GitHub - ruvnet/claude-flow: Claude-Flow v2.0.0 Alpha represents a leap in AI-powered development orchestration. Built from the ground up with enterprise-grade architecture, advanced swarm intelligence, and seamless Claude Code integration.
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Claude-Flow v2.0.0 Alpha represents a leap in AI-powered development orchestration. Built from the ground up with enterprise-grade architecture, advanced swarm intelligence, and seamless Claude Cod...
Resumen
Resumen Principal
Claude-Flow v2.0.0 Alpha es una innovadora plataforma de orquestación de IA de grado empresarial diseñada para transformar radicalmente el desarrollo asistido por inteligencia artificial. Al integrar un enfoque de inteligencia de hive-mind (colmena), avanzadas redes neuronales y un robusto conjunto de 87 herramientas MCP, la plataforma permite flujos de trabajo de desarrollo con IA sin precedentes. Su capacidad para coordinar agentes especializados bajo la dirección de una Queen AI facilita la creación de soluciones complejas de manera más rápida, inteligente y eficiente. La inclusión de la Flow Nexus Cloud Platform amplía aún más sus capacidades, ofreciendo un entorno de desarrollo en la nube seguro y escalable, lo que posiciona a Claude-Flow como una solución integral para desarrolladores que buscan maximizar el potencial de la IA en sus proyectos.
Elementos Clave
- Inteligencia de Hive-Mind y Agentes Especializados: La plataforma introduce una arquitectura de hive-mind donde una Queen Agent central coordina de manera maestra a un equipo de agentes trabajadores especializados. Estos incluyen Arquitectos, Codificadores, Testers, Analistas, Investigadores, Seguridad y DevOps, cada uno con roles definidos para abordar diversas facetas de un proyecto, desde el diseño del sistema hasta la implementación y la validación, optimizando la colaboración y la eficiencia en tareas complejas.
- Flow Nexus Cloud Platform: Una adición significativa en v2.0.0, esta plataforma en la nube ofrece sandboxes E2B aislados para entornos de desarrollo como Node.js, Python y React. Permite el despliegue de swarms de IA multi-agente en infraestructura de nube, entrenamiento neuronal distribuido, y acceso a desafíos de codificación con recompensas, además de un marketplace de plantillas, proporcionando un ecosistema completo para el desarrollo y despliegue de IA.
- Sistema de Hooks Avanzados: Claude-Flow incorpora un potente sistema de hooks automatizados que mejoran y automatizan los flujos de trabajo. Con hooks pre-operación (ej.,
pre-task
para asignación de agentes) y post-operación (ej.,post-edit
para formato de código,post-task
para entrenamiento neuronal), así como session hooks (ej.,session-start
para restaurar contexto), la plataforma garantiza una ejecución coherente, validación de seguridad y optimización continua de los procesos. - Arquitectura Dinámica de Agentes (DAA) y Herramientas MCP: La DAA ofrece un control programático completo sobre el ciclo de vida de los agentes, incluyendo asignación de recursos, comunicación inter-agentes, mecanismos de consenso y tolerancia a fallos. Complementada por 87 herramientas MCP (Management and Control Protocol), abarca categorías clave como orquestación de swarms (15 herramientas), capacidades neuronales y cognitivas (12 herramientas) y gestión de memoria (10 herramientas) mediante un sistema SQLite persistente con 12 tablas especializadas.
Análisis e Implicaciones
Claude-Flow v2.0.0 Alpha tiene el potencial de democratizar y acelerar drásticamente el desarrollo de IA, permitiendo a equipos de cualquier tamaño abordar proyectos complejos con una eficiencia y calidad antes inalcanzables. Su enfoque en la orquestación inteligente y la automatización integrada facilita la construcción de sistemas robustos y adaptativos, redefiniendo la productividad en el ámbito de la IA.
Contexto Adicional
Para iniciar con Claude-Flow v2.0.0 Alpha, los usuarios deben tener Node.js 18+ y npm 9+, y es imprescindible instalar Claude Code globalmente. La plataforma ofrece dos modos principales: swarm
para tareas rápidas y hive-mind
para proyectos complejos y sesiones persistentes.
Contenido
🌊 Claude-Flow v2.0.0 Alpha: AI Orchestration Platform
🌟 Overview
Claude-Flow v2 Alpha is an enterprise-grade AI orchestration platform that reimagines 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.
🎯 Key Features
- 🐝 Hive-Mind Intelligence: Queen-led AI coordination with specialized worker agents
- 🧠 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: 6 specialized modes for repository management
- 🌐 Flow Nexus Cloud Platform: E2B sandboxes, AI swarms, challenges, and marketplace integration
🔥 Revolutionary AI Coordination: Build faster, smarter, and more efficiently with AI-powered development orchestration
🌐 Flow Nexus Cloud Platform
NEW: Claude-Flow v2.0.0 now includes Flow Nexus integration - a cloud-powered AI development platform featuring:
- E2B Sandboxes: Secure isolated environments for Node.js, Python, React, Next.js
- AI Swarms: Deploy multi-agent systems in cloud infrastructure
- Neural Training: Distributed machine learning with custom model deployment
- Challenges & Marketplace: Coding challenges with rUv credit rewards and template marketplace
- Workflow Automation: Event-driven automation with message queue processing
📚 Complete documentation: Visit flow-nexus.ruv.io for comprehensive guides, tutorials, and API reference. Also see issue # #732
⚡ Try v2.0.0 Alpha in 4 Commands
📋 Prerequisites
- Node.js 18+ (LTS recommended)
- npm 9+ or equivalent package manager
- Windows users: See Windows Installation Guide for special instructions
# 1. Install Claude Code globally npm install -g @anthropic-ai/claude-code # 2. (Optional) Skip permissions check for faster setup # Only use if you understand the security implications claude --dangerously-skip-permissions
💡 Windows Note: If you encounter SQLite errors, Claude Flow will automatically use in-memory storage. For persistent storage options, see our Windows guide.
🎯 Instant Alpha Testing
# 1. Initialize Claude Flow with enhanced MCP setup (auto-configures permissions!) npx claude-flow@alpha init --force # 2. Explore all revolutionary capabilities npx claude-flow@alpha --help # 3a. Quick AI coordination (recommended for most tasks) npx claude-flow@alpha swarm "build me a REST API" --claude # 3b. OR launch the full hive-mind system (for complex projects) npx claude-flow@alpha hive-mind wizard npx claude-flow@alpha hive-mind spawn "build enterprise system" --claude
🚀 Quick Start with Flow Nexus
# 1. Initialize Flow Nexus only (minimal setup) npx claude-flow init --flow-nexus # 2. Register and login (use MCP tools in Claude Code) mcp__flow-nexus__user_register({ email: "your@email.com", password: "secure" }) mcp__flow-nexus__user_login({ email: "your@email.com", password: "secure" }) # 3. Deploy your first cloud swarm mcp__flow-nexus__swarm_init({ topology: "mesh", maxAgents: 5 }) mcp__flow-nexus__sandbox_create({ template: "node", name: "api-dev" })
🤔 Swarm vs Hive-Mind: Which to Use?
Feature | swarm Command |
hive-mind Command |
---|---|---|
Best For | Quick tasks, single objectives | Complex projects, persistent sessions |
Setup | Instant - no configuration needed | Interactive wizard setup |
Session | Temporary coordination | Persistent with resume capability |
Memory | Task-scoped | Project-wide with SQLite storage |
Agents | Auto-spawned for task | Manual control with specializations |
Use When | "Build X", "Fix Y", "Analyze Z" | Multi-feature projects, team coordination |
Quick Rule: Start with swarm
for most tasks. Use hive-mind
when you need persistent sessions or complex multi-agent coordination.
🎯 Typical Workflows - Your "Happy Path" Guide
New to Claude-Flow? Start Here!
Confused about .hive-mind
and .swarm
directories? Not sure when to create new hives? Here are the most common workflow patterns:
🚀 Pattern 1: Single Feature Development
# Initialize once per feature/task npx claude-flow@alpha init --force npx claude-flow@alpha hive-mind spawn "Implement user authentication" --claude # Continue working on SAME feature (reuse existing hive) npx claude-flow@alpha hive-mind status npx claude-flow@alpha memory query "authentication" --recent npx claude-flow@alpha swarm "Add password reset functionality" --continue-session
🏗️ Pattern 2: Multi-Feature Project
# Project-level initialization (once per project) npx claude-flow@alpha init --force --project-name "my-app" # Feature 1: Authentication (new hive) npx claude-flow@alpha hive-mind spawn "auth-system" --namespace auth --claude # Feature 2: User management (separate hive) npx claude-flow@alpha hive-mind spawn "user-management" --namespace users --claude # Resume Feature 1 later (use session ID from spawn output) npx claude-flow@alpha hive-mind resume session-xxxxx-xxxxx
🔍 Pattern 3: Research & Analysis
# Start research session npx claude-flow@alpha hive-mind spawn "Research microservices patterns" --agents researcher,analyst --claude # Continue research in SAME session npx claude-flow@alpha memory stats # See what's been learned npx claude-flow@alpha swarm "Deep dive into API gateway patterns" --continue-session
🤔 When Should I Create a New Hive?
Situation | Action | Command |
---|---|---|
Same objective/feature | Continue existing hive | npx claude-flow@alpha hive-mind resume <session-id> |
New feature in same project | Create new hive with namespace | npx claude-flow@alpha hive-mind spawn "new-feature" --namespace feature-name |
Completely different project | New directory + init | mkdir new-project && cd new-project && npx claude-flow@alpha init |
Experimenting/testing | Temporary hive | npx claude-flow@alpha hive-mind spawn "experiment" --temp |
📁 Understanding "Empty" Directories
Don't panic if directories seem empty! Claude-Flow uses SQLite databases that may not show files in directory listings:
# Check what's actually stored (even if directories look empty) npx claude-flow@alpha memory stats # See memory data npx claude-flow@alpha memory list # List all namespaces npx claude-flow@alpha hive-mind status # See active hives # Your project structure after initialization: # .hive-mind/ <- Contains config.json + SQLite session data # .swarm/ <- Contains memory.db (SQLite database) # memory/ <- Agent-specific memories (created when agents spawn) # coordination/ <- Active workflow files (created during tasks)
🔄 Continuing Previous Work
# See what you were working on npx claude-flow@alpha hive-mind status npx claude-flow@alpha memory query --recent --limit 5 # List all sessions to find the one you want npx claude-flow@alpha hive-mind sessions # Resume specific session by ID npx claude-flow@alpha hive-mind resume session-xxxxx-xxxxx
🪝 Advanced Hooks System
Automated Workflow Enhancement
Claude-Flow v2.0.0 introduces a powerful hooks system that automates coordination and enhances every operation:
# Hooks automatically trigger on operations npx claude-flow@alpha init --force # Auto-configures MCP servers & hooks
Available Hooks
Pre-Operation Hooks
pre-task
: Auto-assigns agents based on task complexitypre-search
: Caches searches for improved performancepre-edit
: Validates files and prepares resourcespre-command
: Security validation before execution
Post-Operation Hooks
post-edit
: Auto-formats code using language-specific toolspost-task
: Trains neural patterns from successful operationspost-command
: Updates memory with operation contextnotification
: Real-time progress updates
Session Hooks
session-start
: Restores previous context automaticallysession-end
: Generates summaries and persists statesession-restore
: Loads memory from previous sessions
Hook Configuration
// .claude/settings.json (auto-configured) { "hooks": { "preEditHook": { "command": "npx", "args": ["claude-flow", "hooks", "pre-edit", "--file", "${file}", "--auto-assign-agents", "true"], "alwaysRun": false }, "postEditHook": { "command": "npx", "args": ["claude-flow", "hooks", "post-edit", "--file", "${file}", "--format", "true"], "alwaysRun": true }, "sessionEndHook": { "command": "npx", "args": ["claude-flow", "hooks", "session-end", "--generate-summary", "true"], "alwaysRun": true } } }
Using Hooks in Claude Code
Hooks integrate seamlessly with Claude Code's workflow:
- Automatic Triggering: Hooks fire automatically during Claude Code operations
- Context Awareness: Each hook receives relevant context (file paths, commands, etc.)
- Non-Blocking: Hooks run asynchronously to maintain performance
- Configurable: Enable/disable specific hooks as needed
Hook Examples
# Manual hook execution npx claude-flow hooks pre-task --description "Build REST API" --auto-spawn-agents # Post-edit with formatting npx claude-flow hooks post-edit --file "src/api.js" --format --train-neural # Session management npx claude-flow hooks session-end --generate-summary --persist-state
Fixing Hook Variable Interpolation
If you're experiencing issues with ${file}
or ${command}
variables not working in your hooks (common with Claude Code 1.0.51+), use the fix-hook-variables
command:
# Fix all found settings.json files npx claude-flow@alpha fix-hook-variables # Fix specific file npx claude-flow@alpha fix-hook-variables .claude/settings.json # Create test configuration npx claude-flow@alpha fix-hook-variables --test
This command automatically transforms legacy variable syntax to working environment variables:
${file}
→$CLAUDE_EDITED_FILE
${command}
→$CLAUDE_COMMAND
${tool}
→$CLAUDE_TOOL
🐝 Revolutionary Hive-Mind Intelligence
Queen-Led AI Coordination
Claude-Flow v2.0.0 introduces groundbreaking hive-mind architecture where a Queen AI coordinates specialized worker agents in perfect harmony.
# Deploy intelligent swarm coordination npx claude-flow@alpha swarm "Build a full-stack application" --strategy development # Launch hive-mind with specific specializations npx claude-flow@alpha hive-mind spawn "Create microservices architecture" --agents 8 --claude
🤖 Intelligent Agent Types
- 👑 Queen Agent: Master coordinator and decision maker
- 🏗️ Architect Agents: System design and technical architecture
- 💻 Coder Agents: Implementation and development
- 🧪 Tester Agents: Quality assurance and validation
- 📊 Analyst Agents: Data analysis and insights
- 🔍 Researcher Agents: Information gathering and analysis
- 🛡️ Security Agents: Security auditing and compliance
- 🚀 DevOps Agents: Deployment and infrastructure
⚡ 87 Advanced MCP Tools
🧠 Neural & Cognitive Tools
# Neural pattern recognition and training npx claude-flow@alpha neural train --pattern coordination --epochs 50 npx claude-flow@alpha neural predict --model cognitive-analysis npx claude-flow@alpha cognitive analyze --behavior "development workflow"
💾 SQLite Memory Systems
# Cross-session memory management with SQLite persistence npx claude-flow@alpha memory store "project-context" "Full-stack app requirements" npx claude-flow@alpha memory query "authentication" --namespace sparc npx claude-flow@alpha memory stats # Shows 12 specialized tables npx claude-flow@alpha memory export backup.json --namespace default npx claude-flow@alpha memory import project-memory.json
🪟 Windows Users: SQLite will automatically fallback to in-memory storage if native modules fail. All features work normally, but data won't persist between sessions. See Windows guide for persistent storage options.
🔄 Workflow Orchestration
# Advanced workflow automation npx claude-flow@alpha workflow create --name "CI/CD Pipeline" --parallel npx claude-flow@alpha batch process --items "test,build,deploy" --concurrent npx claude-flow@alpha pipeline create --config advanced-deployment.json
🧠 Neural Network Capabilities
Cognitive Computing Engine
Powered by 27+ neural models optimized with WASM SIMD acceleration:
# Train coordination patterns npx claude-flow@alpha neural train --pattern coordination --data "workflow.json" # Real-time predictions npx claude-flow@alpha neural predict --model task-optimizer --input "current-state.json" # Analyze cognitive behavior npx claude-flow@alpha cognitive analyze --behavior "development-patterns"
Neural Features
- Pattern Recognition: Learns from successful operations
- Adaptive Learning: Improves performance over time
- Transfer Learning: Apply knowledge across domains
- Model Compression: Efficient storage and execution
- Ensemble Models: Combine multiple neural networks
- Explainable AI: Understand decision-making process
🔧 DAA MCP Endpoints
Dynamic Agent Architecture
Complete programmatic control over agent lifecycle and coordination:
# Create specialized agents npx claude-flow@alpha daa agent-create --type "specialized-researcher" \ --capabilities "[\"deep-analysis\", \"pattern-recognition\"]" \ --resources "{\"memory\": 2048, \"compute\": \"high\"}" # Match capabilities to tasks npx claude-flow@alpha daa capability-match \ --task-requirements "[\"security-analysis\", \"performance-optimization\"]" # Manage agent lifecycle npx claude-flow@alpha daa lifecycle-manage --agentId "agent-123" --action "scale-up"
DAA Features
- Resource Allocation: Dynamic CPU/memory management
- Inter-Agent Communication: Message passing and coordination
- Consensus Mechanisms: Democratic decision making
- Fault Tolerance: Self-healing with automatic recovery
- Performance Optimization: Real-time bottleneck resolution
MCP Tool Categories
🐝 Swarm Orchestration (15 tools)
swarm_init
,agent_spawn
,task_orchestrate
swarm_monitor
,topology_optimize
,load_balance
coordination_sync
,swarm_scale
,swarm_destroy
🧠 Neural & Cognitive (12 tools)
neural_train
,neural_predict
,pattern_recognize
cognitive_analyze
,learning_adapt
,neural_compress
ensemble_create
,transfer_learn
,neural_explain
💾 Memory Management (10 tools)
memory_usage
,memory_search
,memory_persist
memory_namespace
,memory_backup
,memory_restore
memory_compress
,memory_sync
,memory_analytics
- SQLite Backend: Persistent
.swarm/memory.db
with 12 specialized tables
📊 Performance & Monitoring (10 tools)
performance_report
,bottleneck_analyze
,token_usage
benchmark_run
,metrics_collect
,trend_analysis
health_check
,diagnostic_run
,usage_stats
🔄 Workflow Automation (10 tools)
workflow_create
,workflow_execute
,workflow_export
automation_setup
,pipeline_create
,scheduler_manage
trigger_setup
,batch_process
,parallel_execute
📦 GitHub Integration (6 tools)
github_repo_analyze
,github_pr_manage
,github_issue_track
github_release_coord
,github_workflow_auto
,github_code_review
🤖 Dynamic Agents (6 tools)
daa_agent_create
,daa_capability_match
,daa_resource_alloc
daa_lifecycle_manage
,daa_communication
,daa_consensus
🛡️ System & Security (8 tools)
security_scan
,backup_create
,restore_system
config_manage
,features_detect
,log_analysis
📊 GitHub Integration
# GitHub workflow orchestration and coordination
npx claude-flow@alpha github gh-coordinator analyze --analysis-type security
npx claude-flow@alpha github pr-manager review --multi-reviewer --ai-powered
npx claude-flow@alpha github release-manager coord --version 2.0.0 --auto-changelog
npx claude-flow@alpha github repo-architect optimize --structure-analysis
npx claude-flow@alpha github issue-tracker manage --project-coordination
npx claude-flow@alpha github sync-coordinator align --multi-package
🛡️ Seamless Claude Code Integration
Auto-MCP Server Setup
v2.0.0 Alpha automatically configures MCP servers for seamless Claude Code integration:
# Automatic MCP integration (happens during init) ✅ claude-flow MCP server configured ✅ ruv-swarm MCP server configured ✅ 87 tools available in Claude Code ✅ --dangerously-skip-permissions set as default
Enhanced SPARC Workflows
# Advanced SPARC development with neural enhancement npx claude-flow@alpha sparc mode --type "neural-tdd" --auto-learn npx claude-flow@alpha sparc workflow --phases "all" --ai-guided --memory-enhanced
🧠 Cognitive Computing Features
🎯 Neural Pattern Recognition
- 27+ Cognitive Models: Adaptive learning from successful operations
- Pattern Analysis: Real-time behavior analysis and optimization
- Decision Tracking: Complete audit trail of AI decisions
- Performance Learning: Continuous improvement from past executions
🔄 Self-Healing Systems
# Automatic error recovery and optimization
npx claude-flow@alpha health check --components all --auto-heal
npx claude-flow@alpha fault tolerance --strategy retry-with-learning
npx claude-flow@alpha bottleneck analyze --auto-optimize
💾 Advanced Memory Architecture
- SQLite Persistence: Robust
.swarm/memory.db
storage with 12 specialized tables - Cross-Session Persistence: Remember context across Claude Code sessions
- Namespace Management: Organized memory with hierarchical access
- Enhanced Schema: Agent interactions, training data, performance metrics, and more
- Memory Compression: Efficient storage of large coordination contexts
- Distributed Sync: Share memory across multiple AI instances
📊 Performance Metrics
🏆 Industry-Leading Results
- ✅ 84.8% SWE-Bench Solve Rate: Superior problem-solving through hive-mind coordination
- ✅ 32.3% Token Reduction: Efficient task breakdown reduces costs significantly
- ✅ 2.8-4.4x Speed Improvement: Parallel coordination maximizes throughput
- ✅ 87 MCP Tools: Most comprehensive AI tool suite available
- ✅ Zero-Config Setup: Automatic MCP integration with Claude Code
🚀 Available Capabilities
# Check memory system performance npx claude-flow@alpha memory stats npx claude-flow@alpha memory list # Test GitHub coordination modes npx claude-flow@alpha github gh-coordinator --help npx claude-flow@alpha github pr-manager --help # Workflow orchestration npx claude-flow@alpha workflow create --name "Development Pipeline" --parallel
🎮 Advanced Usage Examples
🏗️ Full-Stack Development
# Deploy complete development swarm npx claude-flow@alpha hive-mind spawn "Build e-commerce platform with React, Node.js, and PostgreSQL" \ --agents 10 \ --strategy parallel \ --memory-namespace ecommerce # Monitor progress in real-time npx claude-flow@alpha swarm monitor --dashboard --real-time
🔬 Research & Analysis
# Deploy research swarm with neural enhancement npx claude-flow@alpha swarm "Research AI safety in autonomous systems" \ --strategy research \ --neural-patterns enabled \ --memory-compression high # Analyze results with cognitive computing npx claude-flow@alpha cognitive analyze --target research-results
🛡️ Security & Compliance
# Automated security analysis with AI coordination npx claude-flow@alpha github gh-coordinator analyze --analysis-type security --target ./src npx claude-flow@alpha github repo-architect optimize --security-focused --compliance SOC2 npx claude-flow@alpha hive-mind spawn "security audit and compliance review" --claude
🏗️ Alpha Architecture Overview
🐝 Hive-Mind Coordination Layer
┌─────────────────────────────────────────────────────────┐
│ 👑 Queen Agent │
│ (Master Coordinator) │
├─────────────────────────────────────────────────────────┤
│ 🏗️ Architect │ 💻 Coder │ 🧪 Tester │ 🔍 Research │ 🛡️ Security │
│ Agent │ Agent │ Agent │ Agent │ Agent │
├─────────────────────────────────────────────────────────┤
│ 🧠 Neural Pattern Recognition Layer │
├─────────────────────────────────────────────────────────┤
│ 💾 Distributed Memory System │
├─────────────────────────────────────────────────────────┤
│ ⚡ 87 MCP Tools Integration Layer │
├─────────────────────────────────────────────────────────┤
│ 🛡️ Claude Code Integration │
└─────────────────────────────────────────────────────────┘
🔄 Coordination Strategies
- Hierarchical: Queen-led with specialized worker agents
- Mesh: Peer-to-peer coordination for complex tasks
- Hybrid: Dynamic strategy selection based on task complexity
- Neural-Enhanced: AI-optimized coordination patterns
🛠️ Alpha Installation & Setup
🚀 Quick Alpha Installation
# Global installation (recommended for testing) npm install -g claude-flow@alpha # Or use NPX for instant testing npx claude-flow@alpha init --force # Verify installation claude-flow --version # Should show 2.0.0-alpha.53
🔧 Enhanced Configuration
# Initialize with full alpha features npx claude-flow@alpha init --force --hive-mind --neural-enhanced # Configure Claude Code integration npx claude-flow@alpha mcp setup --auto-permissions --87-tools # Test hive-mind coordination npx claude-flow@alpha hive-mind test --agents 5 --coordination-test
📋 Alpha Command Reference
For complete command documentation, run:
npx claude-flow@alpha --help # Main help npx claude-flow@alpha help <command> # Detailed command help
Key Commands:
- Hive-Mind:
hive-mind wizard
,hive-mind spawn
,hive-mind status
- Neural:
neural train
,neural predict
,cognitive analyze
- Memory:
memory store
,memory query
,memory stats
,memory export/import
- GitHub:
github <mode>
(6 specialized modes available) - Workflows:
workflow create
,batch process
,pipeline create
📚 Additional Documentation
Core Documentation
- Complete API Reference - Comprehensive API documentation
- CLI Commands Guide - All command-line options
- Architecture Overview - System design and internals
- Examples Directory - Code examples and demos
New Features (v2.0.0)
- 🔒 Git Checkpoint System - Automatic Git checkpoints for Claude Code sessions
- 📊 Real Performance Tracking - Actual metrics collection and analysis
- 🪟 Windows Installation - Special instructions for Windows users
Integration Guides
- MCP Server Setup - Model Context Protocol configuration
- Claude Code Integration - Enhanced AI workflows
- GitHub Workflows - Repository automation
📄 License
MIT License - see LICENSE for details.
Alpha Disclaimer: This is an alpha release intended for testing and feedback. Use in production environments is not recommended.
🎉 Alpha Credits
- 🧠 Hive-Mind Architecture: Inspired by natural swarm intelligence
- ⚡ Neural Computing: Advanced AI coordination patterns
- 🛡️ Claude Code Integration: Seamless AI development workflow
- 🚀 Performance Optimization: 2.8-4.4x speed improvements through parallel coordination
🚀 Ready to experience the future of AI development?
npx claude-flow@alpha init --force
Join the alpha testing revolution!
Star History
Built with ❤️ by rUv | Powered by Revolutionary AI
v2.0.0 Alpha - The Future of AI Orchestration
Fuente: GitHub