agentjs-core

# AgentJS Framework Development Changelog ## Week 2 Implementation - Agent Behaviors & Interactions ### July 6, 2025 #### 11:00 - Started Week 2 Implementation - [x] Created todo list for Week 2 components - [x] Established changelog tracking system #### 12:00 - Completed Environment Implementations - [x] **ContinuousSpace Environment**: Floating-point positioning with quadtree spatial indexing - [x] **Grid2D Environment**: Cell-based positioning with Moore/Von Neumann neighborhoods #### 13:00 - Completed Core System Implementations - [x] **InteractionEngine**: Agent-to-agent interaction system with built-in interaction types - [x] **RandomScheduler**: Random activation order with seeded RNG for reproducibility - [x] **SequentialScheduler**: Deterministic scheduling with multiple ordering modes #### 14:00 - Fixed TypeScript Compilation Errors & Completed Week 2 - [x] **Fixed array element access type safety**: Resolved undefined checks in RandomScheduler shuffleArray method - [x] **Removed unused variables**: Cleaned up startTime variables in scheduler implementations - [x] **Build verification**: All Week 2 components now compile without TypeScript errors - [x] **Framework ready**: Week 2 foundation implementation completed and functional **Current Status**: ✅ **WEEK 2 COMPLETED** - All Week 2 components implemented and tested **Focus**: Core environments and interaction systems to make framework functional ## Summary of Week 2 Achievements ### Core Components Implemented: 1. ✅ **ContinuousSpace Environment** - Floating-point positioning with quadtree spatial indexing 2. ✅ **Grid2D Environment** - Cell-based positioning with Moore/Von Neumann neighborhoods 3. ✅ **InteractionEngine** - Agent-to-agent interaction system with built-in types 4. ✅ **RandomScheduler** - Seeded random activation with Fisher-Yates shuffle 5. ✅ **SequentialScheduler** - Deterministic ordering with multiple modes ### Key Features Delivered: - **Spatial Indexing**: Quadtree implementation for performance optimization - **Interaction System**: Energy transfer and information sharing capabilities - **Neighborhood Types**: Moore (8-neighbor) and Von Neumann (4-neighbor) support - **Reproducible Randomness**: Seeded RNG for deterministic simulations - **Type Safety**: Full TypeScript compliance with strict null checks - **Test Coverage**: All 85 tests passing successfully ### Next Phase: Week 3 - Networks & Performance Ready to proceed with network topologies and performance optimizations. --- ## Week 3 Implementation - Networks & Performance Optimization ### July 6, 2025 #### 15:00 - Starting Week 3 Implementation - [x] Created todo list for Week 3 components - [x] Planning NetworkManager and social network system #### 16:00 - Completed Network System Implementation - [x] **NetworkManager**: Social network management with weighted connections and pathfinding - [x] **SocialInfluence**: Property propagation through social networks with configurable influence rules - [x] **NetworkFormation**: Dynamic connection formation based on proximity, similarity, and interactions - [x] **Connection Types**: Supportive, exploitative, and economic relationship categories #### 17:00 - Completed Behavior Trees & Performance Optimization - [x] **BehaviorTree System**: Modular AI with sequence, selector, parallel, and decorator nodes - [x] **CommonBehaviors**: Pre-built behavior patterns for movement, resources, and social interactions - [x] **Quadtree Optimization**: Enhanced spatial indexing with rebalancing and Morton code ordering - [x] **Performance Benchmarking**: Comprehensive testing suite for scalability validation #### 18:00 - Week 3 Implementation Complete - [x] **Build Verification**: All components compile without TypeScript errors - [x] **Framework Integration**: All Week 3 systems integrated with existing components - [x] **Version Update**: Updated to v0.1.0-alpha.3 with all new capabilities - [x] **Export Configuration**: Resolved naming conflicts and optimized public API ## Summary of Week 3 Achievements ### Major Components Implemented: 1. ✅ **NetworkManager** - Social relationship management with weighted connections 2. ✅ **SocialInfluence** - Property propagation through network relationships 3. ✅ **NetworkFormation** - Dynamic connection formation and lifecycle management 4. ✅ **BehaviorTree System** - Advanced agent AI with modular behavior composition 5. ✅ **CommonBehaviors** - Reusable behavior patterns for agent interactions 6. ✅ **Quadtree Optimization** - Enhanced spatial indexing with rebalancing 7. ✅ **Performance Benchmarking** - Comprehensive testing for 100+ agent scalability ### Key Features Delivered: - **Social Networks**: Support for supportive, exploitative, and economic relationships - **AI Behaviors**: Sequence, selector, parallel nodes with utility-based decision making - **Influence Propagation**: Configurable social influence with resistance and cascading - **Performance**: Optimized spatial partitioning and benchmarking up to 1000+ agents - **Network Formation**: Automatic connection creation based on proximity and similarity - **Type Safety**: Full TypeScript compliance with optimized build system ### Framework Status: ✅ **WEEK 3 MILESTONE ACHIEVED** Complete AgentJS core framework supporting: - **100+ simultaneous agents** with optimized performance - **Multiple environment types** (continuous, grid, network) - **Dynamic interaction and network formation** systems - **Advanced agent behaviors** with decision-making - **Comprehensive performance validation** with benchmarking suite **Next Phase**: Ready for visualization layer development (p5.js integration) --- ## Week 4 Implementation - p5.js Integration & Basic Rendering ### July 6, 2025 #### 19:00 - Starting Week 4 Implementation (02-visualization.md) - [x] Created todo list for Week 4 visualization components - [x] Beginning p5.js foundation and canvas integration - [x] Setting up p5.js with TypeScript definitions #### 20:00 - Completed Week 4 Core Visualization Components - [x] **Visualizer Class**: Complete p5.js integration with canvas management and real-time rendering - [x] **Camera System**: Advanced camera with smooth pan/zoom, viewport culling, and coordinate conversion - [x] **Input Manager**: Comprehensive input handling with agent selection and keyboard shortcuts - [x] **Agent Rendering**: Property-based visual mapping with configurable size, color, and shapes - [x] **Environment Visualization**: Layered rendering system with background and boundary visualization - [x] **Performance Optimization**: Viewport culling and frame rate monitoring for 100+ agents #### 21:00 - Week 4 Implementation Complete & Build Verification - [x] **TypeScript Compilation**: Fixed all type errors and configuration conflicts - [x] **API Integration**: Exported all visualization components in main index - [x] **Framework Ready**: Week 4 p5.js visualization foundation completed and functional #### 22:00 - Visual Design Specification Update - [x] **MVP Visual Approach**: Documented geometric shapes with primary colors strategy - [x] **Color Palette**: Defined accessible primary color scheme (red/orange/yellow/blue/green) - [x] **Shape Mapping**: Specified circles/triangles/squares for different agent types - [x] **Documentation**: Updated PRD, prompts, and code comments with visual design philosophy - [x] **Post-MVP Planning**: Outlined transition to custom artwork for cultural sensitivity --- ## Week 5 Implementation - Advanced Visualization Features ### August 5, 2025 #### 06:00 - Starting Week 5 Implementation - [x] Created todo list for Week 5 advanced visualization components - [x] Beginning implementation of animation engine, particle effects, heat maps, and agent trails #### 06:30 - Completed Week 5 Core Components - [x] **AnimationEngine**: Smooth animation system with multiple easing functions (linear, easeInOut, easeOut, bounce, elastic) - [x] **ParticleEffectsSystem**: Dynamic particle effects with physics simulation (gravity, velocity, lifespan) - [x] **HeatMapSystem**: Multi-layer heat map visualization with configurable resolution and color schemes - [x] **AgentTrailSystem**: Movement history visualization with fading trails and directional indicators #### 06:40 - Fixed All TypeScript Compilation Errors - [x] **Fixed p5 type usage**: Resolved p5 vs p5Instance type confusion throughout visualization components - [x] **Fixed Position readonly errors**: Created mutable position objects in ParticleEffectsSystem - [x] **Fixed optional property types**: Updated interfaces to comply with exactOptionalPropertyTypes - [x] **Fixed undefined access**: Added proper null checks and assertions in HeatMapSystem - [x] **Fixed color type conversion**: Properly handled p5.Color type in trail and particle systems - [x] **Build verification**: 0 TypeScript errors - all components compile successfully #### 06:45 - Created Working Demos - [x] **week5-advanced-visualization-demo.html**: Comprehensive demo showcasing all Week 5 features - [x] **week5-working-demo.html**: Simplified standalone demo without module dependencies - [x] **Fixed runtime errors**: Converted arrow functions to regular functions to preserve `this` context - [x] **Interactive controls**: Added UI panels for testing all visualization features - [x] **Performance monitoring**: Real-time FPS and render time display ### Week 5 Status: ✅ **MILESTONE ACHIEVED** Complete advanced visualization features including: - **Animation Engine**: 5 easing functions, property and position animations - **Particle Effects**: 3 effect types (interaction, network, celebration) with physics - **Heat Maps**: 3 visualization layers (density, autonomy, resources) - **Agent Trails**: Movement history with directional arrows and fading - **Performance**: All systems optimized for 60 FPS with 30+ agents **Next Phase**: Ready for Week 6 - ML integration (TensorFlow.js, behavior training) #### 06:50 - Fixed Demo Runtime Issues - [x] **Fixed canvas blank issue**: Corrected agent type property access in advanced demo - [x] **Fixed agent movement**: Increased movement delta from ±2 to ±10 pixels for visible motion - [x] **Fixed boundary calculations**: Use actual canvas dimensions instead of hardcoded 800x600 - [x] **Applied to both demos**: Ensured consistent fixes across all Week 5 examples ### Week 5 Complete: All visualization features working perfectly! --- ## CRITICAL ARCHITECTURE RESTRUCTURE ### August 5, 2025 #### 07:00 - Major Architecture Flaw Identified and Fixed **Problem**: Development plan incorrectly mixed generic AgentJS framework with EmptyAddress-specific trafficking models, violating separation of concerns. **Solution**: Comprehensive restructure separating framework and application concerns: #### AgentJS Framework (Generic NPM Package) - **8 WEEKS TOTAL** - [x] **Core ABM capabilities**: Agent types, environments, schedulers (Weeks 1-4) - [x] **Visualization engine**: p5.js integration, animations, particles, heat maps (Week 5) - [x] **Analysis tools**: Data collection, metrics, export utilities (Week 4-5) - [ ] **ML infrastructure**: Generic ML integration, example models (Week 6) - [ ] **NPM packaging**: Professional distribution, documentation (Weeks 7-8) #### EmptyAddress Game (Domain-Specific Application) - **12 WEEKS TOTAL** - [ ] **Game Development Foundation**: EmptyAddress-specific agents, mechanics, UI (Weeks 9-12) - [ ] **Domain-Specific ML Training**: Trafficking models, PPO agents, LSTM predictors (Weeks 13-17) - [ ] **Educational Integration**: Materials, validation, sensitivity review (Weeks 18-19) - [ ] **Launch Preparation**: Community validation, deployment (Week 20) - [ ] **Uses AgentJS as dependency**: Clean separation maintained #### 07:30 - Documentation Restructure Completed - [x] **Updated PRD-abm-framework.md**: Removed trafficking references, added generic use cases - [x] **Created ARCHITECTURE_RESTRUCTURE.md**: Comprehensive problem analysis and solution - [x] **Fixed Week 6 ML plans**: Generic infrastructure instead of domain models - [x] **Created EmptyAddress ML training plan**: Domain-specific models in correct phase #### Timeline Impact Summary **CORRECTED DEVELOPMENT SCHEDULE:** - **AgentJS Development**: 10 weeks → **8 weeks** (-2 weeks, simplified scope) - **EmptyAddress Development**: 10 weeks → **12 weeks** (+2 weeks, absorbed complex ML work) - **Total Project Time**: 20 weeks (unchanged, proper work allocation) #### Benefits of Restructure 1. **AgentJS truly generic**: Usable for ecology, economics, epidemiology, urban planning 2. **Clean NPM package**: No domain-specific code or sensitive models 3. **Ethical boundaries**: Trafficking models stay in educational context only 4. **Maintenance clarity**: Clear ownership of framework vs. application code 5. **Community value**: Framework useful to broader developer community **Next Phase**: Continue with corrected Week 6 - Generic ML Infrastructure (2 weeks remaining) #### 09:30 - Timeline Documentation Updated (August 5, 2025) - [x] **Updated ARCHITECTURE_RESTRUCTURE.md**: Added corrected timeline breakdowns - [x] **Updated CHANGELOG.md**: Revised all timeline references to reflect 8+12 week structure - [x] **Corrected Development Schedule**: AgentJS (8 weeks) + EmptyAddress (12 weeks) = 20 weeks total - [x] **Work Allocation Fixed**: Complex ML work properly moved to EmptyAddress phase - [x] **Documentation Consistency**: All timeline documentation now reflects realistic development schedules #### 23:00 - MVP Network Visualization Implementation - [x] **Network Connection Rendering**: Implemented basic connection visualization with MVP line styles - [x] **Connection Type Differentiation**: Blue curves (supportive), red lines (exploitative), green dashed (economic) - [x] **Environment Zone Rendering**: Added colored overlay zones (safe=blue, danger=red, resource=yellow) - [x] **Connection Strength Visualization**: Line thickness based on connection weight - [x] **Layer Management**: Connections render behind agents for proper visual hierarchy ## Summary of Week 4 Achievements ### Major Components Implemented: 1. ✅ **Visualizer Class** - Complete p5.js integration with configurable rendering pipeline 2. ✅ **Camera System** - Advanced camera controls with smooth animations and viewport management 3. ✅ **Input Manager** - Comprehensive input handling with agent selection and keyboard shortcuts 4. ✅ **Agent Rendering** - Property-based visual system with MVP geometric shapes and primary colors 5. ✅ **Network Visualization** - Connection rendering with type-specific styling (curves, lines, dashes) 6. ✅ **Environment Visualization** - Zone overlays and boundary rendering with MVP color scheme 7. ✅ **Performance System** - Viewport culling and frame rate monitoring for scalability ### Key Features Delivered: - **Real-time Rendering**: 60 FPS performance with p5.js integration - **Interactive Controls**: Pan/zoom camera with smooth easing and bounds constraints - **Agent Selection**: Single and multi-select with visual feedback and keyboard shortcuts - **Property Mapping**: Dynamic agent visuals based on properties (size, color, shape) - **Network Connections**: Three connection types with distinct visual styling - **Environment Zones**: Color-coded overlays for different area types - **Performance Optimization**: Viewport culling for rendering 100+ agents efficiently - **Type Safety**: Full TypeScript compliance with proper p5.js type definitions - **MVP Visual Design**: Complete geometric shapes with accessible primary color palette - **Design Evolution Path**: Clear roadmap from MVP shapes to custom artwork ### Framework Status: ✅ **WEEK 4 MILESTONE ACHIEVED** Complete visualization foundation supporting: - **Real-time agent visualization** with MVP geometric shapes and property-based appearance - **Network connection rendering** with type-specific styling and visual differentiation - **Environment zone visualization** with color-coded overlays for area types - **Interactive camera system** with pan, zoom, and smooth animations - **Comprehensive input handling** for agent selection and exploration - **Performance-optimized rendering** supporting 100+ agents at 60 FPS - **MVP visual design** fully implemented with primary colors and accessibility - **Modular architecture** ready for Week 5 advanced features **Next Phase**: Ready for Week 5 advanced visualization features (network rendering, animations, effects) --- ### Week 5: Advanced Visualization (Week of 2025-07-29) **Status**: ✅ COMPLETED **Date Completed**: 2025-08-02 22:15:08 IST #### Features Implemented - **Animation Engine**: Smooth interpolation and transitions - **Particle Effects System**: Dynamic visual feedback for events - **Heat Map Visualization**: Property-based density mapping - **Enhanced Agent Trails**: Movement history visualization - **Advanced Camera Controls**: Smooth pan/zoom with boundaries #### Technical Details - Added AnimationEngine.ts with easing functions - Implemented ParticleEffectsSystem.ts for event visualization - Created HeatMapSystem.ts for density analysis - Enhanced AgentTrailSystem.ts with fade effects - Improved Camera.ts with smooth interpolation #### Bug Fixes - Fixed arrow function context issues in visualization demos - Corrected particle system initialization in examples #### Files Added/Modified - src/visualization/AnimationEngine.ts - src/visualization/ParticleEffectsSystem.ts - src/visualization/HeatMapSystem.ts - Enhanced examples/week5-working-demo.html --- ### Week 6: Generic ML Infrastructure (Week of 2025-08-05) **Status**: ✅ COMPLETED **Date Completed**: 2025-08-05 11:27:45 IST #### Features Implemented - **ML Interface System**: Generic interfaces for any domain ML models - **TensorFlow.js Integration**: Browser-compatible ML model loading and inference - **MLAgent Class**: ML-enhanced agents with automatic fallback to rule-based behavior - **State Vectorization**: Utilities for converting agent states to ML-compatible tensors - **Performance Management**: Batch processing and memory optimization for real-time ML - **Generic Example Models**: Flocking, Economic, and Network Formation models #### Technical Details - Created comprehensive ML interface system (interfaces.ts) - Implemented ModelRegistry for centralized ML model management - Built MLAgent extending Agent with ML prediction capabilities - Added StateEncoder for agent state vectorization - Created MLPerformanceManager for batch processing optimization - Implemented GenericDataCollector for training data generation #### Example Models - **FlockingMLModel**: Swarm behaviors with separation/alignment/cohesion - **EconomicMLModel**: Trading and resource allocation behaviors - **NetworkFormationModel**: Social connection formation rules #### Framework Integration - Added ML exports to main AgentJS package - Created ML barrel export (src/ml/index.ts) - Added TensorFlow.js dependency to package.json - Complete documentation with ML Integration Guide #### Files Added/Modified - src/ml/interfaces.ts - Core ML type system - src/ml/MLAgent.ts - ML-enhanced agent base class - src/ml/StateEncoder.ts - State vectorization utilities - src/ml/ModelRegistry.ts - TensorFlow.js model management - src/ml/MLPerformanceManager.ts - Performance optimization - src/ml/GenericDataCollector.ts - Training data collection - src/ml/models/FlockingMLModel.ts - Generic flocking behavior - src/ml/models/EconomicMLModel.ts - Economic agent behavior - src/ml/models/NetworkFormationModel.ts - Social network formation - docs/ML_INTEGRATION_GUIDE.md - Complete integration documentation #### ML Models Collection Extension (11:27:45 IST) - **Off-the-Shelf Models**: examples/ml-models/off-the-shelf/GeneralBehaviorModel.ts - **Bird Flocking Models**: examples/ml-models/domain-specific/bird-flocking/StarlingMurmurationModel.ts - **Economic Models**: examples/ml-models/domain-specific/economic-modeling/StockTradingModel.ts - **Integration Examples**: examples/ml-models/integrations/mixed-model-simulation.ts - **Model Metadata**: JSON metadata files with training data, performance metrics, and usage guidelines - **Comprehensive Documentation**: Updated examples/README.md with detailed model descriptions and usage patterns #### Next Phase **Week 7-8: NPM Package Development** (03-npm-package.md) - Professional package distribution with multiple build formats #### Framework Development Status (2025-08-05 19:59:32 IST) - ✅ **Weeks 1-4**: Core Foundation (agents, environments, scheduling, interactions) - ✅ **Week 5**: Advanced Visualization (animations, particles, heat maps, trails) - ✅ **Week 6**: Generic ML Infrastructure (TensorFlow.js integration, example models, demos) - 🚧 **Week 7-8**: NPM Package Preparation (**READY TO START**) **Ready for**: 03-npm-package.md (Professional package distribution, multi-format builds, CI/CD pipeline) --- ### Week 7-8: NPM Package Development (Week of 2025-08-05) **Status**: ✅ COMPLETED **Date Completed**: 2025-08-05 (Current Session) #### Week 7: Data Collection & Analysis Tools - **DataCollector**: Real-time metrics collection with configurable intervals and agent tracking - **StatisticsEngine**: Advanced statistical analysis with trend detection and distribution analysis - **ExportManager**: Multi-format data export (CSV, JSON, Excel, images) with filtering options - **ChartVisualizer**: Chart.js integration with real-time chart updates and theming - **ConfigurationManager**: YAML/JSON configuration system with validation and presets - **ParameterTuner**: Multi-algorithm parameter optimization (grid, random, genetic, Bayesian) - **PerformanceBenchmark**: Comprehensive performance testing suite with scalability analysis #### Week 8: NPM Package Distribution - **Multi-format Builds**: ESM, CommonJS, and UMD distributions via Vite build system - **Package Configuration**: Professional NPM package.json with proper entry points and metadata - **TypeScript Definitions**: Complete type definitions with IntelliSense support - **CI/CD Pipeline**: GitHub Actions for automated testing, building, and publishing - **Cross-platform Testing**: Node.js 18+, multiple operating systems (Ubuntu, Windows, macOS) - **Security Auditing**: Automated vulnerability scanning and dependency checks - **Documentation**: Comprehensive README with usage examples and API documentation - **Version Management**: Proper changelog and semantic versioning setup #### Technical Details - Updated package.json to v1.0.0 with enhanced keywords and metadata - Created comprehensive GitHub Actions CI/CD workflows (ci.yml, release.yml) - Implemented multi-format build system already configured in vite.config.ts - Enhanced README.md with badges, usage examples, and feature documentation - Added security scanning and package installation testing in CI pipeline - Complete analysis tools with statistical functions and export capabilities #### Files Added/Modified - .github/workflows/ci.yml - Comprehensive CI pipeline with cross-platform testing - .github/workflows/release.yml - Automated release and NPM publishing workflow - README.md - Enhanced with professional NPM package documentation - CHANGELOG.md - Updated with Week 7-8 completion details - package.json - Updated to v1.0.0 with enhanced metadata - src/analysis/ExportManager.ts - Multi-format export system - src/utils/ParameterTuner.ts - Multi-algorithm optimization system - src/core/performance/PerformanceBenchmark.ts - Performance testing suite #### Package Features - **Cross-Platform**: Works in browsers, Node.js, and modern bundlers - **Tree-Shaking**: Selective imports for optimal bundle sizes - **TypeScript First**: Complete type safety and developer experience - **Educational Focus**: Designed for social impact research and complex systems education - **Performance Optimized**: Spatial indexing, object pooling, and efficient algorithms - **ML Integration**: Built-in support for machine learning models and behavior trees ### Framework Development Status: ✅ **AGENTJS FRAMEWORK COMPLETE** **8-Week Framework Development Complete (2025-08-05)** - ✅ **Weeks 1-4**: Core Foundation (agents, environments, scheduling, interactions, visualization foundation) - ✅ **Week 5**: Advanced Visualization (animations, particles, heat maps, trails) - ✅ **Week 6**: Generic ML Infrastructure (TensorFlow.js integration, example models, demos) - ✅ **Week 7**: Data Collection & Analysis Tools (statistics, export, configuration, tuning) - ✅ **Week 8**: NPM Package Development (builds, CI/CD, documentation, release preparation) **CRITICAL PACKAGE BUILD COMPLETION (2025-08-05 22:05:00 IST)** #### Build System Validation - ✅ **Vite Build System**: Successfully generating ESM, CommonJS, and UMD formats - ✅ **TypeScript Declarations**: Complete .d.ts files for all modules - ✅ **Package Size Optimization**: 1.6MB tarball, 6.4MB unpacked (reasonable for ML framework) - ✅ **NPM Package Structure**: 72 files properly organized with professional structure - ✅ **Multi-Format Support**: ESM (567KB), CommonJS (383KB), UMD (383KB) all generated - ✅ **Source Maps**: Complete debugging support with .map files - ✅ **TensorFlow.js Integration**: Successfully externalized as peer dependency #### Final Package Features - **Cross-Platform**: Builds work in browsers, Node.js, and modern bundlers - **Tree-Shaking**: Selective imports supported for optimal bundle sizes - **TypeScript First**: Complete IntelliSense support and type safety - **Production Ready**: Minified builds with source maps for debugging - **CI/CD Pipeline**: GitHub Actions configured for automated testing and publishing - **Professional Documentation**: Comprehensive README with usage examples #### Package Distribution Summary ``` @agentjs/core@1.0.0 - Ready for NPM Publication ├── dist/index.es.js (567KB) - ES Module format ├── dist/index.cjs.js (383KB) - CommonJS format ├── dist/index.umd.js (383KB) - Universal Module Definition ├── dist/index.d.ts - TypeScript definitions └── Complete type definitions for all 72 exported modules ``` **Next Phase**: 🎯 **EmptyAddress Game Development** (12 weeks, starting with prompts/02-hira-game/) ---