What consensus algorithms are supported?

The system supports Majority (simple democratic voting), Weighted (Queen has 3x voting power), and Byzantine (requires a 2/3 supermajority for high-stakes decisions).

How does the collective memory system benefit the swarm?

It provides a shared knowledge base (SQLite/LRU) that allows all agents to access the same context, insights, and task results, preventing redundant work and ensuring consistency across the project.

Is this skill compatible with standard Claude Code commands?

Yes, it can generate Claude Code 'Task' commands directly, allowing the Hive Mind to orchestrate native Claude processes for coding, analysis, and testing.

What is the difference between a Strategic and Tactical Queen?

Strategic Queens focus on high-level planning, research, and analysis to define the roadmap, while Tactical Queens manage the immediate mid-level execution and coordination of worker agents.

Can I resume a coordination session after it has stopped?

Yes, Hive Mind Advanced includes a session management system that creates checkpoints, allowing you to pause, resume, and track the progress of long-running tasks.

Hive Mind Advanced Coordination

Name: Hive Mind Advanced Coordination
Author: zellycloud

byzellycloud

생산성 및 워크플로

Orchestrates sophisticated multi-agent swarms using a queen-led hierarchical architecture and robust consensus mechanisms.

소개

Hive Mind Advanced is a collective intelligence system designed to scale Claude Code's capabilities through a structured multi-agent approach. It utilizes a hierarchical 'Queen' agent to oversee specialized workers, ensuring strategic alignment through Byzantine fault tolerance and weighted consensus algorithms. With its persistent collective memory system powered by SQLite and LRU caching, the skill enables long-running sessions, shared knowledge across agents, and optimized task distribution, making it an essential tool for complex, large-scale software engineering projects that require high-level coordination.

주요 기능

Intelligent task distribution based on worker specialization and historical performance.
0 GitHub stars
Persistent collective memory system with SQLite backend and LRU caching optimization.
Advanced session management with automatic checkpointing and progress tracking.
Robust consensus mechanisms including Byzantine Fault Tolerance and Weighted Voting.
Queen-led hierarchical agent orchestration with Strategic, Tactical, and Adaptive modes.

사용 사례

Orchestrating complex full-stack application development across multiple specialized agents.
Conducting large-scale repository analysis and architectural quality audits.
Implementing automated TDD workflows using coordinated coder, tester, and reviewer agents.

소개

주요 기능

Intelligent task distribution based on worker specialization and historical performance.
0 GitHub stars
Persistent collective memory system with SQLite backend and LRU caching optimization.
Advanced session management with automatic checkpointing and progress tracking.
Robust consensus mechanisms including Byzantine Fault Tolerance and Weighted Voting.
Queen-led hierarchical agent orchestration with Strategic, Tactical, and Adaptive modes.

사용 사례

Orchestrating complex full-stack application development across multiple specialized agents.
Conducting large-scale repository analysis and architectural quality audits.
Implementing automated TDD workflows using coordinated coder, tester, and reviewer agents.