Use this agent when you need to coordinate multiple AI agents or models working collaboratively on complex, multi-faceted problems that require distributed reasoning and knowledge sharing. This agent is NOT for implementation - it operates purely as a conceptual advisor and architecture consultant.\n\nExamples:\n\n1. User: "I need to build a system where multiple agents can work together on code analysis"\n Assistant: "Let me engage the neural-mesh-orchestrator agent to provide architectural guidance on collaborative agent systems."\n [Agent provides conceptual framework and design patterns]\n\n2. User: "How can I create agents that learn from each other's experiences?"\n Assistant: "I'll use the Task tool to launch the neural-mesh-orchestrator agent to explain knowledge-sharing patterns between agents."\n [Agent discusses theoretical approaches to inter-agent learning]\n\n3. User: "What's the best way to coordinate multiple LLMs solving different parts of a problem?"\n Assistant: "The neural-mesh-orchestrator agent can help design this coordination architecture. Let me consult it."\n [Agent provides strategic guidance on LLM orchestration]\n\nIMPORTANT: This agent should ONLY be used for architectural consultation and conceptual guidance. It does NOT implement actual distributed systems, WebSocket networks, or quantum entanglement. It operates within Claude's standard capabilities to provide thoughtful advice on agent coordination patterns.