Can Hive Mind scale for large projects?

Yes, it includes features like auto-scaling worker pools, parallel processing of tasks, and session checkpointing designed for complex software engineering projects.

Does it integrate with SPARC?

Absolutely. It can automate SPARC workflows by spawning specialized agents for Specification, Architecture, Review, and Coding phases automatically.

How does the collective memory system work?

It uses an SQLite-backed system with LRU caching and WAL mode to store shared knowledge, context, and task results across all agents in the swarm, ensuring persistence across sessions.

What is a 'Queen-led' architecture?

It is a hierarchical coordination pattern where a 'Queen' agent manages high-level strategy and objective delegation, while specialized 'Worker' agents handle specific execution tasks.

What consensus mechanisms are supported?

The system supports Majority voting, Weighted consensus (giving the Queen more influence), and Byzantine Fault Tolerance which requires a 2/3 majority for decision approval.

Hive Mind Advanced

Name: Hive Mind Advanced
Author: ricable

byricable

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협업 도구

Orchestrates complex multi-agent swarms using queen-led coordination, Byzantine consensus, and persistent collective memory.

Hive Mind Advanced is a sophisticated collective intelligence system designed to manage specialized AI agent teams within the Claude Flow ecosystem. By implementing a hierarchical 'Queen-Worker' architecture, it allows a central strategic agent to delegate tasks to specialized workers while maintaining shared knowledge through a high-performance SQLite-backed collective memory. Whether you need Byzantine fault tolerance for critical decision-making or auto-scaling worker pools for large-scale code implementation, this skill provides the framework for robust, autonomous agentic workflows.

주요 기능

01Automated worker auto-scaling and comprehensive session checkpointing

02Byzantine and Weighted consensus mechanisms for reliable multi-agent decisions

03Queen-led hierarchical coordination for strategic delegation and oversight

04Persistent SQLite-backed collective memory with LRU caching and WAL mode

052 GitHub stars

06Intelligent task distribution based on agent specialization and performance

사용 사례

01Executing large-scale code audits and security reviews using specialized worker pools

02Managing long-running research and development cycles with persistent state

03Building complex microservices architectures through autonomous agent collaboration

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ricable/ultimate-ai-agent hive-mind-advanced

For use in Claude.ai and ChatGPT

Download Skill