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Swarm Orchestration

Orchestrate multi-agent swarms for parallel and hierarchical task execution with agentic-flow.

Updated Feb 10, 2026
Search Tags:#multi-agent#orchestration#distributed systems#swarm#AI coordination#agentic-flow
One-click install
npx skills add https://github.com/eysenfalk/git-review --skill swarm-orchestration-eysenfalk
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Swarm Orchestration
Source: https://github.com/eysenfalk/git-review/tree/main/.claude/skills/swarm-orchestration
Command: npx skills add https://github.com/eysenfalk/git-review --skill swarm-orchestration-eysenfalk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the complexity of managing and coordinating multiple AI agents to work together on large-scale tasks, enabling distributed problem-solving and complex workflow automation.

Core Features & Use Cases

  • Multi-Agent Coordination: Orchestrates swarms of agents for parallel or sequential task execution.
  • Dynamic Topologies: Supports mesh, hierarchical, and adaptive network structures for agent communication and collaboration.
  • Use Case: Building a complex software feature that requires distinct agents for coding, testing, and code review, ensuring seamless collaboration and efficient progress tracking.

Quick Start

Use the swarm orchestration skill to initialize a mesh topology with five coder agents and then orchestrate a task to build a REST API with tests.

Frequently Asked Questions about Swarm Orchestration

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

FAQPage Schema
How do I coordinate multiple AI agents for parallel task execution?▼

You coordinate multiple AI agents for parallel task execution by orchestrating multi-agent swarms using agentic-flow. This manages dynamic topologies and load balancing across distributed AI systems to handle complex workflows.

What network topologies can I use for multi-agent AI coordination?▼

Multi-agent AI coordination supports mesh, hierarchical, and adaptive network topologies. These dynamic structures manage agent communication and collaboration for parallel or sequential task execution within distributed systems.

How do I manage fault tolerance in distributed AI systems?▼

Fault tolerance in distributed AI systems is managed through swarm orchestration protocols. This handles dynamic topologies and load balancing to maintain reliable communication and task execution across multiple agents.

Do I need Node.js to run swarm orchestration for agentic-flow?▼

Yes, swarm orchestration for agentic-flow requires Node.js 18+ and agentic-flow v1.5.11+. These provide the advanced coordination and communication protocols needed to manage distributed AI agents.

When should I use hierarchical multi-agent orchestration instead of a single AI agent?▼

Use hierarchical multi-agent orchestration instead of a single AI agent for large-scale distributed problem-solving. It coordinates distinct agents for parallel or sequential tasks, enabling complex workflow automation like building features with separate coding and testing agents.

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