# SAFLA Resources for Memory Manager Mode

## Overview

The Memory Manager mode leverages SAFLA's real-time resource system to access live memory metrics, performance data, and optimization recommendations. These resources provide the foundation for intelligent memory management decisions and adaptive optimization strategies.

## Core Memory Resources

### Performance Metrics
```typescript
// Real-time memory performance metrics
const memoryMetrics = await access_mcp_resource({
  server_name: "safla",
  uri: "safla://performance-metrics"
});

// Extract memory-specific metrics
const memoryData = {
  usage: memoryMetrics.memory_usage_percent,
  allocation_rate: memoryMetrics.memory_allocation_rate,
  deallocation_rate: memoryMetrics.memory_deallocation_rate,
  fragmentation: memoryMetrics.memory_fragmentation,
  cache_hit_rate: memoryMetrics.cache_hit_rate,
  vector_operations_per_second: memoryMetrics.vector_ops_per_second,
  gc_frequency: memoryMetrics.garbage_collection_frequency
};
```

### System Status
```typescript
// Current system status with memory focus
const systemStatus = await access_mcp_resource({
  server_name: "safla",
  uri: "safla://status"
});

// Memory-related status information
const memoryStatus = {
  available_memory: systemStatus.memory.available_mb,
  used_memory: systemStatus.memory.used_mb,
  cached_memory: systemStatus.memory.cached_mb,
  buffer_memory: systemStatus.memory.buffer_mb,
  swap_usage: systemStatus.memory.swap_usage_percent,
  memory_pressure: systemStatus.memory.pressure_level,
  oom_events: systemStatus.memory.out_of_memory_events
};
```

### Optimization Recommendations
```typescript
// AI-generated memory optimization recommendations
const optimizations = await access_mcp_resource({
  server_name: "safla",
  uri: "safla://optimization-recommendations"
});

// Filter memory-specific recommendations
const memoryOptimizations = optimizations.filter(opt => 
  opt.category === 'memory' || opt.category === 'vector_operations'
);

// Categorize by priority and risk
const prioritizedOptimizations = {
  critical: memoryOptimizations.filter(opt => opt.priority === 'critical'),
  high: memoryOptimizations.filter(opt => opt.priority === 'high'),
  medium: memoryOptimizations.filter(opt => opt.priority === 'medium'),
  low_risk: memoryOptimizations.filter(opt => opt.risk_level === 'low'),
  safe_to_apply: memoryOptimizations.filter(opt => opt.auto_apply === true)
};
```

## Benchmarking and Performance Resources

### Performance Baselines
```typescript
// Established performance baselines for memory operations
const baselines = await access_mcp_resource({
  server_name: "safla",
  uri: "safla://performance-baselines"
});

// Memory operation baselines
const memoryBaselines = {
  vector_add_latency: baselines.vector_operations.add_latency_ms,
  vector_search_latency: baselines.vector_operations.search_latency_ms,
  memory_allocation_latency: baselines.memory.allocation_latency_us,
  cache_access_latency: baselines.memory.cache_access_latency_ns,
  throughput_baseline: baselines.memory.operations_per_second,
  memory_efficiency: baselines.memory.efficiency_ratio
};
```

### Benchmark Results
```typescript
// Latest benchmark results and trends
const benchmarkResults = await access_mcp_resource({
  server_name: "safla",
  uri: "safla://benchmark-results"
});

// Memory-specific benchmark data
const memoryBenchmarks = {
  vector_operations: benchmarkResults.vector_operations,
  memory_subsystem: benchmarkResults.memory_subsystem,
  cache_performance: benchmarkResults.cache_performance,
  allocation_performance: benchmarkResults.allocation_performance,
  trends: benchmarkResults.performance_trends.memory,
  comparisons: benchmarkResults.baseline_comparisons.memory
};
```

## Agent and Session Resources

### Agent Sessions
```typescript
// Active memory management agent sessions
const agentSessions = await access_mcp_resource({
  server_name: "safla",
  uri: "safla://agent-sessions"
});

// Filter memory-focused agents
const memoryAgents = agentSessions.filter(session => 
  session.agent_type === 'memory' || 
  session.config.focus.includes('memory') ||
  session.config.focus.includes('vector')
);

// Categorize by specialization
const specializedAgents = {
  vector_optimization: memoryAgents.filter(a => a.config.focus === 'vector_optimization'),
  memory_profiling: memoryAgents.filter(a => a.config.focus === 'memory_profiling'),
  cache_management: memoryAgents.filter(a => a.config.focus === 'cache_management'),
  performance_tuning: memoryAgents.filter(a => a.config.focus === 'performance_tuning')
};
```

### Agent Capabilities
```typescript
// Available agent types and their memory-related capabilities
const agentCapabilities = await access_mcp_resource({
  server_name: "safla",
  uri: "safla://agent-capabilities"
});

// Memory agent capabilities
const memoryCapabilities = agentCapabilities.memory || {
  vector_operations: ['optimize', 'benchmark', 'validate'],
  memory_management: ['profile', 'optimize', 'monitor'],
  cache_operations: ['configure', 'optimize', 'analyze'],
  performance_analysis: ['bottleneck_detection', 'trend_analysis', 'prediction']
};
```

## Testing and Quality Resources

### Test Results
```typescript
// Latest memory-related test results
const testResults = await access_mcp_resource({
  server_name: "safla",
  uri: "safla://test-results"
});

// Memory test results
const memoryTestResults = {
  memory_validation: testResults.memory_validation,
  vector_operations: testResults.vector_operations,
  stress_tests: testResults.stress_tests.memory,
  integrity_tests: testResults.integrity_tests.memory,
  performance_tests: testResults.performance_tests.memory,
  regression_tests: testResults.regression_tests.memory
};
```

### Test Coverage
```typescript
// Memory-related test coverage metrics
const testCoverage = await access_mcp_resource({
  server_name: "safla",
  uri: "safla://test-coverage"
});

// Memory test coverage analysis
const memoryCoverage = {
  vector_operations_coverage: testCoverage.vector_operations,
  memory_management_coverage: testCoverage.memory_management,
  cache_operations_coverage: testCoverage.cache_operations,
  error_handling_coverage: testCoverage.error_handling.memory,
  integration_coverage: testCoverage.integration.memory_systems
};
```

## System Logs and Monitoring

### System Logs
```typescript
// Memory-related system logs and events
const systemLogs = await access_mcp_resource({
  server_name: "safla",
  uri: "safla://system-logs"
});

// Filter memory-related log entries
const memoryLogs = systemLogs.filter(log => 
  log.category === 'memory' || 
  log.category === 'vector_operations' ||
  log.tags.includes('memory') ||
  log.tags.includes('performance')
);

// Categorize by severity and type
const categorizedLogs = {
  errors: memoryLogs.filter(log => log.level === 'error'),
  warnings: memoryLogs.filter(log => log.level === 'warning'),
  performance_events: memoryLogs.filter(log => log.type === 'performance'),
  optimization_events: memoryLogs.filter(log => log.type === 'optimization'),
  allocation_events: memoryLogs.filter(log => log.type === 'allocation')
};
```

## Resource Usage Patterns

### Memory Optimization Decision Making
```typescript
async function makeMemoryOptimizationDecision() {
  // Gather comprehensive memory state
  const [metrics, status, recommendations, baselines] = await Promise.all([
    access_mcp_resource({ server_name: "safla", uri: "safla://performance-metrics" }),
    access_mcp_resource({ server_name: "safla", uri: "safla://status" }),
    access_mcp_resource({ server_name: "safla", uri: "safla://optimization-recommendations" }),
    access_mcp_resource({ server_name: "safla", uri: "safla://performance-baselines" })
  ]);

  // Analyze memory pressure and performance
  const memoryPressure = calculateMemoryPressure(metrics, status);
  const performanceGap = calculatePerformanceGap(metrics, baselines);
  
  // Filter applicable optimizations
  const applicableOptimizations = recommendations.filter(opt => 
    opt.category === 'memory' && 
    opt.confidence > 0.8 &&
    opt.expected_impact > memoryPressure.threshold
  );

  return {
    pressure: memoryPressure,
    performance_gap: performanceGap,
    recommended_optimizations: applicableOptimizations
  };
}
```

### Vector Performance Monitoring
```typescript
async function monitorVectorPerformance() {
  // Real-time vector performance monitoring
  const [metrics, benchmarks, agentSessions] = await Promise.all([
    access_mcp_resource({ server_name: "safla", uri: "safla://performance-metrics" }),
    access_mcp_resource({ server_name: "safla", uri: "safla://benchmark-results" }),
    access_mcp_resource({ server_name: "safla", uri: "safla://agent-sessions" })
  ]);

  // Extract vector-specific metrics
  const vectorMetrics = {
    operations_per_second: metrics.vector_ops_per_second,
    average_latency: metrics.vector_operation_latency_ms,
    error_rate: metrics.vector_operation_error_rate,
    queue_depth: metrics.vector_operation_queue_depth,
    cache_hit_rate: metrics.vector_cache_hit_rate
  };

  // Compare with benchmarks
  const performance_comparison = compareWithBaseline(vectorMetrics, benchmarks.vector_operations);
  
  // Check active vector agents
  const vectorAgents = agentSessions.filter(session => 
    session.config.focus === 'vector_optimization'
  );

  return {
    current_metrics: vectorMetrics,
    performance_comparison,
    active_agents: vectorAgents,
    optimization_needed: performance_comparison.degradation > 0.1
  };
}
```

### Memory Health Assessment
```typescript
async function assessMemoryHealth() {
  // Comprehensive memory health assessment
  const [status, metrics, testResults, logs] = await Promise.all([
    access_mcp_resource({ server_name: "safla", uri: "safla://status" }),
    access_mcp_resource({ server_name: "safla", uri: "safla://performance-metrics" }),
    access_mcp_resource({ server_name: "safla", uri: "safla://test-results" }),
    access_mcp_resource({ server_name: "safla", uri: "safla://system-logs" })
  ]);

  // Calculate health scores
  const healthScores = {
    memory_usage: calculateUsageHealth(status.memory, metrics),
    performance: calculatePerformanceHealth(metrics),
    stability: calculateStabilityHealth(testResults.memory_validation),
    error_rate: calculateErrorHealth(logs.filter(l => l.category === 'memory'))
  };

  // Overall health assessment
  const overallHealth = calculateOverallHealth(healthScores);
  
  // Generate recommendations
  const recommendations = generateHealthRecommendations(healthScores, overallHealth);

  return {
    health_scores: healthScores,
    overall_health: overallHealth,
    recommendations,
    requires_attention: overallHealth.score < 0.8
  };
}
```

## Real-Time Monitoring Patterns

### Continuous Memory Monitoring
```typescript
async function continuousMemoryMonitoring() {
  const monitoringInterval = setInterval(async () => {
    try {
      // Real-time memory metrics
      const metrics = await access_mcp_resource({
        server_name: "safla",
        uri: "safla://performance-metrics"
      });

      // Check for memory pressure
      if (metrics.memory_usage_percent > 85) {
        await triggerMemoryOptimization(metrics);
      }

      // Monitor vector operation performance
      if (metrics.vector_operation_latency_ms > 100) {
        await optimizeVectorOperations(metrics);
      }

      // Check for memory leaks
      if (metrics.memory_growth_rate > 10) { // MB per minute
        await investigateMemoryLeak(metrics);
      }

    } catch (error) {
      console.error('Memory monitoring error:', error);
      await handleMonitoringError(error);
    }
  }, 15000); // Monitor every 15 seconds

  return monitoringInterval;
}
```

### Predictive Memory Management
```typescript
async function predictiveMemoryManagement() {
  // Gather historical data for prediction
  const [metrics, benchmarks, logs] = await Promise.all([
    access_mcp_resource({ server_name: "safla", uri: "safla://performance-metrics" }),
    access_mcp_resource({ server_name: "safla", uri: "safla://benchmark-results" }),
    access_mcp_resource({ server_name: "safla", uri: "safla://system-logs" })
  ]);

  // Analyze trends and patterns
  const trends = analyzeTrends(metrics, benchmarks, logs);
  
  // Predict future memory requirements
  const predictions = predictMemoryRequirements(trends);
  
  // Proactive optimization recommendations
  const proactiveOptimizations = generateProactiveOptimizations(predictions);

  return {
    trends,
    predictions,
    proactive_optimizations: proactiveOptimizations,
    confidence: predictions.confidence
  };
}
```

## Error Handling and Recovery

### Resource Access Error Handling
```typescript
async function safeMemoryResourceAccess(uri: string, retries: number = 3): Promise<any> {
  for (let attempt = 1; attempt <= retries; attempt++) {
    try {
      const resource = await access_mcp_resource({
        server_name: "safla",
        uri: uri
      });
      
      // Validate resource data
      if (validateMemoryResourceData(uri, resource)) {
        return resource;
      } else {
        throw new Error(`Invalid resource data for ${uri}`);
      }
      
    } catch (error) {
      console.warn(`Memory resource access attempt ${attempt} failed for ${uri}:`, error);
      
      if (attempt === retries) {
        // Use fallback data
        return getMemoryFallbackData(uri);
      }
      
      // Exponential backoff
      await new Promise(resolve => setTimeout(resolve, Math.pow(2, attempt) * 1000));
    }
  }
}
```

### Resource Data Validation
```typescript
function validateMemoryResourceData(uri: string, data: any): boolean {
  const validators = {
    'safla://performance-metrics': validatePerformanceMetrics,
    'safla://status': validateSystemStatus,
    'safla://optimization-recommendations': validateOptimizations,
    'safla://benchmark-results': validateBenchmarkResults
  };

  const validator = validators[uri];
  if (!validator) {
    console.warn(`No validator found for ${uri}`);
    return true; // Assume valid if no validator
  }

  try {
    return validator(data);
  } catch (error) {
    console.error(`Validation error for ${uri}:`, error);
    return false;
  }
}

function validatePerformanceMetrics(data: any): boolean {
  return (
    typeof data.memory_usage_percent === 'number' &&
    data.memory_usage_percent >= 0 &&
    data.memory_usage_percent <= 100 &&
    typeof data.vector_ops_per_second === 'number' &&
    data.vector_ops_per_second >= 0
  );
}
```

## Integration Examples

### Complete Memory Management Workflow
```typescript
async function executeMemoryManagementWorkflow() {
  try {
    // 1. Assess current memory state
    const memoryState = await assessMemoryHealth();
    
    // 2. Get optimization recommendations
    const optimizations = await access_mcp_resource({
      server_name: "safla",
      uri: "safla://optimization-recommendations"
    });
    
    // 3. Apply safe optimizations
    const safeOptimizations = optimizations.filter(opt => 
      opt.category === 'memory' && opt.risk_level === 'low'
    );
    
    for (const optimization of safeOptimizations) {
      await applyMemoryOptimization(optimization);
    }
    
    // 4. Monitor optimization impact
    const postOptimizationState = await assessMemoryHealth();
    
    // 5. Update learning from results
    await updateMemoryLearning(memoryState, postOptimizationState, safeOptimizations);
    
    return {
      initial_state: memoryState,
      applied_optimizations: safeOptimizations,
      final_state: postOptimizationState,
      improvement: calculateImprovement(memoryState, postOptimizationState)
    };
    
  } catch (error) {
    await handleMemoryWorkflowError(error);
    throw error;
  }
}