Swarm Orchestration

Coordinate multi-agent swarms across mesh, hierarchical, and adaptive topologies.

6|3|Updated Dec 3, 2025

Search Tags:#multi-agent #distributed systems #parallel #swarm #coordination

Ready to run

npx skills add https://github.com/pacphi/ampel --skill swarm-orchestration-pacphi

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agentic-flow, and includes scripts (resource) components.

What problem does it solve?

This Skill eliminates the complexity of coordinating multiple AI agents, allowing you to build sophisticated distributed systems effortlessly.

Core Features & Use Cases

Parallel Task Execution: Run multiple AI agents simultaneously on different tasks.
Dynamic Topology: Switch between mesh, hierarchical, and adaptive patterns.
Use Case: Imagine you need to develop a full-stack application. Use this Skill to spawn specialized agents for backend, frontend, testing, and deployment coordination.

Quick Start

Initialize a mesh swarm with up to 5 agents, spawn coder, tester, and reviewer agents, then orchestrate a "Build REST API with tests" task in parallel mode.

Core Features & Use Cases

Intelligent Coordination: Automatic task distribution, load balancing, and fault tolerance.
Memory Coordination: Share state across all agents for seamless collaboration.

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 to run tasks in parallel?▼

Swarm Orchestration coordinates multi-agent task execution by distributing work across a mesh, hierarchical, or adaptive topology. Initialize agents, assign specialized roles, and the system handles automatic load balancing, memory sharing, and fault tolerance across parallel execution.

What topologies does distributed agent coordination support?▼

Distributed agent coordination supports mesh, hierarchical, and adaptive topologies. Mesh connects all agents equally, hierarchical organizes them in layers, and adaptive adjusts structure based on workload. Switch between topologies dynamically to match your task requirements.

Can I use multi-agent swarms for full-stack application development?▼

Yes. Spawn specialized agents for backend, frontend, testing, and deployment, then orchestrate tasks in parallel. The system distributes work, balances load across agents, coordinates shared memory state, and manages fault tolerance throughout development.

How does memory coordination work across multiple agents?▼

Memory coordination shares state across all agents in the swarm for seamless collaboration. Each agent accesses the shared context, ensuring consistent task execution and enabling agents to build on each other's results without manual synchronization.

What happens if an agent fails during parallel task execution?▼

Fault tolerance is built in. The orchestration system detects failures, redistributes failed tasks to remaining agents, and maintains workflow continuity. Load balancing ensures no single agent becomes a bottleneck during recovery.

Does this work with the agentic-flow framework?▼

Yes. Swarm Orchestration integrates with agentic-flow through hooks for pre-task, post-task, and session management. This enables coordinated agent behavior across the entire workflow lifecycle with proper event handling and state transitions.