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Claude Flow

Orchestrate multi-agent systems with swarm coordination and persistent memory.

1|Updated Feb 8, 2026
Search Tags:#ai agents#orchestration#self-learning#multi-agent systems#swarm intelligence#vector memory
One-click install
npx skills add https://github.com/ricable/cli-skills-builder --skill claude-flow
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Claude Flow
Source: https://github.com/ricable/cli-skills-builder/tree/main/.claude/skills/claude-flow
Command: npx skills add https://github.com/ricable/cli-skills-builder --skill claude-flow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a robust framework for orchestrating complex AI agent workflows, enabling sophisticated multi-agent coordination and self-learning capabilities for enterprise-level AI development.

Core Features & Use Cases

  • Agent Orchestration: Manage and coordinate a large number of specialized AI agents (60+ types).
  • Swarm Intelligence: Implement advanced swarm coordination patterns like hierarchical and mesh topologies.
  • Self-Learning & Memory: Integrate self-learning hooks and persistent vector memory for adaptive agent behavior.
  • Use Case: Initialize a new project, spawn specialized coder agents, and orchestrate them to collaboratively develop a new software feature, with memory to retain context and learning.

Quick Start

Initialize Claude Flow in your current directory using the interactive wizard.

Frequently Asked Questions about Claude Flow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate multiple AI agents to work together on a software development task?▼

To orchestrate multiple AI agents, you can use this Skill to manage agent spawning and coordinate swarm intelligence across specialized agents, allowing them to collaboratively develop software features with persistent memory.

What is swarm intelligence in multi-agent systems and how does it handle agent coordination?▼

Swarm intelligence in multi-agent systems is a coordination mechanism that manages agent topologies like hierarchical and mesh structures, enabling specialized agents to work collaboratively on complex workflows.

Does Claude Flow work with OpenAI Codex CLI and Claude Code for AI development workflows?▼

Yes, Claude Flow integrates directly with Claude Code and supports the OpenAI Codex CLI, providing enterprise-grade agent orchestration within these existing AI development environments.

How do I set up a project with persistent vector memory for self-learning AI agents?▼

You can set up a project with persistent vector memory by initializing this Skill, which integrates self-learning hooks to help your AI agents retain context and adapt their behavior over time.

What's the best way to manage 60+ specialized AI agents in a multi-agent system?▼

The best way to manage 60+ specialized AI agents is using an enterprise-grade orchestration framework that handles agent spawning, swarm coordination, and memory persistence to maintain workflow stability.

Can I implement mesh and hierarchical topologies for coordinating AI agent swarms?▼

Yes, you can implement advanced swarm coordination patterns including both mesh and hierarchical topologies to structure the communication and task delegation across your AI agent swarms.

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