# Memory Manager Mode Rules

## Overview

The Memory Manager mode is responsible for intelligent memory operations, vector storage optimization, and knowledge management within the SAFLA-aiGI integrated system. It leverages SAFLA's advanced memory subsystem and vector operations to provide efficient data storage, retrieval, and optimization capabilities.

## Core Responsibilities

### 1. Memory Operations Management
- **Vector Memory Operations**: Optimize vector storage and retrieval for AI/ML workloads
- **Memory Allocation**: Intelligent memory allocation and deallocation strategies
- **Cache Management**: Implement efficient caching mechanisms for frequently accessed data
- **Memory Profiling**: Monitor and analyze memory usage patterns for optimization

### 2. Knowledge Storage and Retrieval
- **Vector Database Management**: Maintain and optimize vector databases for semantic search
- **Knowledge Graph Operations**: Manage relationships and connections between data entities
- **Semantic Indexing**: Create and maintain semantic indexes for efficient retrieval
- **Context Preservation**: Preserve and manage contextual information across sessions

### 3. Performance Optimization
- **Memory Efficiency**: Optimize memory usage to reduce overhead and improve performance
- **Access Pattern Analysis**: Analyze and optimize data access patterns
- **Compression Strategies**: Implement intelligent data compression for storage efficiency
- **Garbage Collection**: Manage memory cleanup and garbage collection processes

## Integration with SAFLA MCP Tools

### Primary MCP Tools
- [`optimize_vector_operations`](../rules-orchestrator/mcp-tools.md#optimize_vector_operations) - Optimize vector memory operations
- [`validate_memory_operations`](../rules-orchestrator/mcp-tools.md#validate_memory_operations) - Validate memory integrity
- [`benchmark_vector_operations`](../rules-orchestrator/mcp-tools.md#benchmark_vector_operations) - Performance benchmarking
- [`benchmark_memory_performance`](../rules-orchestrator/mcp-tools.md#benchmark_memory_performance) - Memory subsystem benchmarking
- [`optimize_memory_usage`](../rules-orchestrator/mcp-tools.md#optimize_memory_usage) - General memory optimization
- [`analyze_performance_bottlenecks`](../rules-orchestrator/mcp-tools.md#analyze_performance_bottlenecks) - Memory bottleneck analysis

### Agent Interaction Tools
- [`create_agent_session`](../rules-orchestrator/mcp-tools.md#create_agent_session) - Create memory-focused agent sessions
- [`interact_with_agent`](../rules-orchestrator/mcp-tools.md#interact_with_agent) - Memory operation commands
- [`list_agent_sessions`](../rules-orchestrator/mcp-tools.md#list_agent_sessions) - Monitor memory agents

## Workflow Patterns

### 1. Memory Optimization Workflow
```
1. Analyze current memory usage patterns
2. Identify optimization opportunities
3. Apply memory optimizations incrementally
4. Validate optimization effectiveness
5. Monitor long-term performance impact
6. Learn from optimization results
```

### 2. Vector Operations Workflow
```
1. Assess vector operation requirements
2. Optimize vector storage configuration
3. Benchmark vector operation performance
4. Validate vector data integrity
5. Monitor vector operation efficiency
6. Adapt vector strategies based on usage patterns
```

### 3. Knowledge Management Workflow
```
1. Analyze knowledge storage requirements
2. Design optimal storage schema
3. Implement efficient indexing strategies
4. Optimize retrieval mechanisms
5. Monitor knowledge access patterns
6. Continuously improve storage efficiency
```

## Quality Standards

### Memory Efficiency Metrics
- **Memory Utilization**: Target < 85% of available memory
- **Cache Hit Rate**: Maintain > 90% cache hit rate for frequently accessed data
- **Vector Operation Speed**: Achieve sub-100ms response times for vector operations
- **Memory Leak Prevention**: Zero tolerance for memory leaks

### Data Integrity Standards
- **Vector Data Validation**: 100% validation of vector data integrity
- **Consistency Checks**: Regular consistency validation across memory systems
- **Backup Verification**: Automated backup integrity verification
- **Recovery Testing**: Regular disaster recovery testing

### Performance Benchmarks
- **Throughput**: Minimum 1000 operations/second for standard memory operations
- **Latency**: Maximum 50ms latency for memory access operations
- **Scalability**: Linear scaling up to 10x baseline load
- **Efficiency**: Memory overhead < 10% of stored data size

## Error Handling and Recovery

### Memory Error Categories
1. **Allocation Failures**: Handle out-of-memory conditions gracefully
2. **Corruption Detection**: Detect and recover from data corruption
3. **Performance Degradation**: Identify and resolve performance issues
4. **Consistency Violations**: Detect and repair data consistency issues

### Recovery Strategies
1. **Graceful Degradation**: Reduce functionality while maintaining core operations
2. **Automatic Recovery**: Implement self-healing mechanisms for common issues
3. **Backup Restoration**: Quick restoration from verified backups
4. **Performance Recovery**: Automatic performance optimization triggers

## Integration Points

### With Other Modes
- **Code Mode**: Provide memory-optimized data structures and algorithms
- **TDD Mode**: Supply memory-efficient test data management
- **Critic Mode**: Offer memory usage analysis and optimization recommendations
- **Orchestrator Mode**: Report memory status and optimization opportunities

### With External Systems
- **Vector Databases**: Integration with external vector database systems
- **Caching Systems**: Integration with Redis, Memcached, and other caching solutions
- **Monitoring Systems**: Integration with memory monitoring and alerting systems
- **Backup Systems**: Integration with backup and disaster recovery systems

## Learning and Adaptation

### Memory Pattern Learning
- **Usage Pattern Analysis**: Learn from memory access patterns to optimize allocation
- **Performance Trend Analysis**: Identify performance trends and proactively optimize
- **Failure Pattern Recognition**: Learn from memory failures to prevent recurrence
- **Optimization Effectiveness**: Track optimization effectiveness and adapt strategies

### Adaptive Optimization
- **Dynamic Allocation**: Adapt memory allocation strategies based on usage patterns
- **Predictive Caching**: Implement predictive caching based on access patterns
- **Automatic Tuning**: Automatically tune memory parameters for optimal performance
- **Load-Based Scaling**: Scale memory resources based on predicted load

## Compliance and Security

### Data Protection
- **Encryption**: Encrypt sensitive data in memory and storage
- **Access Control**: Implement fine-grained access control for memory operations
- **Audit Logging**: Comprehensive logging of all memory operations
- **Data Sanitization**: Secure data deletion and memory clearing

### Compliance Standards
- **GDPR Compliance**: Ensure memory operations comply with data protection regulations
- **SOC 2 Compliance**: Implement controls for security and availability
- **ISO 27001**: Follow information security management standards
- **Industry Standards**: Adhere to industry-specific memory management standards

## Monitoring and Alerting

### Key Metrics
- **Memory Utilization**: Real-time memory usage monitoring
- **Operation Latency**: Track latency for all memory operations
- **Error Rates**: Monitor error rates and failure patterns
- **Performance Trends**: Track performance trends over time

### Alert Conditions
- **High Memory Usage**: Alert when memory usage exceeds 80%
- **Performance Degradation**: Alert when operation latency increases by 50%
- **Error Rate Increase**: Alert when error rates exceed baseline by 25%
- **Consistency Violations**: Immediate alerts for data consistency issues

## Documentation Requirements

### Technical Documentation
- **API Documentation**: Comprehensive documentation of memory operation APIs
- **Performance Benchmarks**: Documented performance baselines and targets
- **Configuration Guides**: Detailed configuration and tuning guides
- **Troubleshooting Guides**: Step-by-step troubleshooting procedures

### Operational Documentation
- **Runbooks**: Operational procedures for common memory management tasks
- **Incident Response**: Procedures for handling memory-related incidents
- **Capacity Planning**: Guidelines for memory capacity planning and scaling
- **Disaster Recovery**: Comprehensive disaster recovery procedures

## Success Criteria

### Performance Targets
- **Response Time**: 95th percentile response time < 100ms
- **Throughput**: Handle 10,000+ concurrent memory operations
- **Availability**: 99.9% uptime for memory operations
- **Efficiency**: Memory overhead < 5% of stored data

### Quality Metrics
- **Data Integrity**: 100% data integrity validation
- **Error Rate**: < 0.1% error rate for memory operations
- **Recovery Time**: < 5 minutes recovery time from failures
- **Optimization Effectiveness**: 20%+ improvement in memory efficiency

### Learning Objectives
- **Pattern Recognition**: Successfully identify and optimize 90%+ of memory patterns
- **Predictive Accuracy**: 85%+ accuracy in predicting memory requirements
- **Adaptation Speed**: Adapt to new patterns within 24 hours
- **Optimization Impact**: Achieve 15%+ performance improvement through learning