feat: evolve retrieval layer with content_type, memory FTS, forget(), and recap references

Extract schema DDL into scripts/schema.sql. Add content_type and is_meta
  columns to messages for transcript control-plane filtering. Introduce
  FTS5-backed memory recall with safe tokenization, memory soft-delete via
  forget() through the renamed --attune runtime, and anchors on memory
  records. Expand query helpers (includeMeta, thread opts, overview
  project-path awareness). Add per-card recap retrieval and writing
  references under references/recap/.

references/recap/pattern3-vibe.md

@@ -0,0 +1,30 @@
+# Card 3 Vibe Retrieval
+
+Goal: find small human signals in visible user messages. Vibe is not a correction log, not bracketed runtime text, and not a psychological profile.
+
+Look for:
+
+- catchphrases and repeated tiny reactions;
+- unusually blunt praise or rejection;
+- late-night disbelief, jokes, or rituals;
+- one quotable sentence that captures the period's character.
+
+Only count visible user messages. Helper APIs omit meta by default, but custom
+SQL for phrase counts must filter user text with `COALESCE(m.is_meta,0)=0` and
+`m.content_type='text'`. Do not count tool results, injected command envelopes,
+UI labels, or bracketed runtime strings.
+
+Useful retrieval:
+
+- targeted phrase counts after you notice a likely catchphrase;
+- `thread(sessionId)` around high-energy moments;
+- `search()` for exact phrases, then `context()` for timing;
+- a bounded SQL count only after reading `references/schema.md`.
+
+Read this card's writing file immediately after you have the small user signals:
+`references/recap/writing3-vibe.md`. Then update the JSON `vibe` card and add
+evidence for every quote, count, and timestamp.
+Do not read `pattern4-workflow.md` until this JSON update is done.
+
+Stop when every observation is either exact user words or a tiny label backed by
+exact user words.