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.

Self-Learning Intelligence

Integrates with RuVector's Q-learning and vector memory for improved performance. CLI: node .claude/intelligence/cli.js stats

📋 Table of Contents

1. Overview
2. Swarm Management
3. Workflow Automation
4. Agent Orchestration
5. Templates & Patterns
6. Advanced Features
7. 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:

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)