8.0 RC cleanup toward "one place per thing, zero-config, no deprecation":
- Remove the `brain.neural()` clustering namespace (ImprovedNeuralAPI + the dead
legacy NeuralAPI + the neural CLI + neural-only types). Similarity is `find({vector})`
/ `similar({to})`; attribute grouping is the aggregation `GROUP BY` engine. The separate
entity-extraction / smart-import feature (NeuralImport, NeuralEntityExtractor, SmartExtractor,
NaturalLanguageProcessor, `brain.extract()`/`brain.nlp()`) is kept.
- Remove `Db.search()`; `find()` is the one query verb (accepts a bare string or FindParams).
Fix the bundled MCP client, which called a non-existent `brain.search(query, limit)` →
now `find({ query, limit })`.
- Storage config: collapse to one canonical top-level `path` key. The pre-8.0 aliases
(`rootDirectory`, `options.*`, `fileSystemStorage.*`) are removed and now THROW with the
exact rename instead of silently defaulting to `./brainy-data` on upgrade. A single resolver
feeds createStorage, the 7.x→8.0 migration probe, and the plugin-factory handoff, so a native
storage provider resolves the identical root (no split-brain).
- Fix `similar({ threshold })`: the min-similarity filter was silently dropped; it is now
applied as a post-filter on `result.score` (the documented way to bound semantic results).
- Fix `vfs.rename()` on a directory: child path updates spread the entity vector into `update()`
and failed dimension validation; they are metadata-only updates now.
- Fix `vfs.move()`: copy+delete orphaned the content-addressed content blob (the destination
shared the source hash, then unlink removed it). `move()` now delegates to `rename()` — an
in-place path change that preserves the blob and the entity id, for files and directories.
- Fix streaming import: the bulk fast path never flushed mid-import nor signalled queryability.
Entity writes are now chunked by a progressive flush interval (100 → 1000 → 5000); each chunk
flushes and emits `progress.queryable`, so imported data is queryable during the import.
- Sweep all docs, comments, and JSDoc for the removed/changed APIs.
Integration suite: 49 files / 588 passed / 0 failed. Unit: 80 files / 1456 passed, no type errors.
Removed 9 undocumented feature sections from VFS docs (version history, distributed filesystem, AI auto-organization, etc.). Added status labels (Production/Beta/Experimental) to all features, updated performance claims with MEASURED vs PROJECTED labels, and created ROADMAP.md for planned features. Fixed storage adapter list to show only built-in adapters.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add brain.extract() and brain.extractConcepts() methods that use
NeuralEntityExtractor with embeddings and sophisticated NounType
taxonomy (30+ entity types) for semantic entity and concept extraction.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add safe tree operations that guarantee no directory appears as its own child:
- getDirectChildren() returns only immediate children
- getTreeStructure() builds safe tree with recursion protection
- getDescendants() gets all descendants efficiently
- inspect() provides comprehensive path information
Also includes VFSTreeUtils for building and validating tree structures.
This resolves the common infinite recursion issue when building file
explorers, as discovered by the Soulcraft Studio team.
Co-Authored-By: User <noreply@user.local>
Add production-ready Virtual File System with intelligent Knowledge Layer:
Core VFS Features:
- Complete file system operations (read, write, mkdir, etc.)
- Intelligent PathResolver with 4-layer caching system
- Chunked storage for large files with real compression
- Embedding generation for semantic operations
- File relationships and metadata tracking
- Import functionality from local filesystem
Knowledge Layer Integration:
- EventRecorder for complete file history and temporal coupling
- SemanticVersioning with content-based change detection
- PersistentEntitySystem for character/entity tracking across files
- ConceptSystem for universal concept mapping and graphs
- GitBridge for import/export between VFS and Git repositories
Architecture:
- KnowledgeAugmentation properly integrated into Brainy augmentation system
- KnowledgeLayer wrapper provides real-time VFS operation interception
- Background processing ensures VFS operations remain fast
- All components use real Brainy embed() method for embeddings
- Support for creative writing, coding projects, and project management
Technical Implementation:
- Fixed all stub/mock implementations with real working code
- TypeScript compilation passes without errors
- Comprehensive test suite demonstrating all features
- Documentation covering architecture and usage patterns
- Backwards compatible with existing Brainy functionality
This enables scenarios like writing books with persistent characters,
managing coding projects with concept tracking, and complete project
coordination with intelligent file relationships.
