Swarm Orchestration

Orchestrate agents by initializing a swarm with a defined topology (mesh, hierarchical, or adaptive), then distributing tasks across agent types. The Skill handles parallel execution, load balancing, and fault tolerance automatically, coordinating diverse agents like coders, testers, and reviewers to complete workflows without manual oversight.

The Skill manages fault tolerance and load balancing by automatically distributing tasks across the swarm topology, ensuring no single agent becomes a bottleneck. It monitors agent health and redistributes work dynamically when failures occur, maintaining task completion reliability in distributed systems.

Yes. The Skill integrates directly with agentic-flow hooks and tooling and runs on Node.js, enabling you to embed multi-agent coordination into existing JavaScript-based agentic workflows without additional infrastructure.

Agents coordinate through shared memory within the swarm topology, enabling synchronized decision-making across the system. This memory coordination ensures all agents access consistent context and state, critical for hierarchical and adaptive topologies where decisions depend on collective information.

Use mesh topology for peer-to-peer coordination with equal agent roles; hierarchical topology for supervisor-worker patterns with centralized control; adaptive topology when task requirements and agent availability change dynamically. Choose based on your workflow structure and scalability needs.

The Skill's fault tolerance automatically detects failures and redistributes incomplete tasks to healthy agents. Work continues without interruption, and the swarm rebalances load to maintain throughput and ensure task completion.