Second Brain Stack aims to be the definitive open-source, self-hosted knowledge management platform that combines the power of modern AI with complete data ownership and privacy control.
Goal: Establish core infrastructure and basic functionality
- Architecture Design: Microservices architecture with FastAPI
- Database Layer: SQLModel with SQLite and FTS5 integration
- Configuration System: Pydantic-based YAML configuration
- Logging Infrastructure: Structured logging with contextual information
- CLI Interface: Rich terminal interface with full command set
- Document Ingestion: Filesystem scanner with content processing
- Docker Infrastructure: Complete containerization setup
- Development Environment: Makefile, virtual environments, tooling
- Content Processing: File type detection, deduplication, metadata extraction
- Database Operations: Async SQLite operations with relationship mapping
- ✅ Working CLI interface with ingestion and database management
- ✅ SQLite database with FTS5 full-text search capability
- ✅ Filesystem connector for document ingestion
- ✅ Docker development and production environments
- ✅ Comprehensive project structure and tooling
Goal: Add semantic understanding and vector search capabilities
- Embeddings Framework: Sentence transformer integration architecture
- Vector Storage: sqlite-vec extension setup
- Similarity Search: Vector comparison and ranking utilities
- Model Integration: Download and cache embedding models
- Semantic Search: Vector similarity search with hybrid ranking
- Search Optimization: Query performance and result relevance tuning
- Entity Extraction: spaCy integration for named entity recognition
- Knowledge Graph Construction: Automated entity and relationship discovery
- Content Analysis: Language detection, topic modeling, sentiment analysis
- Search Enhancement: Hybrid search combining full-text and semantic results
- Performance Optimization: Caching, indexing, and query optimization
- 🎯 Semantic search with embedding-based similarity
- 🎯 Basic knowledge graph with entity extraction
- 🎯 Improved search relevance and ranking
- 🎯 Content analysis and categorization
Goal: Complete microservices implementation with API gateway
- API Gateway: FastAPI gateway with authentication and routing
- Search Service: Dedicated search microservice with caching
- Knowledge Service: Graph operations and entity management
- Ingestion Service: Enhanced document processing with queues
- Service Discovery: Health monitoring and service mesh
- Authentication: JWT-based auth with role-based access control
- Async Processing: Background task queues with Redis/Celery
- Caching Layer: Multi-level caching for performance
- API Documentation: OpenAPI specs with interactive docs
- Service Monitoring: Prometheus metrics and Grafana dashboards
- Error Handling: Comprehensive error handling and recovery
- 🎯 Complete microservices architecture
- 🎯 RESTful APIs with authentication
- 🎯 Service monitoring and observability
- 🎯 Horizontal scalability support
Goal: Modern, intuitive interfaces for all user types
- Web Interface: FastAPI + HTMX modern web application
- Terminal UI: Full-featured TUI with Textual framework
- Mobile Responsive: Adaptive design for all screen sizes
- Real-time Features: WebSocket support for live updates
- Advanced Search UI: Filters, facets, and visual query building
- Dashboard: Overview of knowledge base statistics and insights
- Document Viewer: Rich document display with highlighting
- Graph Visualization: Interactive knowledge graph exploration
- Search Interface: Advanced search with auto-complete and suggestions
- Settings Management: User preferences and configuration UI
- 🎯 Modern web interface with responsive design
- 🎯 Full-featured terminal user interface
- 🎯 Mobile-friendly access
- 🎯 Interactive data visualization
Goal: Conversational AI and advanced content understanding
- RAG Implementation: Retrieval-Augmented Generation for chat
- Conversational Interface: Natural language interaction with knowledge base
- Context Management: Multi-turn conversation handling
- Content Generation: AI-powered summaries and insights
- Multi-modal Support: Image, audio, and video content processing
- Question Answering: Direct answers from knowledge base
- Content Summarization: Automatic document and topic summaries
- Recommendation Engine: Related content and discovery suggestions
- Advanced NLP: Sentiment analysis, topic modeling, key phrase extraction
- Learning Capabilities: User feedback integration and model fine-tuning
- 🎯 Conversational AI interface
- 🎯 Multi-modal content support
- 🎯 Advanced content analysis
- 🎯 Intelligent recommendations
Goal: Production-scale deployment and enterprise features
- Kubernetes Deployment: Cloud-native deployment manifests
- Multi-tenancy: Organization and team management
- Enterprise SSO: SAML, OAuth, and LDAP integration
- Advanced Security: Encryption, audit trails, compliance
- Plugin Architecture: Extensibility framework for third-party integrations
- Distributed Storage: Multi-node database clustering
- Load Balancing: High-availability service deployment
- Performance Analytics: Detailed usage and performance metrics
- Backup & Recovery: Automated backup and disaster recovery
- Migration Tools: Data import/export and system migration
- 🎯 Enterprise-ready deployment
- 🎯 Multi-tenant architecture
- 🎯 Advanced security and compliance
- 🎯 Plugin ecosystem
- Phase 1: SQLite with FTS5 ✅
- Phase 2: Vector storage with sqlite-vec 🔄
- Phase 3: Distributed caching with Redis 📋
- Phase 4: Graph database for complex relationships 📋
- Phase 5: Multi-modal storage for media content 📋
- Phase 2: Sentence transformers for embeddings 🔄
- Phase 2: spaCy for entity extraction 🔄
- Phase 5: Large language models for chat 📋
- Phase 5: Computer vision for image analysis 📋
- Phase 6: Custom model fine-tuning 📋
- Phase 1: Docker development setup ✅
- Phase 3: Microservices with monitoring 📋
- Phase 4: Web interface with real-time updates 📋
- Phase 6: Kubernetes cloud deployment 📋
- Phase 6: Multi-cloud and hybrid deployment 📋
- Performance: Sub-100ms search response times
- Scale: Handle 1M+ documents efficiently
- Reliability: 99.9% uptime for production deployments
- Quality: 90%+ test coverage and automated quality gates
- Usability: Intuitive interfaces with minimal learning curve
- Functionality: Complete feature parity across all interfaces
- Accessibility: Full compliance with accessibility standards
- Documentation: Comprehensive docs with examples and tutorials
- Adoption: 1000+ GitHub stars and active community
- Contributions: Regular external contributions and PRs
- Ecosystem: Plugin marketplace with third-party integrations
- Support: Active community support and knowledge sharing
- Performance: Vector search scaling challenges → Implement caching and optimization
- Complexity: Microservices coordination → Comprehensive monitoring and testing
- Dependencies: External library updates → Version pinning and testing automation
- Feature Creep: Scope expansion → Strict phase-based development
- User Adoption: Interface complexity → User-centered design and testing
- Competition: Market alternatives → Focus on unique self-hosted value proposition
- Iterative Development: Short feedback cycles with working software
- Community Engagement: Early user feedback and contribution opportunities
- Documentation: Comprehensive guides for all user types
- Testing: Automated testing at all levels with continuous integration
We welcome community input on our roadmap! Here's how you can contribute:
- Feature Requests: Submit ideas via GitHub Issues
- Priority Feedback: Comment on roadmap items with your use cases
- Implementation Help: Contribute code for roadmap features
- Testing & Feedback: Test early releases and provide feedback
- Documentation: Help improve documentation and tutorials
This roadmap is reviewed and updated quarterly based on:
- Community feedback and feature requests
- Technical discoveries and constraints
- Market changes and competitive landscape
- Resource availability and team capacity
Last Updated: December 2024
Next Review: March 2025
For the most current roadmap status, see our GitHub Projects and Milestones.