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hive-mind-advanced

Coordinate multi-agent systems with queen-led hierarchy and persistent memory.

Updated Jan 7, 2026
Search Tags:#multi-agent#memory#consensus#hive-mind#coordination#distributed-systems
One-click install
npx skills add https://github.com/Aktoh-Cyber/agent-control-plane --skill hive-mind-advanced-aktoh-cyber
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hive-mind-advanced
Source: https://github.com/Aktoh-Cyber/agent-control-plane/tree/main/.claude/skills/hive-mind-advanced
Command: npx skills add https://github.com/Aktoh-Cyber/agent-control-plane --skill hive-mind-advanced-aktoh-cyber

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Hive Mind Advanced provides a scalable, queen-led coordination framework for heterogeneous agents, enabling centralized strategic planning, distributed execution, and persistent memory across the swarm.

Core Features & Use Cases

  • Queen-led orchestration of strategic and tactical agents for complex multi-agent tasks.
  • Consensus mechanisms (majority, weighted, Byzantine) with fault tolerance and memory consolidation.
  • Persistent collective memory via SQLite-based storage and memory consolidation, enabling traceability and learning across sessions.
  • Use cases include large-scale system design, SPARC-like development workflows, and cross-team collaboration in automated agent ecosystems.

Quick Start

Initialize the hive mind framework and spawn a strategic queen to coordinate a swarm of agents.

Frequently Asked Questions about hive-mind-advanced

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multi-agent systems with persistent memory and consensus?▼

Multi-agent coordination with persistent memory is achieved through a queen-led hierarchy that orchestrates strategic and tactical agents, using SQLite-backed storage for memory consolidation and traceability across sessions.

What consensus mechanisms are available for distributed agent coordination?▼

Distributed agent coordination supports majority, weighted, and Byzantine consensus mechanisms, providing fault tolerance and memory consolidation to ensure resilient collaborations across heterogeneous swarms.

How do I set up a queen-led hierarchy for multi-agent task execution?▼

Setting up a queen-led hierarchy requires initializing the hive mind framework and spawning a strategic queen to centrally coordinate distributed execution, strategic planning, and governance-powered routing for a swarm of agents.

Can I use Byzantine fault tolerance for large-scale system design with heterogeneous agents?▼

Byzantine fault tolerance is supported for large-scale system design and cross-team collaboration, enabling scalable coordination of heterogeneous agents through centralized strategic planning and distributed execution.

How does SQLite-backed memory consolidation work across multiple agent sessions?▼

SQLite-backed memory consolidation enables persistent collective memory across multiple agent sessions, allowing the swarm to store, share, and retrieve consolidated memory for traceability and continuous learning.

What are the limitations of queen-led orchestration in automated agent ecosystems?▼

Queen-led orchestration limitations depend on the chosen consensus mechanism and governance routing rules, requiring careful configuration of fault tolerance and memory consolidation to maintain resilient collaborations in automated agent ecosystems.

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