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Starter mental model suggestions

Mental models are a core Hindsight feature. Pi Hindsight provisions them through use-profile-aware bank templates (guided setup or /hindsightt), then injects non-empty model content into automatic context.

Starter suggestions live here and in extensions/banks/bank-templates.ts (keep in sync). Applying a bundled template creates these models via Hindsight’s bank-template import endpoint — dry-run gated, confirm before write. Arbitrary mental-model authoring remains in the Hindsight control-plane web UI.

For quality criteria and when agents should propose create/update/refresh (never silent), see Mission and mental-model quality.

  • Suggestions are explicit opt-in (setup/TUI), never silent bank mutation on every boot.
  • Creation shows name, bank, source query, and tags before submission.
  • Agent use selects which seed set applies: coding vs conversation (real-life / chat agents).
  • Tags on seeds must be a subset of retain tags (source:pi) so refresh is not empty.
  • When models have content, automatic context injects them ephemerally under <hindsight-mental-models>; retain strips that injection like recall blocks.
  • Seed max_tokens stays lean (600 prefs / 800 project) so inject does not dominate every turn (see coding-memory-evaluation.md).
  • Template triggers use mode: delta, refresh_after_consolidation: true, observation-first refresh, and exclude_mental_models (oh-my-pi / Claude Code pattern).
Name Source query (summary) Why
Coding assistant operating preferences Durable plan/verify/commit/tool + clarification style; exclude probe harness rules Cross-repo prefs
Name Source query Why
Project architecture and seams What are the stable architecture boundaries, modules, and seams in this project? Where changes belong
Project conventions What are this project’s conventions for code style, build, testing, release, and review? Consistency
Project decisions What durable architectural or product decisions have been made…? Stable decisions only
Name Source query Why
Active goals and commitments What goals, commitments, deadlines, and open loops is the user tracking…? Ongoing work
People and context Which people, roles, relationships, and recurring situations matter…? Durable social context
Decisions and preferences What durable decisions, preferences, and constraints has the user stated…? Stable choices
Name Source query Why
User collaboration preferences Durable collaboration/review/autonomy preferences Cross-repo style
Coding assistant operating preferences How coding assistants should plan, verify, commit, use tools Agent behavior
Cross-project workflow habits Issue/PR/release habits across repos Process
Name Source query Why
Communication preferences Tone, length, language preferences Response shape
Life and task workflow habits Real-life planning and task habits LifeOS patterns
Priority and scheduling preferences How the user prioritizes and schedules Trade-offs
  • Secrets, credentials, private URLs
  • One-off session status
  • Speculative personality profiles
  • Project facts in the user bank (and vice versa for coding vs conversation mismatch)
Id Target Agent use
pi-coding-project project coding
pi-conversation-project project conversation
pi-coding-user user coding
pi-conversation-user user conversation
pi-user-preferences user coding (legacy alias)