Hive Mind Advanced

About

Hive Mind Advanced is a high-level coordination framework for Claude Flow that enables the management of specialized worker swarms through a hierarchical queen-led architecture. It implements advanced decision-making protocols, including Byzantine fault tolerance and weighted voting, to ensure reliable consensus across distributed agents. The system features a persistent collective memory powered by SQLite and LRU caching, allowing for context sharing and pattern learning across sessions. This skill is particularly valuable for large-scale development projects where strategic oversight, task specialization, and automated session management are required to achieve high performance and accuracy.

Key Features

• Specialized worker assignment based on historical performance and domain expertise.
• Hierarchical queen-led coordination with strategic, tactical, and adaptive queen types.
• Automated session management featuring checkpointing, pausing, and progress tracking.
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• Persistent collective memory system with SQLite backend and association-based retrieval.
• Robust consensus algorithms including Byzantine Fault Tolerance and weighted majority voting.

Use Cases

• Coordinating full-stack application development across multiple specialized coding and testing agents.
• Executing complex repository-wide migrations and optimizations using automated worker swarms.
• Performing deep technical research and system audits requiring multi-agent verification and consensus.