Swarm intelligence for AI agents — collective decision-making, consensus voting, and multi-agent coordination
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# 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 ```bash pip install hive-mind-mcp-server ``` ```json {"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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