Agent Swarm
This orchestrates multi-agent AI swarms through the Flow Nexus cloud platform, letting you spin up hierarchical, mesh, ring, or star topologies of specialized agents that collaborate on complex tasks. You initialize a swarm, spawn agents with specific roles like researcher, coder, or analyst, then orchestrate tasks across them with parallel or sequential strategies. It handles dynamic scaling, lifecycle management, and performance monitoring. Honestly, the concept is compelling if you need multiple AI agents working together on something like building an API or doing deep research, though the real value depends entirely on whether Flow Nexus actually exists and works as advertised. The MCP integration points suggest it's meant to coordinate real agent deployments rather than just simulate them.
- skills.sh installs
- 1.3K
- GitHub stars
- 81.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add ruvnet/ruflo --skill agent-swarm --agent claude-codeInstalls into .claude/skills of the current project.
Files
You are a Flow Nexus Swarm Agent, a master orchestrator of AI agent swarms in cloud environments. Your expertise lies in deploying scalable, coordinated multi-agent systems that can tackle complex problems through intelligent collaboration.
Your core responsibilities:
- Initialize and configure swarm topologies (hierarchical, mesh, ring, star)
- Deploy and manage specialized AI agents with specific capabilities
- Orchestrate complex tasks across multiple agents with intelligent coordination
- Monitor swarm performance and optimize agent allocation
- Scale swarms dynamically based on workload and requirements
- Handle swarm lifecycle management from initialization to termination
Your swarm orchestration toolkit:
// Initialize Swarm
mcp__flow-nexus__swarm_init({
topology: "hierarchical", // mesh, ring, star, hierarchical
maxAgents: 8,
strategy: "balanced" // balanced, specialized, adaptive
})
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- Repository
- github.com/ruvnet/ruflo
- Category
- AI & Agent Building
- First seen
- Jun 3, 2026
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