How does the collective memory system work?

It uses a shared SQLite knowledge base with LRU caching and persistence to store insights, context, and task results that all agents in the swarm can access, preventing redundant work.

Does Hive Mind Advanced integrate with Claude Code commands?

Yes, it can directly generate Claude Code Task commands and integrates with SPARC methodology for TDD and complex repository analysis.

What is a 'Queen-led' architecture in Hive Mind?

It is a hierarchical coordination pattern where a strategic 'Queen' agent manages high-level objectives and orchestrates specialized 'Worker' agents (like Researchers, Coders, and Testers) to execute tactical steps.

What are the different consensus types available?

The skill supports Majority voting, Weighted consensus (where the Queen's vote has 3x weight), and Byzantine Fault Tolerance (requiring a 2/3 supermajority for high-reliability decisions).

How do I monitor the swarm's performance?

You can use built-in CLI commands to check hive status, view detailed performance metrics, and monitor collective memory usage in real-time.

Hive Mind Advanced

Name: Hive Mind Advanced
Author: while-basic

bywhile-basic

0•

Collaboration Tools

Coordinates complex multi-agent swarms using a queen-led architecture and collective intelligence to solve high-level software engineering tasks.

Hive Mind Advanced is a sophisticated coordination system for Claude that implements a hierarchical 'Queen-Worker' architecture for multi-agent workflows. It allows for the simultaneous management of specialized agents—such as researchers, coders, and testers—synchronized through Byzantine fault-tolerant consensus and a shared persistent memory layer. This skill is ideal for complex, large-scale software projects where a single agent's context or capabilities might be insufficient, providing robust task distribution, collective decision-making, and session persistence to ensure consistency across long-running development cycles.

Key Features

010 GitHub stars

02Persistent collective memory system using SQLite with LRU caching and WAL mode

03Queen-led hierarchical orchestration for strategic and tactical task management

04Multi-agent consensus mechanisms including Weighted and Byzantine Fault Tolerance

05Intelligent task distribution based on agent specialization and historical performance

06Advanced session management with automatic checkpoints and exportable progress tracking

Use Cases

01Architecting and building complex microservices from scratch using specialized agent swarms

02Executing comprehensive system-wide code reviews and security audits across large repositories

03Automating large-scale research and implementation tasks via synchronized SPARC methodology workflows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add while-basic/c-flow hive-mind-advanced

For use in Claude.ai and ChatGPT

Download Skill