flow-nexus-swarm

---
name: flow-nexus-swarm
description: Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
category: orchestration
tags: [swarm, workflow, cloud, agents, automation, message-queue]
version: 1.0.0
requires:
  - flow-nexus MCP server
  - Active Flow Nexus account (register at flow-nexus.ruv.io)
---

# 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.

## 📋 Table of Contents

1. [Overview](#overview)
2. [Swarm Management](#swarm-management)
3. [Workflow Automation](#workflow-automation)
4. [Agent Orchestration](#agent-orchestration)
5. [Templates & Patterns](#templates--patterns)
6. [Advanced Features](#advanced-features)
7. [Best Practices](#best-practices)

## 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

## Swarm Management

### Initialize Swarm

Create a new swarm with specified topology and configuration:

```javascript
mcp__flow-nexus__swarm_init({
  topology: "hierarchical", // Options: mesh, ring, star, hierarchical
  maxAgents: 8,
  strategy: "balanced" // Options: balanced, specialized, adaptive
})
```

**Topology Guide:**
- **Hierarchical**: Tree structure with coordinator nodes (best for complex projects)
- **Mesh**: Peer-to-peer collaboration (best for research and analysis)
- **Ring**: Circular coordination (best for sequential workflows)
- **Star**: Centralized hub (best for simple delegation)

**Strategy Guide:**
- **Balanced**: Equal distribution of workload across agents
- **Specialized**: Agents focus on specific expertise areas
- **Adaptive**: Dynamic adjustment based on task complexity

### Spawn Agents

Add specialized agents to the swarm:

```javascript
mcp__flow-nexus__agent_spawn({
  type: "researcher", // Options: researcher, coder, analyst, optimizer, coordinator
  name: "Lead Researcher",
  capabilities: ["web_search", "analysis", "summarization"]
})
```

**Agent Types:**
- **Researcher**: Information gathering, web search, analysis
- **Coder**: Code generation

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