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257 lines
6.7 KiB
Markdown
257 lines
6.7 KiB
Markdown
# @claude-flow/performance
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[](https://www.npmjs.com/package/@claude-flow/performance)
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[](https://www.npmjs.com/package/@claude-flow/performance)
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[](https://opensource.org/licenses/MIT)
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[](https://www.typescriptlang.org/)
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[](https://vitest.dev/)
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> Comprehensive performance benchmarking module for Claude Flow V3 - statistical analysis, memory tracking, regression detection, and Flash Attention validation.
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## Features
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- **Statistical Benchmarking** - Mean, median, P95, P99, standard deviation, outlier removal
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- **Memory Tracking** - Heap, RSS, external, and array buffer monitoring
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- **Auto-Calibration** - Automatically adjusts iterations for statistical significance
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- **Regression Detection** - Compare against baselines with significance testing
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- **V3 Performance Targets** - Built-in targets for CLI, memory, swarm, and attention
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- **Flash Attention Validation** - Validate 2.49x-7.47x speedup targets
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- **Multiple Output Formats** - Console, JSON, and programmatic access
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## Installation
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```bash
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npm install @claude-flow/performance
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```
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## Quick Start
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```typescript
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import { benchmark, BenchmarkRunner, V3_PERFORMANCE_TARGETS } from '@claude-flow/performance';
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// Single benchmark
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const result = await benchmark('vector-search', async () => {
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await index.search(queryVector, 10);
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}, {
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iterations: 100,
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warmup: 10
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});
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console.log(`Mean: ${result.mean}ms, P99: ${result.p99}ms`);
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// Check against target
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if (result.mean <= V3_PERFORMANCE_TARGETS['vector-search']) {
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console.log('Target met!');
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}
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```
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## API Reference
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### Single Benchmark
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```typescript
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import { benchmark } from '@claude-flow/performance';
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const result = await benchmark(
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'my-benchmark',
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async () => {
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// Code to benchmark
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await someOperation();
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},
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{
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iterations: 100, // Number of iterations
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warmup: 10, // Warmup iterations
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timeout: 30000, // Timeout per iteration (ms)
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forceGC: false, // Force GC between iterations
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minRuns: 10, // Minimum runs for significance
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targetTime: 1000, // Target time for auto-calibration (ms)
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metadata: {} // Custom metadata
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}
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);
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// Result structure
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{
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name: 'my-benchmark',
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iterations: 100,
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mean: 5.23,
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median: 4.98,
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p95: 8.12,
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p99: 12.45,
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min: 3.21,
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max: 15.67,
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stdDev: 1.45,
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opsPerSecond: 191.20,
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memoryUsage: { heapUsed, heapTotal, external, arrayBuffers, rss },
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memoryDelta: 1024000,
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timestamp: 1704067200000
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}
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```
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### Benchmark Suite
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```typescript
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import { BenchmarkRunner } from '@claude-flow/performance';
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const runner = new BenchmarkRunner('Memory Operations');
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// Run individual benchmarks
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await runner.run('vector-search', async () => {
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await index.search(query, 10);
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});
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await runner.run('memory-write', async () => {
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await store.write(entry);
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});
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// Or run all at once
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const suite = await runner.runAll([
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{ name: 'search', fn: () => search() },
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{ name: 'write', fn: () => write() },
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{ name: 'index', fn: () => index() }
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]);
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// Print results
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runner.printResults();
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// Export as JSON
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const json = runner.toJSON();
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```
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### Comparison & Regression Detection
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```typescript
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import { compareResults, printComparisonReport } from '@claude-flow/performance';
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// Compare current vs baseline
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const comparisons = compareResults(baselineResults, currentResults, {
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'vector-search': 1, // Target: <1ms
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'memory-write': 5, // Target: <5ms
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'cli-startup': 500 // Target: <500ms
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});
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// Print formatted report
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printComparisonReport(comparisons);
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// Programmatic access
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for (const comp of comparisons) {
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if (!comp.targetMet) {
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console.error(`${comp.benchmark} missed target!`);
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}
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if (comp.significant && !comp.improved) {
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console.warn(`${comp.benchmark} regressed by ${comp.changePercent}%`);
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}
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}
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```
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### V3 Performance Targets
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```typescript
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import { V3_PERFORMANCE_TARGETS, meetsTarget } from '@claude-flow/performance';
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// Built-in targets
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V3_PERFORMANCE_TARGETS = {
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// Startup Performance
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'cli-cold-start': 500, // <500ms (5x faster)
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'cli-warm-start': 100, // <100ms
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'mcp-server-init': 400, // <400ms (4.5x faster)
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'agent-spawn': 200, // <200ms (4x faster)
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// Memory Operations
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'vector-search': 1, // <1ms (150x faster)
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'hnsw-indexing': 10, // <10ms
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'memory-write': 5, // <5ms (10x faster)
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'cache-hit': 0.1, // <0.1ms
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// Swarm Coordination
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'agent-coordination': 50, // <50ms
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'task-decomposition': 20, // <20ms
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'consensus-latency': 100, // <100ms (5x faster)
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'message-throughput': 0.1, // <0.1ms per message
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// SONA Learning
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'sona-adaptation': 0.05 // <0.05ms
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};
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// Check if target is met
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const { met, target, ratio } = meetsTarget('vector-search', 0.8);
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// { met: true, target: 1, ratio: 0.8 }
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```
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### Formatting Utilities
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```typescript
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import { formatBytes, formatTime } from '@claude-flow/performance';
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formatTime(0.00005); // '50.00 ns'
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formatTime(0.5); // '500.00 us'
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formatTime(5); // '5.00 ms'
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formatTime(5000); // '5.00 s'
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formatBytes(1024); // '1.00 KB'
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formatBytes(1048576); // '1.00 MB'
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formatBytes(1073741824); // '1.00 GB'
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```
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## Running Benchmarks
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```bash
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# Run all benchmarks
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npm run bench
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# Run attention benchmarks
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npm run bench:attention
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# Run startup benchmarks
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npm run bench:startup
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```
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## Example Benchmark File
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```typescript
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// benchmarks/memory.bench.ts
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import { describe, bench } from 'vitest';
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import { HNSWIndex } from '@claude-flow/memory';
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describe('Memory Benchmarks', () => {
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const index = new HNSWIndex({ dimensions: 1536 });
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bench('vector-search', async () => {
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await index.search(queryVector, 10);
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}, { iterations: 1000 });
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bench('hnsw-indexing', async () => {
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await index.addPoint(id, vector);
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}, { iterations: 100 });
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});
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```
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## TypeScript Types
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```typescript
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import type {
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BenchmarkResult,
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BenchmarkOptions,
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BenchmarkSuite,
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MemoryUsage,
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EnvironmentInfo,
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ComparisonResult,
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PerformanceTarget
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} from '@claude-flow/performance';
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```
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## Dependencies
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- `@ruvector/attention` - Flash Attention implementation
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- `@ruvector/sona` - SONA learning engine
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- `vitest` - Test/benchmark runner
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## Related Packages
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- [@claude-flow/memory](../memory) - Memory operations to benchmark
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- [@claude-flow/swarm](../swarm) - Swarm coordination to benchmark
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- [@claude-flow/neural](../neural) - Neural operations to benchmark
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## License
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MIT
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