What problem does it solve? Engineering teams upgrading to claude-flow v3 need to verify that aggressive performance targets—2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvement, and 50-75% memory reduction—are actually achieved, and to detect regressions before they reach production. ## Core Features & Use Cases - Comprehensive Benchmark Suites: TypeScript benchmark classes for startup time, vector search, memory usage, swarm coordination, Flash Attention, and SONA adaptation latency. - Target Validation Gates: A PerformanceGates framework that validates every v3 target (sub-500ms startup, sub-0.05ms SONA adaptation) and reports pass/fail per metric. - Regression Detection: Continuous monitoring that compares current benchmarks against baselines and flags regressions exceeding a 5% threshold with severity classification. - Use Case: Before releasing a v3 build, run the full benchmark suite to confirm HNSW search hits the 150x improvement floor and memory reduction stays within the 50-75% band. ## Quick Start Ask the AI to establish v2 performance baselines and then validate the Flash Attention, search, and memory optimization targets in parallel using the v3-performance-engineer agent.
