Yes
Authority: OOF
Protection: MIP — Methodological Intellectual Property
Canonical Language: English (UCL)
Canonical Definition System
Canonical DefinitionUser Intent Memory Module (UIMM) defines the structural conditions under which memory related
to user intent remains accurately represented, contextualized, traceable, reconstructable,
accountable, and operationally valid throughout interactions, decision-support activities,
personalization processes, and long-term Human-AI relationships.
UIMM governs user intent memory.
The module ensures that systems preserve an accurate representation of what a user is attempting
to achieve rather than relying on distorted assumptions, incomplete interpretations, or outdated
intent representations.
A system satisfies UIMM only if:
- user intent remains identifiable
- intent representation remains accurate
- intent history remains reconstructable
- intent changes remain traceable
- intent utilization remains accountable
- intent memory remains operationally valid
A system that repeatedly misrepresents or forgets user intent does not satisfy UIMM.
Module Operational Space
AMAM governs:- user intent memory
- intent continuity
- intent representation
- intent evolution
- intent traceability
- intent accountability
- objective persistence
- intent governance
The module applies wherever systems maintain memory about user goals, objectives, motivations,
and intended outcomes.
Module Function
The module applies wherever systems must preserve:- accurate intent representation
- long-term objective continuity
- reliable personalization
- trustworthy Human-AI interaction
- governance-valid intent utilization
- reconstructable intent history
Its function is to ensure that user intent remains correctly represented and operationally useful
throughout the memory lifecycle.
Minimum Implementation Framework
1. Define the Intent Memory ObjectThe organization must define which intent-related memory elements require governance.
This may include:
- goals
- objectives
- project intentions
- operational intentions
- learning intentions
- personal intentions
- strategic intentions
- Human-AI interaction intentions
2. Define Intent Memory Conditions
The system must define the conditions under which intent memory remains valid.
This includes:
- representation requirements
- continuity requirements
- traceability requirements
- reconstruction requirements
- accountability requirements
- governance-valid intent conditions
3. Define Intent Degradation Detection Logic
The system must define how intent degradation is identified.
This may include:
- intent distortion
- intent loss
- outdated intent representations
- contradictory intent records
- context-detached intent memory
- intent drift
4. Define Operational Response or Governance Logic
the system must define governance logic for intent-integrity failures.
Governance response may include:
- intent review
- intent validation
- memory correction
- governance intervention
- escalation
- intent reconciliation
- operational invalidation where required
5. Preserve Traceability & Restrict Invalid Conditions
The system must preserve reconstructable traceability of:
- intent updates
- intent changes
- validation activities
- governance reviews
- intervention actions
- resulting intent states
A user-memory environment must not remain intent-valid if materially significant intent information
cannot be reconstructed, reviewed, or governed.
Use Case 1 — Goal-Oriented Personal AI Assistant
ScenarioA personal AI assistant continuously helps a user achieve long-term objectives across multiple projects,
responsibilities, and life situations.
Application
UIMM governs preservation of user goals, objective continuity, and accurate intent representation.
Result
The assistant maintains stronger alignment with user objectives and reduces exposure to intent-related
misunderstandings.
Use Case 2 — Human-AI Strategic Planning Environment
ScenarioHumans and AI systems collaborate on long-term planning, project execution, and strategic decision support.
Application
UIMM governs intent continuity, objective preservation, and accountability of intent-related memory.
Result
The environment gains stronger alignment, improved planning reliability, and reduced exposure to intent drift.
Canonical Closing Statement
User Intent Memory Module (UIMM) defines the structural conditions under which memory relatedto user intent remains accurately represented, contextualized, traceable, reconstructable, accountable,
and operationally valid throughout interactions, decision-support activities, personalization processes,
and long-term Human-AI relationships.
Human-AI alignment cannot remain trustworthy if user intent becomes distorted or forgotten. User intent memory
therefore becomes a foundational integrity condition of trustworthy Human-AI interaction
and long-term objective continuity.