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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

Planned - Future Enhancements

  • Layer 4: Meta-Learning - Learn from prediction accuracy to tune weights
  • Layer 5: Cross-Project Intelligence - Identify patterns across projects
  • Advanced Analytics - Prediction accuracy tracking and reporting
  • Visualization Tools - Graph causal chains and memory tiers
  • Performance Optimizations - Caching and pre-fetching improvements
  • Video Tutorials - Demonstrating 3-layer brain architecture

[3.0.0] - 2025-10-17 🧠 WAKE INTELLIGENCE BRAIN COMPLETE

Major: Layer 3 (Propagation Engine) Implementation

This release completes the 3-layer Wake Intelligence brain architecture with the addition of Layer 3: Propagation Engine, which predicts WHAT contexts will be needed next.

Added - Layer 3: Propagation Engine (Future - WHAT)

  • PropagationService - Orchestrates prediction workflow (src/domain/services/PropagationService.ts)

    • predictContext() - Calculate composite prediction scores
    • calculateCausalStrength() - Score based on causal chain position
    • estimateNextAccess() - Pattern-based next access time estimation
    • generatePropagationReasons() - Human-readable prediction explanations
    • updateProjectPredictions() - Batch prediction refresh
    • getHighValueContexts() - Retrieve pre-fetch candidates
    • refreshPredictionIfStale() - Lazy prediction refresh

  • Composite Prediction Scoring

    • 40% Temporal: Exponential decay based on last access time
    • 30% Causal: Position in causal chains (roots score higher)
    • 30% Frequency: Logarithmic scaling of access count

  • Domain Model Updates (src/domain/models/ContextSnapshot.ts)

    • PropagationMetadata interface (score, timestamps, reasons)
    • calculatePropagationScore() - Composite scoring algorithm
    • calculateTemporalScore() - Exponential decay scoring
    • calculateFrequencyScore() - Logarithmic frequency scoring
    • updatePropagation() - Immutable propagation updates

  • Database Layer (migrations/0004_add_propagation_engine.sql)

    • prediction_score column - 0.0-1.0 composite score
    • last_predicted column - When prediction was calculated
    • predicted_next_access column - Estimated next access time
    • propagation_reason column - JSON array of prediction reasons
    • 3 new indexes for efficient prediction queries

  • Repository Methods (src/infrastructure/adapters/D1ContextRepository.ts)

    • updatePropagation() - Persist prediction metadata
    • findByPredictionScore() - Query high-value contexts
    • findStalePredictions() - Identify contexts needing re-prediction
    • Updated save() to persist propagation fields
    • Updated deserialization to reconstruct propagation data

  • ContextService Integration (src/domain/services/ContextService.ts)

    • updatePredictions() - Refresh prediction scores for project
    • getHighValueContexts() - Get contexts most likely to be accessed next
    • getPropagationStats() - Analytics on prediction quality and patterns

  • New MCP Tools

    • update_predictions - Refresh prediction scores for a project
    • get_high_value_contexts - Retrieve contexts with high prediction scores
    • get_propagation_stats - View prediction analytics

Changed - Documentation & Branding

  • README.md - Completely rewritten with Wake Intelligence branding

    • Prominent 3-layer brain architecture section
    • Detailed feature breakdown by layer
    • ASCII art visualization of temporal intelligence flow
    • Updated features section with all MCP tools

  • ARCHITECTURE.md - New comprehensive architecture documentation

    • Complete Layer 1, 2, 3 algorithm descriptions
    • Database schema with all migrations
    • Hexagonal architecture explanation
    • Data flow diagrams
    • Design principles and patterns

  • package.json - Updated to v3.0.0

    • Enhanced description emphasizing 3-layer brain
    • Updated keywords (causality-engine, memory-manager, propagation-engine, etc.)

  • MIGRATION.md - New migration guide for repository rename

    • Instructions for updating git remotes
    • CI/CD pipeline updates
    • MCP client configuration updates

Fixed

  • Test files updated to support 12-parameter ContextSnapshot constructor
  • Mock repositories in tests include new propagation methods
  • TypeScript compilation passes with no errors

Database Migrations

  • ✅ Migration 0001: Initial schema
  • ✅ Migration 0002: Layer 1 (Causality Engine)
  • ✅ Migration 0003: Layer 2 (Memory Manager)
  • ✅ Migration 0004: Layer 3 (Propagation Engine)

Deployment

  • Production: semantic-wake-intelligence-mcp.michshat.workers.dev
  • Version ID: 1904cf57-39d2-42e0-b505-dd29ecf84578
  • Database: wake-intelligence (local + remote migrated)

Wake Intelligence Brain - Complete! 🎉

  • ✅ Layer 1 (Past): Causality Engine - WHY contexts were saved
  • ✅ Layer 2 (Present): Memory Manager - HOW relevant contexts are NOW
  • ✅ Layer 3 (Future): Propagation Engine - WHAT will be needed next

Benefits:

  • 🎯 Learn from the past: Understand causal relationships
  • 🎯 Optimize the present: Manage memory intelligently
  • 🎯 Predict the future: Pre-fetch what's needed next
  • 🎯 Observable reasoning: Every decision is explainable
  • 🎯 Deterministic algorithms: No black-box predictions

[2.0.0] - 2025-10-16 🌊 WAKE INTELLIGENCE REBRAND

Major Rebrand: semantic-context-mcp → semantic-wake-intelligence-mcp

This release transforms the project into Wake Intelligence, the Time dimension of the Cormorant Trinity framework (Sound-Space-Time).

Added - Wake Intelligence Features

  • 🐦 Wake Cormorant Mascot - "Meet the Wake Cormorant" documentation
  • 🧠 3-Layer Brain Architecture Documentation
    • Layer 1: Causality Engine (Past) - Action tracking and reasoning
    • Layer 2: Memory Manager (Present) - Context preservation
    • Layer 3: Propagation Engine (Future) - Temporal decay and prediction
  • 📚 Comprehensive Research Documentation
    • WAKE-BRAIN-ARCHITECTURE.md - Complete architectural analysis
    • BRAIN-LAYER-IMPLEMENTATION-GUIDE.md - Step-by-step implementation guide
    • MEET-THE-WAKE-CORMORANT.md - Mascot personality and philosophy
    • REBRANDING-TO-WAKE-INTELLIGENCE.md - Rebranding checklist
  • 🏷️ Trinity Framework Integration
    • Badge: "Part of the Cormorant Trinity"
    • Links to ChirpIQX (Sound) and PerchIQX (Space)
    • Comparison table showing dimensional alignment
  • 🌐 Domain Preparation - wakeiqx.com branding throughout

Changed - Rebranding Updates

  • Package Name: @semanticintent/semantic-context-mcp → @semanticintent/semantic-wake-intelligence-mcp
  • Version: 1.0.0 → 2.0.0 (major version bump for rebrand)
  • Description: Updated to emphasize temporal intelligence and Cormorant Trinity
  • Keywords: Added wake-intelligence, temporal-intelligence, cormorant-trinity, causality-tracking, time-dimension
  • Repository URL: Updated to semantic-wake-intelligence-mcp
  • Wrangler Config: Updated worker name and database name to wake-intelligence
  • README.md: Completely rewritten with Wake Intelligence branding

Documentation Improvements

  • Enhanced architecture documentation with temporal reasoning focus
  • Added comparison to ChirpIQX (7 layers) and PerchIQX (4 layers)
  • Explained why Wake Intelligence has exactly 3 layers (temporal physics)
  • Added research foundation section linking to Trinity framework
  • Updated all internal links and references

[1.0.0] - 2025-10-06

Added

  • Hexagonal Architecture - Domain-Driven Design implementation
  • Comprehensive Testing - 70 unit tests across all layers
  • GitHub Actions CI/CD - Automated testing and quality checks
  • Professional Documentation - Architecture guide with Mermaid diagrams
  • Security Best Practices - Secrets management and security policy
  • Community Files - Contributing guide, Code of Conduct, Issue templates
  • Domain Layer - Pure business logic with ContextSnapshot entity
  • Application Layer - Tool execution and protocol handlers
  • Infrastructure Layer - D1 and Cloudflare AI adapters
  • Presentation Layer - MCP routing
  • Database Migrations - Versioned schema management
  • Semantic Intent Patterns - Reference implementation throughout

Changed

  • Refactored from monolithic 483-line file to clean 74-line composition root
  • 90% code reduction through architectural improvements
  • Improved type safety with TypeScript strict mode

[0.1.0] - Initial Development

Added

  • Basic MCP server implementation
  • Cloudflare Workers integration
  • D1 database connection
  • AI-powered context summarization

The Cormorant Trinity

Wake Intelligence is part of a dimensional intelligence framework:

System Dimension Layers Domain
ChirpIQX Sound (Communication) 7 Fantasy sports breakout analysis
PerchIQX Space (Structure) 4 Database schema intelligence
WakeIQX Time (Memory) 3 AI context management

Research: https://github.com/semanticintent/the-cormorant-trinity

The wake persists. 🐦