Files
ruflo/v2/benchmark/docs
rUvandClaude Opus 4.5 1b6a1971f7 feat(v3): add comprehensive v3 implementation plans and swarm architecture
- Reorganize v3/ into implementation/ subfolders:
  - planning/, architecture/, migration/, integration/
  - security/, adrs/, research/, swarm-plans/

- Add 15-agent concurrent swarm implementation plans:
  - SWARM-OVERVIEW.md: Hierarchical mesh topology, 4 phases
  - AGENT-SPECIFICATIONS.md: 15 agent configs with capabilities
  - TDD-LONDON-SCHOOL-PLAN.md: Mock-first TDD methodology
  - BENCHMARK-OPTIMIZATION.md: Performance targets (2.49x-7.47x)
  - DEPLOYMENT-PLAN.md: Release strategy, CI/CD, rollback
  - GITHUB-ISSUE-TRACKING.md: Issue workflow with agent replies

- Update .claude/settings.json with proper hooks format
- Add bash aliases for claude --dangerously-skip-permissions

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-04 15:40:51 +00:00
..

Swarm Benchmark Documentation

Welcome to the comprehensive documentation for the Claude Flow Swarm Benchmarking Tool. This documentation covers everything you need to know about benchmarking, optimizing, and analyzing swarm performance.

📚 Documentation Index

Getting Started

Core Concepts

Usage Guides

Optimization

Advanced Topics

  • Run your first benchmark: swarm-benchmark run "Your task here"
  • View available strategies: swarm-benchmark list strategies
  • Check recent results: swarm-benchmark list
  • Get help: swarm-benchmark --help

📊 What is Swarm Benchmarking?

The Swarm Benchmarking Tool is designed to measure, analyze, and optimize the performance of agent swarms in the Claude Flow system. It provides:

  • Performance Metrics: Execution time, resource usage, success rates
  • Quality Assessment: Accuracy, completeness, and consistency scores
  • Coordination Analysis: Overhead and efficiency of different coordination patterns
  • Optimization Insights: Recommendations for improving swarm performance

🎯 Key Features

  1. 7 Swarm Strategies: Auto, Research, Development, Analysis, Testing, Optimization, Maintenance
  2. 5 Coordination Modes: Centralized, Distributed, Hierarchical, Mesh, Hybrid
  3. Multiple Output Formats: JSON, SQLite, CSV, HTML reports
  4. Real-time Monitoring: Track swarm execution in real-time
  5. Comprehensive Metrics: Performance, quality, and resource utilization tracking

📖 How to Use This Documentation

  1. New Users: Start with the Quick Start Guide
  2. Developers: Review the Architecture and API Reference
  3. Performance Tuning: See the Optimization Guide
  4. Troubleshooting: Check the Troubleshooting Guide

🤝 Contributing

We welcome contributions! See our Contributing Guide for details on:

  • Reporting issues
  • Suggesting improvements
  • Submitting pull requests
  • Adding new strategies or modes

📞 Support

  • GitHub Issues: Report bugs and request features
  • Documentation: This comprehensive guide
  • Examples: See the examples/ directory for sample benchmarks

© 2024 Claude Flow Team | License | Code of Conduct