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README.md

📚 Claude-Flow Documentation

Welcome to the Claude-Flow documentation! This directory contains comprehensive guides and references for using Claude-Flow v2.7.0.

📖 Core Documentation

Document Description
INDEX.md Complete documentation hub with navigation and quick start
USER_GUIDE.md Comprehensive user guide with tutorials and examples
API_DOCUMENTATION.md Complete API reference with all 112 MCP tools
AGENTS.md All 65+ agent types with capabilities and usage
SWARM.md Swarm intelligence, topologies, and coordination
SPARC.md SPARC methodology with all 17 development modes
MCP_TOOLS.md Detailed reference for all MCP tools
ARCHITECTURE.md System architecture and design patterns
DEPLOYMENT.md Production deployment guides for Docker, K8s, Cloud
DEVELOPMENT_WORKFLOW.md Development setup and contribution guide

📁 Documentation Categories

Release notes, changelogs, and version documentation

AgentDB v1.3.9 integration documentation (96x-164x performance boost)

Performance optimization guides, metrics, and benchmarks

Bug fix documentation and patch reports

🛠️ Development

Internal development reports and implementation details

Test reports and validation results

Tutorials and learning resources

Third-party platform integrations

  • ReasoningBank (16 docs) - AI reasoning integration
  • Agentic Flow (5 docs) - Agent flow system
  • Agent Booster - Performance optimization
  • Epic SDK - SDK integration

🏗️ Additional Resources

  • Architecture - System architecture documentation
  • Experimental - Experimental features
  • Reference - API and command reference
  • Setup - Setup and configuration guides
  • CI/CD - Continuous integration workflows
  • SDK - SDK documentation
  • Wiki - Additional documentation

🚀 Quick Links

🎯 By User Type

👨‍💻 Developers

  1. Quick Start Guide - Get up and running
  2. Skills Tutorial - Natural language skill activation
  3. SPARC Development - Structured development methodology
  4. API Reference - Complete endpoint documentation

🏢 DevOps/Operations

  1. Deployment Guide - Production deployment
  2. Architecture Overview - System design
  3. Docker Verification - Testing reports

👑 Technical Leaders

  1. System Architecture - High-level design
  2. Performance Metrics - Benchmarks and optimization
  3. AgentDB Integration - 96x-164x performance improvements

📊 Performance Highlights

  • 96x-164x faster search - AgentDB vector search improvements
  • 4-32x memory reduction - Quantization benefits
  • 84.8% SWE-Bench solve rate - Industry-leading performance
  • 32.3% token reduction - Efficient context management
  • 2.8-4.4x speed improvement - Parallel coordination

📞 Support


Last Updated: January 2025 | Version: v2.7.1