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AI Orchestrator

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Enables multi-strategy AI orchestration including council decision review, debate, brainstorming, evaluation, and spec review, with support for multiple LLM pro

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Описание

Enables multi-strategy AI orchestration including council decision review, debate, brainstorming, evaluation, and spec review, with support for multiple LLM providers and advisor personas.

README

Advanced AI orchestration engine — multi-advisor councils, structured debates, creative brainstorming, and multi-criteria evaluation. Works as an MCP (Model Context Protocol) server with any compatible AI tool.

Supports: OpenCode, Claude Code, Cursor, Windsurf, Continue, Cline, Copilot, and any MCP-compatible client.


✨ Features

5 Orchestration Strategies

Strategy Description Use Case
Council 🏛️ Multi-advisor decision review with anonymous peer evaluation (Karpathy method) Critical decisions, risk assessment
Debate ⚔️ Structured pro/con debate with judge verdict Go/no-go decisions, tradeoff analysis
Brainstorm 💡 Creative idea generation with scoring and clustering Feature discovery, product innovation
Evaluate 📊 Multi-criteria option scoring with weighted analysis Vendor selection, tech choices
Spec Review 🔍 Specialist review from multiple angles (security, UX, DevOps, etc.) Pre-implementation plan review

15+ Advisor Personas

Persona Stance Specialty Language
Skeptic (Muhalif) Critical Risk detection, failure modes EN / TR
First Principles (İlk İlkeler) Analytical Assumption deconstruction EN / TR
Expansionist (Genişlemeci) Creative Opportunity discovery EN / TR
Outsider (Yabancı) Neutral Jargon-free fresh eyes EN / TR
Executor (İcracı) Practical Implementation, first steps EN / TR
Visionary Creative Future opportunities
Pragmatist Practical Feasibility, resource constraints
Security Auditor Critical Attack surfaces, data exposure
UX Advocate Critical User journey, accessibility
Business Analyst Analytical ROI, market positioning
DevOps Engineer Practical Deployability, scaling
Ethicist Analytical Fairness, societal impact
Architect Analytical System design, patterns
Tester Critical Edge cases, testability
Growth Hacker Creative Metrics, viral loops

Turkish advisors (Muhalif, İlk İlkeler, Genişlemeci, Yabancı, İcracı) are available for Turkish-language decisions. The rest respond in English by default but support any language the question is asked in.

Pre-built Councils

Council Advisors Language Use Case
Executive Board Skeptic, Visionary, Pragmatist, Security, Business, UX EN General business decisions
Akıl Kurulu Muhalif, İlk İlkeler, Genişlemeci, Yabancı, İcracı TR Turkish-language decisions
Tech Review Architect, Security, DevOps, Tester EN Architecture/stability review
Ethics Board Ethicist, UX, Skeptic, Business EN Ethical impact assessment
Quick Check Skeptic, Pragmatist, Visionary EN Fast 3-advisor decision

Multi-Provider Support

Provider Setup
OpenAI OPENAI_API_KEY
Anthropic (Claude) ANTHROPIC_API_KEY
OpenRouter OPENROUTER_API_KEY
Ollama (local) No key needed — just run ollama serve
Groq GROQ_API_KEY
Google (Gemini) GOOGLE_API_KEY
DeepSeek DEEPSEEK_API_KEY

🚀 Quick Start

Prerequisites

  • Node.js 18+
  • At least one LLM provider API key (or Ollama running locally)

Install & Configure

# Clone
git clone https://github.com/YOUR_USER/ai-orchestrator.git
cd ai-orchestrator

# Install
npm install
npm run build

# Configure at least one provider
export OPENAI_API_KEY="sk-..."
# OR
export ANTHROPIC_API_KEY="sk-ant-..."
# OR run Ollama locally: ollama serve

Add to Your AI Tool

OpenCode

// opencode.json
{
  "mcpServers": {
    "ai-orchestrator": {
      "command": "node",
      "args": ["/path/to/ai-orchestrator/dist/index.js"],
      "env": {
        "OPENAI_API_KEY": "${OPENAI_API_KEY}"
      }
    }
  }
}

Claude Code

// .claude/mcp.json
{
  "mcpServers": {
    "ai-orchestrator": {
      "command": "node",
      "args": ["/path/to/ai-orchestrator/dist/index.js"],
      "env": {
        "ANTHROPIC_API_KEY": "${ANTHROPIC_API_KEY}"
      }
    }
  }
}

Cursor / Windsurf

Add to Cursor MCP settings or .cursor/mcp.json:

{
  "mcpServers": {
    "ai-orchestrator": {
      "command": "node",
      "args": ["/absolute/path/to/ai-orchestrator/dist/index.js"]
    }
  }
}

📖 Usage

Once configured, call any tool from your AI assistant:

Council (Decision Review)

Use the orchestrate tool to review: "Should we rewrite our Bootstrap themes to Tailwind?"

Strategy: council
Council: executive_board

Returns: 6 independent advisor opinions → anonymous peer review → chairman synthesis with recommendations.

Debate (Pro/Con Analysis)

Orchestrate a debate on: "Should we adopt microservices?"

Strategy: debate
Rounds: 3

Brainstorm (Idea Generation)

Brainstorm ideas for: "How to improve developer onboarding?"

Strategy: brainstorm

Evaluate (Option Scoring)

Evaluate these database options: PostgreSQL, MongoDB, Supabase
Criteria: Performance (0.4), Ease of Use (0.3), Cost (0.3)

Strategy: evaluate

Spec Review (Plan Audit)

Review this architecture spec from security, performance, and UX perspectives.

Strategy: spec-review

Council with Per-Advisor Provider Routing

Each advisor can use a different LLM provider/model when multiple API keys are configured:

Evaluate: "Should we migrate to microservices?"

Strategy: council
Council: executive_board
Advisors:
  - id: skeptic
    provider: deepseek
  - id: visionary
    provider: anthropic
  - id: pragmatist
    provider: openai
    model: gpt-4o
  - id: security_auditor
    provider: groq
  - id: business_analyst
    provider: google
  - id: ux_advocate
    provider: openrouter

Advisors without a provider spec use auto-detected providers in round-robin. If no API keys are configured, simulation mode runs all advisors using the calling AI's own intelligence.


🔧 Architecture

src/
├── index.ts          # MCP Server entry point (4 tools exposed)
├── types.ts          # TypeScript type definitions
├── personas.ts       # 15+ advisor personas + 5 council presets
├── providers.ts      # LLM provider layer (7 providers)
└── strategies/
    ├── council.ts    # Karpathy 3-stage multi-advisor council
    ├── debate.ts     # Structured pro/con debate with judge
    ├── brainstorm.ts # Creative brainstorming with clustering
    └── evaluate.ts   # Multi-criteria evaluation + spec review

Council Flow (Karpathy Method)

                    ┌─────────────┐
                    │  Question   │
                    └──────┬──────┘
            ┌──────────────┼──────────────┐
      ┌─────▼─────┐ ┌─────▼─────┐ ┌─────▼─────┐
      │ Advisor A │ │ Advisor B │ │ Advisor N │  ← Parallel (isolated)
      │ (Skeptic) │ │(Visionary)│ │  (...)    │
      └─────┬─────┘ └─────┬─────┘ └─────┬─────┘
            └──────────────┼──────────────┘
                     ┌─────▼─────┐
                     │ Anonymize │              ← Anonymous review
                     └─────┬─────┘
            ┌──────────────┼──────────────┐
      ┌─────▼─────┐ ┌─────▼─────┐ ┌─────▼─────┐
      │ Peer Rev A│ │ Peer Rev B│ │ Peer Rev N│
      └─────┬─────┘ └─────┬─────┘ └─────┬─────┘
            └──────────────┼──────────────┘
                     ┌─────▼─────┐
                     │ Chairman  │              ← Synthesis
                     │ Verdict   │
                     └───────────┘

🌐 Multi-Language Support

The system is English-first but fully multi-language:

  • Executive Board, Tech Review, Ethics Board, Quick Check → English by default
  • Akıl Kurulu → Turkish advisors for Turkish-language decisions
  • You can ask questions in any language — the system matches the input language
  • Advisors defined in Turkish (Muhalif, İlk İlkeler, etc.) will respond in Turkish when used
  • The simulation mode (no API keys) also supports any language the calling AI understands

🛠️ Development

npm install        # Install dependencies
npm run build      # Compile TypeScript
npm run dev        # Watch mode
npm start          # Run server directly

📄 License

MIT — see LICENSE


🙏 Credits


Made for AI-powered decision making. Ship with confidence.

from github.com/halitartuc/ai-orchestrator

Установка AI Orchestrator

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/halitartuc/ai-orchestrator

FAQ

AI Orchestrator MCP бесплатный?

Да, AI Orchestrator MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для AI Orchestrator?

Нет, AI Orchestrator работает без API-ключей и переменных окружения.

AI Orchestrator — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить AI Orchestrator в Claude Desktop, Claude Code или Cursor?

Открой AI Orchestrator на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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