Second Brain Stack is the ultimate self-hosted knowledge management platform that combines the power of modern AI with complete data ownership. Built from the ground up with a microservices architecture, it provides intelligent content ingestion, semantic search, knowledge graph construction, and conversational interfaces.

• 🏠 Self-Hosted: Complete control over your data - no third-party dependencies
• 🧠 AI-Powered: Semantic search, entity extraction, and intelligent relationships
• ⚡ Production Ready: Docker containers, monitoring, and scalable architecture
• 🔍 Multi-Modal Search: Full-text, semantic, and hybrid search capabilities
• 🕸️ Knowledge Graph: Automatic entity and relationship discovery
• 💬 Conversational: Chat with your knowledge base using RAG
• 🎨 Beautiful Interfaces: Rich CLI, modern web UI, and terminal interfaces
• 🐳 Cloud Native: Kubernetes ready with comprehensive monitoring

• 🖥️ Rich CLI: Beautiful terminal interface with progress bars and tables
• 📱 Terminal UI: Full-featured TUI with Textual framework
• 🌐 Web Interface: Modern responsive web app
• 🔌 REST API: Complete RESTful API for integrations
• 💬 Chat Interface: Interactive conversational experience

• 📁 Filesystem: Documents, code, notes, PDFs
• 🌐 Web Scraping: Websites, blogs, articles
• 📚 Git Repositories: Code analysis with commit history
• 🔗 External APIs: Third-party integrations
• 📊 Databases: SQL and NoSQL database connectors

• Python 3.9+
• Docker & Docker Compose (optional)
• Git

# Clone the repository
git clone https://github.com/your-username/second-brain-stack.git
cd second-brain-stack

# Set up development environment
make setup-dev
source .venv/bin/activate

# Create configuration
make create-sample-config

# Initialize database
python -m interfaces.cli db init

# Ingest documents from filesystem
python -m interfaces.cli ingest add --source filesystem --path ~/documents --recursive

# Search your knowledge base
python -m interfaces.cli search query "machine learning algorithms"

# Start interactive chat
python -m interfaces.cli chat

# View database statistics
python -m interfaces.cli db stats

# Configuration management
python -m interfaces.cli config show

# Development environment
make run-dev

# Production deployment
make deploy-prod

# View logs
make logs

Second Brain Stack follows a modern microservices architecture designed for scalability and maintainability.

graph TB
    subgraph "User Interfaces"
        CLI[Rich CLI]
        WEB[Web Interface]
        TUI[Terminal UI]
    end
    
    subgraph "API Gateway"
        GW[FastAPI Gateway]
        AUTH[Authentication]
    end
    
    subgraph "Core Services"
        INGEST[Ingestion Service]
        SEARCH[Search Service]
        KNOWLEDGE[Knowledge Service]
        CHAT[Chat Service]
    end
    
    subgraph "Data Layer"
        DB[(SQLite Database)]
        VECTORS[(Vector Storage)]
        CACHE[(Redis Cache)]
    end
    
    subgraph "External Sources"
        FS[Filesystem]
        WS[Web Sources]
        GIT[Git Repos]
        API[External APIs]
    end
    
    CLI --> GW
    WEB --> GW
    TUI --> GW
    
    GW --> INGEST
    GW --> SEARCH
    GW --> KNOWLEDGE
    GW --> CHAT
    
    INGEST --> DB
    SEARCH --> DB
    SEARCH --> VECTORS
    KNOWLEDGE --> DB
    CHAT --> DB
    CHAT --> CACHE
    
    INGEST --> FS
    INGEST --> WS
    INGEST --> GIT
    INGEST --> API

• Core Foundation: Database models, configuration system, logging
• Document Ingestion: Filesystem scanner with content processing
• CLI Interface: Rich terminal interface with full command set
• Database Operations: Async SQLite operations with FTS5
• Configuration Management: YAML-based configuration system
• Development Environment: Complete Docker setup with monitoring
• Content Processing: File type detection, deduplication, metadata extraction

• Vector Embeddings: Sentence transformer integration
• Semantic Search: Vector similarity search implementation
• Full-Text Search: FTS5 query optimization
• Ingestion Service: FastAPI microservice for document processing

• Knowledge Graph: Entity extraction and relationship mapping
• Chat Interface: RAG-powered conversational AI
• Web Interface: Modern FastAPI + HTMX frontend
• Additional Connectors: Web scraping, Git analysis, API integrations

• Core database models and operations
• Configuration and logging systems
• CLI interface with Rich styling
• Filesystem ingestion pipeline
• Docker containerization
• Development environment setup

• Vector embeddings with sentence-transformers
• Semantic search implementation
• Knowledge graph construction
• Entity and relationship extraction
• Search result ranking and relevance

• Complete microservices implementation
• API Gateway with authentication
• Search service with hybrid capabilities
• Knowledge service for graph operations
• Service discovery and health monitoring

• Modern web interface with FastAPI + HTMX
• Full-featured Terminal UI with Textual
• Mobile-responsive design
• Real-time collaboration features
• Advanced search filters and faceting

• Conversational AI with RAG
• Multi-modal content support (images, audio)
• Advanced analytics and insights
• Plugin architecture for extensibility
• Enterprise features and SSO

• Kubernetes deployment manifests
• Advanced monitoring and alerting
• Performance optimizations
• Mobile applications
• Community marketplace for plugins

Second Brain Stack uses a flexible YAML-based configuration system:

database:
  path: "storage/brain.db"
  wal_mode: true
  fts_enabled: true

services:
  ingestion:
    port: 8001
    workers: 4
  search:
    port: 8002
    embedding_model: "sentence-transformers/all-MiniLM-L6-v2"
  knowledge:
    port: 8003
    entity_model: "en_core_web_sm"

embeddings:
  model_path: "storage/models/"
  cache_size: 1000
  batch_size: 32

connectors:
  supported_file_types: [".txt", ".md", ".pdf", ".py"]
  max_file_size: "50MB"

• Document Processing: 1000+ documents/minute
• Search Performance: Sub-100ms query response times
• Storage Efficiency: Deduplication and compression
• Memory Usage: Configurable caching and batch processing
• Concurrent Users: Supports multiple simultaneous operations

• Data Ownership: Complete control over your information
• Local Processing: No data sent to external services
• Access Control: Authentication and authorization ready
• Encryption: At-rest and in-transit encryption support
• Audit Logging: Comprehensive activity tracking

We welcome contributions! Here's how to get started:

1. Fork the repository
2. Set up development environment: make setup-dev
3. Create a feature branch: git checkout -b feature/amazing-feature
4. Make your changes and add tests
5. Run tests: make test
6. Submit a pull request

# Setup development environment
make setup-dev
source .venv/bin/activate

# Run tests
make test

# Code formatting and linting
make format
make lint

# Start development services
make run-dev

# View logs
make logs

• Installation Guide
• Configuration Reference
• API Documentation
• Development Guide
• Deployment Guide

• Bug Reports: GitHub Issues
• Feature Requests: Discussions
• Documentation: Wiki

This project is licensed under the MIT License - see the LICENSE file for details.

• FastAPI: For the amazing async web framework
• SQLModel: For type-safe database operations
• Rich: For beautiful terminal interfaces
• Sentence Transformers: For powerful embeddings
• SQLite: For reliable local storage

If you find Second Brain Stack helpful, please consider:

• ⭐ Starring the repository
• 🍴 Forking and contributing
• 📢 Sharing with your network
• 💬 Joining our community discussions