memory-curator

name	memory-curator
description	Use at session-close when a session captured several new memories, or on-demand, to consolidate, deduplicate, prune, and structure the beads memory store. Triggers on "curate memories", "clean up memories", "memory sweep".

Memory Curator

Turn a session's raw bd remember notes into deduplicated, consolidated, well-structured memories — and prune the pile — using bd over text already in context. No runtime, no embeddings.

Announce at start: "I'm using the memory-curator skill to consolidate and structure the memory store."

When to Use

• Session-close — when the session produced ~3+ new bd remember calls. Offered, never automatic.
• On-demand — a full-store sweep: Skill(beads-superpowers:memory-curator).

When NOT to Use

• Sessions with 0–2 new memories — not worth a pass.
• Mid-task — run at a clean stopping point, not while work is in flight.

Memory taxonomy

Two classes; procedural memory (how-to / workflow) lives in the skills, never the memory store.

• semantic — durable facts that stay true.
• episodic — time-bound records of what happened.

The @type is the routing decision. Classify once; the type deterministically sets store, injection, and lifecycle.

@type	store	injected at session start?	lifecycle
semantic:lesson	memory	yes (salience≥4)	durable; consolidate near-dups
semantic:root-cause	memory	yes (salience≥4)	durable; consolidate
semantic:pattern	memory	yes (salience≥4)	durable; consolidate
semantic:correction	memory	yes	durable (supersedes a wrong memory)
semantic:research	deferred knowledge-bead	no	deferred bead; pointer to a research doc (metadata.doc); bd supersede on replacement
semantic:design	deferred knowledge-bead	no	deferred bead; pointer to an ADR/spec (metadata.doc); bd supersede on replacement
semantic:decision	deferred knowledge-bead	no	deferred bead; pointer to an ADR (metadata.doc); bd supersede on replacement
episodic:continuation	memory	latest only	supersede on next
episodic:done / cleanup / review	memory → retire	no	consolidate into a semantic fact, then drop; age-out (>30d) safety net

Crisp routing definitions (the boundary that keeps determinism honest):

• research / design / decision = a pointer whose detail lives in a doc/ADR you would re-open when relevant. Injecting it every session wastes context — route to a deferred knowledge-bead (§ Beads-native knowledge store).
• lesson / root-cause / pattern / correction = a standalone, actionable rule you want surfaced unprompted so you don't repeat a mistake (e.g. "bd worktree default path is ./, not .worktrees/"). Stays an injected memory.
• Escape hatch: if a research/design item is genuinely a standalone reusable rule, classify it as a lesson/pattern — you change the type, never the store directly.

Map a non-canonical prefix to the nearest canonical subtype — e.g. stress-test/plan-stress-test→design, bug→root-cause, sdd→lesson, upstream→research, docs→pattern. If none fits, ask — don't invent. If an extracted "memory" is really procedural, flag it for a skill — don't store it.

Memory header

Every memory keeps its existing key and carries one greppable header line:

@type=semantic:lesson @created=2026-06-28 @salience=4 @refs=<bead-id>,<memory-key> @tags=memory,curation
<self-contained fact body>

• @type — <class>:<subtype> from the taxonomy — the subtype sets store/injection/lifecycle per the taxonomy table above. @created — ISO date. @salience — 1–5, best-effort. @refs — related bead IDs / memory keys. @tags — lexical filter.

The class makes the prune signal greppable (bd memories | grep '@type=episodic:'); @salience/@tags filter recall.

Beads-native knowledge store

Reference-class memories (research/design/decision) live as deferred knowledge-beads, not in memory. — a deferred bead is never auto-injected at session start, so pointers stay out of every session's context but keep persistence + Dolt sync.

• Bead: status=deferred with a far-future --defer 2099-01-01 — never closed (closed beads are GC-deleted at 90d). issue_type matches the subtype (research/design/decision); every knowledge-bead also carries the class-marker label kb plus 1–3 topic labels from the controlled vocabulary (scripts/kb-label-vocab.txt).

• Body: the research doc / ADR stays on disk as the source of truth; the bead is the queryable index/pointer via metadata.doc (display-only), with a distilled summary as the description:

  printf '%s' "<distilled summary: what this note establishes>" | \
  bd create "<one-line summary>" -t <research|design|decision> -l kb,<topic-labels> \
    --defer 2099-01-01 --metadata "$(jq -nc --arg d "<doc-path>" '{doc:$d}')" --body-file - --silent
  

• Retrieval: bd list --label <topic> --status all (topic) and bd search "<kw>" --status all (keyword) — never metadata filters (broken in bd), never find-duplicates.

• Lifecycle: bd supersede <old> --with <new> on replacement — the superseded bead closes and decays; the live pointer stays deferred.

• Move-out invariant (curator route step): write the deferred knowledge-bead → verify (bd show <id> returns it) → then bd forget the memory. Never forget first. Existence-check before writing (idempotent re-run). Run the secret/PII scan on the body first — flag for removal, never relocate a secret into a bead.

• Aging path: a cooled injected memory (low @salience, or superseded) can retire into a deferred knowledge-bead too, not just a tombstone — same move-out invariant above (write → verify → bd forget), never a copy left behind in both stores.

The sweep

One pass. Input: the session (in context) + bd memories --json. Output: a reviewed list of bd remember / bd forget commands. Propose least-destructive changes first (enrich + exact-duplicate dedup); cross-cluster consolidation and pruning come after, and only where clearly safe.

1. Gather — bd memories --json for the full store; bd dolt status to record the pre-sweep state for rollback. Done when: the full memory list and the pre-sweep Dolt state are both captured.
2. Extract — pull salient, self-contained, date-grounded facts; classify each by the taxonomy and normalize its @type to class:subtype (correcting any malformed @type it encounters). Store a fact ONLY if it carries checkable evidence (cited file:line, passing test, command output, closed bead) — the same bar as Agent-Filed Bead Discipline in verification-before-completion. No evidence → drop, or store at low @salience. Procedural how-to → flag for a skill, don't store. Never persist secrets, credentials, tokens, keys, or PII — the session hook injects curated memories into every future session (the full store via bd prime) and Dolt history outlives bd forget. Done when: every extracted item carries a normalized @type and is evidence-backed, low-salience, dropped, or flagged for a skill.
3. Reconcile — ADD new facts; UPDATE a same-topic memory in place with bd remember --key <existing>, merging so the result keeps the MOST information (never silently shrink); skip what's already present. Done when: every extracted fact is added, merged, or skipped.
4. Consolidate — collapse a themed cluster of episodic memories into one timeless semantic fact with @refs to its sources, then retire the cluster. The only step that shrinks the pile. Extract a record's durable content into a semantic memory BEFORE retiring it — never drop an episodic record that still holds an un-consolidated fact.
5. Forget — soft-tombstone a superseded memory ([superseded YYYY-MM-DD by <key>]) rather than delete — Dolt keeps history either way, and a tombstone is reversible if the supersede was wrong. Episodic records are the prune-first candidates, but never retire the most-recent continuation / active handoff. Reserve hard bd forget for exact duplicates or true noise, with a cited reason.

Iron rule: propose, then apply

This mutates the store injected into every future session (curated by the session hook, in full via bd prime) — a bad run corrupts the context layer invisibly. So:

• Emit the full planned command list — every ADD / UPDATE / CONSOLIDATE / FORGET with a one-line reason — and get the user's approval before running ANY of it. The on-demand sweep is dry-run-first, always.
• Surface the pre-sweep Dolt state (step 1) as the rollback path.
• No hard bd forget without an exact-duplicate match or a cited supersede reason.

Red Flags

Thought	Reality
"I'll just apply the merges"	Propose the list; the user approves first — never mutate silently.
"This memory is probably fine to store"	No cited evidence → it doesn't meet the bar. Drop or low-salience.
"There might be a token in here, but it's internal"	Redact or skip. Never persist secrets/PII.

Beads Integration

bd create "Memory curation: <session/sweep>" -t chore
# after the user approved + you applied:
bd close <id> --reason "Curated: <N added, M updated, K consolidated, J forgotten>; pre-sweep Dolt <ref>"

Run this as the session/ledger-owning agent; a dispatched single-task subagent does not.

Integration

Invoked at: session-close (offered when a session produced ~3+ new memories — see finishing-a-development-branch Step 7) and on-demand by the user. Pairs with: verification-before-completion (supplies the evidence bar) and getting-up-to-speed (its session-start bd forget is lightweight cleanup; this skill owns curation).

Memories arrive header-less from other skills; the curator assigns @type on contact. Do not add @type emission to other skills — header-less-until-curated is the intended state.