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Runner Personalization And Memory

Runner separates two concepts:

Concept Meaning Current state
Assistant character Who the desktop voice assistant is Product prompt + fixed Supertonic voice
User memory What Runner knows about the user Local explicit remember/forget/recall facts

These must stay separate. User memory must not leak into a shareable character, and the assistant should not start adopting the user's private traits as its own identity.

Assistant Character

The assistant character controls:

  • short system prompt
  • display name
  • voice identity
  • behavior around desktop control and confirmations

The live runtime uses a fixed Supertonic voice and Gemma 4 chat backend. Future character presets can add first-party prompt/voice bundles, but they should not be generated from non-commercial persona datasets.

User Memory

The current implementation is deliberately explicit:

  • "remember that ..." stores a fact
  • "forget ..." removes matching facts
  • "what do you remember?" reads back local facts

Memory is stored locally and should stay human-readable. Future memory writers can summarize session history off the hot path, but they must preserve:

  • local-only default
  • user-visible audit/edit path
  • deterministic PII redaction before persistence
  • explicit forget pipeline
  • no memory updates during latency-sensitive voice turns

Runtime Prompting

Normal model turns receive:

  • the assistant's current system prompt
  • current user-memory facts when present
  • desktop-control capability context

The deterministic skill router handles local actions before the LLM so commands like opening apps, checking time, or reading explicit memory do not depend on model guesswork.

Non-Goals

  • No PersonaHub-derived shipped characters.
  • No cloud memory sync by default.
  • No automatic storage of passive personal statements until the user-facing audit/edit and forget path is complete.