MemoryGraph

# MemoryGraph - Complete Implementation Plan This document outlines the comprehensive 7-phase implementation plan for MemoryGraph Neo4j MCP Memory Server with GitHub project management integration. ## Project Overview **Goal**: Create a Neo4j-based MCP memory server for Claude Code with intelligent relationship tracking, enabling persistent knowledge across development sessions. **Repository**: https://github.com/gregorydickson/memory-graph **Timeline**: ~22 weeks total (revised from initial 15-20 week estimate) **Methodology**: GitHub Issues tracking with milestone-based phases **Current Status**: Phase 2 complete, Phase 2.5 (technical debt) in progress --- ## Phase 0: Project Management Setup ✅ COMPLETED ### 0.1 Git Repository Initialization ✅ - [x] Initialize git repository in `/home/viralvoodoo/projects/mcp/memory` - [x] Create initial README.md with project overview - [x] Set up .gitignore for Python/Node.js projects - [x] Create initial commit with project structure ### 0.2 GitHub Repository & Issues Setup ✅ - [x] Create GitHub repository for the project - [x] Set up GitHub Issues with labels: - `phase-1` through `phase-7` for project phases - `bug`, `enhancement`, `documentation`, `question` - `priority-high`, `priority-medium`, `priority-low` - `mcp-core`, `neo4j`, `relationships`, `claude-integration` - [x] Create milestone for each phase with target dates - [x] Set up GitHub Projects board for kanban-style tracking ### 0.3 Documentation Structure ✅ - [x] Create `/docs` folder with architecture overview - [x] API documentation template - [x] Development workflow guide - [x] Relationship schema documentation --- ## Phase 1: Foundation Setup ✅ COMPLETED **Timeline**: Weeks 1-3 | **Status**: ✅ COMPLETED ### 1.1 Project Structure ✅ (Issues #1-4) - [x] **Issue #1**: Create Python project with pyproject.toml ✅ CLOSED - [x] **Issue #2**: Set up MCP SDK dependencies and Neo4j driver ✅ CLOSED - [x] **Issue #3**: Configure development environment with Docker Neo4j ✅ CLOSED - [x] **Issue #4**: Create basic project structure and documentation ✅ CLOSED ### 1.2 Core Neo4j Schema Design ✅ (Issues #5-7) - [x] **Issue #5**: Design and document node types schema ✅ CLOSED - [x] **Issue #6**: Create Neo4j indexes and constraints ✅ CLOSED - [x] **Issue #7**: Write schema migration scripts ✅ CLOSED ### 1.3 MCP Server Boilerplate ✅ (Issues #8-11) - [x] **Issue #8**: Implement MCP server initialization ✅ CLOSED - [x] **Issue #9**: Add Neo4j connection management ✅ CLOSED - [x] **Issue #10**: Create error handling and logging system ✅ CLOSED - [x] **Issue #11**: Set up configuration management ✅ CLOSED **Deliverables Completed**: - ✅ Complete Python project with pyproject.toml - ✅ MCP server with 8 core tools - ✅ Neo4j schema with 35 relationship types - ✅ Comprehensive documentation - ✅ Test suite foundation --- ## Phase 2: Core Memory Operations ✅ COMPLETED **Timeline**: Weeks 4-6 | **Completed**: November 2024 ### 2.1 Basic CRUD Operations (Issues #12-16) ✅ - [x] **Issue #12**: Implement `store_memory` tool (server.py:356-391) - [x] **Issue #13**: Implement `get_memory` tool with relationships (server.py:393-423) - [x] **Issue #14**: Implement `update_memory` tool (server.py:470-512) - [x] **Issue #15**: Implement `delete_memory` with cleanup (server.py:514-533) - [x] **Issue #16**: Implement `search_memories` with full-text search (server.py:425-468) ### 2.2 Entity Management (Issues #17-20) ✅ - [x] **Issue #17**: Implement `create_entities` tool (integrated in store_memory) - [x] **Issue #18**: Implement entity deletion with relationship cleanup (integrated in delete_memory) - [x] **Issue #19**: Implement observation management tools (part of memory context) - [x] **Issue #20**: Add entity validation and error handling (models.py validation) ### 2.3 Basic Relationship Operations (Issues #21-25) ✅ - [x] **Issue #21**: Implement `create_relationship` tool (server.py:535-564) - [x] **Issue #22**: Implement `get_related_memories` tool (server.py:566-599) - [x] **Issue #23**: Add relationship validation and constraints (models.py + database.py) - [x] **Issue #24**: Implement relationship deletion and cleanup (cascade delete in schema) - [x] **Issue #25**: Create relationship analytics tools (server.py:601-627 get_memory_statistics) **Deliverables Completed**: - ✅ Core memory CRUD operations (all 8 MCP tools functional) - ✅ Entity management system (integrated into memory operations) - ✅ Basic relationship functionality (create, traverse, query) - ⚠️ Comprehensive testing suite (partial - only test_models.py exists) - ⚠️ Performance optimization (needs async refactor) --- ## Phase 2.5: Technical Debt Resolution 🔄 IN PROGRESS **Timeline**: Week 7 | **Target**: December 2024 **Priority**: HIGH - Must complete before Phase 3 This phase addresses critical architectural concerns identified in the architecture review. These items must be resolved to ensure production readiness and maintainability before advancing to Phase 3. ### 2.5.1 Async/Sync Architecture Fix (Priority: CRITICAL) **Impact**: Performance bottlenecks under load, blocking event loop **Location**: `src/claude_memory/database.py` - [ ] Convert `Neo4jConnection` class to use async driver methods - [ ] Update `__init__` to configure async driver (database.py:24-36) - [ ] Create `execute_write_query_async()` method using async session - [ ] Create `execute_read_query_async()` method using async session - [ ] Update `verify_connection()` to async (database.py:38-48) - [ ] Update `close()` to async (database.py:50-56) - [ ] Convert `MemoryDatabase` methods to async - [ ] Update `initialize_schema()` to properly async (database.py:58-154) - [ ] Convert `store_memory()` to async (database.py:156-254) - [ ] Convert `get_memory()` to async (database.py:256-301) - [ ] Convert `search_memories()` to async (database.py:303-363) - [ ] Convert `update_memory()` to async (database.py:365-399) - [ ] Convert `delete_memory()` to async (database.py:401-434) - [ ] Convert `create_relationship()` to async (database.py:436-493) - [ ] Convert `get_related_memories()` to async (database.py:495-568) - [ ] Convert `get_statistics()` to async (database.py:570-617) - [ ] Update server.py to use await on all database calls - [ ] Update `_handle_store_memory()` (server.py:356-391) - [ ] Update `_handle_get_memory()` (server.py:393-423) - [ ] Update `_handle_search_memories()` (server.py:425-468) - [ ] Update `_handle_update_memory()` (server.py:470-512) - [ ] Update `_handle_delete_memory()` (server.py:514-533) - [ ] Update `_handle_create_relationship()` (server.py:535-564) - [ ] Update `_handle_get_related_memories()` (server.py:566-599) - [ ] Update `_handle_get_memory_statistics()` (server.py:601-627) - [ ] Test async implementation - [ ] Verify all handlers work with async database calls - [ ] Benchmark query performance improvement - [ ] Test concurrent request handling - [ ] Validate connection pool behavior under load ### 2.5.2 Comprehensive Test Coverage (Priority: HIGH) **Impact**: Quality risk, regression prevention **Target**: 80% code coverage before Phase 3 - [ ] Create `tests/test_database.py` (15 tests minimum) - [ ] Test connection initialization and configuration - [ ] Test schema initialization and index creation - [ ] Test store_memory with various memory types - [ ] Test get_memory with existing and non-existent IDs - [ ] Test search_memories with filters and pagination - [ ] Test update_memory field modifications - [ ] Test delete_memory and cascade cleanup - [ ] Test create_relationship validation - [ ] Test get_related_memories depth traversal - [ ] Test relationship type filtering - [ ] Test connection failure handling - [ ] Test query timeout behavior - [ ] Test transaction rollback on errors - [ ] Test concurrent write operations - [ ] Test statistics calculation accuracy - [ ] Create `tests/test_server.py` (12 tests minimum) - [ ] Test MCP server initialization - [ ] Test tool registration and discovery - [ ] Test store_memory handler with valid input - [ ] Test store_memory handler with invalid input - [ ] Test get_memory handler success and failure cases - [ ] Test search_memories handler with various filters - [ ] Test update_memory handler validation - [ ] Test delete_memory handler cleanup - [ ] Test create_relationship handler validation - [ ] Test get_related_memories handler traversal - [ ] Test get_memory_statistics handler output - [ ] Test error handling and logging - [ ] Create `tests/test_relationships.py` (10 tests minimum) - [ ] Test relationship creation between memories - [ ] Test relationship type validation - [ ] Test relationship property assignment - [ ] Test bidirectional relationship queries - [ ] Test relationship strength calculation - [ ] Test relationship confidence updates - [ ] Test graph traversal depth limiting - [ ] Test relationship type filtering in queries - [ ] Test cascade delete of relationships - [ ] Test relationship metadata extraction - [ ] Create `tests/test_integration.py` (8 tests minimum) - [ ] Test end-to-end memory storage and retrieval - [ ] Test memory lifecycle (create, update, delete) - [ ] Test relationship graph building - [ ] Test search with relationship traversal - [ ] Test statistics after multiple operations - [ ] Test concurrent client operations - [ ] Test database reconnection handling - [ ] Test full workflow simulation - [ ] Set up test infrastructure - [ ] Add pytest-asyncio for async test support - [ ] Add pytest-cov for coverage reporting - [ ] Create test fixtures for Neo4j test database - [ ] Add docker-compose.test.yml for isolated test DB - [ ] Configure test database cleanup between tests - [ ] Add coverage reporting to CI/CD pipeline - [ ] Set minimum coverage threshold to 80% ### 2.5.3 Custom Exception Hierarchy (Priority: MEDIUM) **Impact**: Better error handling and debugging **Location**: `src/claude_memory/models.py` - [ ] Design exception hierarchy - [ ] Create base `MemoryError(Exception)` class - [ ] Create `MemoryNotFoundError(MemoryError)` for missing memories - [ ] Create `RelationshipError(MemoryError)` for relationship issues - [ ] Create `ValidationError(MemoryError)` for data validation failures - [ ] Create `DatabaseConnectionError(MemoryError)` for connection issues - [ ] Create `SchemaError(MemoryError)` for schema-related issues - [ ] Update database.py to use custom exceptions - [ ] Replace generic exceptions in store_memory() - [ ] Replace generic exceptions in get_memory() - [ ] Replace generic exceptions in search_memories() - [ ] Replace generic exceptions in update_memory() - [ ] Replace generic exceptions in delete_memory() - [ ] Replace generic exceptions in create_relationship() - [ ] Replace generic exceptions in get_related_memories() - [ ] Add proper exception documentation in docstrings - [ ] Update server.py error handling - [ ] Catch specific exceptions in handlers - [ ] Map exceptions to appropriate MCP error codes - [ ] Add detailed error messages for debugging - [ ] Log exceptions with proper context - [ ] Return user-friendly error messages ### 2.5.4 Bug Fixes (Priority: HIGH) **Impact**: Data integrity and query accuracy - [ ] Fix relationship metadata extraction bug (database.py:495-568) - [ ] Update Cypher query to return `type(r)` as rel_type - [ ] Update query to return `properties(r)` as rel_props - [ ] Fix relationship object construction with proper type - [ ] Fix relationship properties extraction - [ ] Test relationship metadata accuracy - [ ] Verify strength and confidence values preserved - [ ] Fix memory context serialization (models.py:210-218) - [ ] Handle list types as native Neo4j arrays - [ ] Handle dict types with JSON serialization - [ ] Update context deserialization to reverse transform - [ ] Test context roundtrip (store and retrieve) - [ ] Verify searchability of serialized context - [ ] Add validation for complex nested structures - [ ] Add missing index for full-text search - [ ] Create fulltext index on Memory.content - [ ] Create fulltext index on Memory.summary - [ ] Update search_memories to use fulltext queries - [ ] Test search performance with large datasets - [ ] Verify search result relevance ranking ### 2.5.5 Documentation Updates (Priority: LOW) **Impact**: Developer onboarding and clarity - [ ] Update CHANGELOG.md - [ ] Fix dates (change 2025-06-28 to 2024-11-27) - [ ] Add Phase 2 completion entry - [ ] Document async refactoring changes - [ ] Document bug fixes applied - [ ] Document test coverage improvements - [ ] Create Architecture Decision Records (ADRs) - [ ] Create `docs/adr/001-neo4j-over-postgres.md` - [ ] Create `docs/adr/002-mcp-protocol-choice.md` - [ ] Create `docs/adr/003-async-database-layer.md` - [ ] Create `docs/adr/004-module-organization-strategy.md` - [ ] Create `docs/adr/005-test-strategy.md` - [ ] Update development-setup.md - [ ] Add async/await patterns section - [ ] Add testing guide with examples - [ ] Add debugging guide for common issues - [ ] Add performance benchmarking instructions - [ ] Add contribution guidelines **Deliverables**: - ✅ Async database layer (no event loop blocking) - ✅ 80%+ test coverage across all modules - ✅ Custom exception hierarchy implemented - ✅ Critical bugs fixed (relationship metadata, context serialization) - ✅ Updated documentation reflecting changes **Success Criteria**: - All database operations use async/await - Test suite runs with 80%+ coverage - All tests pass in CI/CD pipeline - Performance benchmarks show improvement - No blocking calls in async handlers --- ## Phase 3: Advanced Relationship System 📋 PLANNED **Timeline**: Weeks 8-9 | **Target**: December 2024 ### 3.1 Relationship Types Implementation (Issues #26-32) - [ ] **Issue #26**: Implement Causal relationships (CAUSES, TRIGGERS, etc.) - [ ] **Issue #27**: Implement Solution relationships (SOLVES, ADDRESSES, etc.) - [ ] **Issue #28**: Implement Context relationships (OCCURS_IN, APPLIES_TO, etc.) - [ ] **Issue #29**: Implement Learning relationships (BUILDS_ON, CONTRADICTS, etc.) - [ ] **Issue #30**: Implement Similarity relationships (SIMILAR_TO, VARIANT_OF, etc.) - [ ] **Issue #31**: Implement Workflow relationships (FOLLOWS, DEPENDS_ON, etc.) - [ ] **Issue #32**: Implement Quality relationships (EFFECTIVE_FOR, PREFERRED_OVER, etc.) ### 3.2 Weighted Relationships (Issues #33-35) - [ ] **Issue #33**: Add relationship properties (strength, confidence, context) - [ ] **Issue #34**: Implement relationship validation and evolution - [ ] **Issue #35**: Create relationship intelligence tools **Deliverables**: - All 35 relationship types implemented - Weighted relationship properties - Relationship evolution algorithms - Advanced graph traversal --- ## Phase 4: Claude Code Integration 📋 PLANNED **Timeline**: Weeks 10-12 | **Target**: January 2025 ### 4.1 Development Context Capture (Issues #36-39) - [ ] **Issue #36**: Implement task context capture - [ ] **Issue #37**: Add command execution tracking - [ ] **Issue #38**: Create error pattern analysis - [ ] **Issue #39**: Build solution effectiveness tracking ### 4.2 Project-Aware Memory (Issues #40-43) - [ ] **Issue #40**: Implement codebase analysis tool - [ ] **Issue #41**: Add file change tracking - [ ] **Issue #42**: Create code pattern identification - [ ] **Issue #43**: Build project dependency mapping ### 4.3 Workflow Memory Tools (Issues #44-45) - [ ] **Issue #44**: Implement workflow tracking and suggestions - [ ] **Issue #45**: Add workflow optimization recommendations **Deliverables**: - Claude Code workflow integration - Automatic context capture - Project-aware memory storage - Development pattern recognition --- ## Phase 5: Advanced Intelligence 📋 PLANNED **Timeline**: Weeks 13-16 | **Target**: February 2025 ### 5.1 Pattern Recognition (Issues #46-49) - [ ] **Issue #46**: Implement automatic code pattern detection - [ ] **Issue #47**: Add similar problem matching - [ ] **Issue #48**: Create error prediction system - [ ] **Issue #49**: Build preventive measure suggestions ### 5.2 Automatic Relationship Detection (Issues #50-53) - [ ] **Issue #50**: Implement temporal pattern analysis - [ ] **Issue #51**: Add co-occurrence pattern detection - [ ] **Issue #52**: Create success correlation analysis - [ ] **Issue #53**: Build failure causation detection ### 5.3 Memory Evolution (Issues #54-55) - [ ] **Issue #54**: Implement memory consolidation and cleanup - [ ] **Issue #55**: Add memory deprecation and promotion systems **Deliverables**: - Intelligent pattern recognition - Automatic relationship discovery - Memory evolution algorithms - Predictive capabilities --- ## Phase 6: Advanced Query & Analytics 📋 PLANNED **Timeline**: Weeks 17-19 | **Target**: March 2025 ### 6.1 Complex Memory Queries (Issues #56-59) - [ ] **Issue #56**: Implement memory graph visualization - [ ] **Issue #57**: Add memory path discovery - [ ] **Issue #58**: Create memory cluster analysis - [ ] **Issue #59**: Build memory statistics dashboard ### 6.2 Contextual Intelligence (Issues #60-63) - [ ] **Issue #60**: Implement solution similarity matching - [ ] **Issue #61**: Add solution effectiveness prediction - [ ] **Issue #62**: Create learning path recommendations - [ ] **Issue #63**: Build knowledge gap identification ### 6.3 Memory Effectiveness Tracking (Issues #64-65) - [ ] **Issue #64**: Implement memory rating and ROI tracking - [ ] **Issue #65**: Add memory optimization algorithms **Deliverables**: - Advanced analytics dashboard - Memory effectiveness metrics - Knowledge gap analysis - Optimization recommendations --- ## Phase 7: Integration & Optimization 📋 PLANNED **Timeline**: Weeks 20-22 | **Target**: April 2025 ### 7.1 Claude Code Deep Integration (Issues #66-69) - [ ] **Issue #66**: Hook into Claude Code task pipeline - [ ] **Issue #67**: Add automatic memory creation - [ ] **Issue #68**: Implement proactive memory suggestions - [ ] **Issue #69**: Create session continuity features ### 7.2 Performance Optimization (Issues #70-73) - [ ] **Issue #70**: Optimize Cypher queries for performance - [ ] **Issue #71**: Implement memory indexing and caching - [ ] **Issue #72**: Add background consolidation processes - [ ] **Issue #73**: Create performance monitoring ### 7.3 Data Export & Import (Issues #74-75) - [ ] **Issue #74**: Implement memory graph export/import - [ ] **Issue #75**: Add collaborative memory sharing features **Deliverables**: - Deep Claude Code integration - Production-ready performance - Data portability features - Monitoring and observability --- ## Git Workflow & Documentation Strategy ### Branching Strategy - `main` - Production-ready code - `develop` - Integration branch for features - `feature/issue-XX` - Individual issue branches - `phase-X` - Phase completion branches ### Commit Strategy - Each issue gets its own feature branch - Commits reference issue numbers: `git commit -m "feat: implement store_memory tool (closes #12)"` - Pull requests for each issue with proper review - Phase completion tagged with semantic versioning ### Progress Tracking - Update GitHub Issues with progress comments - Use GitHub Projects board to track status - Weekly progress reports in repository wiki - Milestone reviews at end of each phase ### Documentation Updates - Update README.md with each major feature - Maintain CHANGELOG.md for version history - Document API changes in /docs folder - Create usage examples and tutorials --- ## Success Metrics ### Technical Metrics - **Memory Retrieval Accuracy** - Relevance of search results - **Development Workflow Acceleration** - Time saved in development tasks - **Pattern Recognition Effectiveness** - Success rate of pattern identification - **Solution Success Rate Improvement** - Better outcomes from memory suggestions - **User Satisfaction** - Feedback on memory system usefulness ### Performance Metrics - **Query Response Time** - Sub-second memory retrieval - **Database Performance** - Efficient Neo4j operations - **Memory Storage Efficiency** - Optimal space utilization - **Relationship Traversal Speed** - Fast graph queries ### Quality Metrics - **Memory Quality Score** - Usefulness and accuracy of stored memories - **Relationship Accuracy** - Correctness of memory connections - **Context Relevance** - Appropriateness of memory suggestions - **Evolution Effectiveness** - Improvement of memory quality over time --- ## Risk Management ### Technical Risks - **Neo4j Performance** - Large graph performance optimization - **MCP Protocol Changes** - Adaptation to protocol updates - **Claude Code Integration** - API changes and compatibility ### Mitigation Strategies - Regular performance testing and optimization - Modular architecture for easy updates - Comprehensive test suite for regression prevention - Documentation for troubleshooting and maintenance --- ## Current Status Summary **✅ Phase 0, 1 & 2 Complete** (Weeks 1-6) - Project setup, GitHub management, core MCP server - Neo4j schema with 35 relationship types - 8 core tools implemented and functional - Basic CRUD and relationship operations working - Comprehensive documentation **🔄 Phase 2.5 In Progress** (Week 7) - **CRITICAL**: Async/sync architecture refactor - **HIGH**: Expand test coverage to 80% - **HIGH**: Fix relationship metadata and context serialization bugs - **MEDIUM**: Implement custom exception hierarchy - **LOW**: Documentation updates and ADRs - **Blockers**: Must complete before Phase 3 can begin **📋 Phase 3-7 Planned** (Weeks 8-20) - Advanced relationship system (Phase 3) - Claude Code deep integration (Phase 4) - Pattern recognition & intelligence (Phase 5) - Advanced query & analytics (Phase 6) - Production optimization (Phase 7) **Architecture Health**: B+ (82/100) - Strong foundations, solid design - Needs async refactor and test coverage - Documentation slightly out of sync with implementation The implementation plan provides a clear path from basic memory operations to advanced AI-powered development assistance, with comprehensive tracking and documentation throughout the process.