What is Byzantine consensus in this context?

It is a robust decision-making mechanism requiring a 2/3 supermajority, ensuring the hive mind reaches a reliable agreement even if some agents provide conflicting or faulty output.

What is the difference between Strategic and Tactical queens?

Strategic queens focus on high-level objectives and long-term planning, while Tactical queens manage mid-level execution and direct worker agents for specific implementation tasks.

Can Hive Mind Advanced scale the number of agents automatically?

Yes, the system includes auto-scaling features that dynamically adjust worker counts based on pending task volume and worker idle time to optimize resource efficiency.

Is this skill compatible with the SPARC methodology?

Absolutely. Hive Mind Advanced integrates directly with SPARC to spawn specialized agents for specification, architecture, development, and testing phases automatically.

How does collective memory improve agent performance?

Collective memory provides a shared knowledge base across all agents, reducing token usage by over 30% and ensuring data consistency during complex, multi-step workflows.

Hive Mind Advanced Coordination

Name: Hive Mind Advanced Coordination
Author: nbossn

bynbossn

0•

협업 도구

Orchestrates sophisticated multi-agent swarms using queen-led architecture and collective intelligence mechanisms.

Hive Mind Advanced is a high-performance multi-agent coordination system designed for Claude Code. It implements a hierarchical queen-worker architecture where strategic 'queen' agents direct specialized workers across a shared knowledge base. By utilizing robust consensus mechanisms like Byzantine Fault Tolerance and a persistent collective memory system, it enables complex workflows—such as research, implementation, and code review—to be performed with up to 20x faster batch spawning and significant token reduction compared to standard agentic patterns.

주요 기능

010 GitHub stars

02Intelligent auto-scaling and task distribution based on real-time agent specialization matching.

03Robust consensus mechanisms including Majority, Weighted, and Byzantine Fault Tolerance.

04Comprehensive session management with automatic checkpoints and progress tracking.

05Queen-led hierarchical coordination with strategic, tactical, and adaptive leadership roles.

06Persistent collective memory system with SQLite storage and LRU caching optimization.

사용 사례

01Executing deep research tasks that require diverse specialized perspectives and consensus-driven conclusions.

02Automating large-scale codebase refactoring and microservices architecture planning.

03Coordinating cross-functional agent swarms for comprehensive security audits and test suites.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base hive-mind-advanced

For use in Claude.ai and ChatGPT

주요 기능

010 GitHub stars

02Intelligent auto-scaling and task distribution based on real-time agent specialization matching.

03Robust consensus mechanisms including Majority, Weighted, and Byzantine Fault Tolerance.

04Comprehensive session management with automatic checkpoints and progress tracking.

05Queen-led hierarchical coordination with strategic, tactical, and adaptive leadership roles.

06Persistent collective memory system with SQLite storage and LRU caching optimization.

사용 사례

01Executing deep research tasks that require diverse specialized perspectives and consensus-driven conclusions.

02Automating large-scale codebase refactoring and microservices architecture planning.

03Coordinating cross-functional agent swarms for comprehensive security audits and test suites.