Knowledge Graph Memory Server

# MCP Server Optimization Tasks ## 1. Schema Enhancements ### 1.1 Entity Table Extensions - [ ] Add `created_at` TIMESTAMP field for temporal tracking - [ ] Add `last_updated` TIMESTAMP field for change tracking - [ ] Add `confidence_score` FLOAT field (0.0-1.0) to track reliability of observations - [ ] Add `context_source` TEXT field to track where information was learned - [ ] Add `metadata` JSON field for flexible attribute storage ### 1.2 Infrastructure-Specific Schema - [ ] Create `cloud_resources` table with fields: - resource_id (PRIMARY KEY) - resource_type (aws_instance, aws_vpc, etc) - region - account_id - metadata (JSON) - entity_id (FOREIGN KEY to entities) ### 1.3 Temporal Relationship Enhancement - [ ] Add to relations table: - created_at TIMESTAMP - valid_from TIMESTAMP - valid_until TIMESTAMP - confidence_score FLOAT - context_source TEXT ### 1.4 Knowledge Categories - [ ] Add `knowledge_category` table: - category_id (PRIMARY KEY) - name (work, personal, technical, etc) - priority (1-5) - retention_period (in days) ## 2. Performance Optimizations ### 2.1 Database Optimizations - [ ] Add compound indices for frequent query patterns: - (entity_type, created_at) - (entity_type, confidence_score) - (from_entity, relation_type) - [ ] Implement table partitioning by knowledge category - [ ] Add materialized views for common queries ### 2.2 Connection Management - [ ] Implement connection pooling with configurable: - Pool size - Connection timeout - Idle timeout - [ ] Add connection retry logic with exponential backoff ### 2.3 Query Optimization - [ ] Implement batch processing for all operations - [ ] Add prepared statement caching - [ ] Implement query result caching with TTL ## 3. Cloud-Specific Features ### 3.1 AWS Integration - [ ] Add AWS resource tracking: - Automatic resource relationship mapping - Cost tracking integration - Resource state history - [ ] Implement AWS tagging synchronization ### 3.2 IaC Integration - [ ] Add Terraform state tracking: - State file parsing - Resource dependency mapping - Change history tracking - [ ] Add Ansible playbook results tracking ## 4. Context Enhancement Features ### 4.1 Conversation Context - [ ] Add conversation tracking: - Conversation ID - Timestamp - Topic classification - Key points extraction - [ ] Implement relevance scoring for retrieval ### 4.2 Technical Context - [ ] Add code snippet storage: - Language detection - Syntax highlighting - Version tracking - [ ] Implement infrastructure pattern recognition ### 4.3 Time-Aware Features - [ ] Add temporal query support: - Point-in-time knowledge retrieval - Changes over time tracking - Future state predictions ## 5. Code Quality Improvements ### 5.1 Error Handling - [ ] Implement detailed error categories: - ValidationError - DatabaseError - ConnectionError - StateError - [ ] Add error recovery strategies ### 5.2 Monitoring - [ ] Add performance metrics: - Query timing - Cache hit rates - Memory usage - Connection pool stats - [ ] Implement health checks ### 5.3 Testing - [ ] Add comprehensive test suite: - Unit tests - Integration tests - Performance benchmarks - [ ] Implement automatic test data generation ## Priority Order: 1. Schema Enhancements (1.1, 1.2) 2. Performance Optimizations (2.1, 2.2) 3. Cloud-Specific Features (3.1) 4. Context Enhancement Features (4.1) 5. Code Quality Improvements (5.1, 5.2)