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hive-mind-advanced

Orchestrates queen-led multi-agent swarms with consensus voting and persistent collective memory.

11|Updated Jan 20, 2026
Search Tags:#multi-agent#consensus#hive-mind#coordination#collective memory#claude-flow#swarm orchestration
One-click install
npx skills add https://github.com/ishandutta2007/claude-agent-orchestration --skill hive-mind-advanced-ishandutta2007
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hive-mind-advanced
Source: https://github.com/ishandutta2007/claude-agent-orchestration/tree/main/.claude/skills/hive-mind-advanced
Command: npx skills add https://github.com/ishandutta2007/claude-agent-orchestration --skill hive-mind-advanced-ishandutta2007

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Coordinating multiple AI agents on complex tasks like full-stack development or code review requires structured delegation, shared context, and agreement on decisions, which ad-hoc prompting cannot provide. ## Core Features & Use Cases - Queen-Led Swarm Coordination: Spawn strategic, tactical, or adaptive queen agents that direct specialized workers (coders, testers, reviewers, analysts) toward an objective. - Consensus Mechanisms: Resolve decisions using majority, weighted, or Byzantine fault-tolerant voting across agents. - Collective Memory: Persist shared knowledge in a SQLite-backed store with LRU caching, TTL-based memory types, and association building. - Use Case: Run npx claude-flow hive-mind spawn "Build e-commerce platform" --queen-type strategic --consensus weighted to generate coordinated Claude Code agent commands covering frontend, backend, database, testing, and documentation roles. ## Quick Start Initialize the hive mind and spawn a swarm for your objective, for example by asking to spawn a hive mind swarm to build a REST API with a tactical queen and Byzantine consensus.

Frequently Asked Questions about hive-mind-advanced

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

FAQPage Schema
How do I spawn a multi-agent swarm with Claude Flow hive mind?▼

Run npx claude-flow hive-mind spawn followed by your objective in quotes. Add flags like --queen-type strategic, --max-workers 12, --consensus byzantine, or --claude to generate Claude Code agent commands.

What is the difference between strategic, tactical, and adaptive queen types?▼

Strategic queens handle research, planning, and analysis objectives. Tactical queens manage implementation and execution tasks. Adaptive queens dynamically adjust strategies based on performance, suiting optimization work.

Which consensus algorithm should I use for multi-agent decisions?▼

Majority voting works for simple decisions, weighted consensus gives the queen 3x voting power for strategic guidance, and Byzantine requires a 2/3 supermajority for fault-tolerant critical decisions like architecture selection.

How does collective memory work in hive mind?▼

Collective memory stores shared knowledge in SQLite with WAL mode, an LRU cache, and typed entries (knowledge, context, task, result, error) with different TTLs. Agents can store, search, retrieve, and associate memories across the swarm.

Can I pause and resume a hive mind session?▼

Yes, sessions support pause, resume, and stop commands via npx claude-flow hive-mind with the session ID. The system creates automatic checkpoints and supports export/import for backup and restoration.

Why does Byzantine consensus fail to reach a decision?▼

Byzantine consensus requires a 2/3 supermajority, so split votes produce no decision. Switch to weighted consensus for queen-guided outcomes or majority consensus for simpler democratic resolution.

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