Commit graph

2 commits

Author SHA1 Message Date
d4c9f71345 feat: v5.1.0 - VFS auto-initialization and complete API documentation
BREAKING CHANGES:
- VFS API changed from brain.vfs() (method) to brain.vfs (property)
- VFS now auto-initializes during brain.init() - no separate vfs.init() needed

Features:
- VFS auto-initialization with property access pattern
- Complete TypeAware COW support verification (all 20 methods)
- Comprehensive API documentation (docs/api/README.md)
- All 7 storage adapters verified with COW support

Bug Fixes:
- CLI now properly initializes brain before VFS operations
- Fixed infinite recursion in VFS initialization
- All VFS CLI commands updated to modern API

Documentation:
- Created comprehensive, verified API reference
- Consolidated documentation structure (deleted redundant quick starts)
- Updated all VFS docs to v5.1.0 patterns
- Fixed all internal documentation links

Verification:
- Memory Storage: 23/24 tests (95.8%)
- FileSystem Storage: 9/9 tests (100%)
- VFS Auto-Init: 7/7 tests (100%)
- Zero fake code confirmed
2025-11-02 10:58:52 -08:00
b3c4f348ab feat: implement complete VFS with Knowledge Layer integration
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.
2025-09-24 17:31:48 -07:00