🧠 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

Framework	Purpose	Key Features	Example
`code-review-game`	Multi-agent code review with concern budgets	Progressive disclosure, reviewer tournaments	`./claude-flow meta-frameworks run code-review-game "Review auth system"`
`feature-discovery`	Cognitive exploration with diversity tournaments	Isolated generation, cross-pollination	`./claude-flow meta-frameworks run feature-discovery "Add collaboration"`
`refactoring-game`	Energy-budget refactoring with spiral detection	Minimax regret, efficiency optimization	`./claude-flow meta-frameworks run refactoring-game "Optimize DB layer"`
`ulysses-protocol`	High-stakes debugging with systematic escalation	Time-boxed phases, escalation triggers	`./claude-flow meta-frameworks run ulysses-protocol "Debug race condition"`
`virgil-protocol`	3% Rule innovation with restraint	Exhaustive discovery, innovation restraint	`./claude-flow meta-frameworks run virgil-protocol "Novel caching strategy"`
`wisdom-distillation`	Multi-level abstraction extraction	Tactical to universal principles	`./claude-flow meta-frameworks run wisdom-distillation "Extract patterns"`

🔧 Advanced Orchestration Systems

System	Purpose	Key Features	Example
`mcp-dsl`	MCP Orchestration DSL	Parallel execution, variables, conditionals	`./claude-flow orchestration run mcp-dsl "workflow definition"`
`swarm-intelligence`	Dynamic agent coordination	5 specialized agents, 3 coordination modes	`./claude-flow orchestration run swarm-intelligence "Build architecture"`

🌟 Startup & Capability Systems

Capability	Purpose	Status Tracking	Example
`metaclaude`	Comprehensive orientation protocol	Progressive activation	`./claude-flow startup run metaclaude "Initialize environment"`
`terminal-integration`	Advanced terminal operations	Capability monitoring	`./claude-flow startup activate terminal-integration`
`codebase-exploration`	Deep code analysis	Skill progression	`./claude-flow startup activate codebase-exploration`
`real-time-development`	Live coding assistance	Performance metrics	`./claude-flow startup activate real-time-development`

🧬 Synthesis & Meta-Learning

System	Purpose	Intelligence Level	Example
`pattern-synthesizer`	Multi-source pattern analysis	Cross-domain synthesis	`./claude-flow synthesis patterns error-handling`
`meta-learning-darwin`	Self-improving AI system	Evolutionary branching	`./claude-flow synthesis evolve orchestration`

🔥 Enhanced Swarm Strategies

Strategy	Purpose	Coordination Mode	Duration	Example
`development`	Full-stack development	Hierarchical	~120 min	`./claude-flow swarm "Build API" --strategy development`
`analysis`	Data analysis & insights	Mesh	~90 min	`./claude-flow swarm "Analyze data" --strategy analysis`
`testing`	Comprehensive testing	Parallel	~60 min	`./claude-flow swarm "Test suite" --strategy testing`
`optimization`	Performance optimization	Hybrid	~90 min	`./claude-flow swarm "Optimize system" --strategy optimization`
`maintenance`	System maintenance	Centralized	~75 min	`./claude-flow swarm "Update system" --strategy maintenance`
`research`	Deep research & analysis	Distributed	~180 min	`./claude-flow swarm "Research trends" --strategy research`
`auto`	Intelligent strategy selection	Adaptive	Variable	`./claude-flow swarm "Any objective" --strategy auto`

📊 Intelligent Task Analysis

Command	Purpose	AI-Powered Features	Example
`analyze task`	Single task complexity analysis	Complexity scoring, risk assessment	`./claude-flow analyze task "Implement auth"`
`analyze breakdown`	Task decomposition	Subtask generation, acceptance criteria	`./claude-flow analyze breakdown "Build API" --subtasks 5`
`analyze workflow`	Workflow optimization	Multi-task analysis, recommendations	`./claude-flow analyze workflow workflow.json`
`analyze project`	Project-wide analysis	Technology context, team assessment	`./claude-flow analyze project --tech-stack "React,Node"`

⚡ Comprehensive Workflow Management

Command	Purpose	Advanced Features	Example
`workflow run`	Execute workflows	Variables, watch mode, parallel execution	`./claude-flow workflow run workflow.json --watch`
`workflow validate`	Workflow validation	Strict mode, dependency checking	`./claude-flow workflow validate workflow.json --strict`
`workflow status`	Execution monitoring	Real-time progress, task status	`./claude-flow workflow status workflow-123 --watch`
`workflow template`	Template generation	Multiple workflow types	`./claude-flow workflow template development -o dev.json`

Core System Commands

Command	Description	Example
`init`	Initialize project with Claude integration	`./claude-flow init --sparc`
`start`	Start orchestration system with UI	`./claude-flow start --ui --auto-start`
`status`	System health and process metrics	`./claude-flow status`
`monitor`	Real-time system monitoring	`./claude-flow monitor --dashboard`
`agent`	Advanced agent lifecycle management	`./claude-flow agent spawn researcher`

SPARC Development Methodology

Mode	Purpose	Example
`architect`	System design and architecture	`./claude-flow sparc run architect "design scalable API"`
`coder`	Autonomous code generation	`./claude-flow sparc run coder "implement user service"`
`researcher`	Deep research and analysis	`./claude-flow sparc run researcher "best practices for microservices"`
`tdd`	Test-driven development	`./claude-flow sparc run tdd "create comprehensive test suite"`
`reviewer`	Code review and quality	`./claude-flow sparc run reviewer "audit authentication flow"`
`debugger`	Debug and fix issues	`./claude-flow sparc run debugger "resolve API timeout issues"`
`tester`	Comprehensive testing	`./claude-flow sparc run tester "validate payment system"`
`analyzer`	Code and data analysis	`./claude-flow sparc run analyzer "performance bottlenecks"`
`optimizer`	Performance optimization	`./claude-flow sparc run optimizer "database query efficiency"`
`documenter`	Documentation generation	`./claude-flow sparc run documenter "API documentation"`

Enterprise Commands

Command	Description	Example
`enterprise project`	Project lifecycle management	`./claude-flow enterprise project create "API Project" --type web-app`
`enterprise deploy`	Deployment automation	`./claude-flow enterprise deploy create "v1.2.0" --strategy blue-green`
`enterprise cloud`	Multi-cloud infrastructure	`./claude-flow enterprise cloud providers`
`enterprise security`	Security scanning & compliance	`./claude-flow enterprise security scan "Vulnerability Check" ./src`
`enterprise analytics`	Performance analytics	`./claude-flow enterprise analytics dashboard`
`enterprise audit`	Enterprise audit logging	`./claude-flow enterprise audit logs --framework SOC2`

🏗️ 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

Name		Name	Last commit message	Last commit date
Latest commit History 181 Commits
.changeset		.changeset
.claude		.claude
.cursor		.cursor
.github		.github
.roo		.roo
bin		bin
coordination		coordination
docs		docs
examples		examples
mcp_config		mcp_config
memory		memory
reports		reports
scripts		scripts
src		src
tests		tests
.dockerignore		.dockerignore
.gitignore		.gitignore
.gitmodules		.gitmodules
.npmignore		.npmignore
.prettierrc.json		.prettierrc.json
.releaserc.json		.releaserc.json
.roomodes		.roomodes
CHANGELOG.md		CHANGELOG.md
CLAUDE.md		CLAUDE.md
Dockerfile		Dockerfile
LICENSE		LICENSE
README.md		README.md
claude-flow		claude-flow
demo.gif		demo.gif
eslint.config.js		eslint.config.js
integration-test.js		integration-test.js
jest.config.js		jest.config.js
jest.setup.js		jest.setup.js
package-lock.json		package-lock.json
package.json		package.json
sea-config.json		sea-config.json
tsconfig.eslint.json		tsconfig.eslint.json
tsconfig.json		tsconfig.json

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🧠 Claude-Flow: Advanced AI Agent Orchestration System

🎬 See Claude Code in Action

🚀 Quick Start - Get Running in 60 Seconds

Method 1: NPX Quick Start (Recommended)

Method 2: Global Installation

Method 3: Project Integration

🎯 Why Claude-Flow?

🏗️ Advanced Process Orchestration

🧠 Intelligent Agent Coordination

🎮 Game-Theoretic Development Protocols

⚡ Modern Technical Architecture

🎮 Usage Examples

🚀 Basic Operations

🎯 Game-Theoretic Meta-Frameworks

🔧 Advanced Orchestration Systems

🌟 Startup & Capability Activation

🧬 Synthesis & Pattern Analysis

🔥 Enhanced Swarm Strategies

📊 Intelligent Task Analysis

⚡ Comprehensive Workflow Management

🧠 Memory & Knowledge Management

📋 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

Core Components

🆚 Competitive Advantages

vs. Other AI Orchestration Tools

🧪 Testing & Quality Assurance

Comprehensive Test Coverage

Quality Metrics

🤝 Contributing

Development Setup

Contributing Guidelines

📄 License

🎉 Acknowledgments

🚀 Ready to revolutionize your development workflow?

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