V3 Performance Optimization

What problem does it solve? Engineering teams upgrading to Codex-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 detect regressions before they reach production. ## Core Features & Use Cases - Comprehensive Benchmark Suites: TypeScript benchmark classes for startup time, vector search, memory usage, Flash Attention, SONA adaptation, and 15-agent swarm coordination. - Target Validation Gates: Automated validation framework that checks each metric against its target range and reports pass/fail with recommendations. - Continuous Regression Detection: Compares current benchmark runs against baselines and flags regressions exceeding a 5% threshold with severity classification. - Use Case: After integrating AgentDB HNSW indexing, run the memory benchmark suite to confirm search latency improved by at least 150x and memory usage dropped by 50% before merging. ## Quick Start Run the full v3 benchmark suite to validate Flash Attention, search, and memory targets against the performance gates.