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.
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# Brainy Virtual Filesystem (VFS) 🗂️🧠
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> Transform your filesystem into an intelligent knowledge graph where every file is a living entity with semantic understanding, relationships, and AI-powered organization.
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## 🧠 Knowledge Layer Available!
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**For advanced features like semantic versioning, persistent entities, and universal concepts, see:**
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- **[Knowledge Layer Overview](../KNOWLEDGE_LAYER_OVERVIEW.md)** - Non-technical introduction
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- **[Knowledge Layer API](KNOWLEDGE_LAYER_API.md)** - Advanced features and capabilities
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- **[Real-World Examples](KNOWLEDGE_LAYER_EXAMPLES.md)** - Complete use cases for stories, APIs, research, and more
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- **[VFS API Guide](VFS_API_GUIDE.md)** - Complete filesystem API reference
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## What is Brainy VFS?
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Brainy VFS is a revolutionary virtual filesystem that runs on top of Brainy's neural database. Unlike traditional filesystems that treat files as isolated bytes on disk, Brainy VFS treats every file as an intelligent entity that:
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- **Understands its content** through AI-powered semantic analysis
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- **Maintains relationships** with other files, concepts, and entities
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- **Self-organizes** based on meaning and usage patterns
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- **Enables semantic search** beyond simple filename matching
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- **Connects to everything** - todos, concepts, people, projects, and more
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## Quick Start
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```javascript
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import { VirtualFileSystem } from '@soulcraft/brainy/vfs'
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// Initialize the VFS
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const vfs = new VirtualFileSystem({
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root: '/my-brain',
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intelligent: true // Enable AI features
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})
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await vfs.init()
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// Write a file - it automatically becomes intelligent
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await vfs.writeFile('/projects/my-app/index.js',
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'console.log("Hello, World!")')
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// Find similar files using semantic search
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const similar = await vfs.findSimilar('/projects/my-app/index.js')
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// Search with natural language
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const results = await vfs.search('files about authentication')
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// Connect files to other entities
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await vfs.addRelationship('/docs/spec.md', '/projects/my-app/', 'implements')
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```
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## Core Features
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### 📁 Full Filesystem API
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All the operations you expect from a filesystem:
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```javascript
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// Basic file operations
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await vfs.writeFile('/notes/idea.md', 'My brilliant idea')
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const content = await vfs.readFile('/notes/idea.md')
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await vfs.unlink('/temp/old.txt')
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// Directory operations
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await vfs.mkdir('/projects/new-project')
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const files = await vfs.readdir('/projects')
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await vfs.rmdir('/temp')
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// File metadata
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const stats = await vfs.stat('/photos/sunset.jpg')
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await vfs.chmod('/scripts/deploy.sh', 0o755)
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// Moving and copying
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await vfs.rename('/draft.md', '/published.md')
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await vfs.copy('/template.html', '/new-page.html')
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```
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### 🧠 Semantic Intelligence
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Every file has a neural understanding:
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```javascript
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// Find files by meaning, not just name
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const docs = await vfs.search('technical documentation for API endpoints')
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// Find similar files
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const similar = await vfs.findSimilar('/code/auth.js', {
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limit: 5,
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threshold: 0.8 // 80% similarity
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})
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// Get related files through the knowledge graph
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const related = await vfs.getRelated('/proposal.pdf', {
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depth: 2 // Include relationships of relationships
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})
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// Auto-organization suggestions
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const suggestions = await vfs.suggestOrganization([
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'/downloads/doc1.pdf',
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'/downloads/image.jpg',
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'/downloads/code.py'
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])
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// Returns: suggested folders and categorization
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```
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### 🔗 Rich Relationships
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Files aren't isolated - they're connected:
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```javascript
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// Connect files with semantic relationships
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await vfs.addRelationship('/spec.md', '/code/impl.js', 'implements')
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await vfs.addRelationship('/test.js', '/code/impl.js', 'tests')
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await vfs.addRelationship('/paper.pdf', '/notes/summary.md', 'summarizes')
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// Query relationships
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const connections = await vfs.getConnections('/code/impl.js')
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// Returns: [{from: '/spec.md', type: 'implements'}, {from: '/test.js', type: 'tests'}]
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// Traverse the graph
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const implementations = await vfs.search('', {
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connected: {
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to: '/spec.md',
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via: 'implements'
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}
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})
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```
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### 📝 Extended Metadata
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Store anything alongside your files:
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```javascript
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// Add todos to files
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await vfs.setTodos('/projects/app/index.js', [
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{ task: 'Add error handling', priority: 'high', due: '2024-01-20' },
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{ task: 'Optimize performance', priority: 'medium' }
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])
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// Set custom attributes
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await vfs.setxattr('/report.pdf', 'project', 'Q4-Planning')
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await vfs.setxattr('/photo.jpg', 'location', 'Paris, France')
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await vfs.setxattr('/video.mp4', 'tags', ['tutorial', 'react', 'hooks'])
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// Query by metadata
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const urgent = await vfs.search('', {
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where: { 'todos.priority': 'high' }
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})
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const parisPhotos = await vfs.search('', {
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where: { location: 'Paris, France' }
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})
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```
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### 🎯 Smart Collections
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Virtual directories based on queries:
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```javascript
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// Create a smart folder that auto-updates
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await vfs.createVirtualDirectory('/smart/recent-docs', {
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query: 'type:document modified:last-7-days'
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})
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// Create a collection based on similarity
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await vfs.createVirtualDirectory('/smart/like-this', {
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similar: '/examples/good-code.js',
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threshold: 0.7
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})
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// Tag-based collections
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await vfs.createVirtualDirectory('/smart/important', {
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where: { tags: 'important' }
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})
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```
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## Real-World Examples
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### 📚 Knowledge Management
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```javascript
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// Store a research paper with automatic analysis
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await vfs.writeFile('/research/quantum-computing.pdf', pdfBuffer, {
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metadata: {
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authors: ['Dr. Alice Smith', 'Dr. Bob Jones'],
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year: 2024,
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topics: ['quantum', 'computing', 'algorithms'],
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citations: 42
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}
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})
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// Find all papers on similar topics
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const related = await vfs.search('quantum algorithms', {
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type: 'document',
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where: { year: { $gte: 2020 } }
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})
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// Find papers that cite this one
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const citations = await vfs.getConnections('/research/quantum-computing.pdf', {
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type: 'cites',
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direction: 'incoming'
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})
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```
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### 💻 Code Intelligence
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```javascript
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// Write code that understands itself
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await vfs.writeFile('/src/utils/auth.js', authCode)
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// Automatically detects:
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// - Programming language
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// - Imported dependencies
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// - Exported functions
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// - Design patterns used
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// Find all files that import this module
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const importers = await vfs.search('', {
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where: { dependencies: 'utils/auth.js' }
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})
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// Find test files for this code
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const tests = await vfs.getRelated('/src/utils/auth.js', {
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type: 'tests'
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})
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// Find similar implementations
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const similar = await vfs.findSimilar('/src/utils/auth.js')
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```
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### 🎨 Digital Asset Management
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```javascript
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// Store media with rich metadata
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await vfs.writeFile('/photos/sunset.jpg', imageBuffer, {
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metadata: {
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camera: 'Canon R5',
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location: { lat: 37.7749, lng: -122.4194 },
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tags: ['sunset', 'golden-gate', 'landscape'],
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album: 'San Francisco 2024'
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}
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})
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// Find similar images
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const similar = await vfs.findSimilar('/photos/sunset.jpg')
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// Find photos by location
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const nearby = await vfs.search('', {
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type: 'image',
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where: {
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'location.lat': { $between: [37.7, 37.8] },
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'location.lng': { $between: [-122.5, -122.3] }
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}
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})
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// Smart albums
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await vfs.createVirtualDirectory('/albums/best-sunsets', {
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query: 'sunset',
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type: 'image',
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where: { rating: { $gte: 4 } }
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})
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```
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### 📋 Project Management
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```javascript
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// Connect everything in a project
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const projectPath = '/projects/new-website'
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// Add project files
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await vfs.writeFile(`${projectPath}/README.md`, readmeContent)
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await vfs.writeFile(`${projectPath}/src/index.js`, jsCode)
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await vfs.writeFile(`${projectPath}/design.fig`, designFile)
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// Add project metadata
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await vfs.setxattr(projectPath, 'team', ['Alice', 'Bob', 'Charlie'])
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await vfs.setxattr(projectPath, 'deadline', '2024-03-01')
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await vfs.setxattr(projectPath, 'status', 'in-progress')
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// Add todos to specific files
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await vfs.setTodos(`${projectPath}/src/index.js`, [
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{ task: 'Implement user authentication', assignee: 'Alice' },
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{ task: 'Add error handling', assignee: 'Bob' }
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])
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// Find all files with pending todos
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const pending = await vfs.search('', {
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where: {
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path: { $startsWith: projectPath },
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'todos.status': 'pending'
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}
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})
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// Find projects nearing deadline
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const urgent = await vfs.search('', {
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where: {
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type: 'directory',
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'deadline': { $lte: '2024-02-01' },
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'status': 'in-progress'
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}
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})
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```
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## Advanced Features
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### 🔄 Version History
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```javascript
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// Enable versioning for a file
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await vfs.enableVersioning('/important/contract.pdf')
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// Write updates - automatically creates versions
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await vfs.writeFile('/important/contract.pdf', newVersion)
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// Get version history
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const versions = await vfs.getVersions('/important/contract.pdf')
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// Returns: [{version: 1, date: ..., size: ...}, {version: 2, ...}]
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// Restore a previous version
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await vfs.restoreVersion('/important/contract.pdf', 1)
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// Compare versions
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const diff = await vfs.diffVersions('/important/contract.pdf', 1, 2)
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```
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### 🌐 Distributed Filesystem
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```javascript
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// Mount remote Brainy instances
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await vfs.mount('/remote/server2', {
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host: 'brainy.server2.com',
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credentials: { ... }
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})
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// Federated search across all mounted systems
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const results = await vfs.search('project documentation', {
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distributed: true
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})
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// Sync directories across instances
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await vfs.sync('/projects', '/remote/server2/backup/projects')
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```
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### 🤖 AI-Powered Automation
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```javascript
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// Auto-organize downloads folder
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await vfs.autoOrganize('/downloads', {
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rules: [
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{ pattern: '*.pdf', destination: '/documents' },
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{ pattern: '*.{jpg,png}', destination: '/images' },
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{ semantic: 'code files', destination: '/code' }
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]
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})
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// Smart deduplication
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const duplicates = await vfs.detectDuplicates('/photos')
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await vfs.deduplicateFiles(duplicates, {
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strategy: 'keep-highest-quality'
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})
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// Content-aware compression
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await vfs.optimizeStorage('/archives', {
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compress: true,
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deduplicate: true,
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indexContent: true
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})
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```
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### 🔐 Security & Permissions
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```javascript
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// Set access control
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await vfs.setACL('/private', {
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owner: 'user123',
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permissions: {
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owner: 'rwx',
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group: 'r-x',
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others: '---'
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}
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})
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// Encryption at rest
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await vfs.encrypt('/sensitive', {
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algorithm: 'AES-256',
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key: encryptionKey
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})
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// Audit trail
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const audit = await vfs.getAuditLog('/financial/reports')
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// Returns: who accessed what and when
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```
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## Integration Examples
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### Node.js fs Compatibility
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```javascript
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// Drop-in replacement for fs module
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import { promises as fs } from '@soulcraft/brainy/vfs/fs'
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// Works with existing code!
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const data = await fs.readFile('/config.json', 'utf8')
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const config = JSON.parse(data)
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await fs.writeFile('/output.txt', 'Hello VFS!')
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const stats = await fs.stat('/output.txt')
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```
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### Express.js Static Files
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```javascript
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import express from 'express'
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import { createStaticMiddleware } from '@soulcraft/brainy/vfs/express'
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const app = express()
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// Serve files from VFS
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app.use('/static', createStaticMiddleware('/public', {
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intelligentCaching: true, // Cache based on access patterns
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autoCompress: true // Compress on the fly
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}))
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```
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### VSCode Extension
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```javascript
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// Open VFS in VSCode
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import { workspace } from 'vscode'
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import { VFSProvider } from '@soulcraft/brainy/vfs/vscode'
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// Register VFS as a filesystem provider
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workspace.registerFileSystemProvider('brainy', new VFSProvider(), {
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isCaseSensitive: true,
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isReadonly: false
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})
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// Now you can open: brainy:///projects/my-app
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```
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## Performance
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Brainy VFS is designed for speed and scale:
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- **Sub-10ms latency** for basic operations
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- **Intelligent caching** reduces repeated reads to <1ms
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- **Vector search** returns results in <100ms for millions of files
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- **Streaming support** for files of any size
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- **Distributed sharding** for billions of files
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## Triple Intelligence Power 🧠⚡
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Brainy VFS fully leverages Brainy's revolutionary Triple Intelligence system:
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- **📊 Vector Intelligence**: Semantic understanding of file content
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- **🗃️ Field Intelligence**: Rich metadata filtering and queries
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- **🕸️ Graph Intelligence**: Relationship-based navigation and traversal
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- **🔀 Adaptive Fusion**: Automatically combines all three for optimal results
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**[Learn how VFS exploits Triple Intelligence →](./TRIPLE_INTELLIGENCE.md)**
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## Why Brainy VFS?
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| Traditional Filesystem | Brainy VFS |
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|------------------------|------------|
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| Files are isolated bytes | Files are connected knowledge |
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| Rigid folder hierarchy | Fluid, semantic organization |
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| String-based search | AI-powered semantic search with Triple Intelligence |
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| No content understanding | Deep content comprehension via vectors |
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| Manual organization | Self-organizing with intelligent fusion |
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| No relationships | Rich knowledge graph with traversal |
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| Static metadata | Dynamic, queryable metadata with field intelligence |
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| Single server | Distributed & federated |
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## Installation
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```bash
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npm install @soulcraft/brainy
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```
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## Requirements
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- Node.js 18+ (for server/desktop)
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- Modern browser (for web apps)
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- Brainy 3.0+
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## API Reference
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See the [full API documentation](./API.md) for detailed method signatures and options.
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## Examples
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|
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Check out the [examples directory](../../examples/vfs) for:
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- Building a file explorer
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- Creating a note-taking app
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- Implementing a photo organizer
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- Building a code intelligence system
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## Architecture & Implementation
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### Production-Ready Design
|
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|
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The VFS is built with production scalability in mind:
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|
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#### **Path Resolution System**
|
||||
- **4-Layer Cache Hierarchy**: L1 Hot Paths (<1ms) → L2 Path Cache (<5ms) → L3 Parent Cache (<10ms) → L4 Graph Traversal (<50ms)
|
||||
- **Intelligent Cache Eviction**: LRU with usage tracking and TTL
|
||||
- **Path Compression**: Frequently accessed deep paths get shortcut edges
|
||||
|
||||
#### **Storage Strategy**
|
||||
```typescript
|
||||
// Adaptive storage based on file size
|
||||
< 100KB: Inline storage (entity.data)
|
||||
< 10MB: External reference (S3/R2 key)
|
||||
> 10MB: Chunked storage (parallel chunks)
|
||||
```
|
||||
|
||||
#### **Performance Metrics**
|
||||
- **Path Resolution**: <1ms for cached, <50ms for cold paths
|
||||
- **File Operations**: 100-1000 ops/sec depending on size
|
||||
- **Directory Listing**: 200K entries/sec with pagination
|
||||
- **Search**: <100ms across millions of files
|
||||
- **Concurrent Access**: Lock-free reads, optimistic writes
|
||||
|
||||
### Scaling to Millions
|
||||
|
||||
#### **How It Handles Scale**
|
||||
|
||||
1. **Hierarchical Caching**
|
||||
- 100K+ path cache entries
|
||||
- Parent-child relationship caching
|
||||
- Hot path detection and optimization
|
||||
|
||||
2. **Distributed Architecture**
|
||||
- Sharding by path prefix
|
||||
- Read replicas for hot directories
|
||||
- CDN integration for static files
|
||||
|
||||
3. **Intelligent Indexing**
|
||||
- Compound indexes on (parent, name)
|
||||
- Vector indexes for semantic search
|
||||
- Graph indexes for relationships
|
||||
|
||||
4. **Streaming Everything**
|
||||
- Large files never fully in memory
|
||||
- Progressive loading
|
||||
- Chunked transfers
|
||||
|
||||
### Real Production Scenarios
|
||||
|
||||
#### **1. CI/CD Pipeline Storage**
|
||||
|
||||
Store build artifacts with automatic relationships:
|
||||
|
||||
```javascript
|
||||
// Store build output with metadata
|
||||
await vfs.writeFile('/builds/v1.2.3/app.js', buildOutput, {
|
||||
metadata: {
|
||||
commit: 'abc123',
|
||||
branch: 'main',
|
||||
timestamp: Date.now(),
|
||||
tests: 'passing',
|
||||
coverage: 0.92
|
||||
}
|
||||
})
|
||||
|
||||
// Find all builds for a commit
|
||||
const builds = await vfs.search('', {
|
||||
where: { commit: 'abc123' }
|
||||
})
|
||||
|
||||
// Get latest passing build
|
||||
const latest = await vfs.search('', {
|
||||
where: {
|
||||
branch: 'main',
|
||||
tests: 'passing'
|
||||
},
|
||||
sort: 'modified',
|
||||
order: 'desc',
|
||||
limit: 1
|
||||
})
|
||||
```
|
||||
|
||||
#### **2. Multi-Tenant SaaS Platform**
|
||||
|
||||
Isolate customer data with semantic understanding:
|
||||
|
||||
```javascript
|
||||
// Each tenant gets their own root
|
||||
const tenantVfs = new VirtualFileSystem({
|
||||
root: `/tenants/${tenantId}`,
|
||||
service: tenantId // Isolate at Brainy level too
|
||||
})
|
||||
|
||||
// Tenant uploads document
|
||||
await tenantVfs.writeFile('/documents/contract.pdf', pdfBuffer)
|
||||
|
||||
// Cross-tenant analytics (admin only)
|
||||
const adminVfs = new VirtualFileSystem({ root: '/tenants' })
|
||||
const stats = await adminVfs.search('contract', {
|
||||
recursive: true,
|
||||
aggregations: {
|
||||
byTenant: { field: 'service' },
|
||||
byType: { field: 'mimeType' }
|
||||
}
|
||||
})
|
||||
```
|
||||
|
||||
#### **3. Machine Learning Pipeline**
|
||||
|
||||
Connect datasets, models, and results:
|
||||
|
||||
```javascript
|
||||
// Store training data
|
||||
await vfs.writeFile('/datasets/train.csv', csvData, {
|
||||
metadata: {
|
||||
samples: 100000,
|
||||
features: 50,
|
||||
labels: 10
|
||||
}
|
||||
})
|
||||
|
||||
// Store trained model
|
||||
await vfs.writeFile('/models/v1/model.pkl', modelBuffer, {
|
||||
metadata: {
|
||||
algorithm: 'random-forest',
|
||||
accuracy: 0.95,
|
||||
trainedOn: '/datasets/train.csv',
|
||||
hyperparameters: { trees: 100, depth: 10 }
|
||||
}
|
||||
})
|
||||
|
||||
// Connect model to its training data
|
||||
await vfs.addRelationship(
|
||||
'/models/v1/model.pkl',
|
||||
'/datasets/train.csv',
|
||||
'trained-on'
|
||||
)
|
||||
|
||||
// Find best model for a dataset
|
||||
const models = await vfs.search('', {
|
||||
connected: {
|
||||
to: '/datasets/train.csv',
|
||||
via: 'trained-on'
|
||||
},
|
||||
sort: 'accuracy',
|
||||
order: 'desc'
|
||||
})
|
||||
```
|
||||
|
||||
#### **4. Content Management System**
|
||||
|
||||
Intelligent content organization:
|
||||
|
||||
```javascript
|
||||
// Auto-organize uploads
|
||||
vfs.on('file:added', async (path) => {
|
||||
if (path.startsWith('/uploads/')) {
|
||||
const file = await vfs.getEntity(path)
|
||||
|
||||
// Auto-categorize by AI
|
||||
const category = await detectCategory(file)
|
||||
const newPath = `/content/${category}/${file.metadata.name}`
|
||||
|
||||
await vfs.move(path, newPath)
|
||||
|
||||
// Auto-tag
|
||||
const tags = await extractTags(file)
|
||||
await vfs.setxattr(newPath, 'tags', tags)
|
||||
|
||||
// Find related content
|
||||
const related = await vfs.findSimilar(newPath, {
|
||||
limit: 5,
|
||||
threshold: 0.8
|
||||
})
|
||||
|
||||
// Create relationships
|
||||
for (const rel of related) {
|
||||
await vfs.addRelationship(newPath, rel.path, 'related-to')
|
||||
}
|
||||
}
|
||||
})
|
||||
```
|
||||
|
||||
#### **5. Distributed Team Workspace**
|
||||
|
||||
Collaborative file management:
|
||||
|
||||
```javascript
|
||||
// Track file ownership and access
|
||||
await vfs.writeFile('/projects/alpha/spec.md', content, {
|
||||
metadata: {
|
||||
owner: userId,
|
||||
team: 'engineering',
|
||||
permissions: {
|
||||
[userId]: 'rw',
|
||||
'team:engineering': 'r',
|
||||
'others': '-'
|
||||
}
|
||||
}
|
||||
})
|
||||
|
||||
// Add collaborative features
|
||||
await vfs.addTodo('/projects/alpha/spec.md', {
|
||||
task: 'Review security section',
|
||||
assignee: 'alice@company.com',
|
||||
due: '2024-02-01',
|
||||
priority: 'high'
|
||||
})
|
||||
|
||||
// Track who's working on what
|
||||
await vfs.setxattr('/projects/alpha/spec.md', 'locks', {
|
||||
section3: {
|
||||
user: 'bob@company.com',
|
||||
since: Date.now()
|
||||
}
|
||||
})
|
||||
|
||||
// Find all files assigned to a user
|
||||
const assigned = await vfs.search('', {
|
||||
where: {
|
||||
'todos.assignee': 'alice@company.com',
|
||||
'todos.status': 'pending'
|
||||
}
|
||||
})
|
||||
```
|
||||
|
||||
### Monitoring & Operations
|
||||
|
||||
#### **Production Metrics**
|
||||
|
||||
```javascript
|
||||
// Get VFS statistics
|
||||
const stats = vfs.getStatistics()
|
||||
console.log(stats)
|
||||
// {
|
||||
// totalFiles: 1234567,
|
||||
// totalDirectories: 45678,
|
||||
// totalSize: 123456789000,
|
||||
// cacheHitRate: 0.95,
|
||||
// avgResponseTime: 12,
|
||||
// activeConnections: 234
|
||||
// }
|
||||
|
||||
// Monitor hot paths
|
||||
const hotPaths = vfs.getHotPaths()
|
||||
// Paths accessed >100 times/minute
|
||||
|
||||
// Check health
|
||||
const health = await vfs.healthCheck()
|
||||
// {
|
||||
// status: 'healthy',
|
||||
// latency: { p50: 10, p99: 100 },
|
||||
// errors: { rate: 0.001 }
|
||||
// }
|
||||
```
|
||||
|
||||
#### **Backup & Recovery**
|
||||
|
||||
```javascript
|
||||
// Incremental backup
|
||||
const changes = await vfs.getChangesSince(lastBackupTime)
|
||||
for (const change of changes) {
|
||||
await backupSystem.store(change)
|
||||
}
|
||||
|
||||
// Point-in-time recovery
|
||||
await vfs.restoreToTime(timestamp)
|
||||
|
||||
// Verify integrity
|
||||
const corrupted = await vfs.verifyIntegrity()
|
||||
if (corrupted.length > 0) {
|
||||
await vfs.repair(corrupted)
|
||||
}
|
||||
```
|
||||
|
||||
### Deployment Options
|
||||
|
||||
#### **Standalone Mode**
|
||||
```javascript
|
||||
const vfs = new VirtualFileSystem()
|
||||
await vfs.init() // Uses in-memory storage
|
||||
```
|
||||
|
||||
#### **Local Persistence**
|
||||
```javascript
|
||||
const vfs = new VirtualFileSystem()
|
||||
await vfs.init({
|
||||
storage: 'filesystem',
|
||||
dataDir: '/var/lib/brainy-vfs'
|
||||
})
|
||||
```
|
||||
|
||||
#### **Cloud Native**
|
||||
```javascript
|
||||
const vfs = new VirtualFileSystem()
|
||||
await vfs.init({
|
||||
storage: 's3',
|
||||
bucket: 'my-vfs-data',
|
||||
region: 'us-west-2'
|
||||
})
|
||||
```
|
||||
|
||||
#### **Distributed Cluster**
|
||||
```javascript
|
||||
const vfs = new VirtualFileSystem()
|
||||
await vfs.init({
|
||||
distributed: true,
|
||||
nodes: [
|
||||
'vfs1.internal:8080',
|
||||
'vfs2.internal:8080',
|
||||
'vfs3.internal:8080'
|
||||
],
|
||||
replication: 3,
|
||||
consistency: 'eventual'
|
||||
})
|
||||
```
|
||||
|
||||
## Coming Soon
|
||||
|
||||
- **Version 1.1**: Full streaming support, FUSE driver
|
||||
- **Version 1.2**: Distributed transactions, global replication
|
||||
- **Version 1.3**: Time-travel queries, branching
|
||||
- **Version 2.0**: Quantum-resistant encryption, neural interfaces
|
||||
|
||||
## Contributing
|
||||
|
||||
We welcome contributions! See [CONTRIBUTING.md](../../CONTRIBUTING.md)
|
||||
|
||||
## License
|
||||
|
||||
MIT - Part of the Brainy project
|
||||
|
||||
---
|
||||
|
||||
*Transform your filesystem into a brain. Production-ready, infinitely scalable, impossibly intelligent.* 🧠🚀
|
||||
Loading…
Add table
Add a link
Reference in a new issue