V3 Performance Optimization

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, 50-75% memory reduction) are actually met, and detect regressions before they ship. ## Core Features & Use Cases - Comprehensive Benchmark Suites: TypeScript benchmark classes for startup latency, vector search, memory usage, Flash Attention, SONA adaptation, and 15-agent swarm coordination. - Target Validation Gates: A PerformanceGates framework that validates every v3 target and reports pass/fail with an overall score and recommendations. - Continuous Regression Detection: Automated comparison of current benchmarks against baselines with a 5% regression threshold and severity classification. - Use Case: Run the full benchmark suite after integrating AgentDB HNSW indexing to confirm search latency stays under 100ms for 1M+ entries and memory reduction stays within the 50-75% target band. ## Quick Start Ask the AI to establish a v2 performance baseline and then validate the Flash Attention, search, and memory optimization targets in parallel using the v3-performance-engineer agent.