Flow Nexus Swarm

This is a comprehensive orchestration system for running multiple AI agents as coordinated swarms with event-driven workflows. You get four topology options (hierarchical, mesh, ring, star) and can spawn specialized agents like researchers, coders, and analysts that work together on complex tasks. The workflow engine handles dependencies, parallel execution, and queue-based async processing, while vector similarity matching assigns the right agent to each subtask. It's built for scenarios where you need multiple AI agents tackling different parts of a large project simultaneously, like full-stack development or research pipelines. The infrastructure is cloud-based with real-time monitoring and auto-scaling, though you're trading simplicity for power here.

skills.sh installs: 1.2K
GitHub stars: 81.4K
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add ruvnet/ruflo --skill flow-nexus-swarm --agent claude-code

Installs into .claude/skills of the current project.

Files

Flow Nexus Swarm & Workflow Orchestration

Deploy and manage cloud-based AI agent swarms with event-driven workflow automation, message queue processing, and intelligent agent coordination.

Overview

Flow Nexus provides cloud-based orchestration for AI agent swarms with:

Multi-topology Support: Hierarchical, mesh, ring, and star architectures
Event-driven Workflows: Message queue processing with async execution
Template Library: Pre-built swarm configurations for common use cases
Intelligent Agent Assignment: Vector similarity matching for optimal agent selection
Real-time Monitoring: Comprehensive metrics and audit trails
Scalable Infrastructure: Cloud-based execution with auto-scaling