Claude Code Memory Server

# Changelog All notable changes to the Claude Code Memory Server project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). ## [Unreleased] ### Planned - Advanced memory analytics and visualization - Automatic pattern detection and learning - Claude Code workflow integration - Memory effectiveness tracking - Performance optimization ## [0.1.0] - 2025-06-28 ### Added - Initial project setup with Python packaging (pyproject.toml) - Comprehensive Neo4j-based MCP memory server implementation - Complete data models with Pydantic validation - 8 core MCP tools for memory management: - `store_memory` - Store memories with context and metadata - `get_memory` - Retrieve specific memories by ID - `search_memories` - Advanced search with filtering - `update_memory` - Modify existing memories - `delete_memory` - Remove memories and relationships - `create_relationship` - Link memories with typed relationships - `get_related_memories` - Find connected memories - `get_memory_statistics` - Database analytics - Advanced relationship system with 7 categories and 35 relationship types: - **Causal**: CAUSES, TRIGGERS, LEADS_TO, PREVENTS, BREAKS - **Solution**: SOLVES, ADDRESSES, ALTERNATIVE_TO, IMPROVES, REPLACES - **Context**: OCCURS_IN, APPLIES_TO, WORKS_WITH, REQUIRES, USED_IN - **Learning**: BUILDS_ON, CONTRADICTS, CONFIRMS, GENERALIZES, SPECIALIZES - **Similarity**: SIMILAR_TO, VARIANT_OF, RELATED_TO, ANALOGY_TO, OPPOSITE_OF - **Workflow**: FOLLOWS, DEPENDS_ON, ENABLES, BLOCKS, PARALLEL_TO - **Quality**: EFFECTIVE_FOR, INEFFECTIVE_FOR, PREFERRED_OVER, DEPRECATED_BY, VALIDATED_BY - Neo4j database connection and management with connection pooling - Comprehensive schema documentation and API reference - GitHub project management with issues, labels, and milestones - Complete implementation plan with 7-phase roadmap - Test suite foundation with model validation tests - Docker-ready configuration with environment variable support ### Documentation - README.md with complete project overview and usage instructions - Schema documentation with all node types and relationships - Implementation plan with detailed phase breakdown - API documentation for all MCP tools - Development setup and configuration guide ### Infrastructure - GitHub repository with proper issue tracking - Git workflow with semantic commit messages - Automated schema initialization - Performance optimization with indexes and constraints - Error handling and logging throughout ### Dependencies - mcp>=1.0.0 - Model Context Protocol SDK - neo4j>=5.0.0 - Neo4j Python driver - pydantic>=2.0.0 - Data validation and parsing - python-dotenv>=1.0.0 - Environment variable management ## Project Milestones ### Phase 1: Foundation Setup ✅ COMPLETED (2025-06-28) - **Issues Closed**: #1, #2, #3 - **Commits**: 2 major commits with 12 files added - **Status**: All core infrastructure and basic MCP server operational ### Phase 2: Core Memory Operations 🔄 IN PROGRESS - **Target**: January 2025 - **Focus**: CRUD operations, entity management, basic relationships - **Issues**: #12-25 (to be created) ### Phase 3: Advanced Relationship System 📋 PLANNED - **Target**: February 2025 - **Focus**: All 35 relationship types, weighted properties, intelligence ### Phase 4: Claude Code Integration 📋 PLANNED - **Target**: February-March 2025 - **Focus**: Development context capture, workflow integration ### Phase 5: Advanced Intelligence 📋 PLANNED - **Target**: March-April 2025 - **Focus**: Pattern recognition, automatic relationship detection ### Phase 6: Advanced Query & Analytics 📋 PLANNED - **Target**: April-May 2025 - **Focus**: Complex queries, effectiveness tracking, visualization ### Phase 7: Integration & Optimization 📋 PLANNED - **Target**: May 2025 - **Focus**: Production readiness, performance optimization, deep integration ## Contributors - **Claude Code** - Initial implementation and architecture design - **ViralV00d00** - Project management and GitHub setup ## License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.