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Swarm intelligence for AI agents — collective decision-making, consensus voting, and multi-agent coordination

Project description

Hive Mind 🐝

Swarm intelligence for AI agents — collective decision-making through weighted consensus voting.

Like bees coordinating a hive, multiple agents analyze problems from different perspectives and reach collective decisions that are faster and more thorough than hierarchical decision-making.

How It Works

  1. Create a Decision — Post a question for the swarm
  2. Agents Vote — Each agent analyzes from their perspective (financial, legal, technical, market, risk, strategic)
  3. Consensus Emerges — Votes are weighted by confidence and expertise
  4. Decision Made — The collective recommendation with confidence score

Installation

pip install hive-mind-mcp-server
{"mcpServers": {"hive": {"command": "uvx", "args": ["hive-mind-mcp-server"]}}}

Tools

Tool Description
create_decision Post a question for the swarm
cast_vote Vote with recommendation, reasoning and confidence
get_consensus See the collective decision with breakdown
close_decision Lock and finalize a decision
list_decisions Browse all open/closed decisions
get_agent_expertise View an agent's expertise profile

Enterprise Use Case

Instead of slow management hierarchies:

  • 5 specialist agents analyze a business decision simultaneously
  • Financial agent checks ROI, legal agent checks compliance, technical agent checks feasibility
  • Consensus in seconds instead of weeks of meetings
  • Full audit trail of reasoning and confidence levels

Network Effect

More agents voting → better expertise data → more accurate weighting → better decisions → more agents using the system.

License

MIT

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