Performance Overview

Comprehensive technical guide to Lokus’s performance capabilities, including benchmarks, specifications, and revolutionary improvements in v1.3.

Version: 1.3.1 | Status: Production

Executive Summary

Lokus v1.3 introduces groundbreaking performance improvements across the entire application:

Note: Performance Achievements:

• 100x faster search on workspaces with 10,000+ files
• 90% memory reduction during search operations
• O(1) lookup complexity with Quantum Superposition Index
• Sub-millisecond queries for property-based searches
• 40% faster initial application load time
• 10x improvement in Base table rendering with virtualization
• Real-time indexing with zero UI blocking

Workload Capacity

Lokus v1.3 is engineered to handle enterprise-scale workloads:

Performance Benchmarks

Search Performance Comparison

Standard Index vs. Quantum Index:

Note: Note: Quantum Index provides exponentially better performance as workspace size grows. The larger your workspace, the more dramatic the improvement.

Memory Usage Comparison

Query Latency (P50/P95/P99)

Percentile latency measurements:

Note: P99 Performance: Even at the 99th percentile, Quantum queries are 10-30x faster than standard searches, ensuring consistent user experience.

Performance by Feature

Editor Performance

Large Document Handling:

• Documents up to 10MB supported
• Virtual scrolling for smooth navigation
• Lazy content loading prevents lag
• Debounced auto-save (1-second intervals)

Real-time Typing:

• <16ms keystroke latency
• Optimized re-render pipeline
• Efficient undo/redo history

File System Performance

File Tree Operations:

• Lazy folder loading
• Virtual scrolling for 10,000+ files
• Debounced file watcher events
• Smart exclude patterns

File Watching:

• Up to 10,000 watched files
• 500ms event debouncing
• Incremental updates only

Search Performance

Indexing:

• Background worker threads
• Incremental index updates
• Zero UI blocking
• Real-time results

Query Execution:

• Cached results (5-minute TTL)
• Scoped searches for speed
• Configurable result limits
• File type filtering

Memory Management

Optimizations:

• LRU caching for file contents
• Automatic tab closure (20 tab limit)
• Efficient garbage collection
• Smart resource cleanup

Network Performance

Gmail Integration:

• Batch API requests (100 messages/batch)
• Email metadata caching
• Connection pooling

MCP Server:

• Connection pooling (5 max)
• Load balancing across connections
• Automatic reconnection

Performance Monitoring

Built-in Metrics

class PerformanceMonitor {
  measure(name: string, fn: () => void) {
    const start = performance.now();
    fn();
    const end = performance.now();
    console.log(`${name} took ${end - start}ms`);
  }
 
  async measureAsync(name: string, fn: () => Promise<void>) {
    const start = performance.now();
    await fn();
    const end = performance.now();
    console.log(`${name} took ${end - start}ms`);
  }
}

Memory Profiling

function getMemoryUsage() {
  if (performance.memory) {
    return {
      used: performance.memory.usedJSHeapSize,
      total: performance.memory.totalJSHeapSize,
      limit: performance.memory.jsHeapSizeLimit,
      percent: (performance.memory.usedJSHeapSize /
        performance.memory.jsHeapSizeLimit) * 100
    };
  }
  return null;
}
 
// Monitor memory usage
setInterval(() => {
  const memory = getMemoryUsage();
  if (memory && memory.percent > 80) {
    console.warn('Memory usage high:', memory.percent.toFixed(2) + '%');
  }
}, 30000);

Performance Tips

Note: Quick Wins for Better Performance:

1. Enable Quantum Search - Up to 100x faster searches
2. Limit Open Tabs - Set max to 20 tabs
3. Use Exclude Patterns - Ignore node_modules, .git, dist
4. Enable Virtual Scrolling - For large file lists
5. Batch Operations - Group related API calls
6. Monitor Memory - Keep usage under 80%

Configuration Recommendations

For Large Workspaces (5,000+ files)

{
  "performance": {
    "quantumSearch": {
      "enabled": true,
      "indexType": "full"
    },
    "virtualScrolling": true,
    "maxOpenTabs": 20
  },
  "files": {
    "excludePatterns": ["node_modules", ".git", "dist", "build"],
    "maxWatchedFiles": 10000
  }
}

For Memory-Constrained Systems

{
  "performance": {
    "maxOpenTabs": 10,
    "quantumSearch": {
      "enabled": true,
      "cacheSize": 500
    }
  },
  "editor": {
    "maxUndoDepth": 25,
    "syntaxHighlightingLimit": 5000
  }
}

For Maximum Speed

{
  "performance": {
    "quantumSearch": {
      "enabled": true,
      "indexType": "full",
      "semanticCache": true,
      "predictivePrefetch": true,
      "wasmAcceleration": true
    },
    "virtualScrolling": true
  }
}

Performance Best Practices

1. Debounce expensive operations - Save, search, validation
2. Use virtual scrolling - For long lists and large files
3. Lazy load content - Files, plugins, images
4. Cache aggressively - File contents, search results, computed values
5. Batch API calls - Group related operations
6. Optimize re-renders - React.memo, useMemo, useCallback
7. Use web workers - For heavy computations
8. Monitor performance - Track slow operations
9. Clean up resources - Remove listeners, close connections
10. Test with large data - Ensure scalability

Next Steps

Learn more about specific performance features:

• Quantum Architecture - Revolutionary search system
• Optimization Techniques - Detailed optimization guides
• Troubleshooting - Debug performance issues
• Configuration - Performance settings reference