English Français العربية

io.github.QuantuLabs/hivemind

Official registry AI and agents

Query multiple AI models (OpenAI, Anthropic, Google) for consensus responses.

Source code Documentation

What can you do with io.github.QuantuLabs/hivemind?

  • Multi-Model Consensus: Query 3 leading AI models simultaneously
  • Deliberation Algorithm: Up to 3 rounds of refinement to reach consensus
  • Solo Mode: Chat with individual models (GPT, Claude, Gemini)
  • Hivemind Mode: Get synthesized responses from all models
  • Conversation History: Persistent chat sessions
  • Dark/Light Theme: Full theme support
  • Secure Storage: API keys encrypted with AES-GCM in browser

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @quantulabs/hivemind
Claude Code 
claude mcp add hivemind -e 'OPENAI_API_KEY=<your openai_api_key>' -e 'GOOGLE_API_KEY=<your google_api_key>' -- npx -y @quantulabs/hivemind@0.1.3
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "hivemind": {
            "command": "npx",
            "args": [
                "-y",
                "@quantulabs/hivemind@0.1.3"
            ],
            "env": {
                "OPENAI_API_KEY": "<your openai_api_key>",
                "GOOGLE_API_KEY": "<your google_api_key>"
            }
        }
    }
}

Environment variables

  • OPENAI_API_KEY secret OpenAI API key for GPT-5.2
  • GOOGLE_API_KEY secret Google AI API key for Gemini

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Hivemind
  2. MCP Server for Claude Code
  3. Web Interface
  4. How Consensus Works
  5. Supported Models
  6. Project Structure
  7. Development
  8. License

Hivemind

Multi-model AI consensus platform that queries GPT-5.2, Claude Opus 4.5, and Gemini 3 Pro simultaneously to deliver synthesized, high-confidence responses.

MCP Server for Claude Code

Use Hivemind directly in Claude Code to get perspectives from GPT-5.2 and Gemini 3 Pro. Claude acts as the orchestrator and synthesizes the responses.

Requirements

Note: No Anthropic API key needed - Claude is already your host!

Installation
npm install -g @quantulabs/hivemind
claude mcp add hivemind -- hivemind
Configuration

You need at least one API key, but both are recommended for better consensus:

Option 1: Paste directly (recommended)

/hive-config sk-proj-xxx...   # OpenAI key
/hive-config AIzaSy...        # Google key

Option 2: Config file

Create ~/.config/hivemind/.env:

OPENAI_API_KEY=sk-...
GOOGLE_API_KEY=AIza...

# Optional: Override default models
OPENAI_MODEL=gpt-5.1
GOOGLE_MODEL=gemini-2.5-flash

A .env.example template is included in the package.

Using with other MCP clients (non-Claude Code)

For standalone MCP usage, you can also add an Anthropic key to include Claude in the consensus:

ANTHROPIC_API_KEY=sk-ant-...

Disable Claude Code mode via /hive-config > Settings > Claude Code Mode.

Usage
/hive "Why is my WebSocket connection dropping?"

Claude orchestrates the consensus from GPT-5.2 and Gemini 3 Pro responses.

Available Tools
ToolDescription
hivemindQuery models and get synthesized consensus
configure_keysSet API keys (stored securely)
check_statusCheck configuration and active providers
configure_hiveToggle grounding search and settings
check_statsView token usage and cost statistics
Claude Code Commands
  • /hive <question> - Orchestrate multi-model consensus with Claude as the synthesizer
  • /hive-config - Configure API keys and settings
  • /hivestats - View usage statistics
Automatic Hivemind Fallback

Copy CLAUDE.md.example to your project's .claude/CLAUDE.md to enable automatic Hivemind consultation when Claude is stuck (after 3+ failed attempts).

Prompt Caching

All providers use optimized caching for cost reduction on follow-up queries:

ProviderTypeSavingsMin Tokens
OpenAIAutomatic50%1024
Gemini 2.5+Implicit90%-
AnthropicExplicit90%1024

Web Interface

A full-featured web app with solo mode, hivemind mode, and conversation history.

Quick Start
# Clone the repository
git clone https://github.com/QuantuLabs/hivemind.git
cd hivemind

# Install dependencies (requires Bun >= 1.0)
bun install

# Start development server
bun dev

Open http://localhost:3000, click the settings icon, and enter your API keys.

Features
  • Multi-Model Consensus: Query 3 leading AI models simultaneously
  • Deliberation Algorithm: Up to 3 rounds of refinement to reach consensus
  • Solo Mode: Chat with individual models (GPT, Claude, Gemini)
  • Hivemind Mode: Get synthesized responses from all models
  • Conversation History: Persistent chat sessions
  • Dark/Light Theme: Full theme support
  • Secure Storage: API keys encrypted with AES-GCM in browser
Security
  • API keys are encrypted using AES-GCM with PBKDF2 key derivation
  • Keys are stored locally in browser localStorage (never sent to servers)
  • Session persistence uses sessionStorage (cleared on browser close)

How Consensus Works

  1. Initial Query: All 3 models receive the same question
  2. Analysis: An orchestrator analyzes responses for agreements/divergences
  3. Refinement: If no consensus, models see other perspectives and refine (up to 3 rounds)
  4. Synthesis: Final response synthesizes agreed points and addresses divergences

Supported Models

OpenAI
  • GPT-5.2 (default)
  • GPT-5.1, GPT-5, GPT-5 Mini, GPT-5 Nano
  • O4 Mini
Anthropic
  • Claude Opus 4.5 (default)
  • Claude Sonnet 4.5, Claude Opus 4, Claude Sonnet 4
Google
  • Gemini 3 Pro (default)
  • Gemini 3 Flash, Gemini 2.5 Pro/Flash/Flash Lite, Gemini 2.0 Flash

Project Structure

hivemind/
├── apps/
│   └── web/              # Next.js 14 frontend
├── packages/
│   ├── core/             # Shared consensus logic & providers
│   └── mcp/              # Model Context Protocol server
└── .claude/              # Claude Code integration

Development

# Run all tests
bun test

# Run tests with coverage
bun test:coverage

# Build all packages
bun build

# Lint code
bun lint

License

MIT

Developed by QuantuLabs

Frequently asked questions

What is io.github.QuantuLabs/hivemind?

Query multiple AI models (OpenAI, Anthropic, Google) for consensus responses.

How do I install io.github.QuantuLabs/hivemind?

It runs on your machine. In Claude Code: claude mcp add hivemind -e 'OPENAI_API_KEY=<your openai_api_key>' -e 'GOOGLE_API_KEY=<your google_api_key>' -- npx -y @quantulabs/hivemind@0.1.3. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.QuantuLabs/hivemind need an API key?

Yes. It expects OPENAI_API_KEY, GOOGLE_API_KEY, which you set in its configuration.

Is io.github.QuantuLabs/hivemind open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.QuantuLabs/hivemind?

It is published by QuantuLabs. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.