🧠 Claude-Flow: Advanced AI Agent Orchestration System

Transform your development workflow with intelligent multi-agent coordination and game-theoretic development protocols

Claude-Flow is a next-generation AI agent orchestration platform that enables sophisticated multi-agent coordination, advanced process management, and intelligent task distribution. Built with modern TypeScript and featuring native MCP integration, it represents the evolution of AI-powered development workflows with game-theoretic protocols and advanced synthesis capabilities.

🎬 See Claude Code in Action

Watch Claude Code seamlessly handle complex development tasks with intelligent code generation, real-time editing, and autonomous problem-solving capabilities.

🚀 Quick Start - Get Running in 60 Seconds

Method 1: NPX Quick Start (Recommended)

# Initialize complete environment
npx @sethdouglasford/claude-flow@latest init --sparc

# Start with Web UI
./claude-flow start --ui --port 3000 --auto-start

Method 2: Global Installation

# Install globally
npm install -g @sethdouglasford/claude-flow

# Initialize and start
claude-flow init --sparc
claude-flow start --ui --auto-start

Method 3: Project Integration

# Add to project
npm install @sethdouglasford/claude-flow --save-dev

# Initialize with local wrapper
npx claude-flow init --sparc
./claude-flow start --ui

🎯 Why Claude-Flow?

🏗️ Advanced Process Orchestration

Unlike simple CLI wrappers, Claude-Flow provides true process orchestration with:

• Dependency-aware startup - Components start in correct order automatically
• Real-time health monitoring - Live process status and metrics
• Auto-recovery systems - Intelligent error handling and process recovery
• Resource management - Terminal pools, memory management, coordination layers

🧠 Intelligent Agent Coordination

• Hierarchical model strategy - Automatic model selection based on task complexity
• Multi-agent workflows - Coordinated agent swarms for complex projects
• Distributed memory system - Shared knowledge across all agents
• Event-driven architecture - Real-time communication between components

🎮 Game-Theoretic Development Protocols

• Meta-frameworks - 6 advanced development protocols with cognitive budgets
• Strategic orchestration - MCP DSL and swarm intelligence coordination
• Synthesis capabilities - Pattern analysis and meta-learning systems
• Capability activation - Progressive skill unlocking and enhancement

⚡ Modern Technical Architecture

• TypeScript-first - Full type safety and modern ES modules
• MCP native integration - Model Context Protocol for advanced tool usage
• Cross-platform SEA binaries - Self-contained 71MB executables
• Multiple installation methods - NPX, global, local with intelligent detection

🎮 Usage Examples

🚀 Basic Operations

# Check system health
./claude-flow status

# Start with interactive UI
./claude-flow start --ui --port 3000

# Monitor system in real-time
./claude-flow monitor --dashboard

# Manage agent lifecycle
./claude-flow agent spawn researcher --name "DataBot"
./claude-flow agent info agent-123

🎯 Game-Theoretic Meta-Frameworks

# Advanced development protocols with cognitive budgets
./claude-flow meta-frameworks run code-review-game "Review authentication system" --reviewers 3
./claude-flow meta-frameworks run feature-discovery "Add real-time collaboration" --explorers 4
./claude-flow meta-frameworks run refactoring-game "Optimize database layer" --energy-budget 100
./claude-flow meta-frameworks run ulysses-protocol "Debug complex race condition" --time-box 2h
./claude-flow meta-frameworks run virgil-protocol "Innovative caching strategy" --restraint-level high
./claude-flow meta-frameworks run wisdom-distillation "Extract patterns from codebase" --levels 5

# List all available meta-frameworks
./claude-flow meta-frameworks list
./claude-flow meta-frameworks info ulysses-protocol

🔧 Advanced Orchestration Systems

# MCP Orchestration DSL for complex workflows
./claude-flow orchestration run mcp-dsl "
  parallel {
    task analyze_code { tool: code_analyzer, input: './src' }
    task run_tests { tool: test_runner, input: './tests' }
  }
  task generate_report { 
    depends: [analyze_code, run_tests]
    tool: report_generator 
  }
"

# Swarm Intelligence with dynamic coordination
./claude-flow orchestration run swarm-intelligence "Build microservices architecture" \
  --agents 5 --coordination hierarchical --spawn-strategy adaptive

# Show orchestration capabilities
./claude-flow orchestration list
./claude-flow orchestration dsl  # Show DSL reference

🌟 Startup & Capability Activation

# MetaClaude Protocol for comprehensive orientation
./claude-flow startup run metaclaude "Initialize development environment"

# Check capability activation status
./claude-flow startup check

# Activate specific capabilities
./claude-flow startup activate terminal-integration
./claude-flow startup activate codebase-exploration
./claude-flow startup activate real-time-development

# List all available capabilities and tutorials
./claude-flow startup list

🧬 Synthesis & Pattern Analysis

# Multi-source pattern synthesis
./claude-flow synthesis patterns error-handling --sources code,docs,research
./claude-flow synthesis patterns state-management --domains frontend,backend,mobile

# Meta-learning and capability evolution
./claude-flow synthesis evolve orchestration --benchmark current --enhance coordination
./claude-flow synthesis evolve debugging --target advanced --metrics accuracy,speed

# Show synthesis capabilities
./claude-flow synthesis list

🔥 Enhanced Swarm Strategies

# Advanced swarm strategies with intelligent coordination
./claude-flow swarm "Build e-commerce platform" --strategy development --max-agents 5
./claude-flow swarm "Analyze user behavior data" --strategy analysis --parallel
./claude-flow swarm "Optimize system performance" --strategy optimization --research
./claude-flow swarm "Comprehensive testing suite" --strategy testing --coverage 95
./claude-flow swarm "System maintenance update" --strategy maintenance --safety-checks

# Strategy intelligence and recommendations
./claude-flow swarm-strategies  # List all strategies in tree format
./claude-flow swarm-strategies development  # Detailed strategy info
./claude-flow swarm "Create REST API" --strategy auto  # Auto-recommendation

📊 Intelligent Task Analysis

# AI-powered task complexity analysis
./claude-flow analyze task "Implement user authentication with JWT and session management"
./claude-flow analyze breakdown "Create REST API" --subtasks 5 --tech-stack "Node.js,Express,MongoDB"

# Workflow analysis and optimization
./claude-flow analyze workflow examples/02-workflows/claude-workflow.json --breakdown
./claude-flow analyze project --tech-stack "React,Node.js,PostgreSQL" --team-experience senior

⚡ Comprehensive Workflow Management

# Execute workflows with advanced features
./claude-flow workflow run my-workflow.json --variables '{"env":"prod"}' --watch
./claude-flow workflow validate workflow.json --strict
./claude-flow workflow status workflow-abc123 --watch

# Template generation and management
./claude-flow workflow template development -o dev-workflow.json
./claude-flow workflow template research -o research-workflow.json

# Workflow examples and help
./claude-flow workflow examples

🧠 Memory & Knowledge Management

# Store project knowledge
./claude-flow memory store architecture "Microservice design patterns"
./claude-flow memory store requirements "JWT authentication with refresh tokens"

# Query stored information
./claude-flow memory query "authentication patterns"

# System monitoring
./claude-flow status
./claude-flow monitor --dashboard

📋 Complete Command Reference

🎯 Game-Theoretic Meta-Frameworks

🔧 Advanced Orchestration Systems

🌟 Startup & Capability Systems

🧬 Synthesis & Meta-Learning

🔥 Enhanced Swarm Strategies

📊 Intelligent Task Analysis

⚡ Comprehensive Workflow Management

Core System Commands

SPARC Development Methodology

Enterprise Commands

🏗️ Technical Architecture

Multi-Layer Orchestration System

┌─────────────────────────────────────────────────────────┐
│            Game-Theoretic Meta-Frameworks               │
├─────────────────────────────────────────────────────────┤
│          Advanced Orchestration & Synthesis             │
├─────────────────────────────────────────────────────────┤
│               Process Orchestrator                      │
├─────────────────────────────────────────────────────────┤
│  Agent 1    Agent 2    Agent 3    Agent 4    Agent 5   │
│ Architect │   Coder   │   TDD    │ Security │  DevOps   │
├─────────────────────────────────────────────────────────┤
│         Distributed Memory & Coordination Layer         │
├─────────────────────────────────────────────────────────┤
│           Terminal Pool & Resource Management           │
├─────────────────────────────────────────────────────────┤
│              MCP Server & Tool Integration              │
├─────────────────────────────────────────────────────────┤
│                Event Bus & Communication                │
└─────────────────────────────────────────────────────────┘

Core Components

• 🎯 Meta-Frameworks: Game-theoretic development protocols with cognitive budgets
• 🔧 Orchestration Engine: MCP DSL and swarm intelligence coordination
• 🌟 Synthesis System: Pattern analysis and meta-learning capabilities
• 📊 Task Analyzer: AI-powered complexity analysis and intelligent breakdown
• ⚡ Workflow Engine: Comprehensive workflow execution with real-time monitoring
• 🎛️ Process Orchestrator: Dependency-aware component lifecycle management
• 🤖 Agent Pool: Specialized AI agents with hierarchical model selection
• 🧠 Memory System: Distributed knowledge sharing with multiple backends
• 📊 Real-time Monitor: Live metrics, health checks, and performance tracking
• 🔗 MCP Server: Native Model Context Protocol integration
• ⚡ Terminal Pool: Advanced terminal session management
• 📡 Event Bus: Real-time inter-component communication

🆚 Competitive Advantages

vs. Other AI Orchestration Tools

✅ Game-Theoretic Protocols - Advanced development methodologies with cognitive budgets
✅ Intelligent Task Analysis - AI-powered complexity assessment and breakdown
✅ Advanced Orchestration - MCP DSL and swarm intelligence coordination
✅ Synthesis Capabilities - Pattern analysis and meta-learning systems
✅ Enhanced Swarm Strategies - 7 specialized coordination strategies with auto-recommendation
✅ Comprehensive Workflows - Full workflow lifecycle with real-time monitoring
✅ True Process Orchestration - Not just a CLI wrapper
✅ Modern TypeScript Architecture - Full type safety and ES modules
✅ Native MCP Integration - Advanced tool protocol support
✅ Hierarchical Model Selection - Automatic complexity-based model routing
✅ Cross-platform SEA Binaries - Self-contained executables
✅ Advanced Memory Management - Distributed knowledge systems
✅ Real-time Monitoring - Live process health and metrics
✅ Dependency-aware Startup - Components start in correct order

🧪 Testing & Quality Assurance

Comprehensive Test Coverage

# Run full test suite
npm test

# Specific test categories
npm run test:unit        # Unit tests
npm run test:integration # Integration tests
npm run test:e2e         # End-to-end tests

# Generate coverage reports
npm run test:coverage

# Quality checks
npm run lint
npm run typecheck

Quality Metrics

• ✅ TypeScript-first: Full type safety across codebase
• ✅ Modern ES Modules: No CommonJS legacy issues
• ✅ Cross-platform: Windows, Mac, Linux support
• ✅ Self-contained: 71MB SEA binaries with zero dependencies
• ✅ Production-ready: Advanced error handling and recovery
• ✅ Game-Theoretic Protocols: Scientifically-backed development methodologies
• ✅ AI-Powered Analysis: Intelligent task complexity assessment
• ✅ Advanced Orchestration: Multi-modal coordination strategies

🤝 Contributing

We welcome contributions! Here's how to get started:

Development Setup

# Clone and setup
git clone https://github.com/yourusername/claude-code-flow.git
cd claude-code-flow
npm install

# Build and test
npm run build
npm test

# Link for local development
npm link

Contributing Guidelines

• 🐛 Bug Reports: Use GitHub issues with detailed reproduction steps
• 💡 Feature Requests: Propose new features with use cases and examples
• 🔧 Pull Requests: Follow TypeScript standards and include tests
• 📚 Documentation: Help improve docs and add real-world examples
• 🎯 Meta-Frameworks: Contribute new game-theoretic development protocols
• 🔧 Orchestration: Add new coordination strategies and patterns
• 🧬 Synthesis: Enhance pattern analysis and meta-learning capabilities

📄 License

MIT License - see LICENSE for details.

🎉 Acknowledgments

• Anthropic: For Claude AI that powers our intelligent agents
• TypeScript Team: For the excellent type system and tooling
• Node.js Community: For the robust runtime environment
• MCP Protocol: For standardized AI tool integration
• Game Theory Research: For cognitive budget and tournament methodologies
• Open Source Community: For contributions and feedback

🚀 Ready to revolutionize your development workflow?

npx @sethdouglasford/claude-flow@latest init --sparc

Join developers building the future of AI-assisted development with game-theoretic protocols and advanced synthesis capabilities!

Built with ❤️ and TypeScript | Powered by Claude AI | Advanced Process Orchestration | Game-Theoretic Development

@sethdouglasford/claude-flow

1.5.0

Minor Changes

• Enhanced agent template matching and ES5 compatibility fixes

  • Fixed template matching logic in agent spawning with 4-tier strategy (exact type, exact name, partial name, partial type)
  • Resolved ES5 compatibility issues with Map iterations using Array.from() approach
  • Enhanced template lookup with robust error handling and debug logging
  • Updated AgentManager with comprehensive template resolution
  • Successfully tested agent spawning functionality for researcher and developer agents
  • Improved SPARC mode integration and system stability

Patch Changes

• updates