Historical Db values (now()/asOf() pins that history has moved past) now
serve the COMPLETE query surface - vector/hybrid search, graph traversal,
cursor pagination, and aggregation - by materializing ephemeral in-memory
indexes over the exact at-generation record set. The historical-query
throw is gone; NotYetSupportedAtHistoricalGenerationError is deleted.
Materializer (Brainy.materializeAtGeneration):
- Copies the at-G record set (live bytes for ids untouched since the pin,
immutable before-images otherwise) into a fresh MemoryStorage; a final
reconciliation pass under the commit mutex makes the copy exact even
when transactions commit mid-build.
- Opens a read-only Brainy over the copy: init rebuilds the metadata and
graph-adjacency indexes from the records; the vector index is built by
inserting every at-G vector (the at-G HNSW graph never existed on disk,
so there is nothing to restore). Host embedder and aggregate definitions
are shared - no second model load, aggregates backfill at-G values.
- Cost is the documented contract: O(n at G) time and memory, ONCE per Db
(handle cached; freed by release(), with a FinalizationRegistry backstop
that also closes leaked readers). A native VersionedIndexProvider serves
the same reads from retained segments with no rebuild.
Db routing (src/db/db.ts): metadata-level find()/related() keep the free
record path; index-only dimensions (query/vector/near/connected/cursor/
aggregate/includeRelations/non-metadata modes) route to the cached
materialization; unsupported where-operators on the record path re-route
there too instead of erroring. Speculative with() overlays keep the one
honest boundary - SpeculativeOverlayError (overlay entities carry no
embeddings, so index reads over them would be silently incomplete);
metadata find()/get()/filter related() work on overlays.
UpdateParams.vector contract now honored: an explicit pre-computed vector
applies directly (with dimension validation) in update() and transact
update ops, re-indexing HNSW - previously it was silently ignored unless
data also changed.
GraphAdjacencyIndex: adjacency now derives from the two verb-id LSM trees
filtered through the live-verb tombstone set (entity->entity edge trees
deleted - they carried no verb ids, so removeVerb could never tombstone
them and traversal served stale neighbors forever). Neighbor reads batch-
load live verbs via the unified cache; addVerb seeds the cache.
Proofs (tests/integration/db-mvcc.test.ts, 24 green): historical vector
search finds old vector placement including since-deleted entities;
historical graph traversal walks the old wiring after a rewire; historical
aggregation computes at-G group values; asOf() pins get the same surface;
the materialization builds once per Db and release() closes the ephemeral
reader (it refuses reads afterwards); overlays throw the documented error.
ADR-001 updated to the no-throws historical model.
One mechanism replaces the COW and versioning subsystems: immutable
generation-stamped records behind a Datomic-style database value.
Record layer (src/db/generationStore.ts):
- Monotonic generation counter in _system/generation.json; bumped once per
transact() commit and once per single-operation write (storage hook), so
brain.generation() is always a meaningful watermark.
- Commit protocol: stage before-images + tx.json delta -> fsync -> execute
batch via TransactionManager -> atomic tmp+rename of _system/manifest.json
(the rename IS the commit point) -> append _system/tx-log.jsonl.
- Crash recovery on open rolls uncommitted generations back byte-identically
and forces an index rebuild; refcounted pins gate compactHistory(), which
records a horizon (asOf below it throws GenerationCompactedError).
Db API:
- Db: get/find/search/related pinned at a generation, with() speculative
overlays, since() diffs, persist() hard-link-farm snapshots, timestamp,
generation, release() + FinalizationRegistry backstop.
- Brainy: now() O(1) pin, transact(ops, {meta, ifAtGeneration}) atomic batch
(GenerationConflictError CAS), asOf(generation|Date|path), restore(path,
{confirm}), compactHistory(), generation(), static open() + load().
- get()/metadata find()/related() are fully correct at any reachable pinned
generation; index-accelerated queries at historical generations throw
NotYetSupportedAtHistoricalGenerationError - never silently-wrong results.
- VersionedIndexProvider (generation/isGenerationVisible/pin/release) in
plugin.ts: feature-detected, balanced pin/release in lockstep with Db
lifecycle, post-commit applier + replay-gap model documented.
Storage primitives (BaseStorage + filesystem/memory adapters): raw-object
read/write/list/remove, fsync barrier, noun/verb raw before-image capture,
tx-log append, snapshotToDirectory (hard-link farm; byte-copy fallback and
append-in-place exceptions), restoreFromDirectory + derived-state reload.
Proof suite (tests/integration/db-mvcc.test.ts + tests/unit/db/): isolation
across 200 mutations, batch atomicity under injected execution failure,
ifAtGeneration CAS, snapshot immunity to source mutation, compaction safety
under pins, with() overlay isolation, generation monotonicity across
reopen, crash consistency through the real recovery path, and versioned
provider pin/release balance. Design record in
docs/ADR-001-generational-mvcc.md.
Final cleanup pass for Brainy 8.0. Catches three categories of debt:
A. STEP-7 FOLLOW-THROUGH (rebuild-path collapse)
Step 7's bisect-reset (debugging a flaky test) lost the in-source edits
to three rebuild paths even though the commit message claimed they
shipped. Re-applied now:
- src/utils/metadataIndex.ts — collapsed the `isLocalStorage` /
cloud-pagination branching. Local-load-all-at-once is the only path
in 8.0. Removed ~150 LOC of paginated-cloud branching for both nouns
and verbs, plus the safety counters (`consecutiveEmptyBatches`,
`MAX_ITERATIONS`, etc.).
- src/hnsw/hnswIndex.ts — same simplification for HNSW rebuild. The
paginated cloud path is gone; HNSW now loads all nodes at once.
Removed ~85 LOC.
- src/graph/graphAdjacencyIndex.ts — same simplification for graph
adjacency rebuild. Removed ~50 LOC.
The collapse is safe because cloud adapters were deleted in step 7;
`storageType === 'OPFSStorage'` (and similar) can never match now.
B. CLOUD-ONLY DOCS DELETED
- docs/operations/cost-optimization-aws-s3.md
- docs/operations/cost-optimization-azure.md
- docs/operations/cost-optimization-cloudflare-r2.md
- docs/operations/cost-optimization-gcs.md
- docs/operations/cloud-run-filestore-guide.md
(docs/deployment/* contained no cloud-specific files that needed deletion.)
C. STORAGE-ADAPTERS GUIDE REWRITTEN FOR 8.0
docs/guides/storage-adapters.md → fresh content reflecting the 8.0
reality:
- Two adapters: FileSystemStorage + MemoryStorage. Quick-start matrix.
- Cloud backup section explains the operator-tooling pattern (gsutil /
aws s3 / rclone / azcopy) with the exact commands consumers will run.
- "Why no cloud adapters in 8.0?" section documents the four reasons
per BR-BRAINY-80-STORAGE-SIMPLIFY.
- Migration recipe for 7.x cloud-adapter consumers: mount local disk →
filesystem storage → operator backup cron.
Updated frontmatter description so soulcraft.com/docs renders the
correct preview.
NOT IN THIS COMMIT (deliberate, lower-priority)
- src/storage/cacheManager.ts still references StorageType.S3 /
REMOTE_API / OPFS as dead branches (23 sites). The branches are never
reached in 8.0, but cleaning them would cascade through 5 consumers.
Defer to a follow-up if the dead code surfaces as a real maintenance
issue.
- src/config/storageAutoConfig.ts keeps its StorageType enum + autodetect
for 7.x compat surface. Same reason: rewriting cascades through
zeroConfig, extensibleConfig, sharedConfigManager. Defer.
- docs/MIGRATION-V3-TO-V4.md and docs/DEVELOPER_LEARNING_PATH.md still
reference cloud adapters as historical artefacts. That's accurate —
they describe how things used to be. Left as-is.
- @deprecated audit in src/ (10 files) deferred — audit each individually
in a future polish pass.
VERIFICATION
- npx tsc --noEmit: clean
- npm test: 1408 / 1409 (same pre-existing race-condition outstanding from
step 7; no regressions from this cleanup)
Optimistic concurrency for multi-writer coordination — the read-then-CAS
lock pattern + idempotent-bootstrap singleton inserts. Lands the surface the
SDK scheduler asked for in BRAINY-EXPOSE-TRANSACTIONS, scoped to what ships
cleanly without painting the 8.0 transact() API into a corner.
A. PER-ENTITY _rev FIELD
- src/coreTypes.ts — HNSWNounWithMetadata gains optional `_rev?: number`;
STANDARD_ENTITY_FIELDS includes it so resolveEntityField routes correctly.
- src/types/brainy.types.ts — Entity<T> gains optional `_rev?: number`;
Result<T> mirrors it on the convenience flatten layer.
- src/brainy.ts add() — initializes `_rev: 1` in storageMetadata. New entities
always start at 1.
- src/brainy.ts update() — reads currentRev off the persisted metadata
(falls back to 1 for pre-7.31.0 entities with no _rev), writes
`_rev: currentRev + 1` into the updated metadata. Every successful update()
bumps by exactly 1.
- src/brainy.ts convertNounToEntity + convertMetadataToEntity — both pull
_rev out of the storage metadata and surface it at the top level of Entity.
Pre-7.31.0 entities (no _rev in storage) read as `_rev: 1` so consumers
see a consistent value.
- src/storage/baseStorage.ts — six destructure sites updated to pull _rev
out of the metadata bag so it doesn't leak into customMetadata. Noun-side
returns surface _rev; verb-side destructures correctly but doesn't expose
it on HNSWVerbWithMetadata (verb CAS is future work).
- src/brainy.ts createResult() — flattens entity._rev onto the Result for
backward compat with the existing convenience-field layer.
B. update({ ifRev }) OPTIMISTIC CONCURRENCY
- src/types/brainy.types.ts — UpdateParams<T> gains optional `ifRev?: number`.
- src/transaction/RevisionConflictError.ts (NEW) — carries `{ id, expected,
actual }`. Message names the recipe: refetch with brain.get() and retry
with the latest _rev. Subclass of Error.
- src/brainy.ts update() — when params.ifRev is provided, compares against
currentRev (the rev we just read) and throws RevisionConflictError on
mismatch before any storage write. Omitting ifRev keeps the prior
unconditional-update behavior; existing consumers see no change.
- src/transaction/index.ts — exports RevisionConflictError.
- src/index.ts — public export of RevisionConflictError.
C. add({ ifAbsent }) BY-ID IDEMPOTENT INSERT
- src/types/brainy.types.ts — AddParams<T> gains optional `ifAbsent?: boolean`;
AddManyParams<T> mirrors it as a batch-level flag.
- src/brainy.ts add() — when params.id AND params.ifAbsent, pre-reads
storage.getNounMetadata(id); if present, returns the existing id without
writing. No throw, no overwrite. Ignored when id is omitted (a fresh UUID
can never collide).
- src/brainy.ts addMany() — propagates the batch-level ifAbsent to each
item's add() call. Per-item ifAbsent takes precedence so callers can
override individual rows.
WHAT'S NOT SHIPPED (and why)
A public brain.transaction(fn) wrapper was on the table but was cut. The
internal TransactionManager exposes raw Operation classes (SaveNounMetadata,
etc.) that take StorageAdapter as a constructor argument. A clean high-level
facade in 7.31.0 would have meant either:
(a) Delegate to brain.add() / update() / relate(). Each of those opens its
own internal transaction and commits before the closure returns. Looks
atomic, isn't — a footgun.
(b) Thread an optional `tx?` through every internal write site in
brainy.ts (8 transactionManager.executeTransaction sites). ~2 days of
real refactor with regression surface, and the API shape changes again
in 8.0 anyway.
The SDK scheduler's actual ask (BRAINY-EXPOSE-TRANSACTIONS) is the
read-then-CAS lock pattern. _rev + ifRev solves it completely. Multi-write
atomicity is the 8.0 brain.transact() use case where the Datomic-style
immutable Db makes it atomic by construction — that's the right home.
TESTS
- New tests/integration/rev-and-ifabsent.test.ts (18 tests):
- _rev initialization (1 on add) and surface on get fast/full paths + find
- _rev auto-bump on update across multiple writes
- update({ ifRev }) pass / fail / message format / omitted / legacy-no-rev
- add({ ifAbsent }) writes when absent / no-op when present / id-required
- addMany({ ifAbsent }) propagation + per-item override
- SDK-scheduler scenario: two concurrent CAS updates, one wins one throws
- Unit suite unchanged: 1468/1468.
- All integration subtype + verb + strict + find-limits + new rev suites
pass: 96/96.
DOCS
- New docs/guides/optimistic-concurrency.md (public: true) — full reference:
the lock pattern, read-modify-write retry, idempotent bootstrap, how _rev
interacts with brain.versions, branches/fork, and VFS, what's coming in 8.0.
- docs/api/README.md — add() and update() entries get the new params + tips
pointing at the new guide.
- RELEASES.md v7.31.0 entry.
CORTEX COMPATIBILITY
Zero changes required. _rev is a metadata column already supported by
NativeColumnStore. The auto-bump runs in Brainy JS before any storage call;
Cortex never sees the per-entity counter.
8.0 FORWARD-COMPAT
_rev, ifRev, RevisionConflictError, and ifAbsent survive the 8.0 Db redesign
unchanged. 8.0 layers brain.transact(tx, { ifAtGeneration }) for whole-tx CAS
on top of the same per-entity mechanism — per-entity for single-record
patterns (job locks, idempotent state machines), generation-based for
"did the world move under me." Locked in .strategy/BRAINY-8.0-SUBTYPE-CONTRACT.md § C-6.
Verification
- npx tsc --noEmit: clean
- npm test: 1468 / 1468 unit
- All integration suites including new rev-and-ifabsent: 96/96
- npm run build: clean
- Closed-source product reference audit: clean
Brainy 7.30.0 introduced a memory-derived synchronous cap on `find({ limit })`
to prevent OOM. The cap was sound in intent but ~4x too conservative in
calibration: assumed 100 KB per result while typical entity footprint is 7-10 KB
(384-dim float32 vector ≈ 1.5 KB + standard fields + metadata). On a 900 MB
free-memory box the cap derived to 9000 — breaking common safety-cap patterns
like `find({ type, where, limit: 10_000 })` that typically return 10-500
entities. Surfaced as a runtime regression with cascading 500s degrading
production dashboards.
Three concurrent fixes:
A. RECALIBRATE THE FORMULA
- src/utils/paramValidation.ts:175,196,212 — the three memory-derived priorities
(reservedQueryMemory / containerMemory / freeMemory) all divided by
100 * 1024 * 1024 (100 KB per result, ~10-15x over conservative). Replaced
with a new MAX_LIMIT_KB_PER_RESULT = 25 constant that matches observed
entity size.
- Result: 4 GB container cap goes 10_000 → 40_000; 2 GB cap goes 5_000 →
20_000; 900 MB free-memory cap goes 9_000 → ~36_000. 100k hard ceiling
unchanged. `maxQueryLimit` / `reservedQueryMemory` constructor overrides
unchanged in behavior.
B. TWO-TIER ENFORCEMENT (warn-then-throw)
- Below cap (limit <= maxLimit): silent pass, unchanged.
- Soft tier (maxLimit < limit <= 2 * maxLimit): NEW — one-time warning per
call site (dedup keyed on caller stack frame + limit value), query
proceeds. Pre-7.30.2 code that relied on the cap silently allowing typical
safety-cap limits keeps working; the warning teaches the recipe so consumers
can fix it intentionally.
- Hard tier (limit > 2 * maxLimit): throw with the same teaching message
format. Real OOM territory; the cap stops being a recommendation and becomes
a guardrail.
- The 2x soft margin absorbs typical safety-cap patterns (limit: 10_000
against a 9 K-cap box) without disabling OOM protection. Real OOM territory
on a JS in-memory brain is hundreds of thousands of results, not 10x the
safety cap.
C. IMPROVED ERROR / WARNING MESSAGE
- Same shape as the 7.30.1 enforcement-error messages: state the problem,
name the three escape valves (maxQueryLimit / reservedQueryMemory /
pagination), include caller location, link to docs.
- Extracted findCallerLocation() helper from brainy.ts to a new
src/utils/callerLocation.ts so both the subtype enforcement (7.30.1) and
the limit enforcement (7.30.2) share one implementation without circular
imports.
DOCS
- New docs/guides/find-limits.md (public: true) — full reference: why the cap
exists, the four memory sources the auto-config considers, the three escape
valves with when-to-use-which guidance, and an explicit "pagination is the
future-proof pattern" callout (8.0 may tighten the cap further; pagination
keeps working unchanged).
- docs/api/README.md find() entry gets a one-paragraph `limit` tip + pointer
to the new guide.
- RELEASES.md v7.30.2 entry.
TESTS
- New tests/integration/find-limits.test.ts (9 tests): below-cap silent pass;
soft-tier warns once per call site (dedup verified by exercising same vs.
different source lines via wrapper closures); soft-tier message format
(names all three escape valves + docs link); soft-tier message includes
caller location; hard-tier throws; hard-tier message format same as
soft-tier; consumer maxQueryLimit override raises the cap and shifts both
tiers accordingly; pre-7.30.2 regression scenario explicitly covered.
- tests/unit/utils/memoryLimits.test.ts — 4 tests updated for the recalibrated
cap values (hardcoded expected numbers bumped 4x to match new 25 KB/result
assumption).
- tests/unit/utils/paramValidation.test.ts — auto-limit test extended to cover
the three-tier semantics (below-cap pass / soft-tier silent / hard-tier
throw).
- Existing suites unchanged: subtype-and-facets 26/26, verb-subtype-and-
enforcement 30/30, strict-mode-self-test 13/13. Unit 1468/1468.
CORTEX COMPATIBILITY
- Zero Cortex changes required. Every change is JS-side: formula recalibration
runs in ValidationConfig.constructor(), two-tier enforcement runs in
validateFindParams(), both fire before any storage / index / Cortex call.
- The new guide notes that Brainy 8.0's Datomic-style Db.find() may tighten
per-call limits to keep snapshot semantics cheap; pagination remains the
pattern that's guaranteed to keep working.
REPO-WIDE CLEANUP
Brainy is the only Soulcraft project that is open source. This commit also
scrubs closed-source product names and product-specific class/field references
from every tracked file in the repo (src/, docs/, tests/, RELEASES.md,
CHANGELOG.md). Consumer-reported bugs, regression scenarios, and release
notes now refer to "a consumer", "a downstream application", "a production
deployment", or "an internal report" — never to the named product. Two
product-named test files renamed to neutral diagnostic names. CLAUDE.md gains
a project-level guard rule documenting the policy and an example list of the
identifiers that may not appear in tracked code.
Verification
- npx tsc --noEmit: clean
- npm test: 1468 / 1468 unit
- All four integration subtype + verb + strict + find-limits suites: 78/78
- npm run build: clean
- Closed-source product reference audit: clean
Brainy 7.30 shipped opt-in subtype enforcement; SDK 3.20.0 then registered
SDK_CORE_VOCABULARY on every consumer's brain (Event, Collection, Message,
Contract, Media, Document NounTypes). On 2026-06-08 Venue's /book flow went 500
because their brain.add({ type: NounType.Event, ... }) call sites lacked
subtype. An audit of Brainy's OWN source revealed 14 HIGH-risk internal write
paths that also omit subtype — any consumer running the same vocabulary would
have hit Brainy's infrastructure paths next. 7.30.1 closes both gaps before
8.0 makes strict mode the default.
Additive across the board. Zero behavior change for consumers not using strict
mode. Every change is JS-side — Cortex needs no work for 7.30.1.
NEW — brain.audit() diagnostic
- Read-only method walking storage.getNouns() / getVerbs() pagination
- Returns { entitiesWithoutSubtype: { type: count }, relationshipsWithoutSubtype,
total, scanned, recommendation }
- VFS infrastructure entities excluded by default (they bypass enforcement via
isVFSEntity marker); pass { includeVFS: true } to surface them
- The companion to migrateField (7.x) and fillSubtypes (8.0): tells consumers
exactly what would break under strict enforcement, deterministically
NEW — Improved enforcement error messages
- Caller's source location extracted from Error().stack so users see their own
call site, not a Brainy internal frame
- Specific guidance branches: registered vocabulary → "Pass one of: a, b, c";
brain-wide strict mode → mentions the except clause; otherwise → registration
recipe via brain.requireSubtype()
- Documentation link to the canonical migration recipe
- Same shape for noun and verb enforcement
NEW — CLI --subtype flag
- brainy add and brainy relate gain -s/--subtype <value>
- Defaults to 'cli-add' / 'cli-relate' so the CLI works against strict-mode
brains without the user needing to know the vocabulary in advance
INTERNAL — every Brainy write path now sets subtype
- VFS Contains edges (5 sites at lines 503/905/1694/1772/1886) → 'vfs-contains'
- VFS symlink entity → 'vfs-symlink' (NEW — distinct from 'vfs-file')
- VFS copy-file → preserves source subtype, falls back to 'vfs-file'
- VFS symlink also adopts the isVFSEntity infrastructure marker so it bypasses
enforcement in strict mode
- Aggregation materializer (Measurement entities) → 'materialized-aggregate'
- ImportCoordinator (3 sites): document → 'import-source'; entities →
options.defaultSubtype ?? 'imported'; placeholder → 'import-placeholder'
- SmartImportOrchestrator (4 entity sites + 2 batch relate sites): same
precedence (extractor → options.defaultSubtype → 'imported')
- EntityDeduplicator → candidate.subtype ?? 'imported'
- UniversalImportAPI → extractor → 'extracted' for both entities and relations
- NeuralImport → adds defaultSubtype to NeuralImportOptions; precedence same
- GoogleSheetsIntegration → request body 'subtype' ?? 'imported-from-sheets'
- ODataIntegration → request body 'Subtype' ?? 'imported-from-odata'
- MCP client message storage → 'mcp-message' (also fixes pre-existing missing
data field and missing type by aliasing from the prior text field)
Side-effect fix: storage.getNouns() paginated now surfaces subtype to top-level
- Single-noun getNoun() already did this in 7.30; the paginated path was missed
- Without this fix brain.audit() saw missing subtype on entities that actually
had one (caught by the strict-mode self-test before release)
NEW — tests/integration/strict-mode-self-test.test.ts (13 tests)
- Creates a brain under the exact SDK_CORE_VOCABULARY shape Venue hit + brain-
wide strict mode
- Exercises every internal Brainy path: VFS root + mkdir + writeFile + cp + mv
+ ln + symlink; aggregation engine; audit diagnostic with includeVFS toggle
- Validates error message UX: caller location, vocabulary guidance, brain-wide
strict mode guidance, off-vocabulary value reporting
Docs
- New "Strict mode in practice" section in docs/guides/subtypes-and-facets.md
covering the SDK_CORE_VOCABULARY pattern, 4-step migration recipe
(audit → migrateField → hand-fix → re-audit), the Brainy-internal label
reference table, and an 8.0 forward-look on fillSubtypes()
- docs/api/README.md: new audit() entry, strict-mode tips on add() and relate()
- RELEASES.md: full 7.30.1 entry
Cortex parity (forward-looking, not blocking 7.30.1)
- 6th open question added to .strategy/BRAINY-8.0-SUBTYPE-CONTRACT.md: native
fast path for audit() and fillSubtypes() via column-store null-subtype
bitmap for billion-scale brains
- Cortex should add a parity test mirroring strict-mode-self-test.test.ts
against their native paths to catch any latent bug where native writes
bypass JS validation
- Brainy-internal subtype labels become a documented part of the 8.0 contract
(useful for Cortex telemetry surfacing Brainy-managed infrastructure %)
Verification
- npx tsc --noEmit: clean
- npm test: 1468/1468 unit
- 7.29 noun integration suite: 26/26 (no regression)
- 7.30 verb subtype + enforcement integration suite: 30/30 (no regression)
- New strict-mode-self-test integration suite: 13/13
- npm run build: clean
- Closed-source product reference audit: clean
Addresses VE-SUBTYPE-MIGRATION (Venue's reported request) and ships internal
labels Venue did NOT ask for but that would have broken them next under their
own vocabulary registration.
Promotes `subtype?: string` to a top-level standard field on every entity,
alongside `type` / `confidence` / `weight`. Flat string, no hierarchy — the
consumer-chosen vocabulary for sub-classifying entities within a NounType
(Person → employee/customer, Document → invoice/contract, etc.).
Layer 1 — subtype field + rollup
- HNSWNounWithMetadata.subtype + STANDARD_ENTITY_FIELDS entry
- Entity / Result / AddParams / UpdateParams / FindParams threading
- add()/update() persist subtype on storageMetadata + entityForIndexing
- get()/find() route through the standard-field fast path
- subtypeCountsByType (Map<NounTypeIdx, Map<subtype, count>>) on
BaseStorage, mirrored after nounCountsByType with the same self-heal
rebuild and persisted to _system/subtype-statistics.json
- brain.counts.bySubtype(type, subtype?) — O(1) point + breakdown
- brain.counts.topSubtypes(type, n) — top-N by count
- brain.subtypesOf(type) — distinct subtypes seen
- find({ type, subtype }) and find({ subtype: ['a','b'] }) on the fast path
Layer 2 — trackField for other facets
- brain.trackField(name, { perType?, values? }) registers a field for
cardinality + per-NounType breakdown stats. Backed by the aggregation
engine (auto-defines __fieldCounts__<name>), backfill-on-define applies.
- brain.counts.byField(name, { type? }) returns value frequencies
- Optional vocabulary whitelist rejects off-vocabulary writes at add/update
Layer 3 — generic migrateField
- brain.migrateField({ from, to, readBoth?, batchSize?, onProgress? })
streams every entity, copies the value from one path to another, and
(unless readBoth) clears the source. Supports top-level standard fields,
metadata.X, and data.X paths. Idempotent — safe to re-run.
Docs
- New guide: docs/guides/subtypes-and-facets.md (Layer 1 + 2 + 3)
- README, DATA_MODEL, QUERY_OPERATORS, api/README, finite-type-system,
quick-start all treat subtype as a core primitive with anonymous example
vocabularies (employee/customer/invoice/milestone).
Tests
- 26 new integration tests covering write/read/update/delete round-trips,
counts rollup decrement + re-route on mutation, trackField + byField
with and without perType, vocabulary whitelist enforcement, and
migrateField for metadata.X → subtype and data.X → subtype paths
including readBoth deprecation-window semantics.
Unit suite: 1468/1468 passing. Type-check + build clean.
- groupBy now supports { field, unnest: true }: an entity contributes once per
distinct element of an array field (tag frequency / faceted counts). Duplicate
elements on one entity count once; an empty/missing array joins no group. The
incremental add/update/delete paths fan out across the unnested groups.
- extractEntities/extractConcepts batch-embed the unique candidate spans in one
embedBatch call instead of one embed() per candidate (N sequential model calls);
falls back to per-candidate embedding if the batch fails. No behavior change.
New report APIs:
- brain.queryAggregate(name, params) returns the clean AggregateResult[] shape
({ groupKey, metrics, count }) directly, instead of the search-Result wrapper that
find({ aggregate }) returns.
- HAVING: find({ aggregate, having }) and queryAggregate filter groups by computed
metric values (e.g. revenue > 1000), complementing where (which filters group keys).
Evaluated per group: O(groups), independent of entity count.
Fixes (all reproducible on Node; surfaced under Cortex+Bun by Memory):
- Aggregate backfill-on-define: defining an aggregate over a store that already holds
matching entities returned []. It now backfills from existing entities on first query
(storage-agnostic via getNouns), so it works under durable backends that reopen
pre-populated. groupBy:['noun'] resolves to the entity type; find({ aggregate }) rows
expose groupKey/metrics/count at the top level.
- Multi-hop find({ connected: { depth, via } }) honors depth and via at every hop
(was 1-hop only, with verb filtering applied to hop 1 only); BFS bounded by limit.
- extractEntities no longer bleeds a neighbour's type indicator across candidates; each
candidate is typed by its own span. Also fixes the "Dr." title pattern.
Adds real-embedding regression tests; full unit suite green.
Per the Cortex team's audit, the BR-CX-INTERFACE-GAP boot crash was a
build/install artifact (stale node_modules, lockfile drift, Docker cache,
bundler quirks), not a plugin-bundles-brainy version-skew issue. Cortex's
MmapFileSystemStorage extends FileSystemStorage and inherits all 6
multi-process helpers via the prototype chain at runtime; the dynamic
ESM import to @soulcraft/brainy is preserved in cortex's dist.
- Rewrote the hasStorageMethod() doc comment to credit the real cause.
- Updated the init-time warning to point operators at the actual fix:
clean install or container rebuild to refresh node_modules.
- New docs/concepts/storage-adapters.md documenting the inheritance
contract: extend FileSystemStorage to inherit the multi-process
helpers, override supportsMultiProcessLocking() -> true to activate.
Includes a minimum checklist for adapter authors.
- New docs/architecture/multiprocess-storage-mixin.md as a future-
direction note: extracting the 7 methods into a
MultiProcessSafeStorage interface/mixin is the architecturally clean
next step, deferred to v8 or until a second multi-process capability
lands.
No behavior changes. Ships with the next release.
Filesystem storage now enforces single-writer, many-reader semantics.
A second writer on the same data directory throws at init time with the
holder's PID, hostname, and heartbeat — replacing the previous silent
stale-reads failure mode.
- New: `Brainy.openReadOnly()` — coexists with a live writer, every
mutation throws clearly.
- New: writer lock at `<rootDir>/locks/_writer.lock` with 10s heartbeat
and stale-detection (PID liveness + heartbeat freshness).
- New: cross-process flush-request RPC (filesystem-based, no signals)
so inspectors can force fresh state on demand.
- New: `brain.stats()`, `brain.explain(findParams)`, `brain.health()`
for operator-facing introspection.
- New: `brainy inspect` CLI with 13 subcommands (stats, find, get,
relations, explain, health, sample, fields, dump, watch, backup,
repair, diff), all read-only by default.
- Same-PID re-opens allowed with a warning (preserves test "simulate
restart" patterns).
- Storage instances passed directly via `storage: new MemoryStorage()`
are now honoured instead of silently falling through to the
filesystem auto-detect path.
Brainy + Cortex compose under this model — the lock covers both because
they share `rootDir`, Cortex segments are immutable mmap files, and
MANIFEST updates use atomic-rename.
Code blocks with Unicode box-drawing characters render poorly in web
doc viewers — font alignment breaks and the styled container creates
a visual box-in-a-box. Replaced with a bullet list (before) and a
bold statement (after) that render cleanly at any size and theme.
Replace flat 15-row table with a Before/After ASCII diagram plus a
capability grid (Search/Graph/Filter/VFS/Branch/Import) with competitors
grouped by category. Add new What Can You Build? section with generic
use cases and Built with Brainy showcase. Tighten header copy.
Adds docs/eli5.md — a jargon-free explanation of Brainy and Cortex
using everyday analogies (smart librarian, turbocharger). Targets
non-technical readers who want to understand the project before diving
into the API. Links added at the top of README and in the Documentation
section index.
All code examples in installation.md and quick-start.md were tagged
as javascript — converted to typescript throughout.
quick-start.md also gets explicit type annotations:
- reactId/nextId declared as string (return type of brain.add)
- results declared as FindResult[]
- results[0].data and results[0].score shown in console.log example
Add YAML frontmatter (slug, public, category, template, order) to 8
existing docs and 2 new getting-started guides (installation, quick-start).
Include docs/**/*.md in npm package files so the portal sync-docs script
can read them from node_modules after publish.
Update CLAUDE.md with docs pipeline trigger phrases and release checklist.
Add a write-time incremental aggregation engine that maintains running
totals on every add/update/delete for O(1) read performance. Integrates
into brain.find({ aggregate }) for a unified query API.
Core features:
- AggregationIndex with defineAggregate()/removeAggregate() API
- Five aggregation operations: SUM, COUNT, AVG, MIN, MAX
- GROUP BY with multiple dimensions including time windows
- Time window bucketing: hour, day, week, month, quarter, year, custom
- Materialization of results as NounType.Measurement entities
- Debounced persistence of definitions and state to storage
- Definition change detection via FNV-1a hashing with auto-rebuild
- Infinite loop prevention for materialized entities
- 'aggregation' plugin provider key for native acceleration
- Lazy initialization (created on first defineAggregate() call)
- 73 tests (unit + integration) covering all functionality
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Store data opaquely in add() and update() instead of spreading object
properties into top-level metadata. data is for semantic search (HNSW),
metadata is for structured where-filter queries (MetadataIndex).
- Fix numeric range queries in MetadataIndex — use numeric-aware comparison
instead of lexicographic string comparison for normalized values.
- Add data field to RelateParams and Relation types for relationship content.
- Add where.type → where.noun alias in metadata-only find() path.
- Rewrite README: focused ~350 lines from 791, quick start first, feature
showcase with mini-snippets, organized doc links, no version callouts.
- Add DATA_MODEL.md and QUERY_OPERATORS.md reference docs.
- Remove 10 outdated/redundant doc files consolidated into API reference.
- Improve JSDoc on Entity, Relation, AddParams, FindParams, and core methods.
- Fix tests asserting data properties appear in metadata (data model violation).
- Deprecate verb.source/target in favor of from/to (public) and sourceId/targetId (storage).
Plugins are no longer auto-detected. Updated README and PLUGINS.md
to show explicit plugins config, document all config values, and
fix manual registration example to use brain.use() API.
Fix critical wiring bugs that prevented plugin-provided implementations
from being used at runtime. All CRUD operations, fork/checkout/clear,
batch embedding, neural APIs, and VFS path resolution now properly
dispatch through the plugin registry.
Changes:
- Wire graphIndex to storage for getVerbsBySource() fast path
- Replace instanceof checks with duck-typing (indexIsTypeAware flag)
so plugin HNSW indexes work in add/update/delete/search
- Add createIndex() shared helper for plugin HNSW factory
- Fix fork/checkout/clear to use plugin factories for metadataIndex,
graphIndex, and HNSW instead of hardcoding JS constructors
- Add three-tier embedBatch priority: embedBatch > embeddings > WASM
- Skip WASM warmup/eagerEmbeddings when plugin provides embeddings
- Fix PathResolver metadataIndex access (was looking on storage)
- Use global UnifiedCache in SemanticPathResolver
- Wire plugin distance function through neural APIs
- Add diagnostics() method and CLI command for provider inspection
- Add requireProviders() for production fail-fast assertions
- Add init-time provider summary log
- Add plugin developer documentation (docs/PLUGINS.md)
- Export DiagnosticsResult type
- Switch vitest pool from threads to forks for process isolation
- Disable v8 coverage by default (causes vitest worker RPC timeout)
- Increase hookTimeout 30s to 60s for MetadataIndexManager init under load
- Reduce O(1) space test entity count, replace brittle timing assertions
- Add docs/guides/storage-adapters.md with verified batch config values
brain.add() was generating 26-40 immediate cloud writes per call, causing
HTTP 429 rate limit errors and high latency on GCS/S3/R2/Azure. Three-layer
fix: (1) deferred metadata writes with dirty-marking, (2) MetadataWriteBuffer
for write coalescing, (3) retry/backoff on all cloud storage adapters.
The __words__ keyword index stores 50-5000 entries per entity (one per
word), which inflated avg entries/entity well above the corruption
threshold of 100. This caused:
1. validateConsistency() to falsely detect corruption on every startup,
triggering unnecessary clearAllIndexData() + rebuild() cycles
2. getStats() to log false "Metadata index may be corrupted" warnings
and report inflated totalEntries/totalIds stats
Both methods now skip __words__ when counting, so stats and health
checks reflect metadata fields only (noun, type, createdAt, etc.).
Keyword search is unaffected since the __words__ field index itself
is not modified.
Replace document-centric categories (prose/heading/code/label) with a
universal set that works across documents, code, and UI:
- title: headings, identifiers, labels, JSON keys
- annotation: comments, docstrings, captions, alt text
- content: paragraphs, list items, flowing text
- value: string literals, numbers, form values
- code: unparsed code blocks
- structural: keywords, operators, punctuation
Built-in extractors now produce title/content/code. All 6 categories
are available for custom parsers (e.g. tree-sitter).
Also adds inline code detection in Markdown: backtick spans within
prose lines are split into separate code/content segments.
Fix highlight() hanging on structured text input by addressing 3 root causes:
1. embedBatch() now uses native WASM batch API (single forward pass instead
of N individual embed() calls via Promise.all)
2. highlight() auto-detects content type (plain text, rich-text JSON, HTML,
Markdown) and extracts meaningful text segments. Supports TipTap, Slate.js,
Lexical, Draft.js, and Quill Delta formats. New contentType hint and
contentExtractor callback for custom parsers.
3. Semantic matching phase has 10s timeout - falls back to text-only matches
instead of hanging indefinitely.
Also fixes extractTextContent() array check: uses type-based detection
(typeof data[0] === 'number') instead of length-based (data.length > 10)
so arrays of objects are properly indexed for text search.
New types: ContentType, ContentCategory, ExtractedSegment
New fields: HighlightParams.contentType, HighlightParams.contentExtractor,
Highlight.contentCategory
- Add textMatches, textScore, semanticScore, matchSource to search results
- Add highlight() method for zero-config text + semantic highlighting
- Increase word indexing limit to 5000 (handles articles/chapters)
- Optimize findMatchingWords() with O(1) fast path for semantic-only results
- Add production safety limits (500 chunks for highlight)
- Add comprehensive tests for new features (35 tests)
- Update docs with match visibility and highlight() API
New public APIs:
- embedBatch(texts): Batch embed multiple texts efficiently
- similarity(textA, textB): Calculate semantic similarity (0-1 score)
- indexStats(): Get comprehensive index statistics with memory usage
- neighbors(entityId, options): Get graph neighbors with direction/depth/filter
- findDuplicates(options): Find semantic duplicates by embedding similarity
- cluster(options): Cluster entities by semantic similarity with centroids
All APIs:
- Added to BrainyInterface for type safety
- Documented in docs/API_REFERENCE.md and docs/api/README.md
- Include JSDoc examples and parameter descriptions
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Process mkdir operations sequentially first (sorted by path depth)
- Then process write/delete/update operations in parallel batches
- Prevents duplicate directory entities when mkdir and write for
related paths are in the same batch
- Add comprehensive tests for bulkWrite race condition scenarios
- Update API documentation for accuracy
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
VFS files store content in BlobStorage, but versioning was capturing
stale embedding text from entity.data instead of actual file content.
Changes:
- VersionManager.save() now reads fresh content via vfs.readFile()
- VersionManager.restore() writes content back via vfs.writeFile()
- Text files stored as UTF-8, binary as base64 with encoding flag
- Added comprehensive VFS versioning test suite (10 tests)
- Updated API docs with VFS file versioning example
Fixes: Workshop team bug report where all VFS file versions had
identical data despite different metadata.size values.
Implements comprehensive batching infrastructure (brain.batchGet, storage.getNounMetadataBatch, storage.getVerbsBySourceBatch) with native cloud adapter APIs for GCS, S3, R2, and Azure. VFS operations now use parallel breadth-first traversal with batching, reducing directory reads from 22 sequential calls to 2-3 batched calls. Improves cloud storage performance by 90%+ (12.7s → <1s for 12 files). Fully compatible with type-aware storage, sharding, COW, fork(), and all indexes.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Added comprehensive production service architecture guide with singleton patterns, caching strategies, and performance optimization for Express/Node.js services.
Changes:
- NEW: docs/PRODUCTION_SERVICE_ARCHITECTURE.md - Complete guide for using Brainy in production services
- CHANGED: .gitignore - Removed PRODUCTION_*.md pattern to allow public documentation
- CHANGED: README.md - Added subtle link to production architecture guide in "Production MVP" section
Guide covers:
- Instance-per-request anti-pattern (40x memory waste)
- Singleton pattern implementation (40x memory reduction, 30x faster)
- Three implementation patterns (simple, service class, middleware)
- Optimization strategies (cache sizing, lazy loading, warm-up)
- Concurrency and thread safety
- Production checklist and monitoring
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Cleaned up public documentation to remove references to external projects (Workshop). Documentation should be project-agnostic and professional.
Changes:
- docs/guides/import-progress-examples.md: Changed "Workshop team problem SOLVED" to "Problem SOLVED"
- docs/guides/standard-import-progress.md: Changed "Workshop team (and any developer)" to "Developers"
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
