Swarm Orchestration

Coordinate distributed agent swarms for scalable parallel workflows.

Updated Jan 31, 2026

Search Tags:#orchestration #swarm #agentic-flow #topology #parallel-execution #distributed-system

Ready to run

npx skills add https://github.com/thewoolleyman/home-tech-infrastructure --skill swarm-orchestration-thewoolleyman

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Swarm Orchestration
Source: https://github.com/thewoolleyman/home-tech-infrastructure/tree/main/.claude/skills/swarm-orchestration
Command: npx skills add https://github.com/thewoolleyman/home-tech-infrastructure --skill swarm-orchestration-thewoolleyman

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating multiple AI agents to execute distributed workflows at scale, eliminating manual handoffs and bottlenecks.

Core Features & Use Cases

Topology versatility: supports mesh, hierarchical, and adaptive layouts for scalable collaboration.
Automated task distribution: dynamically assigns work and balances load across agents.
Fault tolerance & memory sharing: resilient task execution with shared state among agents.
Use cases: ideal for large AI pipelines, parallel experiments, and multi-team integration.

Quick Start

Initialize a mesh swarm with up to 5 agents, spawn a coder, a tester, and a reviewer, then orchestrate a parallel task: npx agentic-flow hooks swarm-init --topology mesh --max-agents 5 npx agentic-flow hooks agent-spawn --type coder npx agentic-flow hooks agent-spawn --type tester npx agentic-flow hooks agent-spawn --type reviewer npx agentic-flow hooks task-orchestrate --task "Build REST API" --mode parallel

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?▼

Multi-agent coordination is achieved by initializing a distributed agent swarm to dynamically assign work, balance loads, and manage fault tolerance across a chosen topology. This automated orchestration eliminates manual handoffs and execution bottlenecks in complex AI pipelines.

What distributed topology layouts are supported for multi-agent workflows?▼

Supported topologies for multi-agent workflows include mesh, hierarchical, and adaptive layouts. These configurations enable scalable collaboration and dynamic task distribution across distributed agents based on specific project requirements.

Do I need Node.js and agentic-flow to orchestrate distributed agent swarms?▼

Yes, you need agentic-flow v1.5.11 or higher and Node.js 18 or above installed to initialize, spawn, and orchestrate distributed agent swarms. These environment prerequisites are required to execute the automated coordination commands.

How do I spawn and orchestrate agents to build a REST API in parallel?▼

To build a REST API in parallel, initialize a mesh swarm, spawn specific agent types like a coder, tester, and reviewer, then execute a task-orchestrate command with parallel mode. This automates the development pipeline through distributed agent execution.

How does fault tolerance and memory sharing work in distributed agent swarms?▼

Fault tolerance and memory sharing in distributed agent swarms provide resilient task execution by maintaining a shared state among agents. This ensures continuous workflow progress and coordination even if individual agents encounter execution issues.