🌊 Claude-Flow: AI Agent Orchestration Platform

Orchestrate parallel AI agents with persistent memory and enterprise-grade reliability

Get Started • Features • Docs • Examples

🚀 Quick Start

# 1. Install Claude Code (required)
npm install -g @anthropic-ai/claude-code

# 2. Initialize Claude-Flow
npx -y claude-flow@latest init --sparc

# 3. Start orchestrating
./claude-flow sparc "build my application"

🎯 Why Claude-Flow?

Claude-Flow transforms how you work with AI by enabling:

• 🐝 Parallel AI Agents - Run multiple Claude instances simultaneously without timeouts
• 🧠 Persistent Memory - Agents share knowledge across sessions
• ⚡ SPARC Methodology - Systematic development from specification to completion
• 🤖 Autonomous Intelligence - Self-directing AI with 85%+ autonomous decision-making
• 🔒 Enterprise Ready - Production-grade security, monitoring, and compliance

📋 Core Capabilities

1. SPARC Development Workflow

# Orchestrate complete development cycle
./claude-flow sparc "build authentication system"

# Or run specific phases
./claude-flow sparc run architect "design microservices"
./claude-flow sparc run tdd "implement user auth"
./claude-flow sparc run security-review "audit endpoints"

2. Swarm Orchestration

# Deploy specialized agent teams
./claude-flow swarm "Build REST API" --strategy development --monitor
./claude-flow swarm "Research AI trends" --strategy research --ui

3. Memory Management

# Store and query persistent knowledge
./claude-flow memory store insights "API uses JWT with refresh tokens"
./claude-flow memory query "authentication approach"

4. TaskMaster AI Project Management 🆕

# Initialize TaskMaster with autonomous features
./claude-flow taskmaster init --with-ai --enterprise --autonomous

# Natural language project creation
./claude-flow taskmaster intent process "Create mobile app project with 8 developers, 
  $500k budget, 6 months timeline, iOS/Android support"

# Start autonomous management
./claude-flow taskmaster autonomous start --project PROJECT-123 --autonomy 0.8

🎯 Example Workflows

Feature Development with SPARC

# Complete feature with SPARC methodology
./claude-flow sparc "implement payment processing"

# Monitor progress
./claude-flow monitor

Autonomous Project Management

# Generate tasks from requirements
./claude-flow taskmaster generate-from-prd requirements.md \
  --ai-enhanced --sparc-mapping --assign-agents

# Enable autonomous operations
./claude-flow taskmaster autonomous start --learning
./claude-flow taskmaster self-improve start
./claude-flow taskmaster global-sync start

# Monitor autonomous decisions
./claude-flow taskmaster autonomous decisions --detailed

Predictive Intelligence

# Project success prediction
./claude-flow taskmaster predict project-success PROJECT-123 \
  --horizon quarters --scenarios

# Resource demand forecasting
./claude-flow taskmaster predict resource-demand \
  --organization ORG-456 --timeframe quarters

# Risk assessment
./claude-flow taskmaster predict risks PROJECT-789 \
  --categories "technical,schedule,budget"

Team Collaboration

# Create collaboration session
./claude-flow taskmaster collaboration session create PROJECT-123 \
  --max-users 10 --conflict-mode ai-assisted

# Real-time team analytics
./claude-flow taskmaster analytics team TEAM-456 \
  --timeframe 90 --benchmarks

Enterprise Integration

# Setup bidirectional Jira sync
./claude-flow taskmaster integrations setup jira \
  --bidirectional --ai-mapping --webhook

# Sync with GitHub
./claude-flow taskmaster integrations sync github \
  --direction bidirectional --resolve-conflicts

🛠️ Key Commands

Core Operations

• init --sparc - Initialize with SPARC development modes
• start --ui - Launch with interactive process manager
• sparc <task> - Run SPARC orchestration
• swarm <objective> - Deploy agent swarm

TaskMaster AI Features

• taskmaster init --autonomous - Setup autonomous AI management
• taskmaster intent process - Natural language commands
• taskmaster predict - AI-powered predictions
• taskmaster ml train - Custom ML model training
• taskmaster autonomous status - Monitor AI operations

System Management

• agent spawn <type> - Create specialized agent
• memory query <search> - Search knowledge base
• monitor - Real-time system monitoring
• status - System health check

Full CLI Reference →

🤖 TaskMaster Autonomous Features

Self-Directing Intelligence

# AI handles 85% of decisions autonomously
./claude-flow taskmaster autonomous start --autonomy 0.85

# View recent decisions
./claude-flow taskmaster autonomous decisions --detailed

Machine Learning Platform

# Train on your data
./claude-flow taskmaster ml train project-history.json \
  --model-type effort_estimation --privacy-mode

# Get predictions with explanations
./claude-flow taskmaster ml predict new-task.json \
  --model effort-v2 --explain

Global Synchronization

# Sub-500ms worldwide sync
./claude-flow taskmaster global-sync start
./claude-flow taskmaster global-sync status --regions

📈 Real-World Results

Enterprise Software (500 employees):

• Project delivery: 67% → 94% on-time ⬆️ 40%
• Budget accuracy: ±23% → ±5% variance ⬆️ 350%
• Team utilization: 68% → 89% ⬆️ 31%

Startup Team (25 people):

• Delivered MVP 2 weeks early
• Under budget by $43k
• Zero critical bugs in production

View Case Studies →

📖 Documentation

• Getting Started - Installation and first steps
• SPARC Methodology - Development workflow guide
• Swarm System - Multi-agent coordination
• TaskMaster Integration - AI project management
• CLI Reference - Complete command documentation

🚦 Latest Updates

• v1.0.53 - Autonomous AI project management with 85%+ decision automation
• v1.0.52 - Enterprise ML platform and real-time collaboration
• v1.0.51 - Multi-provider AI support (Anthropic, OpenAI, Google, etc.)

View Changelog →

🤝 Contributing

We welcome contributions! See Contributing Guide.

📄 License

MIT License - see LICENSE.