Kade Heyborne
48c6ddc066
- Complete planning documentation for 5-phase development - UI design specifications and integration - Domain architecture and directory templates - Technical specifications and requirements - Knowledge incorporation strategies - Dana language reference and integration notes
197 lines
8.7 KiB
Markdown
197 lines
8.7 KiB
Markdown
# Phase 1: Foundation and Core Infrastructure
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**Timeline**: Weeks 1-4
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**Objective**: Establish the technical foundation and core system architecture
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**Success Criteria**: Functional backend API with all core services operational
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## Overview
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Phase 1 establishes the **dual manifold cognitive architecture foundation** - the revolutionary core that differentiates this system from traditional PKM tools. We implement the three-layer memory hierarchy (episodic, semantic, persona) and begin construction of both individual and collective manifolds. This phase creates the mathematical primitives for intelligence that transcends simple information retrieval.
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## Critical Dependencies
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- **Blocking for Phase 2**: File system integration, API endpoints, basic data services
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- **Dana Runtime**: Must be functional for agent development in later phases
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- **Database Setup**: Required for knowledge representation throughout the system
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## Detailed Implementation Plan
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### Week 1: Dual Manifold Mathematical Foundation
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#### Day 1-2: Manifold Primitives and Configuration
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- [ ] Implement mathematical primitives for manifold operations
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- [ ] Set up dual manifold configuration system
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- [ ] Create vector space management for individual/collective manifolds
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- [ ] Initialize geometric consistency validation
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- [ ] Set up development environment with manifold libraries
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#### Day 3-4: Episodic Memory Layer - Hybrid Indexing
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- [ ] Implement FAISS dense vector indexing for conceptual similarity
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- [ ] Build BM25 sparse indexing for exact technical term matching
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- [ ] Create reciprocal rank fusion for hybrid search results
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- [ ] Develop document chunking with temporal metadata preservation
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- [ ] Test hybrid retrieval accuracy and performance
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#### Day 5: Semantic Memory Layer - Temporal Distillation
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- [ ] Implement LLM-powered concept extraction from chunks
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- [ ] Build temporal trajectory analysis for cognitive evolution
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- [ ] Create time-series modeling of concept strength and trends
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- [ ] Develop focus shift detection algorithms
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- [ ] Validate semantic distillation accuracy
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### Week 2: Persona Layer and Graph Construction
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#### Day 1-3: Knowledge Graph Construction
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- [ ] Implement NetworkX-based knowledge graph builder
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- [ ] Create weighted edges based on co-occurrence analysis
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- [ ] Develop centrality measure calculations (PageRank, betweenness)
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- [ ] Build graph persistence and loading mechanisms
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- [ ] Test graph construction from temporal concept data
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#### Day 4-5: Gravity Well Manifold Representation
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- [ ] Implement kernel density estimation for gravity wells
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- [ ] Create manifold distance calculations (1 - cosine similarity)
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- [ ] Build mass calculation based on graph centrality
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- [ ] Develop geometric consistency validation
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- [ ] Test manifold representation stability
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### Week 3: Collective Manifold Construction
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#### Day 1-2: OpenAlex Integration
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- [ ] Implement OpenAlex API client for scientific publications
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- [ ] Create community knowledge graph construction
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- [ ] Build citation network analysis
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- [ ] Develop domain-specific publication filtering
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- [ ] Test API reliability and rate limiting
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#### Day 3-4: Wireframe Manifold Estimation
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- [ ] Implement wireframe grid construction for collective manifold
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- [ ] Create estimation points for manifold approximation
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- [ ] Build interpolation algorithms for smooth surfaces
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- [ ] Develop manifold boundary detection
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- [ ] Validate wireframe geometric properties
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#### Day 5: Cross-Manifold Validation
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- [ ] Implement manifold intersection calculations
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- [ ] Create consistency checks between individual/collective manifolds
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- [ ] Build geometric validation metrics
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- [ ] Develop manifold alignment algorithms
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- [ ] Test cross-manifold operations
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### Week 4: Braiding Engine Implementation
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#### Day 1-2: Individual Resonance (Alpha) Scoring
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- [ ] Implement alpha calculation using gravity well distance
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- [ ] Create graph centrality weighting for concept importance
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- [ ] Build temporal relevance scoring
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- [ ] Develop confidence interval calculations
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- [ ] Test alpha scoring accuracy
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#### Day 3-4: Collective Feasibility (Beta) Scoring
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- [ ] Implement beta calculation using random walk probabilities
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- [ ] Create wireframe support estimation
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- [ ] Build citation network validation
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- [ ] Develop community consensus metrics
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- [ ] Test beta scoring reliability
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#### Day 5: Structural Gate and Final Integration
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- [ ] Implement structural gate function with hallucination filtering
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- [ ] Create braiding parameter optimization
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- [ ] Build final S_braid calculation pipeline
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- [ ] Develop API endpoints for manifold operations
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- [ ] Comprehensive testing of braiding engine
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## Deliverables
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### Code Deliverables
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- [ ] **Episodic Memory Layer**: Hybrid indexing (dense vectors + BM25) with reciprocal rank fusion
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- [ ] **Semantic Memory Layer**: Temporal distillation pipeline with cognitive trajectory analysis
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- [ ] **Persona Memory Layer**: Knowledge graph construction with centrality measures
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- [ ] **Individual Manifold**: Basic gravity well representation and novelty repulsion
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- [ ] **Collective Manifold**: OpenAlex integration for community knowledge
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- [ ] **Braiding Engine**: Structural gate implementation with alpha/beta scoring
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- [ ] Comprehensive test suite (>80% coverage) for manifold operations
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### Documentation Deliverables
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- [ ] API documentation with examples
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- [ ] Architecture diagrams and data flow documentation
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- [ ] Database schema documentation
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- [ ] Deployment and configuration guides
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- [ ] Integration testing procedures
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### Infrastructure Deliverables
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- [ ] Docker containerization setup
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- [ ] Development environment configuration
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- [ ] CI/CD pipeline foundation
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- [ ] Monitoring and logging setup
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- [ ] Database backup and recovery procedures
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## Success Metrics
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- [ ] **Manifold Construction**: Both individual and collective manifolds initialize correctly
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- [ ] **Hybrid Indexing**: Episodic layer achieves >95% retrieval accuracy with <100ms query time
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- [ ] **Cognitive Distillation**: Semantic layer processes temporal trajectories with >90% concept extraction accuracy
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- [ ] **Graph Construction**: Persona layer builds knowledge graphs with proper centrality measures
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- [ ] **Braiding Validation**: Structural gates correctly filter hallucinations (>95% accuracy)
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- [ ] **Mathematical Primitives**: All manifold operations maintain geometric consistency
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- [ ] **API Endpoints**: Manifold operations respond within 500ms
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## Risk Mitigation
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### Technical Risks
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- **Dana Runtime Maturity**: If Dana integration proves difficult, implement fallback agent system
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- **Database Performance**: Monitor query performance and optimize as needed
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- **File System Compatibility**: Test on multiple platforms early
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### Timeline Risks
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- **Complex Integration**: Allocate buffer time for unexpected integration challenges
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- **Dependency Issues**: Use pinned versions and test thoroughly
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- **Learning Curve**: Schedule architecture reviews and pair programming
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## Testing Strategy
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### Unit Testing
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- [ ] Test all core services in isolation
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- [ ] Mock external dependencies (APIs, databases)
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- [ ] Test error conditions and edge cases
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- [ ] Validate configuration loading
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### Integration Testing
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- [ ] Test service-to-service communication
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- [ ] Validate data flow through entire pipelines
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- [ ] Test concurrent operations
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- [ ] Verify resource cleanup
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### Performance Testing
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- [ ] Load test API endpoints
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- [ ] Test document processing at scale
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- [ ] Validate memory usage patterns
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- [ ] Monitor database query performance
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## Parallel Development Opportunities
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While Phase 1 is primarily backend-focused, the following can be started in parallel:
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- **Frontend Architecture**: Set up basic React/Next.js structure
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- **UI Design System**: Begin implementing design tokens and components
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- **API Contract Definition**: Define detailed API specifications
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- **Testing Infrastructure**: Set up testing frameworks and CI/CD
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## Phase Gate Criteria
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Phase 1 is complete when:
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- [ ] **Dual Manifold Architecture**: Both individual and collective manifolds construct and validate correctly
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- [ ] **Three-Layer Memory**: Episodic, semantic, and persona layers operate with >90% accuracy
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- [ ] **Braiding Engine**: Structural gates filter hallucinations with >95% accuracy
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- [ ] **Mathematical Consistency**: All manifold operations maintain geometric properties
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- [ ] **API Contracts**: Manifold operations are documented and stable
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- [ ] **Demonstration**: Team can show cognitive trajectory analysis and optimal suggestion generation
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## Next Steps
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After Phase 1 completion:
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1. Conduct architecture review with full team
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2. Begin Phase 2 UI development with confidence
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3. Schedule regular integration points between frontend/backend
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4. Plan Phase 3 content processing based on Phase 1 learnings</content>
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<parameter name="filePath">docs/plans/project-phases/phase-1-foundation.md |