# MCP Memory Service - Development Roadmap

## Project Status

**Current Version**: v4.0.0-alpha.1  
**Architecture**: Dual-Service (FastMCP + HTTP Dashboard)  
**Status**: Production-ready with known Claude Code compatibility limitation

## 📋 Immediate Priorities (v4.0.0)

### 1. Claude Code Compatibility Resolution
- **Priority**: High
- **Timeline**: Next 2-4 weeks
- **Tasks**:
  - [ ] Deep dive into Claude Code's SSE client implementation
  - [ ] Develop compatibility layer for header requirements
  - [ ] Test with Claude Code development builds
  - [ ] Create custom SSE endpoint if needed

### 2. Documentation Enhancement
- **Priority**: Medium
- **Timeline**: 1-2 weeks
- **Tasks**:
  - [ ] Expand client compatibility matrix
  - [ ] Create video deployment tutorials
  - [ ] Document performance benchmarks
  - [ ] Add troubleshooting guides

### 3. Tool Implementation Completion
- **Priority**: Medium
- **Timeline**: 4-6 weeks
- **Tasks**:
  - [ ] Add remaining 17 memory operations to FastMCP server
  - [ ] Implement advanced search and filtering
  - [ ] Add batch operations for bulk memory management
  - [ ] Create memory import/export tools

## 🚀 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

### Client Libraries & SDKs
- [ ] **Python MCP Client**: Simplified Python library for memory operations
- [ ] **JavaScript/TypeScript SDK**: Browser and Node.js compatible
- [ ] **Go Client**: For systems integration
- [ ] **CLI Tool**: Standalone command-line interface

### Performance & Scalability
- [ ] **Connection Pooling**: Optimize for multiple concurrent clients
- [ ] **Caching Layer**: Redis integration for frequently accessed memories
- [ ] **Database Sharding**: Support for large-scale deployments
- [ ] **Load Balancing**: Multiple FastMCP server instances

## 🎯 Medium Term Vision (v5.0.0 - Q1 2026)

### Multi-Protocol Architecture
- [ ] **gRPC Support**: High-performance binary protocol
- [ ] **GraphQL API**: Flexible query interface
- [ ] **Message Queue Integration**: Kafka/RabbitMQ for async operations
- [ ] **Event Sourcing**: Complete audit trail of memory operations

### Advanced Memory Features
- [ ] **Vector Search Enhancement**: Advanced semantic similarity
- [ ] **Memory Relationships**: Graph-based memory connections
- [ ] **Temporal Queries**: Time-based memory retrieval patterns
- [ ] **Memory Versioning**: Track changes and rollback capabilities

### Enterprise Features
- [ ] **Multi-Tenancy**: Isolated memory spaces per organization
- [ ] **RBAC**: Role-based access control
- [ ] **Audit Logging**: Comprehensive operation tracking
- [ ] **Backup & Recovery**: Automated disaster recovery

## 🌟 Long Term Aspirations (v6.0.0+ - 2026+)

### AI-Powered Memory
- [ ] **Automatic Tagging**: ML-based memory categorization
- [ ] **Smart Recommendations**: Suggest related memories
- [ ] **Content Analysis**: Extract entities and relationships
- [ ] **Predictive Caching**: Anticipate memory access patterns

### Ecosystem Integration
- [ ] **Claude Desktop Deep Integration**: Native memory sidebar
- [ ] **VSCode Extension**: Code-aware memory integration
- [ ] **Slack/Discord Bots**: Team memory sharing
- [ ] **API Gateway**: Centralized memory service

### 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
- [ ] **Type Safety**: Complete TypeScript/mypy coverage
- [ ] **Test Coverage**: 95%+ code coverage
- [ ] **Performance Testing**: Automated benchmark suite
- [ ] **Security Audit**: Professional security review

### Infrastructure
- [ ] **CI/CD Pipeline**: Automated testing and deployment
- [ ] **Monitoring**: Comprehensive observability stack
- [ ] **Documentation**: API docs with interactive examples
- [ ] **Release Automation**: Semantic versioning and changelogs

## 📊 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
- [ ] **Contributor Guidelines**: Clear contribution process
- [ ] **Issue Templates**: Structured bug reports and feature requests
- [ ] **Code of Conduct**: Welcoming community environment
- [ ] **Mentorship Program**: Guide new contributors

### Partnerships
- [ ] **Anthropic Collaboration**: Direct integration opportunities
- [ ] **MCP Ecosystem**: Collaborate with other MCP server authors
- [ ] **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**: August 3, 2025  
**Next Review**: September 1, 2025