Claude-Flow v2 Alpha is an enterprise-grade AI orchestration platform that revolutionizes how developers build with AI. By combining hive-mind swarm intelligence, neural pattern recognition, and 87 advanced MCP tools, Claude-Flow enables unprecedented AI-powered development workflows.

• 🔍 NEW: Truth Verification System: Mandatory verification with 0.95 accuracy threshold
• 👥 NEW: Pair Programming Mode: Real-time collaborative development with continuous validation
• 🧠 NEW: Training Pipeline: Machine learning system that improves agent performance over time
• 🤖 64 Specialized AI Agents: Complete agent ecosystem across 16 categories
• 🐝 Hive-Mind Intelligence: Queen-led AI coordination with specialized worker agents
• ✨ NEW: Intelligent Automation: MLE-STAR workflow engine with smart agent spawning
• 🔗 NEW: Stream-JSON Chaining: Real-time agent-to-agent output piping for seamless coordination
• 🧠 Neural Networks: 27+ cognitive models with WASM SIMD acceleration
• 🔧 87 MCP Tools: Comprehensive toolkit for swarm orchestration, memory, and automation
• 🔄 Dynamic Agent Architecture (DAA): Self-organizing agents with fault tolerance
• 💾 SQLite Memory System: Persistent .swarm/memory.db with 12 specialized tables
• 🪝 Advanced Hooks System: Automated workflows with pre/post operation hooks
• 📊 GitHub Integration: 13 specialized agents for repository management
• 🎉 NEW: GitHub-Enhanced Init: Automatic GitHub releases for all checkpoints
• 📈 NEW: Benchmark System: Comprehensive performance testing with swarm-bench CLI
• ⚡ Performance: 84.8% SWE-Bench solve rate, 2.8-4.4x speed improvement

Initialize powerful AI modules with a single command:

# Initialize SAFLA Neural Module - Self-learning AI systems
npx claude-flow@alpha neural init
npx claude-flow@alpha neural init --force  # Overwrite existing

# Initialize GOAP Goal Module - Intelligent planning systems  
npx claude-flow@alpha goal init
npx claude-flow@alpha goal init --force    # Overwrite existing

• Neural Module: SAFLA self-aware systems with 4-tier memory, 172K+ ops/sec
• Goal Module: GOAP planning with A* pathfinding and adaptive replanning
• Ready-to-use agents for Claude Code (@agent-safla-neural, @agent-goal-planner)
• Complete configuration and documentation

Claude-Flow now enforces "truth is enforced, not assumed" with mandatory verification:

# Initialize project with verification
npx claude-flow@alpha init --verify  # Truth verification mode
npx claude-flow@alpha init --pair    # Pair programming mode
npx claude-flow@alpha init --verify --pair  # Combined mode

# Run verification system
npx claude-flow@alpha verify init strict     # 0.95 threshold, auto-rollback
npx claude-flow@alpha verify status          # Check system status

# Run verification
npx claude-flow@alpha verify verify task-123 --agent coder
npx claude-flow@alpha truth                  # View truth scores

# Pair programming with real-time verification
npx claude-flow@alpha pair --start           # Start collaborative session

Key Verification Features:

• ✅ 0.95 Truth Threshold: 95% accuracy required for production
• 🔄 Auto-Rollback: Automatic recovery from verification failures
• 🔒 Byzantine Fault Tolerance: Protection against incorrect agents
• 📊 Real-time Monitoring: Continuous validation and feedback
• 🤝 Pair Programming: Human + AI collaborative development

📚 Truth Verification System Documentation → 📚 Pair Programming System Documentation →

Claude-Flow Alpha.88 includes a comprehensive agent system with 64 specialized AI agents across 16 categories, providing unparalleled development capabilities:

• Agent System Overview - Complete catalog of all 64 agents with descriptions
• Agent Usage Guide - Practical examples and concurrent usage patterns
• Agent Categories - Detailed breakdown of all 16 categories

• Core Development (5): coder, planner, researcher, reviewer, tester
• Swarm Coordination (3): hierarchical, mesh, adaptive coordinators
• Consensus Systems (7): Byzantine, Raft, Gossip, CRDT protocols
• GitHub Integration (13): PR management, code review, release automation
• Performance Optimization (6): monitoring, load balancing, topology optimization
• View All 16 Categories →

# Initialize with complete agent system
npx claude-flow@alpha init

# Deploy multi-agent swarm
claude-flow swarm "Build REST API with authentication" --agents 8

# Concurrent agent deployment
Task("System architecture", "...", "system-architect")
Task("Backend development", "...", "backend-dev")
Task("Test creation", "...", "tester")

Claude-Flow provides specialized CLAUDE.md templates for different project types and development patterns. These templates optimize AI coordination for specific use cases:

💡 Quick Start: claude-flow templates apply web-development --output CLAUDE.md

➡️ Browse All Templates - Complete collection with usage guides

• Neural Module - SAFLA self-learning systems with persistent memory
• Goal Module - GOAP intelligent planning with A* pathfinding

• Installation Guide - Complete setup instructions
• Quick Start - Get up and running in minutes
• Init Commands - Project initialization options and configurations
• Windows Installation - Windows-specific setup
• Non-Interactive Mode - CI/CD and automation guide
• GitHub Actions Integration - Automated workflows
• WebSocket Server Guide - Headless WebSocket deployment

• Hive-Mind Intelligence - Understanding AI coordination
• Agent System Overview - Complete 64-agent system reference
• Agent Usage Guide - Practical usage patterns and examples
• Memory System - SQLite-based persistent memory
• Hooks System - Automated workflow orchestration

• Truth Verification System 🔍 - Mandatory verification with 0.95 truth threshold
• Pair Programming System 👥 - Real-time collaborative development with AI
• Training Pipeline (NEW!) 🧠 - Machine learning system for continuous agent improvement
• Verification-Training Integration 🔄 - How verification feeds training for better predictions
• Neural Networks - AI pattern recognition and learning
• MCP Tools - Complete tool reference (87 tools)
• GitHub Integration - Repository management automation
• GitHub Hooks (NEW!) - Automatic checkpoint releases & team collaboration
• Workflow Orchestration - Complex task coordination
• Automation Commands (NEW!) - Intelligent workflow automation with MLE-STAR
• Stream Chaining (NEW!) - Real-time agent output piping and coordination with technical implementation details
• MLE-STAR Workflow (NEW!) - Machine Learning Engineering via Search and Targeted Refinement

• Benchmark System - Complete benchmarking framework with swarm-bench CLI
• SWE-bench Evaluation (NEW!) - Official software engineering benchmark integration
• Performance Benchmarking (NEW!) - Advanced performance testing and optimization

• SPARC Methodology - Test-driven development patterns
• Development Patterns - Best practices and examples
• API Reference - Complete API documentation
• Troubleshooting - Common issues and solutions

• CLAUDE.md Templates - Project-specific configuration templates
• Web Development - Full-stack web application template
• TDD Template - Test-driven development configuration
• API Development - RESTful API project template
• Mobile Development - Native and hybrid mobile apps

• Contributing - How to contribute to Claude-Flow
• Examples - Real-world usage examples
• FAQ - Frequently asked questions

# Install Claude-Flow Alpha
npm install -g claude-flow@alpha

# Standard Init (Local Git checkpoints)
claude-flow init

# GitHub-Enhanced Init (NEW! GitHub releases for checkpoints)
claude-flow github init

# Initialize Hive-Mind Swarm
claude-flow hive init --topology mesh --agents 5

# Run SPARC Development Mode
claude-flow sparc run dev "build user authentication"

# Execute with full orchestration
claude-flow orchestrate "create REST API with tests" --agents 8 --parallel

# NEW! Intelligent Automation Commands
claude-flow automation mle-star --dataset data.csv --target label --claude
claude-flow automation auto-agent --task-complexity enterprise
claude-flow automation run-workflow workflow.json --claude --non-interactive

# NEW! Stream Chaining (Agent-to-Agent Piping)
claude-flow automation mle-star --dataset data.csv --target price --claude --output-format stream-json

# NEW! Training Pipeline Commands
claude-flow train-pipeline run --complexity medium --iterations 3
claude-flow train-pipeline status    # View agent performance profiles
claude-flow train-pipeline validate  # Check current performance metrics
claude-flow verify-train feed        # Feed verification data to training
claude-flow verify-train predict default coder  # Predict task outcomes

# NEW! Benchmarking Commands
swarm-bench run "Build REST API" --strategy development --max-agents 6
swarm-bench swarm "Create auth system" --mode hierarchical --parallel
swarm-bench sparc coder "Implement feature" --timeout 60

# NEW! SWE-bench Integration (Official software engineering benchmark)
swarm-bench swe-bench official --limit 10    # Test with 10 instances
swarm-bench swe-bench multi-mode --instances 5  # Compare all modes
swarm-bench swe-bench official --lite        # Full evaluation (300 instances)

🔥 Revolutionary AI Coordination: Build faster, smarter, and more efficiently with AI-powered development orchestration

Latest Version: v2.0.0-alpha.88 | License: MIT | Node.js: 18+ Required