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hive-mind-advanced

Coordinate multiple AI agents with queen-led consensus and shared memory.

Updated Aug 23, 2026
Search Tags:#automation#multi-agent#consensus#collective intelligence#swarm#hive-mind#coordination
One-click install
npx skills add https://github.com/thepingdoctor/kumo-mta-ui --skill hive-mind-advanced-thepingdoctor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hive-mind-advanced
Source: https://github.com/thepingdoctor/kumo-mta-ui/tree/main/.claude/skills/hive-mind-advanced
Command: npx skills add https://github.com/thepingdoctor/kumo-mta-ui --skill hive-mind-advanced-thepingdoctor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating multiple AI agents for complex tasks can be chaotic and inefficient. This Skill provides a structured, queen-led architecture to manage diverse agents, ensuring consensus, shared knowledge, and robust task execution.

Core Features & Use Cases

  • Queen-Led Coordination: Strategic, tactical, and adaptive queens orchestrate high-level objectives and mid-level execution.
  • Collective Memory System: A shared knowledge base with LRU caching and SQLite persistence ensures agents learn and remember.
  • Byzantine Fault Tolerance: Robust consensus mechanisms require a 2/3 majority, ensuring reliable decision-making even with faulty agents.
  • Use Case: Deploy a Hive Mind to build a microservices architecture. A strategic queen directs specialized workers (coders, architects, testers) who share knowledge and reach consensus on design patterns, delivering a high-quality system efficiently.

Quick Start

1. Initialize Hive Mind

npx claude-flow hive-mind init

2. Spawn a Swarm for an objective

npx claude-flow hive-mind spawn "Build microservices architecture"

3. Monitor Status

npx claude-flow hive-mind status