Comprehensive documentation for Claude-Flow: Advanced AI Agent Orchestration System
Welcome to the complete user guide for Claude-Flow, a sophisticated multi-agent orchestration system built for complex AI workflows, featuring advanced coordination, memory management, and terminal integration.
This guide is organized into 10 comprehensive sections, progressing from basic usage to advanced enterprise deployment patterns:
- 01. Getting Started Guide - Installation, setup, and your first workflow
- 02. Architecture Overview - System components and design principles
- 03. Configuration Guide - Complete configuration reference with examples
- 04. Agent Management - Agent types, lifecycle, and coordination patterns
- 05. Task Coordination - Task management and workflow orchestration
- 06. Memory Bank Usage - Knowledge management and query patterns
- 07. MCP Integration - External tools and Model Context Protocol
- 08. Terminal Management - Session handling and multi-terminal workflows
- 11. Claude Spawning 🆕 - Spawn Claude instances with specific configurations
- 09. Troubleshooting - Common issues and diagnostic procedures
- 10. Advanced Usage - Enterprise patterns and production deployment
- Quick Start Guide - Get up and running in minutes
- CLI Reference - Complete command-line interface documentation
- Memory System Architecture - Technical details of the memory subsystem
- MCP Implementation - Protocol implementation details
- API Reference - Complete programmatic API documentation
- Examples - Practical usage examples and templates
Start with the Getting Started Guide for installation and basic concepts, then explore the Architecture Overview to understand how Claude-Flow works.
Check the Configuration Guide for comprehensive configuration options and the Agent Management guide for setting up your agent workflows.
The Task Coordination guide covers workflow creation and orchestration, while Memory Bank Usage explains knowledge management and persistence.
Learn about external tool integration in MCP Integration and terminal automation in Terminal Management.
The Troubleshooting Guide covers common issues and solutions. For enterprise deployment, see Advanced Usage.
Claude-Flow is a sophisticated multi-agent orchestration system that enables you to:
- Orchestrate Multiple AI Agents: Spawn and coordinate multiple Claude agents with different roles and capabilities
- Manage Complex Workflows: Create and execute multi-step workflows with dependencies and parallel processing
- Persistent Memory: Advanced memory management with SQLite and Markdown backends
- Terminal Integration: Efficient terminal pooling and session management with VSCode integration
- Resource Coordination: Intelligent resource management with deadlock detection and prevention
- MCP Protocol Support: Model Context Protocol server for seamless tool integration
- Spawn agents with specialized roles (researcher, implementer, analyst, coordinator)
- Dynamic agent lifecycle management
- Inter-agent communication and collaboration
- Priority-based task scheduling
- Dependency management
- Parallel and sequential execution
- Workflow templates and automation
- Hybrid SQLite/Markdown storage backends
- Vector search and semantic retrieval
- CRDT-based conflict resolution
- Automatic synchronization across agents
- Efficient terminal pooling
- Session recycling and health monitoring
- VSCode Terminal API integration
- Command execution and output capture
- Model Context Protocol server
- Tool registration and discovery
- Secure communication channels
- Extensible tool ecosystem
# Install globally via NPM
npm install -g claude-flow
# Or run directly with npx
npx claude-flow
# Or install with Deno
deno install --allow-all --name claude-flow https://raw.githubusercontent.com/ruvnet/claude-code-flow/main/src/cli/index.ts# Initialize configuration
claude-flow config init
# Start the orchestrator
claude-flow start
# Spawn your first agent
claude-flow agent spawn researcher --name "Research Assistant"
# Create a task
claude-flow task create research "Analyze AI development trends"
# Monitor progress
claude-flow task list
claude-flow agent list# Start interactive REPL for exploration
claude-flow repl
# In REPL mode:
> help
> agent spawn coordinator --name "Project Manager"
> task create analysis "System performance review"
> memory query --recentClaude-Flow uses a modular, event-driven architecture:
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ CLI/REPL │ │ Web UI │ │ API Client │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
└───────────────────────┼───────────────────────┘
│
┌─────────────────┐
│ Orchestrator │
│ (Core) │
└─────────────────┘
│
┌───────────────────┼───────────────────┐
│ │ │
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Agent Manager │ │ Task Scheduler │ │ Memory Manager │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│Terminal Manager │ │Resource Manager │ │ MCP Server │
└─────────────────┘ └─────────────────┘ └─────────────────┘
This documentation is organized into several sections:
- Quick Start: Get running immediately with simple examples
- CLI Reference: Complete guide to all command-line options
- Configuration: Customize Claude-Flow for your needs
- Examples: Real-world usage scenarios and templates
- API Reference: Programmatic interface documentation
- Architecture: Deep dive into system design
- Contributing: Guidelines for code contributions
- Deployment: Production setup and scaling
- Installation: Various installation methods and requirements
- Configuration: Advanced configuration options
- Monitoring: System monitoring and health checks
- Troubleshooting: Common issues and debugging
- Getting Started - Installation and basic concepts
- Architecture Overview - Understanding the system
- Configuration Guide - Basic configuration
- Agent Management - Agent types and coordination
- Task Coordination - Workflow creation
- Memory Bank Usage - Knowledge management
- MCP Integration - External tool integration
- Terminal Management - Multi-terminal workflows
- Troubleshooting - Problem solving
- Advanced Usage - Enterprise deployment and scaling
- GitHub Repository: github.com/ruvnet/claude-code-flow
- NPM Package: npmjs.com/package/claude-flow
- Issue Tracker: GitHub Issues
- Discussions: GitHub Discussions
- Discord: discord.gg/claude-flow
- Stack Overflow: Tag questions with
claude-flow
- Enterprise Support: support@claude-flow.dev
- Consulting Services: consulting@claude-flow.dev
- Training Programs: training@claude-flow.dev
Claude-Flow is open source and welcomes contributions! See our Contributing Guide for:
- Code style guidelines
- Development setup
- Testing procedures
- Pull request process
Claude-Flow is released under the MIT License. See the LICENSE file for details.
Ready to get started? Begin with the Getting Started Guide and unlock the power of AI agent orchestration with Claude-Flow!
Built with ❤️ by rUv for the Claude community