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.
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.
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.
- 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).
- 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
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.
- 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>
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>
Add real-time progress reporting throughout the entire import pipeline
with a standardized API that works across all supported formats.
Workshop Team Feature Request:
- Eliminates "0% complete" hangs during AI extraction
- Shows continuous progress with entities/sec, throughput, ETA
- Reports contextual messages ("Processing page 5 of 23")
- Standardized progress API for CSV, PDF, Excel, JSON, Markdown, YAML, DOCX
Core Changes:
- Add FormatHandlerProgressHooks interface for extensible progress
- Wire up all 3 binary format handlers (CSV, PDF, Excel) with 7+ progress points
- Wire up all 4 text format importers (JSON, Markdown, YAML, DOCX)
- Add ImportProgress interface with stage, message, counts, throughput, ETA
- ImportCoordinator normalizes all format progress to standard interface
CLI Improvements:
- Import command now uses brain.import() directly with full progress
- Add --include-vfs flag to find command (v4.4.0 compatibility)
- Add --confidence and --weight options to add command
Documentation:
- docs/guides/standard-import-progress.md - Universal API guide
- docs/guides/import-progress-implementation.md - Developer guide
- docs/guides/import-progress-examples.md - Practical examples
- JSDoc on brain.import() with universal handler examples
Result: ONE progress handler works for ALL 7 formats with zero format-specific code!
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Progressive intervals adjust dynamically based on current entity count
(not total), making them work for both known and unknown totals.
**Key Features:**
- 0-999 entities: Flush every 100 (frequent early updates for UX)
- 1K-9.9K: Flush every 1000 (balanced performance)
- 10K+: Flush every 5000 (minimal overhead ~0.3%)
**Benefits:**
- Works with known totals (file imports)
- Works with unknown totals (streaming APIs, database cursors)
- Adapts automatically as import grows
- Zero configuration required
**Implementation:**
- Replaced adaptive intervals (requires total count) with progressive
- Added interval transition logging for observability
- Enhanced documentation to highlight engineering sophistication
- Final flush with statistics reporting
**Documentation:**
- Added "Engineering Insight" section showcasing advanced approach
- Updated all interval references from "adaptive" to "progressive"
- Added comprehensive examples in streaming-imports.md
Generated with Claude Code (https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Removed ImportManager class and exports (use brain.import() instead)
- Fixed all documentation: getStatistics() → getStats()
- Updated 41 files across codebase for consistency
- Removed ImportManager section from API docs
- Added v3.30.0 migration guide to CHANGELOG
Co-Authored-By: Claude <noreply@anthropic.com>
Add IntelligentImportAugmentation with support for:
- CSV: auto-detection of encoding, delimiters, and field types
- Excel: multi-sheet extraction with metadata preservation
- PDF: text extraction, table detection, and metadata extraction
Features:
- Automatic format detection from file extension or content
- Intelligent type inference (string, number, boolean, date)
- Seamless integration with neural entity extraction
- Production-ready with 69 comprehensive tests
Dependencies added:
- xlsx@^0.18.5 for Excel parsing
- pdfjs-dist@^4.0.379 for PDF parsing
- csv-parse@^6.1.0 for CSV parsing
- chardet@^2.0.0 for encoding detection
Documentation:
- Updated README with import examples
- Updated API_REFERENCE with comprehensive import() docs
- Updated import-anything.md guide
- Added working example: import-excel-pdf-csv.ts
- Updated augmentations README
- Fixed imports in examples/tests/ to use correct Brainy import
- Fixed imports in tests/benchmarks/ to use correct paths
- Updated bin/brainy-interactive.js to use Brainy instead of BrainyData
- Corrected documentation references throughout codebase
- Removed duplicate imports in benchmark files
- All files now consistently use 'Brainy' class from dist/index.js
- Fix all API examples to use proper enum syntax (NounType.Concept vs "concept")
- Correct noun/verb type counts (31 noun types × 40 verb types = 1,240 combinations)
- Update package references from 'brainy' to '@soulcraft/brainy'
- Standardize version references to be version-agnostic
- Ensure all examples match actual v3.9.0 implementation
- Add proper TypeScript imports throughout documentation
- Add @deprecated JSDoc tags to TypeScript definitions
- Update all documentation examples to use modern add() and relate() API
- Preserve batch operations (addNouns, addVerbs) as they remain current
- Mark deprecated methods in both source and compiled definitions
Migration guide:
- addNoun(data, type, metadata) → add(data, { nounType: type, ...metadata })
- addVerb(source, target, type, metadata) → relate(source, target, type, metadata)
Major enhancements for type safety and developer experience:
- Add BrainyTypes static API for type management and AI-powered suggestions
- Implement strict type validation for all 31 NounType categories
- Remove dangerous generic add() method that bypassed type safety
- Add intelligent type inference with confidence scoring
- Provide helpful error messages with typo suggestions using Levenshtein distance
- Update all internal code, examples, and documentation to use typed methods
- Enhance CLI with new type management commands (types, suggest, validate)
Breaking changes:
- Remove deprecated add() method - use addNoun() with explicit type parameter
- All addNoun() calls now require explicit type as second parameter
This release significantly improves type safety across the entire system while
maintaining backward compatibility for properly typed method calls.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add Neural API section to README with clustering, similarity, and analysis features
- Create comprehensive Neural API guide with practical examples
- Document all neural methods including clusters(), similar(), neighbors(), hierarchy()
- Include real-world use cases for feedback analysis and content recommendation
- Provide performance tips and error handling guidance
✨ ONE universal import method for everything
- Auto-detects files, URLs, and raw data
- Intelligent noun/verb type matching using embeddings
- Support for JSON, CSV, YAML, and text formats
- Zero configuration required
🧠 Intelligent Type Matching
- Uses semantic embeddings to match 31 noun types
- Automatically detects 40 verb relationship types
- Confidence scores for type predictions
- Caching for improved performance
📦 Import Manager
- Centralized import logic with lazy loading
- Integrates NeuralImportAugmentation for AI processing
- Proper CSV parsing with quote handling
- Basic YAML support
🎯 Simplified API
- brain.import() - ONE method that handles everything
- Auto-detection of URLs and file paths
- Backwards compatible with existing code
- Clean, modern, delightful developer experience
📚 Documentation
- Comprehensive import guide in docs/guides/import-anything.md
- Examples for every format and use case
- Philosophy of simplicity and zero config
✅ Tests
- Full unit test coverage for import functionality
- Type matching tests for all 31 nouns and 40 verbs
- Tests for CSV, YAML, JSON, and text formats
BREAKING CHANGES: None - fully backward compatible
