🚀 Claude Flow Plugin - Complete Enterprise AI Agent Orchestration

Enterprise-grade AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities

📋 Table of Contents

Overview
Features
Quick Start
Installation
Components
Usage
MCP Integration
Examples
Documentation
Support

🌟 Overview

Claude Flow is the most comprehensive Claude Code plugin for enterprise AI agent orchestration. It provides a complete ecosystem for:

Multi-Agent Coordination: 74+ specialized agents with swarm intelligence
SPARC Methodology: Systematic development with 18 specialized modes
GitHub Automation: 14+ tools for complete repository workflow automation
Neural Training: 27+ models with WASM acceleration
150+ Commands: Complete slash command library for all workflows
MCP Integration: 110+ tools across 3 MCP servers

✨ Features

🐝 Swarm Coordination

4 Topologies: Hierarchical, Mesh, Ring, Star
Auto-Spawning: Intelligent agent creation based on task complexity
Auto-Optimization: Dynamic topology adjustment for performance
100 Max Agents: Scale to handle enterprise workloads
Cross-Session Memory: Persistent context and learnings

🎯 SPARC Methodology

Specification: Requirements analysis and planning
Pseudocode: Algorithm design and logic flow
Architecture: System design and component structure
Refinement: TDD and iterative improvement
Code: Implementation and optimization
18 Specialized Modes: Complete development lifecycle coverage

🐙 GitHub Integration

PR Management: Automated pull request workflows
Code Review Swarms: Multi-agent code analysis
Issue Tracking: Intelligent issue triage and assignment
Release Automation: Coordinated multi-package releases
Workflow Automation: Custom GitHub Actions integration
Multi-Repo Coordination: Cross-repository synchronization

🧠 Neural Training

27+ Models: Pre-trained patterns for common tasks
WASM Acceleration: 2.8-4.4x speed improvement
SIMD Optimization: Advanced vector processing
Pattern Learning: Self-improving agent behaviors
Context Persistence: Cross-session learning retention

🎨 74+ Specialized Agents

Core Development (5)

coder - Code implementation specialist
planner - Strategic planning and roadmaps
researcher - Information gathering and analysis
reviewer - Code quality and security review
tester - Comprehensive test creation

Swarm Coordination (5)

hierarchical-coordinator - Queen-led command structure
mesh-coordinator - Peer-to-peer coordination
adaptive-coordinator - Dynamic topology management
collective-intelligence-coordinator - Distributed decision-making
swarm-memory-manager - Cross-agent memory coordination

Consensus & Fault Tolerance (7)

byzantine-coordinator - Byzantine fault tolerance
raft-manager - Raft consensus protocol
gossip-coordinator - Gossip-based consensus
crdt-synchronizer - Conflict-free data replication
quorum-manager - Dynamic quorum management
security-manager - Comprehensive security protocols
performance-benchmarker - Consensus performance testing

GitHub Automation (13)

pr-manager - Pull request coordination
code-review-swarm - Multi-agent code reviews
issue-tracker - Issue management and triage
release-manager - Release coordination
workflow-automation - GitHub Actions management
repo-architect - Repository structure optimization
multi-repo-swarm - Cross-repository coordination
sync-coordinator - Version alignment across repos
And 5 more specialized GitHub agents...

Specialized Development (8)

backend-dev - Backend API development
mobile-dev - React Native mobile development
ml-developer - Machine learning workflows
cicd-engineer - CI/CD pipeline creation
api-docs - OpenAPI/Swagger documentation
system-architect - System design and architecture
code-analyzer - Advanced code quality analysis
base-template-generator - Boilerplate generation

SPARC Methodology (4)

specification - Requirements analysis
pseudocode - Algorithm design
architecture - System architecture
refinement - Iterative improvement

And 32 more specialized agents!

📦 150+ Commands

Coordination (6)

/coordination-swarm-init - Initialize swarm with topology
/coordination-agent-spawn - Create specialized agents
/coordination-task-orchestrate - Coordinate task execution
/coordination-spawn - Quick agent spawning
/coordination-orchestrate - Advanced orchestration
/coordination-init - Setup coordination environment

SPARC Methodology (18)

/sparc-modes - List all SPARC modes
/sparc-coder - Clean code implementation
/sparc-tdd - Test-driven development
/sparc-architect - Architecture design
/sparc-reviewer - Code review mode
/sparc-tester - Test creation mode
/sparc-analyzer - Code analysis
/sparc-researcher - Research mode
/sparc-optimizer - Performance optimization
/sparc-debugger - Debugging assistance
/sparc-designer - UI/UX design mode
/sparc-documenter - Documentation creation
/sparc-innovator - Innovation and R&D
/sparc-orchestrator - Workflow orchestration
/sparc-batch-executor - Batch operations
/sparc-memory-manager - Memory management
/sparc-workflow-manager - Workflow management
/sparc-swarm-coordinator - Swarm coordination

GitHub Integration (18)

/github-code-review - Automated code reviews
/github-code-review-swarm - Multi-agent reviews
/github-pr-manager - PR lifecycle management
/github-pr-enhance - PR enhancement automation
/github-issue-tracker - Issue tracking
/github-issue-triage - Intelligent issue triage
/github-repo-analyze - Repository analysis
/github-repo-architect - Repo structure optimization
/github-release-manager - Release coordination
/github-release-swarm - Multi-package releases
/github-workflow-automation - GitHub Actions automation
/github-swarm-pr - PR swarm management
/github-swarm-issue - Issue swarm coordination
/github-multi-repo-swarm - Cross-repo coordination
/github-sync-coordinator - Version synchronization
/github-project-board-sync - Project board integration
/github-modes - GitHub integration modes
/github-swarm - GitHub swarm orchestration

Hive Mind (11)

/hive-mind - Initialize hive mind coordination
/hive-mind-init - Setup hive mind topology
/hive-mind-spawn - Spawn hive agents
/hive-mind-status - Check hive status
/hive-mind-consensus - Consensus protocols
/hive-mind-memory - Shared memory management
/hive-mind-metrics - Performance metrics
/hive-mind-sessions - Session management
/hive-mind-resume - Resume hive sessions
/hive-mind-stop - Stop hive coordination
/hive-mind-wizard - Guided setup wizard

Memory Management (5)

/memory-usage - Memory storage and retrieval
/memory-persist - Cross-session persistence
/memory-search - Pattern-based search
/memory-neural - Neural memory integration

Monitoring (5)

/monitoring-status - System status overview
/monitoring-agents - Agent status monitoring
/monitoring-agent-metrics - Performance metrics
/monitoring-swarm-monitor - Real-time swarm monitoring
/monitoring-real-time-view - Live dashboard

Optimization (5)

/optimization-topology-optimize - Auto-optimize topology
/optimization-auto-topology - Automatic topology selection
/optimization-parallel-execution - Parallel task execution
/optimization-parallel-execute - Execute tasks in parallel
/optimization-cache-manage - Cache management

Analysis (5)

/analysis-performance-report - Performance reports
/analysis-performance-bottlenecks - Bottleneck detection
/analysis-bottleneck-detect - Real-time bottleneck analysis
/analysis-token-usage - Token consumption analysis
/analysis-token-efficiency - Token optimization

Automation (6)

/automation-smart-spawn - Intelligent agent spawning
/automation-smart-agents - Auto-agent selection
/automation-auto-agent - Automated agent management
/automation-self-healing - Self-healing workflows
/automation-session-memory - Session persistence
/automation-workflow-select - Workflow selection

Hooks (7)

/hooks-setup - Configure hooks system
/hooks-overview - Hooks documentation
/hooks-pre-task - Pre-task hook setup
/hooks-post-task - Post-task hook setup
/hooks-pre-edit - Pre-edit hook setup
/hooks-post-edit - Post-edit hook setup
/hooks-session-end - Session end hook setup

Swarm Management (15)

/swarm - Main swarm command
/swarm-init - Initialize swarm
/swarm-spawn - Spawn swarm agents
/swarm-status - Swarm status
/swarm-monitor - Real-time monitoring
/swarm-modes - Available swarm modes
/swarm-strategies - Execution strategies
/swarm-background - Background swarm execution
/swarm-analysis - Swarm analysis workflows
/swarm-research - Research swarms
/swarm-development - Development swarms
/swarm-testing - Testing swarms
/swarm-maintenance - Maintenance swarms
/swarm-optimization - Optimization swarms
/swarm-examples - Swarm examples

Workflows (5)

/workflows-create - Create custom workflows
/workflows-execute - Execute workflows
/workflows-export - Export workflow definitions
/workflows-development - Development workflows
/workflows-research - Research workflows

Neural Training (5)

/training-neural-train - Train neural patterns
/training-neural-patterns - Pattern management
/training-pattern-learn - Pattern learning
/training-model-update - Model updates
/training-specialization - Agent specialization

Flow Nexus (9)

/flow-nexus-swarm - Cloud swarm orchestration
/flow-nexus-workflow - Event-driven workflows
/flow-nexus-neural-network - Distributed neural training
/flow-nexus-sandbox - E2B sandbox management
/flow-nexus-app-store - Application marketplace
/flow-nexus-challenges - Coding challenges
/flow-nexus-payments - Credit management
/flow-nexus-user-tools - User management
/flow-nexus-login - Authentication

And 50+ more commands!

🚀 Quick Start

1. Install Claude Code Plugin

In Claude Code:

/plugin add ruvnet/claude-flow

Or from local directory:

bash

git clone https://github.com/ruvnet/claude-flow.git
cd claude-flow

Then in Claude Code:

/plugin add .

2. Restart Claude Code

/restart

3. Configure MCP Servers (Optional)

bash

# Add MCP servers to Claude Code
claude mcp add claude-flow npx claude-flow@alpha mcp start
claude mcp add ruv-swarm npx ruv-swarm mcp start  # Optional
claude mcp add flow-nexus npx flow-nexus@latest mcp start  # Optional

4. Verify Installation

bash

# Check plugin status
claude plugin list

# Test a command
# In Claude Code, type:
/coordination-swarm-init

📦 Installation

Prerequisites

Claude Code CLI >= 2.0.0
Node.js >= 20.0.0
Git (for GitHub integration features)
Read/write permissions in project directory

Method 1: Direct Installation (Recommended)

In Claude Code:

/plugin add ruvnet/claude-flow
/restart

Method 2: Local Installation

bash

# Clone the repository
git clone https://github.com/ruvnet/claude-flow.git
cd claude-flow/claude-plugin

# Run installation script
bash scripts/install.sh

# Or copy manually
cp -r commands ~/.claude/commands/
cp -r agents ~/.claude/agents/

Method 3: NPX (One-Time Setup)

bash

# Run setup via npx
npx claude-flow@alpha init --plugin

# This will:
# 1. Create .claude directory
# 2. Copy all commands and agents
# 3. Configure MCP servers
# 4. Setup hooks

🏗️ Components

Directory Structure

claude-flow/
├── .claude-plugin/
│   ├── plugin.json          # Plugin metadata
│   ├── README.md            # This file
│   └── ...
├── commands/                 # 150+ slash commands
│   ├── coordination/         # Swarm coordination commands
│   ├── sparc/                # SPARC methodology commands
│   ├── github/               # GitHub integration commands
│   ├── hive-mind/            # Hive mind commands
│   ├── hooks/                # Hooks configuration commands
│   ├── memory/               # Memory management commands
│   ├── monitoring/           # Monitoring commands
│   ├── optimization/         # Optimization commands
│   ├── analysis/             # Analysis commands
│   ├── automation/           # Automation commands
│   ├── swarm/                # Swarm management commands
│   ├── workflows/            # Workflow commands
│   ├── training/             # Neural training commands
│   ├── flow-nexus/           # Flow Nexus integration
│   └── ...                   # And more!
├── agents/                   # 74+ specialized agents
│   ├── core/                 # Core development agents
│   ├── consensus/            # Consensus protocol agents
│   ├── github/               # GitHub automation agents
│   ├── swarm/                # Swarm coordination agents
│   ├── hive-mind/            # Hive mind agents
│   ├── sparc/                # SPARC methodology agents
│   ├── optimization/         # Optimization agents
│   ├── specialized/          # Domain-specific agents
│   ├── templates/            # Template agents
│   ├── testing/              # Testing agents
│   └── ...                   # And more!
├── hooks/                    # Hook scripts
│   ├── pre-tool-use.sh
│   ├── post-tool-use.sh
│   ├── pre-task.sh
│   ├── post-task.sh
│   ├── session-start.sh
│   └── session-end.sh
├── scripts/                  # Installation and setup scripts
│   ├── install.sh
│   ├── setup-mcp.sh
│   ├── verify.sh
│   └── uninstall.sh
└── docs/                     # Documentation
    ├── QUICKSTART.md
    ├── USER_GUIDE.md
    ├── API_REFERENCE.md
    ├── EXAMPLES.md
    └── TROUBLESHOOTING.md

💡 Usage

Basic Swarm Coordination

bash

# Initialize a hierarchical swarm
/coordination-swarm-init

# Spawn specialized agents
/coordination-agent-spawn

# Orchestrate a complex task
/coordination-task-orchestrate "Build REST API with authentication"

SPARC Development Workflow

bash

# Start with specification
/sparc-modes specification "User authentication system"

# Design architecture
/sparc-architect

# Implement with TDD
/sparc-tdd "Implement JWT authentication"

# Code review
/sparc-reviewer

# Optimize performance
/sparc-optimizer

GitHub Automation

bash

# Analyze repository
/github-repo-analyze

# Create PR with automated review
/github-pr-manager

# Multi-agent code review
/github-code-review-swarm

# Coordinate release across repos
/github-multi-repo-swarm

Hive Mind Coordination

bash

# Initialize hive mind
/hive-mind-init

# Spawn hive agents with consensus
/hive-mind-spawn

# Check consensus status
/hive-mind-consensus

# View shared memory
/hive-mind-memory

🔌 MCP Integration

Claude Flow integrates with 3 MCP servers providing 110+ tools:

Claude Flow MCP (Required)

json

{
  "mcpServers": {
    "claude-flow": {
      "command": "npx",
      "args": ["claude-flow@alpha", "mcp", "start"]
    }
  }
}

Tools: 40+ orchestration tools

Swarm initialization and management
Agent spawning and coordination
Task orchestration
Memory management
Neural training
Performance monitoring

ruv-swarm MCP (Optional)

json

{
  "mcpServers": {
    "ruv-swarm": {
      "command": "npx",
      "args": ["ruv-swarm", "mcp", "start"]
    }
  }
}

Tools: Enhanced coordination features

WASM acceleration (2.8-4.4x speed)
SIMD optimization
Advanced topology management
Byzantine fault tolerance

Flow Nexus MCP (Optional - Requires Auth)

json

{
  "mcpServers": {
    "flow-nexus": {
      "command": "npx",
      "args": ["flow-nexus@latest", "mcp", "start"]
    }
  }
}

Tools: 70+ cloud features

E2B sandbox execution
Distributed neural training
Event-driven workflows
Application marketplace
Real-time collaboration

📚 Examples

Example 1: Full-Stack Development with Swarm

bash

# Initialize hierarchical swarm
/coordination-swarm-init

# The swarm automatically spawns:
# - backend-dev agent
# - coder agent for frontend
# - tester agent
# - reviewer agent

# Orchestrate the full-stack build
/coordination-task-orchestrate "Build a todo app with React frontend and Express backend"

# Monitor progress
/monitoring-swarm-monitor

# Get performance metrics
/analysis-performance-report

Example 2: SPARC TDD Workflow

bash

# Start with specification
/sparc-modes specification "Shopping cart with inventory management"

# Generate pseudocode
/sparc-modes pseudocode

# Design architecture
/sparc-architect

# TDD implementation
/sparc-tdd

# Automated review
/sparc-reviewer

# Performance optimization
/sparc-optimizer

Example 3: GitHub PR Automation

bash

# Analyze current PR
/github-pr-manager

# Multi-agent code review
/github-code-review-swarm

# Auto-fix issues
/github-pr-enhance

# Sync across repositories
/github-sync-coordinator

# Prepare release
/github-release-manager

📖 Documentation

Quickstart Guide - Get started in 5 minutes
User Guide - Complete usage documentation
API Reference - All commands and agents
Examples - Real-world usage examples
Troubleshooting - Common issues and solutions

🤝 Support

Documentation: GitHub Wiki
Issues: GitHub Issues
Discussions: GitHub Discussions
Website: Flow Nexus

📊 Performance

84.8% SWE-Bench solve rate
32.3% token reduction vs. sequential execution
2.8-4.4x speed improvement with WASM acceleration
27+ neural models for pattern recognition
100 max concurrent agents

🔧 Advanced Configuration

Custom Swarm Topology

json

{
  "swarmCoordination": {
    "topology": "mesh",
    "maxAgents": 50,
    "autoSpawn": true,
    "autoOptimize": true
  }
}

Enable Neural Training

json

{
  "neuralTraining": {
    "enabled": true,
    "wasmAcceleration": true,
    "simdOptimization": true
  }
}

Configure Hooks

json

{
  "hooks": {
    "PreToolUse": { "enabled": true },
    "PostToolUse": { "enabled": true },
    "SessionEnd": { "enabled": true }
  }
}

📝 License

MIT License - see LICENSE file for details

🌟 Star History

Made with ❤️ by rUv

Enterprise AI Agent Orchestration for Claude Code