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User-Centric AI Memory System Design

Master the design and implementation of transparent, user-controllable AI memory systems that enhance personalization while maintaining privacy and user agency.

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🏗️ Architecture Overview

[ Client ]  ─┬─ UI: Memory Controls (review, edit, export, delete)
              ├─ Consent + Policy Manager (scopes, retention, sharing)
              └─ Event Stream (intent, tasks, preferences)

[ Edge ]    ── Local Cache / Session Context (ephemeral, user-owned)

[ Service ] ─┬─ Memory API (create/read/update/delete + audit)
              ├─ Policy Engine (enforce consent, retention, categories)
              ├─ Redactor/Summarizer (minimize + structure memories)
              └─ Retrieval Layer (semantic + attribute filters)

[ Storage ] ── Encrypted Memory Store (scoped by user, purpose, TTL)
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