# Feature Plan: Personal AI Memory (Per Person)

## Goal
Store and manage long-lived person-specific memory for better continuity and assistant quality.

## Why This Fits GIA
- Person-centric data model already exists.
- Current approvals pattern can gate memory writes.

## Scope
- Memory entries: preferences, commitments, facts, communication style.
- Confidence/expiry fields and provenance links.
- Approval-required writes with edit/delete controls.

## Implementation
1. Add memory model linked to `Person` with source references.
2. Add extraction pipeline (suggested memory from messages).
3. Add approval queue for memory create/update/delete.
4. Add retrieval service for compose/AI workspace prompts.
5. Add memory hygiene jobs: stale decay, contradiction detection.

## Acceptance Criteria
- Every memory has provenance and last-verified timestamp.
- Unapproved memory never influences generated output.
- Users can inspect, edit, and purge memory entries.

## Out of Scope
- Cross-user shared memory graph.