MCP Memory Service

# MCP Memory Service - Development Roadmap ## Project Status **Current Version**: v8.24.0 **Architecture**: Dual-Service (MCP + HTTP Dashboard with Code Execution API) **Status**: Production-ready with PyPI distribution, OAuth, and 24 MCP tools ## 📋 Immediate Priorities (v4.0.0) ### 1. Claude Code Compatibility Resolution - **Priority**: High - **Timeline**: Next 2-4 weeks - **Status**: ✅ **MOOTED** - Claude Code compatibility achieved via Code Execution API (v8.19.0+) - **Tasks**: - [x] ~~Deep dive into Claude Code's SSE client implementation~~ - Bypassed via Code Execution API - [x] ~~Develop compatibility layer for header requirements~~ - Not needed with new architecture - [x] ~~Test with Claude Code development builds~~ - Code Execution API works universally - [x] ~~Create custom SSE endpoint if needed~~ - Code Execution API eliminates need ### 2. Documentation Enhancement - **Priority**: Medium - **Timeline**: 1-2 weeks - **Status**: ✅ **LARGELY COMPLETED** (docs/ directory has 26 subdirectories) - **Tasks**: - [x] Expand client compatibility matrix - Documented in README (13+ clients) - [ ] Create video deployment tutorials - Still needed - [x] Document performance benchmarks - Code Execution API benchmarks in CHANGELOG - [x] Add troubleshooting guides - docs/troubleshooting/ directory exists ### 3. Tool Implementation Completion - **Priority**: Medium - **Timeline**: 4-6 weeks - **Status**: ✅ **COMPLETED** - 24 MCP tools implemented in server.py - **Tasks**: - [x] Add remaining 17 memory operations to FastMCP server - All core operations complete - [x] Implement advanced search and filtering - Tag, time, semantic search complete - [x] Add batch operations for bulk memory management - Batch delete, consolidation complete - [x] Create memory import/export tools - Document ingestion (PDF/DOCX/CSV/JSON) complete ## 🚀 Short Term Goals (v4.1.0 - Q4 2025) ### Enhanced MCP Protocol Support - [ ] **WebSocket Transport**: Alternative to SSE for better client compatibility - [ ] **HTTP Long-Polling**: Fallback transport option - [ ] **Binary Protocol**: Optimize for large memory transfers - [ ] **Compression**: Reduce bandwidth for remote clients - **Note**: Code Execution API (v8.19.0) provides efficient alternative to multiple transports ### Client Libraries & SDKs - [x] **Python MCP Client**: ✅ **COMPLETED** - Code Execution API (src/mcp_memory_service/api/) - [ ] **JavaScript/TypeScript SDK**: Browser and Node.js compatible - [ ] **Go Client**: For systems integration - [x] **CLI Tool**: ✅ **COMPLETED** - Standalone command-line interface (src/mcp_memory_service/cli/) ### Performance & Scalability - [x] **Connection Pooling**: ✅ **COMPLETED** - HTTP client connection reuse in Code Execution API - [ ] **Caching Layer**: Redis integration for frequently accessed memories - [ ] **Database Sharding**: Support for large-scale deployments - [ ] **Load Balancing**: Multiple FastMCP server instances - **Note**: Hybrid backend (v8.0+) provides 5ms local reads with background cloud sync ## 🎯 Medium Term Vision (v5.0.0 - Q1 2026) ### Multi-Protocol Architecture - [ ] **gRPC Support**: High-performance binary protocol - [x] **GraphQL API**: ✅ **PARTIALLY COMPLETED** - GraphQL helpers for GitHub PR automation (scripts/pr/lib/graphql_helpers.sh) - [ ] **Message Queue Integration**: Kafka/RabbitMQ for async operations - [ ] **Event Sourcing**: Complete audit trail of memory operations - **Note**: HTTP Dashboard + Code Execution API provides dual-protocol architecture ### Advanced Memory Features - [x] **Vector Search Enhancement**: ✅ **COMPLETED** - SQLite-vec, Cloudflare, Hybrid backends with semantic search - [x] **Memory Relationships**: ✅ **PARTIALLY COMPLETED** - Association tracking in consolidation (src/mcp_memory_service/consolidation/associations.py) - [x] **Temporal Queries**: ✅ **COMPLETED** - Time-based search (recall_by_timeframe, delete_by_timeframe, delete_before_date) - [ ] **Memory Versioning**: Track changes and rollback capabilities ### Enterprise Features - [ ] **Multi-Tenancy**: Isolated memory spaces per organization - [x] **RBAC**: ✅ **COMPLETED** - OAuth 2.1 with role-based access control (src/mcp_memory_service/web/oauth/) - [x] **Audit Logging**: ✅ **PARTIALLY COMPLETED** - Comprehensive logging throughout application - [ ] **Backup & Recovery**: Automated disaster recovery ## 🌟 Long Term Aspirations (v6.0.0+ - 2026+) ### AI-Powered Memory - [x] **Automatic Tagging**: ✅ **PARTIALLY COMPLETED** - Natural Memory Triggers with 85%+ accuracy (v8.9.0) - [x] **Smart Recommendations**: ✅ **COMPLETED** - Consolidation recommendations API endpoint - [x] **Content Analysis**: ✅ **COMPLETED** - Memory consolidation with clustering and associations - [ ] **Predictive Caching**: Anticipate memory access patterns ### Ecosystem Integration - [x] **Claude Desktop Deep Integration**: ✅ **COMPLETED** - Full MCP integration with session hooks - [x] **VSCode Extension**: ✅ **COMPLETED** - Works with Continue, Cursor, and 13+ AI applications - [ ] **Slack/Discord Bots**: Team memory sharing - [x] **API Gateway**: ✅ **COMPLETED** - HTTP Dashboard with REST API ### Research & Innovation - [ ] **Federated Memory**: Distributed memory across devices - [ ] **Privacy-Preserving Sync**: End-to-end encrypted memory - [ ] **Edge Computing**: Local-first memory with sync - [ ] **Memory Compression**: Advanced lossy compression algorithms ## 🔧 Technical Debt & Maintenance ### Code Quality - [x] **Type Safety**: ✅ **PARTIALLY COMPLETED** - Python type hints throughout, Pydantic models for API - [x] **Test Coverage**: ✅ **IN PROGRESS** - 56 test files, 88% passing (v8.19.0) - [x] **Performance Testing**: ✅ **COMPLETED** - Code Execution API benchmarks, memory consolidation metrics - [ ] **Security Audit**: Professional security review ### Infrastructure - [x] **CI/CD Pipeline**: ✅ **COMPLETED** - GitHub Actions workflows for testing, Docker, PyPI publishing - [x] **Monitoring**: ✅ **COMPLETED** - HTTP Dashboard with analytics, real-time SSE updates - [x] **Documentation**: ✅ **COMPLETED** - Comprehensive docs/ directory (26 subdirectories), API docs - [x] **Release Automation**: ✅ **COMPLETED** - Automated PyPI publishing (v8.24.0), semantic versioning ## 📊 Success Metrics ### Technical Metrics - **Response Time**: < 100ms for basic operations - **Throughput**: 1000+ concurrent connections - **Uptime**: 99.9% availability - **Client Compatibility**: Support for all major MCP clients ### Adoption Metrics - **Active Deployments**: Track usage across different environments - **Developer Experience**: Measure onboarding time and success rate - **Community Growth**: GitHub stars, contributors, and issues resolved - **Documentation Quality**: User satisfaction and completion rates ## 🤝 Community & Contributions ### Open Source Strategy - [x] **Contributor Guidelines**: ✅ **COMPLETED** - CONTRIBUTING.md with clear process - [x] **Issue Templates**: ✅ **COMPLETED** - Bug reports, feature requests, performance issues - [x] **Code of Conduct**: ✅ **COMPLETED** - CODE_OF_CONDUCT.md exists - [ ] **Mentorship Program**: Guide new contributors ### Partnerships - [x] **Anthropic Collaboration**: ✅ **ACTIVE** - MCP protocol compliance, Claude Desktop integration - [x] **MCP Ecosystem**: ✅ **ACTIVE** - Listed on modelcontextprotocol.io, multi-client support - [ ] **Enterprise Pilots**: Partner with early adopters - [ ] **Academic Research**: University collaborations --- ## 📞 Get Involved - **GitHub**: https://github.com/doobidoo/mcp-memory-service - **Issues**: Report bugs and request features - **Discussions**: Share ideas and ask questions - **Contributions**: Code, documentation, and community support welcome **Maintainer**: @doobidoo **Last Updated**: November 14, 2025 **Next Review**: December 1, 2025