Swarm Orchestration

Orchestrate multiple autonomous agents across mesh, hierarchical, and adaptive topologies.

Updated Jul 2, 2025
One-click install
npx skills add https://github.com/dug-21/neural-data-platform --skill swarm-orchestration-dug-21
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Swarm Orchestration
Source: https://github.com/dug-21/neural-data-platform/tree/main/.claude/skills/swarm-orchestration
Command: npx skills add https://github.com/dug-21/neural-data-platform --skill swarm-orchestration-dug-21

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates complex AI and data workflows by coordinating multiple autonomous agents, enabling scalable, fault-tolerant operations beyond single-machine limits.

Core Features & Use Cases

  • Mesh, hierarchical, and adaptive topologies for flexible orchestration across diverse environments.
  • Automatic task distribution, load balancing, and fault tolerance to maximize throughput and resilience.
  • Deep integration with hooks and memory coordination to synchronize tasks and share state across agents.
  • Use Case: Build large-scale AI experiments, distributed data processing, or collaborative software development pipelines.

Quick Start

Initialize swarm npx agentic-flow hooks swarm-init --topology mesh --max-agents 5 Spawn agents npx agentic-flow hooks agent-spawn --type coder npx agentic-flow hooks agent-spawn --type tester npx agentic-flow hooks agent-spawn --type reviewer Orchestrate task npx agentic-flow hooks task-orchestrate --task Build REST API with tests --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 autonomous agents for distributed AI workflows?

You coordinate multiple autonomous agents by initializing a swarm orchestration framework that supports mesh, hierarchical, and adaptive topologies. This enables automatic task distribution and load balancing across agents for scalable distributed AI workflows.

Do I need Node.js to run multi-agent swarm orchestration commands?

Yes, you need Node.js 18+ and an environment capable of running npm or npx commands. Swarm orchestration requires agentic-flow v1.5.11 or higher to install hooks, execute commands, and spawn multiple autonomous agents.

What's the best way to distribute tasks across a multi-agent mesh topology?

The best way to distribute tasks across a mesh topology is using a swarm orchestration framework with automatic load balancing. You initialize the swarm, spawn agents by type, and orchestrate tasks in parallel to maximize throughput and resilience.

Can I use swarm orchestration for collaborative software development pipelines?

Yes, swarm orchestration supports collaborative software development pipelines by spawning specialized agents like coders, testers, and reviewers. These agents synchronize tasks and share state through hooks and memory coordination.

How does fault tolerance work in multi-agent distributed AI systems?

Fault tolerance in multi-agent distributed AI systems is handled by the swarm orchestration framework, which applies automatic task distribution and load balancing across hierarchical and adaptive topologies to maximize resilience during operations.

When do I need adaptive topologies for multi-agent task distribution?

You need adaptive topologies for multi-agent task distribution when running complex task pipelines that require flexible orchestration across diverse environments. This approach ensures fault tolerance and scalable operations beyond single-machine limits.