Hive Mind
Swarm intelligence for AI agents, enabling collective decision-making through weighted consensus voting.
README
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
- Create a Decision — Post a question for the swarm
- Agents Vote — Each agent analyzes from their perspective (financial, legal, technical, market, risk, strategic)
- Consensus Emerges — Votes are weighted by confidence and expertise
- 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.
More MCP Servers by AiAgentKarl
| Category | Servers |
|---|---|
| 🔗 Blockchain | Solana |
| 🌍 Data | Weather · Germany · Agriculture · Space · Aviation · EU Companies |
| 🔒 Security | Cybersecurity · Policy Gateway · Audit Trail |
| 🤖 Agent Infra | Memory · Directory · Hub · Reputation |
| 🔬 Research | Academic · LLM Benchmark · Legal |
License
MIT
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