V3 Performance Optimization

Optimize claude-flow v3 performance by applying Flash Attention acceleration, AgentDB HNSW indexing, and system-level tuning to reduce latency and memory usage. This Skill provides targeted configurations and a benchmarking suite to validate improvements in production environments.

This Skill includes end-to-end benchmarks for startup time, memory usage, swarm coordination, and attention performance. Run npm run benchmark:v3, benchmark:flash-attention, or benchmark:memory-optimization to establish baselines and validate optimization targets.

Yes. This Skill integrates Flash Attention for inference acceleration and AgentDB HNSW indexing for efficient retrieval, coupled with comprehensive monitoring to track latency and resource consumption across your deployment.

Flash Attention acceleration is a core optimization target in this Skill. It reduces attention computation overhead on GPU-accelerated inference, lowering latency for high-throughput workloads. Validate impact using the dedicated flash-attention benchmark.

Run the full performance suite with npm run benchmark:v3 to capture startup, memory, coordination, and attention metrics across your deployment. These baselines enable continuous monitoring and quantify gains from individual optimization targets.

Use memory-constrained optimization when deployments face resource limits; use throughput optimization for high-volume, latency-sensitive scenarios. This Skill supports both via separate benchmarks and monitoring, allowing you to target your specific constraint.