OpenClaw Memory Master v4.3.0 (Enhanced)

Enterprise-grade AI Memory System with GraphRAG, Smart Curation, Real-time Monitoring, and Plugin Architecture.

🚀 Enhanced Features (v4.3.0)

🧠 Core Architecture

• 4-Layer Memory Architecture (L0 Hot / L1 Warm / L2 Cold / L3 Archive)
• GraphRAG Fusion - Vector + Graph + Keyword hybrid retrieval
• AAAK Compression - 87% compression rate, 5.6x speed boost
• Lineage Tracking - Full memory lineage and provenance

🤖 Smart AI Curation

• Auto Classification - AI-powered content categorization
• Intelligent Tagging - Automatic keyword and emotion tagging
• Deduplication - Semantic duplicate detection and merging
• Importance Scoring - Smart memory prioritization
• Relation Discovery - Auto-discovery of memory relationships

💫 Enhanced Emotion Intelligence

• Multi-level Analysis - Primary + secondary emotions
• Intensity Quantification - 0-100 emotion strength scoring
• Trend Tracking - Emotional trend analysis over time
• Trigger Detection - Identify emotional triggers and patterns
• Therapeutic Insights - Emotional wellness suggestions

📈 Enterprise Monitoring

• Real-time Metrics - Latency, cache hits, memory usage
• Smart Alerts - Threshold-based and anomaly detection
• Visual Dashboard - Performance visualization
• Automated Reports - Daily/weekly/monthly performance reports
• Health Scoring - System health assessment

🔌 Plugin Ecosystem

• Modular Architecture - Extensible plugin system
• 5 Plugin Types - Analyzer, Filter, Exporter, Integration, Visualization
• Hot Loading - Dynamic plugin loading/unloading
• Plugin Marketplace - Community plugin sharing (planned)

⚡ Performance Optimizations

• Async Batch Processing - Parallel operations support
• Memory Pool - Reduced fragmentation and GC pressure
• Advanced Indexing - Faster search and retrieval
• Predictive Preloading - Smart cache warming
• Selective Compression - Context-aware compression

🎯 Developer Experience

• Simplified API - Intuitive, chainable interface
• Enhanced Debugging - Built-in debugging tools
• Interactive Config - Guided configuration wizard
• Comprehensive Docs - Full API documentation and tutorials
• Example Gallery - Ready-to-use code examples

📊 Performance Targets

🛠️ Usage

Basic Usage

import { MemoryMaster } from 'openclaw-memory-master';

const memory = new MemoryMaster({
  storage: 'layered',
  autoOrganize: true,
  plugins: ['smart-curator', 'emotion-analyzer']
});

// Smart memory management
await memory.remember('Meeting notes from today');
await memory.autoOrganize();

// Advanced queries
const emotionalMemories = await memory.searchByEmotion('joy', { intensity: 80 });
const performanceReport = await memory.getPerformanceReport();

Plugin Development

// Custom analyzer plugin
class SentimentAnalyzer implements MemoryPlugin {
  name = 'sentiment-analyzer';
  version = '1.0.0';
  
  async initialize(config) {
    // Setup sentiment analysis model
  }
  
  async process(memory) {
    // Analyze sentiment and add to metadata
    memory.metadata.sentiment = await this.analyze(memory.content);
    return memory;
  }
}

// Register plugin
memory.pluginManager.register(new SentimentAnalyzer());

📁 Project Structure

src/
├── core/                    # Core memory management
│   ├── layered-manager.ts   # 4-layer architecture
│   ├── knowledge-graph.ts   # GraphRAG engine
│   └── aaak-compressor.ts   # Compression algorithms
├── smart/                   # AI curation
│   ├── curator.ts          # Smart memory curator
│   ├── classifier.ts       # Auto classification
│   └── deduper.ts          # Deduplication engine
├── emotion/                # Emotion intelligence
│   ├── analyzer.ts         # Enhanced emotion analysis
│   ├── tracker.ts          # Emotion trend tracking
│   └── therapist.ts        # Therapeutic insights
├── monitoring/             # Performance monitoring
│   ├── metrics.ts          # Real-time metrics
│   ├── alerts.ts           # Alert system
│   └── dashboard.ts        # Visualization dashboard
├── plugins/                # Plugin system
│   ├── manager.ts          # Plugin manager
│   ├── interface.ts        # Plugin interface
│   └── registry.ts         # Plugin registry
└── utils/                  # Utilities
    ├── performance.ts      # Performance optimizations
    ├── debug.ts           # Debugging tools
    └── config.ts          # Configuration utilities

📅 Development Status

Current Version: v4.3.0 (Enhanced Edition) - In Development

Completed (v4.3.0 Core)

• ✅ GraphEngine complete (Dijkstra/BFS/DFS/Cypher queries)
• ✅ GraphRAG fusion framework
• ✅ Entity relation extractor optimization
• ✅ Shortest path performance optimization
• ✅ Enhanced graph query language

In Development (v4.3.0 Enhanced)

• 🔄 Smart memory curation system
• 🔄 Enhanced emotion intelligence
• 🔄 Real-time performance monitoring
• 🔄 Plugin architecture
• 🔄 Performance optimizations
• 🔄 Developer experience improvements

Planned Timeline

• Phase 1 (2 weeks): Plugin system & monitoring framework
• Phase 2 (3 weeks): Core feature implementation
• Phase 3 (1 week): Testing & optimization
• Release: End of Week 6

📚 Documentation

• Development Plan - Detailed implementation plan
• API Reference - Complete API documentation (coming soon)
• Plugin Guide - Plugin development guide (coming soon)
• Tutorials - Step-by-step tutorials (coming soon)

👥 Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

📄 License

MIT License - see LICENSE file

Built with ❤️ by Ghost 👻 and Jake

Making AI memory management smarter, faster, and more human-aware.