# Brainy

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[![npm version](https://badge.fury.io/js/%40soulcraft%2Fbrainy.svg)](https://www.npmjs.com/package/@soulcraft/brainy) [![npm downloads](https://img.shields.io/npm/dm/@soulcraft/brainy.svg)](https://www.npmjs.com/package/@soulcraft/brainy) [![MIT License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE) [![TypeScript](https://img.shields.io/badge/%3C%2F%3E-TypeScript-%230074c1.svg)](https://www.typescriptlang.org/) ## The Knowledge Operating System **Every piece of knowledge in your application โ€” living, connected, and intelligent.** Stop fighting with vector databases, graph databases, and document stores. Stop stitching together Pinecone + Neo4j + MongoDB. **Brainy does all three, in one elegant API, from prototype to planet-scale.** ```javascript const brain = new Brainy() await brain.init() // That's it. You now have semantic search, graph relationships, // and document filtering. Zero configuration. Just works. ``` **Built by developers who were tired of:** - Spending weeks configuring embeddings, indexes, and schemas - Choosing between vector similarity OR graph relationships OR metadata filtering - Rewriting everything when you need to scale from 1,000 to 1,000,000,000 entities **Brainy makes the impossible simple: All three paradigms. One API. Any scale.** --- ## See It In Action **30 seconds to understand why Brainy is different:** ```javascript import { Brainy, NounType, VerbType } from '@soulcraft/brainy' const brain = new Brainy() await brain.init() // Add knowledge with context const reactId = await brain.add({ data: "React is a JavaScript library for building user interfaces", type: NounType.Concept, metadata: { category: "frontend", year: 2013 } }) const nextId = await brain.add({ data: "Next.js framework for React with server-side rendering", type: NounType.Concept, metadata: { category: "framework", year: 2016 } }) // Create relationships await brain.relate({ from: nextId, to: reactId, type: VerbType.BuiltOn }) // NOW THE MAGIC: Query with natural language const results = await brain.find({ query: "modern frontend frameworks", // ๐Ÿ” Vector similarity where: { year: { greaterThan: 2015 } }, // ๐Ÿ“Š Document filtering connected: { to: reactId, depth: 2 } // ๐Ÿ•ธ๏ธ Graph traversal }) // ALL THREE PARADIGMS. ONE QUERY. 10ms response time. ``` **This is impossible with traditional databases.** Brainy makes it trivial. --- ## From Prototype to Planet Scale **The same API. Zero rewrites. Any scale.** ### ๐Ÿ‘ค **Individual Developer** โ†’ Weekend Prototype ```javascript // Zero configuration - starts in memory const brain = new Brainy() await brain.init() // Build your prototype in minutes // Change nothing when ready to scale ``` **Perfect for:** Hackathons, side projects, rapid prototyping, learning AI concepts ### ๐Ÿ‘ฅ **Small Team** โ†’ Production MVP (Thousands of Entities) ```javascript // Add persistence - one line const brain = new Brainy({ storage: { type: 'filesystem', path: './brainy-data', compression: true // 60-80% space savings } }) ``` **Perfect for:** Startups, MVPs, internal tools, team knowledge bases **Scale:** Thousands to hundreds of thousands of entities **Performance:** <5ms queries, sub-second imports ### ๐Ÿข **Growing Company** โ†’ Multi-Million Entity Scale ```javascript // Scale to cloud - same API const brain = new Brainy({ storage: { type: 's3', s3Storage: { bucketName: 'my-knowledge-base', region: 'us-east-1' } }, hnsw: { typeAware: true } // 87% memory reduction }) ``` **Perfect for:** SaaS products, e-commerce, content platforms, enterprise apps **Scale:** Millions of entities **Performance:** <10ms queries, 12GB memory @ 10M entities **Features:** Auto-scaling, distributed storage, cost optimization (96% savings) ### ๐ŸŒ **Enterprise / Planet Scale** โ†’ Billion+ Entities ```javascript // Billion-scale - STILL the same API const brain = new Brainy({ storage: { type: 'gcs', gcsStorage: { bucketName: 'global-knowledge' } }, hnsw: { typeAware: true, M: 32, efConstruction: 400 } }) // Enable intelligent archival await brain.storage.enableAutoclass({ terminalStorageClass: 'ARCHIVE' }) ``` **Perfect for:** Fortune 500, global platforms, research institutions, government **Scale:** Billions of entities (tested at 1B+) **Performance:** 18ms queries @ 1B scale, 50GB memory (87% reduction) **Cost:** $138k/year โ†’ $6k/year with intelligent tiering (96% savings) **Features:** Sharding, replication, monitoring, enterprise SLAs ### ๐ŸŽฏ **The Point** **Start simple. Scale infinitely. Never rewrite.** Most systems force you to choose: - Simple but doesn't scale (SQLite, Redis) - Scales but complex (Kubernetes + 7 databases) **Brainy gives you both:** Starts simple as SQLite. Scales like Google. --- ## Why Brainy Is Revolutionary ### ๐Ÿง  **Triple Intelligenceโ„ข** โ€” The Impossible Made Possible **The world's first to unify three database paradigms in ONE API:** | What You Get | Like Having | But Unified | |-------------|-------------|-------------| | ๐Ÿ” **Vector Search** | Pinecone, Weaviate | Find by meaning | | ๐Ÿ•ธ๏ธ **Graph Relationships** | Neo4j, ArangoDB | Navigate connections | | ๐Ÿ“Š **Document Filtering** | MongoDB, Elasticsearch | Query metadata | **Every other system makes you choose.** Brainy does all three together. **Why this matters:** Your data isn't just vectors or just documents or just graphs. It's all three at once. A research paper is semantically similar to other papers (vector), written by an author (graph), and published in 2023 (document). **Brainy is the only system that understands this.** ### ๐ŸŽฏ **31 Noun Types ร— 40 Verb Types = Universal Protocol** Model **any domain** with mathematical completeness: ``` 31 Nouns ร— 40 Verbs ร— โˆž Metadata = 1,240+ base combinations ``` **Real-world expressiveness:** - Healthcare: `Patient โ†’ diagnoses โ†’ Condition` - Finance: `Account โ†’ transfers โ†’ Transaction` - Manufacturing: `Product โ†’ assembles โ†’ Component` - Education: `Student โ†’ completes โ†’ Course` - **YOUR domain** โ†’ Your types + relationships = Your knowledge graph [โ†’ See the Mathematical Proof](docs/architecture/noun-verb-taxonomy.md) ### โšก **Zero Configuration Philosophy** **We hate configuration files. So we eliminated them.** ```javascript const brain = new Brainy() // Auto-detects everything await brain.init() // Optimizes for your environment ``` Brainy automatically: - Detects optimal storage (memory/filesystem/cloud) - Configures memory based on available RAM - Optimizes for containers (Docker/K8s) - Tunes indexes for your data patterns - Manages embedding models and caching **You write business logic. Brainy handles infrastructure.** --- ## What Can You Build? **If your app needs to remember, understand, or connect information โ€” Brainy makes it trivial.** ### ๐Ÿค– **AI Agents with Perfect Memory** Give your AI unlimited context that persists forever. Not just chat history โ€” true understanding of relationships, evolution, and meaning over time. **Examples:** Personal assistants, code assistants, conversational AI, research agents ### ๐Ÿ“š **Living Documentation & Knowledge Bases** Documentation that understands itself. Auto-links related concepts, detects outdated information, finds connections across your entire knowledge base. **Examples:** Internal wikis, research platforms, smart documentation, learning systems ### ๐Ÿ” **Semantic Search at Any Scale** Find by meaning, not keywords. Search codebases, research papers, customer data, or media libraries with natural language. **Examples:** Code search, research platforms, content discovery, recommendation engines ### ๐Ÿข **Enterprise Knowledge Management** Corporate memory that never forgets. Track every customer interaction, product evolution, and business relationship. **Examples:** CRM systems, product catalogs, customer intelligence, institutional knowledge ### ๐ŸŽฎ **Rich Interactive Experiences** NPCs that remember. Characters that persist across stories. Worlds that evolve based on real relationships. **Examples:** Game worlds, interactive fiction, educational platforms, creative tools ### ๐ŸŽจ **Content & Media Platforms** Every asset knows its relationships. Intelligent tagging, similarity-based discovery, and relationship-aware management. **Examples:** DAM systems, media libraries, writing assistants, content management **The pattern:** Knowledge that needs to live, connect, and evolve. That's what Brainy was built for. --- ## Quick Start ```bash npm install @soulcraft/brainy ``` ### Your First Knowledge Graph (60 seconds) ```javascript import { Brainy, NounType, VerbType } from '@soulcraft/brainy' const brain = new Brainy() await brain.init() // Add knowledge const jsId = await brain.add({ data: "JavaScript is a programming language", type: NounType.Concept, metadata: { category: "language", year: 1995 } }) const nodeId = await brain.add({ data: "Node.js runtime environment", type: NounType.Concept, metadata: { category: "runtime", year: 2009 } }) // Create relationships await brain.relate({ from: nodeId, to: jsId, type: VerbType.Executes }) // Query with Triple Intelligence const results = await brain.find({ query: "JavaScript", // ๐Ÿ” Vector where: { category: "language" }, // ๐Ÿ“Š Document connected: { from: nodeId, depth: 1 } // ๐Ÿ•ธ๏ธ Graph }) ``` **Done.** No configuration. No complexity. Production-ready from day one. --- ## Core Features ### ๐Ÿง  **Natural Language Queries** ```javascript // Ask naturally - Brainy understands await brain.find("recent React components with tests") await brain.find("JavaScript libraries similar to Vue") // Or use structured Triple Intelligence queries await brain.find({ query: "React", where: { type: "library", year: { greaterThan: 2020 } }, connected: { to: "JavaScript", depth: 2 } }) ``` ### ๐ŸŒ **Virtual Filesystem** โ€” Intelligent File Management Build file explorers and IDEs that never crash: ```javascript const vfs = brain.vfs() // Tree-aware operations prevent infinite recursion const tree = await vfs.getTreeStructure('/projects', { maxDepth: 3 }) // Semantic file search const reactFiles = await vfs.search('React components with hooks') ``` **[๐Ÿ“– VFS Quick Start โ†’](docs/vfs/QUICK_START.md)** | **[Common Patterns โ†’](docs/vfs/COMMON_PATTERNS.md)** | **[Neural Extraction โ†’](docs/vfs/NEURAL_EXTRACTION.md)** ### ๐Ÿš€ **Import Anything** โ€” CSV, Excel, PDF, URLs ```javascript await brain.import('customers.csv') // Auto-detects everything await brain.import('sales-data.xlsx', { excelSheets: ['Q1', 'Q2'] }) await brain.import('research-paper.pdf', { pdfExtractTables: true }) await brain.import('https://api.example.com/data.json') ``` **[๐Ÿ“– Complete Import Guide โ†’](docs/guides/import-anything.md)** ### ๐Ÿง  **Neural API** โ€” Advanced Semantic Analysis ```javascript // Clustering, similarity, outlier detection, visualization const clusters = await brain.neural.clusters({ algorithm: 'kmeans' }) const similarity = await brain.neural.similar('item1', 'item2') const outliers = await brain.neural.outliers(0.3) const vizData = await brain.neural.visualize({ maxNodes: 100 }) ``` --- ## Framework Integration **Works with any modern framework.** React, Vue, Angular, Svelte, Solid.js โ€” your choice. ```javascript // React const [brain] = useState(() => new Brainy()) useEffect(() => { brain.init() }, []) // Vue async mounted() { this.brain = await new Brainy().init() } // Angular @Injectable() export class BrainyService { brain = new Brainy() } ``` **Supports:** All bundlers (Webpack, Vite, Rollup) โ€ข SSR/SSG โ€ข Edge runtimes โ€ข Browser/Node.js **[๐Ÿ“– Framework Integration Guide โ†’](docs/guides/framework-integration.md)** | **[Next.js โ†’](docs/guides/nextjs-integration.md)** | **[Vue โ†’](docs/guides/vue-integration.md)** --- ## Storage โ€” From Memory to Planet-Scale ### Development โ†’ Just Works ```javascript const brain = new Brainy() // Memory storage, zero config ``` ### Production โ†’ Persistence with Compression ```javascript const brain = new Brainy({ storage: { type: 'filesystem', path: './data', compression: true } }) // 60-80% space savings with gzip ``` ### Cloud โ†’ AWS, GCS, Azure, Cloudflare R2 ```javascript // AWS S3 / Cloudflare R2 const brain = new Brainy({ storage: { type: 's3', s3Storage: { bucketName: 'my-knowledge-base', region: 'us-east-1' } } }) // Enable Intelligent-Tiering: 96% cost savings await brain.storage.enableIntelligentTiering('entities/', 'auto-tier') ``` **Cost optimization at scale:** | Scale | Standard | With Intelligent Tiering | Annual Savings | |-------|----------|--------------------------|----------------| | 5TB | $1,380 | $59 | $1,321 (96%) | | 50TB | $13,800 | $594 | $13,206 (96%) | | 500TB | $138,000 | $5,940 | $132,060 (96%) | **[๐Ÿ“– Cloud Storage Guide โ†’](docs/deployment/CLOUD_DEPLOYMENT_GUIDE.md)** | **[AWS Cost Optimization โ†’](docs/operations/cost-optimization-aws-s3.md)** | **[GCS โ†’](docs/operations/cost-optimization-gcs.md)** | **[Azure โ†’](docs/operations/cost-optimization-azure.md)** --- ## Production Features ### ๐ŸŽฏ Type-Aware HNSW Indexing โ€” 87% Memory Reduction Scale to billions affordably: - **1B entities:** 384GB โ†’ 50GB memory (-87%) - **Single-type queries:** 10x faster - **Multi-type queries:** 5-8x faster ```javascript const brain = new Brainy({ hnsw: { typeAware: true } }) ``` **[๐Ÿ“– How Type-Aware Indexing Works โ†’](docs/architecture/data-storage-architecture.md)** ### โšก Enterprise-Ready Operations (v4.0.0) - **Batch operations** with retry logic (1000x faster deletes) - **Gzip compression** (60-80% space savings) - **OPFS quota monitoring** (browser storage) - **Metadata/Vector separation** (billion-entity scalability) - **Circuit breakers & backpressure** (enterprise reliability) ```javascript // Batch operations await brain.storage.batchDelete(keys, { maxRetries: 3 }) // Monitor storage const status = await brain.storage.getStorageStatus() ``` ### ๐Ÿ“Š Adaptive Memory Management Auto-scales 2GB โ†’ 128GB+ based on environment: - Container-aware (Docker/K8s cgroups) - Environment-optimized (dev/staging/production) - Built-in cache monitoring with tuning recommendations ```javascript const stats = brain.getCacheStats() // Performance insights ``` **[๐Ÿ“– Capacity Planning Guide โ†’](docs/operations/capacity-planning.md)** --- ## Benchmarks | Operation | Performance | Memory | |-----------|-------------|--------| | Initialize | 450ms | 24MB | | Add entity | 12ms | +0.1MB | | Vector search (1K) | 3ms | - | | Metadata filter (10K) | 0.8ms | - | | Bulk import (1K) | 2.3s | +8MB | | **10M entities** | **5.8ms** | **12GB** | | **1B entities** | **18ms** | **50GB** | --- ## ๐Ÿง  Deep Dive: How Brainy Actually Works **Want to understand the magic under the hood?** ### ๐Ÿ” Triple Intelligence & find() API Understand how vector search, graph relationships, and document filtering work together in one unified query: **[๐Ÿ“– Triple Intelligence Architecture โ†’](docs/architecture/triple-intelligence.md)** **[๐Ÿ“– Natural Language Guide โ†’](docs/guides/natural-language.md)** **[๐Ÿ“– API Reference: find() โ†’](docs/api/README.md)** ### ๐Ÿ—‚๏ธ Type-Aware Indexing & HNSW Learn how we achieve 87% memory reduction and 10x query speedups at billion-scale: **[๐Ÿ“– Data Storage Architecture โ†’](docs/architecture/data-storage-architecture.md)** **[๐Ÿ“– Architecture Overview โ†’](docs/architecture/overview.md)** ### ๐Ÿ“ˆ Scaling: Individual โ†’ Planet Understand how the same code scales from prototype to billions of entities: **[๐Ÿ“– Capacity Planning โ†’](docs/operations/capacity-planning.md)** **[๐Ÿ“– Cloud Deployment Guide โ†’](docs/deployment/CLOUD_DEPLOYMENT_GUIDE.md)** ### ๐ŸŽฏ The Universal Type System Explore the mathematical foundation: 31 nouns ร— 40 verbs = any domain: **[๐Ÿ“– Noun-Verb Taxonomy โ†’](docs/architecture/noun-verb-taxonomy.md)** --- ## CLI Tools ```bash npm install -g brainy brainy add "JavaScript is awesome" --metadata '{"type":"opinion"}' brainy find "awesome programming languages" brainy search "programming" ``` 47 commands available, including storage management, imports, and neural operations. --- ## Documentation ### ๐Ÿš€ Getting Started - **[Getting Started Guide](docs/guides/getting-started.md)** โ€” Your first steps with Brainy - **[v4.0.0 Migration Guide](docs/MIGRATION-V3-TO-V4.md)** โ€” Upgrade from v3 (backward compatible) ### ๐Ÿง  Core Concepts - **[Triple Intelligence Architecture](docs/architecture/triple-intelligence.md)** โ€” How vector + graph + document work together - **[Natural Language Queries](docs/guides/natural-language.md)** โ€” Using find() effectively - **[API Reference](docs/api/README.md)** โ€” Complete API documentation - **[Noun-Verb Taxonomy](docs/architecture/noun-verb-taxonomy.md)** โ€” The universal type system ### ๐Ÿ—๏ธ Architecture & Scaling - **[Architecture Overview](docs/architecture/overview.md)** โ€” System design and components - **[Data Storage Architecture](docs/architecture/data-storage-architecture.md)** โ€” Type-aware indexing and HNSW - **[Capacity Planning](docs/operations/capacity-planning.md)** โ€” Memory, storage, and scaling guidelines ### โ˜๏ธ Production & Operations - **[Cloud Deployment Guide](docs/deployment/CLOUD_DEPLOYMENT_GUIDE.md)** โ€” Deploy to AWS, GCS, Azure - **[AWS Cost Optimization](docs/operations/cost-optimization-aws-s3.md)** | **[GCS](docs/operations/cost-optimization-gcs.md)** | **[Azure](docs/operations/cost-optimization-azure.md)** | **[Cloudflare R2](docs/operations/cost-optimization-cloudflare-r2.md)** ### ๐ŸŒ Framework Integration - **[Framework Integration Guide](docs/guides/framework-integration.md)** โ€” React, Vue, Angular, Svelte - **[Next.js Integration](docs/guides/nextjs-integration.md)** - **[Vue.js Integration](docs/guides/vue-integration.md)** ### ๐ŸŒณ Virtual Filesystem - **[VFS Quick Start](docs/vfs/QUICK_START.md)** โ€” Build file explorers that never crash - **[VFS Core Documentation](docs/vfs/VFS_CORE.md)** - **[Semantic VFS Guide](docs/vfs/SEMANTIC_VFS.md)** - **[Neural Extraction API](docs/vfs/NEURAL_EXTRACTION.md)** ### ๐Ÿ“ฆ Data Import - **[Import Anything Guide](docs/guides/import-anything.md)** โ€” CSV, Excel, PDF, URLs --- ## What's New in v4.0.0 **Enterprise-scale cost optimization and performance improvements:** - ๐ŸŽฏ **96% cloud storage cost savings** with intelligent tiering (AWS, GCS, Azure) - โšก **1000x faster batch deletions** (533 entities/sec vs 0.5/sec) - ๐Ÿ“ฆ **60-80% compression** with gzip (FileSystem storage) - ๐Ÿ”„ **Enhanced metadata/vector separation** for billion-scale deployments **[๐Ÿ“– Full v4.0.0 Changelog โ†’](CHANGELOG.md)** | **[Migration Guide โ†’](docs/MIGRATION-V3-TO-V4.md)** (100% backward compatible) --- ## Requirements **Node.js 22 LTS** (recommended) or **Node.js 20 LTS** ```bash nvm use # We provide .nvmrc ``` --- ## Why Brainy Exists **The Vision:** Traditional systems force you to choose between vector databases, graph databases, and document stores. You need all three, but combining them is complex and fragile. **Brainy solved the impossible:** One API. All three paradigms. Any scale. Like HTTP standardized web communication, **Brainy standardizes knowledge representation.** One protocol that any AI model understands. One system that scales from prototype to planet. **[๐Ÿ“– Read the Mathematical Proof โ†’](docs/architecture/noun-verb-taxonomy.md)** --- ## Enterprise & Support **๐Ÿข Brain Cloud** โ€” Managed Brainy with team sync, persistent memory, and enterprise connectors. Visit **[soulcraft.com](https://soulcraft.com)** for more information. **๐Ÿ’– Support Development:** - โญ Star us on **[GitHub](https://github.com/soulcraftlabs/brainy)** - ๐Ÿ’ Sponsor via **[GitHub Sponsors](https://github.com/sponsors/soulcraftlabs)** - ๐Ÿ› Report issues and contribute code - ๐Ÿ“ฃ Share with your team and community **Brainy is 100% free and open source.** No paywalls, no premium tiers, no feature gates. --- ## Contributing We welcome contributions! See **[CONTRIBUTING.md](CONTRIBUTING.md)** for guidelines. --- ## License MIT ยฉ Brainy Contributors ---

Built with โค๏ธ by the Brainy community
The Knowledge Operating System
From prototype to planet-scale โ€ข Zero configuration โ€ข Triple Intelligenceโ„ข