Swarm Orchestration

What problem does it solve?

This Skill solves the challenge of scaling beyond single AI agents, enabling the implementation of complex workflows and distributed AI systems that require intelligent coordination, dynamic topology, and parallel task execution.

Core Features & Use Cases

• Multi-Agent Swarms: Orchestrate groups of AI agents for collaborative tasks.
• Dynamic Topologies: Supports mesh (peer-to-peer), hierarchical (queen-worker), and adaptive topologies for flexible coordination.
• Parallel Task Execution: Distribute and execute tasks concurrently across agents for speed and efficiency.
• Load Balancing & Fault Tolerance: Automatically manages agent workload and handles failures to ensure continuous operation.
• Memory Coordination: Share state and context across the swarm for cohesive decision-making.
• Use Case: Deploy a swarm of coder, tester, and reviewer agents to collaboratively "Build a REST API with tests" in parallel, ensuring quality and speed.

Quick Start

Initialize a mesh topology swarm with 5 agents: npx agentic-flow hooks swarm-init --topology mesh --max-agents 5 Spawn a coder agent: npx agentic-flow hooks agent-spawn --type coder Orchestrate a task: npx agentic-flow hooks task-orchestrate --task "Build REST API with tests" --mode parallel