📖 Claude-Flow User Guide

Complete Practical Guide for Claude-Flow v2.0.0

Welcome to the comprehensive user guide for Claude-Flow! This document provides everything you need to get started and master the platform, from basic installation to advanced swarm coordination.

📋 Table of Contents

Getting Started
Basic Concepts
Common Workflows
Step-by-Step Tutorials
Configuration Guide
Troubleshooting
Performance Optimization
Integrations
FAQ

🚀 Getting Started

Prerequisites

Before starting with Claude-Flow, ensure you have:

Node.js ≥ 20.0.0 (Download)
npm ≥ 9.0.0 (comes with Node.js)
Claude Code (Setup guide)
API Keys for your preferred AI providers

Quick Installation

bash

# Option 1: Use npx (recommended for first-time users)
npx claude-flow@alpha --help

# Option 2: Global installation
npm install -g claude-flow@alpha

# Option 3: Project-specific installation
npm install claude-flow@alpha

Initial Setup

bash

# Initialize Claude-Flow in your project
npx claude-flow@alpha init --force

# Verify installation
npx claude-flow@alpha version

# Run health check
npx claude-flow@alpha health

First Command

Try your first Claude-Flow command:

bash

# Simple task execution
npx claude-flow@alpha swarm "create a simple Hello World application"

🧠 Basic Concepts

Core Components

1. Agents

AI-powered workers that perform specific tasks:

54+ specialized agents available
Each agent has unique capabilities
Can work independently or in coordination

2. Swarms

Groups of agents working together:

Multiple coordination topologies
Distributed decision-making
Fault-tolerant operations

3. Memory System

Persistent knowledge storage:

Shared across agents
Multiple storage backends
Automatic synchronization

4. MCP Integration

Model Context Protocol tools:

87 available tools
Seamless Claude Code integration
Real-time coordination

Agent Types Overview

Category	Examples	Use Cases
Development	`coder`, `reviewer`, `tester`	Code implementation, quality assurance
Architecture	`architect`, `planner`	System design, project planning
Specialized	`backend-dev`, `mobile-dev`, `ml-developer`	Domain-specific development
Coordination	`coordinator`, `monitor`	Task management, progress tracking
Analysis	`researcher`, `analyzer`	Information gathering, code analysis

Swarm Topologies

Centralized (Queen-Led)

      👑 Queen
    /   |   \
   🐝  🐝   🐝

Single coordination point
Simple communication
Best for sequential tasks

Distributed (Multi-Leader)

   👑 --- 👑
   /\     /\
  🐝 🐝  🐝 🐝

Multiple coordination points
Load distribution
Fault tolerance

Mesh (Peer-to-Peer)

   🐝 ─── 🐝
   │ ╲   ╱ │
   │   ╳   │
   │ ╱   ╲ │
   🐝 ─── 🐝

Direct agent communication
Creative collaboration
No single point of failure

Hierarchical (Tree)

       👑
      /  \
     🐝   🐝
    / \   / \
   🐝 🐝 🐝 🐝

Multi-level structure
Scalable organization
Complex project coordination

💼 Common Workflows

Development Workflows

1. Simple Task Execution

For straightforward development tasks:

bash

# Code generation
npx claude-flow@alpha swarm "create a REST API for user management"

# Bug fixing
npx claude-flow@alpha swarm "fix all TypeScript errors in the project"

# Documentation
npx claude-flow@alpha swarm "generate comprehensive API documentation"

# Testing
npx claude-flow@alpha swarm "create unit tests for all service classes"

2. Project-Based Development

For larger projects requiring coordination:

bash

# Initialize project swarm
npx claude-flow@alpha hive-mind spawn "e-commerce platform" \
  --agents architect,backend-dev,frontend-dev,tester \
  --topology hierarchical

# Continue development in same session
npx claude-flow@alpha swarm "implement user authentication" --continue-session

# Add new features
npx claude-flow@alpha swarm "add payment processing integration"

# Monitor progress
npx claude-flow@alpha swarm status --watch

3. SPARC Development Methodology

Structured development using Specification → Pseudocode → Architecture → Refinement → Code:

bash

# Full SPARC pipeline
npx claude-flow@alpha sparc pipeline "user management system"

# Individual SPARC phases
npx claude-flow@alpha sparc spec "define requirements for authentication"
npx claude-flow@alpha sparc architecture "design microservices structure"
npx claude-flow@alpha sparc code "implement user service"

# Test-driven development
npx claude-flow@alpha sparc tdd "payment processing module"

Operational Workflows

1. Code Review and Quality

bash

# Comprehensive code review
npx claude-flow@alpha swarm "perform security audit and code review" \
  --agents security-analyst,reviewer,code-quality-checker

# Performance optimization
npx claude-flow@alpha swarm "analyze and optimize application performance" \
  --agents performance-analyst,optimizer

2. DevOps and Deployment

bash

# CI/CD setup
npx claude-flow@alpha swarm "setup complete CI/CD pipeline" \
  --agents devops-engineer,cicd-specialist

# Container deployment
npx claude-flow@alpha swarm "containerize application with Docker" \
  --agents docker-specialist,devops-engineer

# Kubernetes deployment
npx claude-flow@alpha swarm "deploy to Kubernetes cluster" \
  --agents k8s-specialist,devops-engineer

3. Documentation and Maintenance

bash

# Generate documentation
npx claude-flow@alpha swarm "create comprehensive project documentation" \
  --agents technical-writer,api-docs-generator

# Code maintenance
npx claude-flow@alpha swarm "refactor legacy code and improve maintainability" \
  --agents refactoring-specialist,code-quality-checker

📚 Step-by-Step Tutorials

Tutorial 1: Building Your First API

Step 1: Initialize Project

bash

# Create new directory
mkdir my-api-project
cd my-api-project

# Initialize Claude-Flow
npx claude-flow@alpha init --force

# Initialize npm project
npm init -y

Step 2: Define Requirements

bash

# Use SPARC specification mode
npx claude-flow@alpha sparc spec "REST API for task management with CRUD operations, authentication, and data validation"

Step 3: Create Architecture

bash

# Generate system architecture
npx claude-flow@alpha sparc architecture "Node.js Express API with PostgreSQL database, JWT authentication, and comprehensive error handling"

Step 4: Implement Code

bash

# Generate implementation
npx claude-flow@alpha sparc code "implement the complete task management API based on the architecture"

Step 5: Add Tests

bash

# Create comprehensive tests
npx claude-flow@alpha swarm "create unit tests, integration tests, and API endpoint tests" \
  --agents tester,test-automation-specialist

Step 6: Setup DevOps

bash

# Add CI/CD and deployment
npx claude-flow@alpha swarm "setup GitHub Actions CI/CD and Docker deployment" \
  --agents devops-engineer,cicd-specialist

Tutorial 2: Complex Project with Multiple Agents

Step 1: Project Planning

bash

# Initialize large project swarm
npx claude-flow@alpha hive-mind spawn "full-stack social media application" \
  --agents architect,planner,backend-dev,frontend-dev,mobile-dev,tester,devops-engineer \
  --topology hierarchical \
  --max-agents 12

Step 2: Architecture Design

bash

# Create comprehensive architecture
npx claude-flow@alpha swarm "design microservices architecture with event-driven communication" \
  --agents system-architect,backend-architect,frontend-architect

Step 3: Backend Development

bash

# Develop backend services
npx claude-flow@alpha swarm "implement user service, post service, and notification service" \
  --agents backend-dev,api-developer,database-specialist

Step 4: Frontend Development

bash

# Create frontend applications
npx claude-flow@alpha swarm "build React web app and React Native mobile app" \
  --agents frontend-dev,mobile-dev,ui-ux-specialist

Step 5: Testing and Quality Assurance

bash

# Comprehensive testing
npx claude-flow@alpha swarm "create automated test suites and perform security audit" \
  --agents tester,security-analyst,qa-specialist

Step 6: Deployment and Monitoring

bash

# Deploy and monitor
npx claude-flow@alpha swarm "deploy to cloud and setup monitoring" \
  --agents devops-engineer,cloud-specialist,monitoring-specialist

Tutorial 3: SPARC Test-Driven Development

Step 1: Define Feature Requirements

bash

# Start TDD cycle
npx claude-flow@alpha sparc tdd "user authentication with email verification" \
  --test-framework jest \
  --coverage 95

Step 2: Write Tests First

bash

# Create test specifications
npx claude-flow@alpha swarm "write comprehensive test cases for authentication flow" \
  --agents test-architect,tdd-specialist

Step 3: Implement Minimal Code

bash

# Implement just enough to pass tests
npx claude-flow@alpha sparc code "implement minimal authentication logic to pass tests"

Step 4: Refactor and Optimize

bash

# Improve implementation
npx claude-flow@alpha sparc refinement "optimize authentication performance and security"

Step 5: Add Integration Tests

bash

# Create integration tests
npx claude-flow@alpha swarm "add integration tests for complete authentication flow" \
  --agents integration-tester,api-tester

⚙️ Configuration Guide

Basic Configuration

Environment Variables

bash

# Core settings
export CLAUDE_FLOW_DEBUG=true
export CLAUDE_FLOW_LOG_LEVEL=info
export CLAUDE_FLOW_DATA_DIR=./data
export CLAUDE_FLOW_MAX_AGENTS=50

# API configuration
export CLAUDE_API_KEY="your_claude_api_key"
export OPENAI_API_KEY="your_openai_api_key"
export ANTHROPIC_API_KEY="your_anthropic_api_key"

# Performance tuning
export CLAUDE_FLOW_MEMORY_LIMIT=1024
export CLAUDE_FLOW_TIMEOUT=300000
export CLAUDE_FLOW_CONCURRENT_TASKS=10

Configuration File

Create .claude-flow.json in your project root:

json

{
  "orchestrator": {
    "maxConcurrentAgents": 100,
    "taskQueueSize": 1000,
    "defaultTopology": "mesh",
    "autoScaling": true,
    "timeoutMs": 300000
  },
  "memory": {
    "backend": "sqlite",
    "cacheSizeMB": 512,
    "compressionEnabled": true,
    "retentionDays": 30,
    "indexingEnabled": true
  },
  "providers": {
    "anthropic": {
      "apiKey": "${CLAUDE_API_KEY}",
      "model": "claude-3-sonnet",
      "temperature": 0.7,
      "maxTokens": 4096
    },
    "openai": {
      "apiKey": "${OPENAI_API_KEY}",
      "model": "gpt-4",
      "temperature": 0.7,
      "maxTokens": 4096
    }
  },
  "agents": {
    "defaultAgent": "coder",
    "agentProfiles": {
      "development": ["coder", "reviewer", "tester"],
      "architecture": ["architect", "planner", "system-designer"],
      "devops": ["devops-engineer", "docker-specialist", "k8s-specialist"]
    }
  },
  "swarm": {
    "defaultTopology": "mesh",
    "coordinationStrategy": "democratic",
    "faultTolerance": true,
    "loadBalancing": true
  },
  "hooks": {
    "enabled": true,
    "autoFormat": true,
    "notifications": true,
    "preTaskHooks": ["backup", "validation"],
    "postTaskHooks": ["cleanup", "metrics"]
  },
  "security": {
    "validateInputs": true,
    "sanitizeOutputs": true,
    "encryptMemory": true,
    "auditLogging": true
  },
  "performance": {
    "cacheEnabled": true,
    "compressionEnabled": true,
    "parallelExecution": true,
    "resourceLimits": {
      "maxMemoryMB": 2048,
      "maxCpuPercent": 80
    }
  }
}

Advanced Configuration

Agent Profiles

Define custom agent combinations for specific use cases:

json

{
  "agentProfiles": {
    "web-development": {
      "agents": ["frontend-dev", "backend-dev", "fullstack-dev"],
      "topology": "hierarchical",
      "coordination": "leader-follower"
    },
    "data-science": {
      "agents": ["ml-developer", "data-analyst", "python-specialist"],
      "topology": "mesh",
      "coordination": "collaborative"
    },
    "enterprise-security": {
      "agents": ["security-analyst", "penetration-tester", "compliance-checker"],
      "topology": "centralized",
      "coordination": "expert-led"
    }
  }
}

Custom Memory Configuration

json

{
  "memory": {
    "backends": {
      "primary": {
        "type": "sqlite",
        "path": "./data/memory.db",
        "compression": true
      },
      "cache": {
        "type": "redis",
        "host": "localhost",
        "port": 6379,
        "ttl": 3600
      },
      "backup": {
        "type": "s3",
        "bucket": "claude-flow-backup",
        "region": "us-east-1"
      }
    },
    "synchronization": {
      "strategy": "eventual-consistency",
      "conflictResolution": "last-write-wins",
      "replicationFactor": 3
    }
  }
}

Performance Optimization Settings

json

{
  "performance": {
    "optimization": {
      "agentPooling": true,
      "connectionReuse": true,
      "batchProcessing": true,
      "asyncExecution": true
    },
    "monitoring": {
      "metricsEnabled": true,
      "tracingEnabled": true,
      "profilingEnabled": false,
      "alerting": {
        "cpu": 90,
        "memory": 85,
        "diskSpace": 80
      }
    },
    "scaling": {
      "autoScale": true,
      "minAgents": 2,
      "maxAgents": 50,
      "scaleUpThreshold": 80,
      "scaleDownThreshold": 30
    }
  }
}

MCP Server Configuration

Basic MCP Setup

bash

# Start MCP server
npx claude-flow@alpha mcp start --port 3000

# Configure MCP tools
npx claude-flow@alpha mcp config --tools all

# Add custom MCP server
npx claude-flow@alpha mcp add-server \
  --name "custom-tools" \
  --command "node custom-mcp-server.js"

MCP Integration with Claude Code

bash

# Add Claude-Flow MCP server to Claude Code
claude mcp add claude-flow npx claude-flow@alpha mcp start

# List available MCP tools
npx claude-flow@alpha mcp tools --list

# Test MCP connection
npx claude-flow@alpha mcp test --tool swarm_init

🔧 Troubleshooting

Common Issues and Solutions

Installation Issues

Issue: npm install fails with permission errors

bash

# Solution 1: Use npx instead
npx claude-flow@alpha --help

# Solution 2: Fix npm permissions
npm config set prefix ~/.npm-global
export PATH=~/.npm-global/bin:$PATH

# Solution 3: Use node version manager
nvm install 20
nvm use 20

Issue: SQLite compilation fails

bash

# Solution 1: Install build tools
# On Ubuntu/Debian:
sudo apt-get install build-essential python3

# On macOS:
xcode-select --install

# On Windows:
npm install --global windows-build-tools

# Solution 2: Use prebuilt binaries
npm install --no-optional

Runtime Issues

Issue: "Agent not found" error

bash

# Check available agents
npx claude-flow@alpha agents list

# Verify agent spelling
npx claude-flow@alpha agents info coder

# Use default agent if uncertain
npx claude-flow@alpha swarm "your task" --agent coder

Issue: Memory-related errors

bash

# Check memory usage
npx claude-flow@alpha memory stats

# Clear memory cache
npx claude-flow@alpha memory clear --cache

# Optimize memory settings
npx claude-flow@alpha config set memory.cacheSizeMB 256

Issue: API rate limiting

bash

# Check API status
npx claude-flow@alpha health --api

# Configure rate limiting
npx claude-flow@alpha config set providers.anthropic.rateLimit 60

# Use multiple providers
npx claude-flow@alpha config set providers.fallback openai

Performance Issues

Issue: Slow task execution

bash

# Run diagnostics
npx claude-flow@alpha diagnostics --performance

# Optimize configuration
npx claude-flow@alpha optimize --auto

# Monitor real-time performance
npx claude-flow@alpha monitor --interval 5s

Issue: High memory usage

bash

# Check memory breakdown
npx claude-flow@alpha memory analyze

# Enable compression
npx claude-flow@alpha config set memory.compressionEnabled true

# Reduce cache size
npx claude-flow@alpha config set memory.cacheSizeMB 128

Debug Mode

Enable detailed logging for troubleshooting:

bash

# Enable debug mode
export CLAUDE_FLOW_DEBUG=true
export CLAUDE_FLOW_LOG_LEVEL=debug

# Run with verbose output
npx claude-flow@alpha swarm "your task" --verbose

# Generate diagnostic report
npx claude-flow@alpha diagnostics --full --output debug-report.json

Log Analysis

bash

# View recent logs
npx claude-flow@alpha logs --tail 100

# Filter logs by level
npx claude-flow@alpha logs --level error

# Search logs
npx claude-flow@alpha logs --grep "swarm"

# Export logs
npx claude-flow@alpha logs --export logs.json

Health Checks

bash

# Comprehensive health check
npx claude-flow@alpha health --comprehensive

# Check specific components
npx claude-flow@alpha health --component memory
npx claude-flow@alpha health --component agents
npx claude-flow@alpha health --component mcp

# Automated health monitoring
npx claude-flow@alpha health --monitor --interval 60s

🚀 Performance Optimization

System Optimization

Hardware Recommendations

Component	Minimum	Recommended	Optimal
CPU	2 cores	4 cores	8+ cores
RAM	4 GB	8 GB	16+ GB
Storage	1 GB free	5 GB free	20+ GB SSD
Network	1 Mbps	10 Mbps	100+ Mbps

Memory Optimization

bash

# Configure memory limits
npx claude-flow@alpha config set memory.cacheSizeMB 512
npx claude-flow@alpha config set memory.maxMemoryMB 2048

# Enable compression
npx claude-flow@alpha config set memory.compressionEnabled true
npx claude-flow@alpha config set memory.indexingEnabled true

# Set retention policies
npx claude-flow@alpha config set memory.retentionDays 30
npx claude-flow@alpha config set memory.autoCleanup true

Agent Pool Optimization

bash

# Configure agent pools
npx claude-flow@alpha config set orchestrator.maxConcurrentAgents 50
npx claude-flow@alpha config set orchestrator.agentPoolSize 20

# Enable auto-scaling
npx claude-flow@alpha config set swarm.autoScaling true
npx claude-flow@alpha config set swarm.minAgents 2
npx claude-flow@alpha config set swarm.maxAgents 100

Task Optimization

Batch Processing

bash

# Process multiple tasks in parallel
npx claude-flow@alpha swarm batch \
  "create user service" \
  "create product service" \
  "create order service" \
  --parallel

# Use agent profiles for efficiency
npx claude-flow@alpha swarm "build microservices" \
  --profile backend-development \
  --optimize-for speed

Caching Strategy

bash

# Enable aggressive caching
npx claude-flow@alpha config set performance.cacheEnabled true
npx claude-flow@alpha config set performance.cacheStrategy aggressive

# Pre-warm caches
npx claude-flow@alpha cache warm --agents common
npx claude-flow@alpha cache warm --tools frequent

Network Optimization

bash

# Configure connection pooling
npx claude-flow@alpha config set network.connectionPooling true
npx claude-flow@alpha config set network.maxConnections 100

# Enable compression
npx claude-flow@alpha config set network.compressionEnabled true
npx claude-flow@alpha config set network.timeout 30000

Monitoring and Metrics

bash

# Real-time performance monitoring
npx claude-flow@alpha monitor --dashboard

# Generate performance report
npx claude-flow@alpha performance report --period 7d

# Set up performance alerts
npx claude-flow@alpha alerts configure \
  --cpu-threshold 80 \
  --memory-threshold 85 \
  --response-time-threshold 5000

🔗 Integrations

GitHub Integration

Setup

bash

# Initialize GitHub integration
npx claude-flow@alpha github init --token YOUR_GITHUB_TOKEN

# Configure repository
npx claude-flow@alpha github config \
  --repo "username/repository" \
  --default-branch main

Common GitHub Workflows

bash

# Pull Request Management
npx claude-flow@alpha github pr-manager \
  "review and merge pending PRs" \
  --auto-merge \
  --require-reviews 2

# Issue Management
npx claude-flow@alpha github issue-tracker \
  "analyze and categorize open issues" \
  --auto-label \
  --assign-to-team

# Release Management
npx claude-flow@alpha github release-manager \
  "prepare v2.1.0 release" \
  --generate-changelog \
  --create-release-notes

Advanced GitHub Features

bash

# Automated code review
npx claude-flow@alpha github code-review \
  --pr-number 123 \
  --agents security-analyst,code-reviewer \
  --auto-comment

# Repository analysis
npx claude-flow@alpha github analyze-repo \
  --metrics code-quality,security,performance \
  --generate-report

Docker Integration

Container Management

bash

# Containerize application
npx claude-flow@alpha docker containerize \
  --app-type node \
  --multi-stage \
  --optimize-size

# Build and push images
npx claude-flow@alpha docker build-push \
  --registry docker.io \
  --tags latest,v2.0.0

# Container orchestration
npx claude-flow@alpha docker compose \
  --services api,database,redis \
  --environment production

Kubernetes Integration

Cluster Management

bash

# Deploy to Kubernetes
npx claude-flow@alpha k8s deploy \
  --cluster production \
  --namespace default \
  --replicas 3

# Manage services
npx claude-flow@alpha k8s services \
  "setup load balancer and ingress" \
  --ssl-enabled \
  --auto-scaling

# Monitor cluster
npx claude-flow@alpha k8s monitor \
  --real-time \
  --alerts \
  --dashboard

CI/CD Integration

GitHub Actions

bash

# Setup CI/CD pipeline
npx claude-flow@alpha cicd github-actions \
  "create complete CI/CD workflow" \
  --tests \
  --security-scan \
  --deploy-staging

# Custom workflows
npx claude-flow@alpha cicd custom \
  --provider github-actions \
  --stages "lint,test,build,deploy" \
  --environments "staging,production"

Jenkins Integration

bash

# Jenkins pipeline
npx claude-flow@alpha cicd jenkins \
  "setup Jenkins pipeline with parallel stages" \
  --agents 4 \
  --parallel-tests

Cloud Platform Integration

AWS Integration

bash

# Deploy to AWS
npx claude-flow@alpha aws deploy \
  --service ecs \
  --region us-east-1 \
  --auto-scaling

# Infrastructure as Code
npx claude-flow@alpha aws infrastructure \
  "create complete AWS infrastructure" \
  --terraform \
  --best-practices

Azure Integration

bash

# Azure deployment
npx claude-flow@alpha azure deploy \
  --service app-service \
  --resource-group production \
  --scaling-rules

Google Cloud Integration

bash

# GCP deployment
npx claude-flow@alpha gcp deploy \
  --service cloud-run \
  --region us-central1 \
  --auto-scaling

❓ FAQ

General Questions

Q: What is Claude-Flow? A: Claude-Flow is an enterprise-grade AI agent orchestration platform that enables distributed AI development through swarm intelligence, featuring 54+ specialized agents and 87 MCP tools.

Q: How is Claude-Flow different from other AI tools? A: Claude-Flow provides true multi-agent coordination with swarm intelligence, persistent memory management, and enterprise-grade features like security, monitoring, and scalability.

Q: Do I need Claude Code to use Claude-Flow? A: While Claude-Flow can work independently, Claude Code integration provides the best experience with full MCP protocol support and seamless agent coordination.

Installation and Setup

Q: Which Node.js version should I use? A: Claude-Flow requires Node.js ≥ 20.0.0. We recommend using the latest LTS version for best performance and security.

Q: Can I use Claude-Flow without global installation? A: Yes! Using npx claude-flow@alpha is actually recommended as it always uses the latest version without requiring global installation.

Q: How do I handle API key configuration? A: Set your API keys as environment variables or in the .claude-flow.json configuration file. Never commit API keys to version control.

Usage and Functionality

Q: How many agents can I run simultaneously? A: By default, Claude-Flow can handle up to 100 concurrent agents. This can be configured based on your system resources and API limits.

Q: Can I create custom agents? A: Currently, Claude-Flow provides 54+ pre-built agents. Custom agent creation is planned for a future release.

Q: How does the memory system work? A: Claude-Flow uses a distributed memory system with SQLite backend by default. Memory is automatically synchronized across agents and persists between sessions.

Q: What swarm topology should I choose? A:

Mesh: Best for creative collaboration and fault tolerance
Hierarchical: Ideal for large, structured projects
Centralized: Good for simple, sequential tasks
Distributed: Perfect for parallel processing with load balancing

Performance and Optimization

Q: How can I improve task execution speed? A: Enable parallel processing, use appropriate swarm topologies, configure caching, and ensure adequate system resources.

Q: What should I do if I hit API rate limits? A: Configure multiple providers, adjust rate limiting settings, or implement request batching and queuing.

Q: How much disk space does Claude-Flow use? A: Base installation requires ~100MB. Memory database and cache can grow based on usage, typically 10-100MB for most projects.

Integration and Compatibility

Q: Can Claude-Flow work with my existing CI/CD pipeline? A: Yes, Claude-Flow provides integrations for GitHub Actions, Jenkins, and other CI/CD platforms.

Q: Is Claude-Flow compatible with Docker and Kubernetes? A: Absolutely! Claude-Flow includes specialized agents for Docker containerization and Kubernetes orchestration.

Q: Can I use Claude-Flow in enterprise environments? A: Yes, Claude-Flow is designed for enterprise use with security features, audit logging, and scalable architecture.

Troubleshooting

Q: What should I do if an agent fails? A: Claude-Flow includes automatic fault recovery. You can also check logs with npx claude-flow@alpha logs and restart failed tasks.

Q: How do I debug performance issues? A: Use the built-in diagnostics: npx claude-flow@alpha diagnostics --performance and monitor real-time metrics.

Q: Where can I get help if I'm stuck? A: Check this guide, review the comprehensive documentation, search GitHub issues, or join our Discord community.

Advanced Features

Q: How does SPARC methodology work? A: SPARC (Specification → Pseudocode → Architecture → Refinement → Code) is a structured development methodology that ensures thorough planning and high-quality implementation.

Q: Can I use Claude-Flow for machine learning projects? A: Yes! Claude-Flow includes specialized ML agents for model development, training, and deployment.

Q: How secure is Claude-Flow? A: Claude-Flow includes enterprise-grade security features including input validation, data encryption, audit logging, and role-based access control.

📞 Support and Community

Getting Help

📖 Documentation: Complete Documentation
💬 Discord Community: Join Discord
🐛 Issue Tracker: GitHub Issues
📧 Email Support: [email protected]

Contributing

We welcome contributions! Please see our Contributing Guide for details on:

🐛 Bug reports and fixes
✨ Feature requests and implementations
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Claude-Flow User Guide v2.0.0

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