What problem does it solve?
This Skill solves the challenge of complex multi-agent coordination, decision-making, and knowledge sharing in large-scale AI projects. It helps users manage sophisticated AI initiatives by providing a structured, intelligent system for agents to work together, reducing manual oversight and ensuring robust, reliable outcomes.
Core Features & Use Cases
- Queen-Led Architecture: Implements a hierarchical coordination system where strategic queen agents direct specialized workers for high-level objectives and tactical execution.
- Byzantine Consensus: Ensures robust decision-making even with faulty agents, requiring a 2/3 majority for approval, guaranteeing reliable and resilient outcomes.
- Collective Memory: Provides a shared, persistent knowledge base across all agents, enabling continuous learning, context preservation, and optimized access patterns.
- Use Case: Deploy a Hive Mind to build a microservices architecture. The queen agent orchestrates the high-level plan, while specialized worker agents (coder, architect, tester) implement, test, and document components, all sharing knowledge through collective memory.
Quick Start
Initialize Hive Mind
npx claude-flow hive-mind init
Spawn a swarm to build microservices architecture
npx claude-flow hive-mind spawn "Build microservices architecture"
