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DEPRECATED — This repository has been consolidated into mdo-nexus-ooda. No further updates here.

                    ╔═══════════════════════════════════════════════╗
                    ║                                               ║
                    ║     M  D  O    C O M M A N D    C E N T E R   ║
                    ║                                               ║
                    ║         Multi-Domain Operations                ║
                    ║         AI Agent Orchestration Hub             ║
                    ║                                               ║
                    ╚═══════════════════════════════════════════════╝

version node zero-deps tests license

A terminal-native command center that orchestrates multiple AI agents
through OODA Loop decision cycles and Multi-Domain Operations doctrine.

Quick Start · Architecture · Adapters · Commands · OODA Engine


Philosophy

Route the right model to the right task at the right tempo.

MDO Command Center applies military decision-making frameworks to AI agent orchestration. The OODA Loop (Observe-Orient-Decide-Act) drives automatic model selection, while Multi-Domain Operations partitions tasks across five operational domains. Zero external dependencies. Pure Node.js. Runs anywhere.


Quick Start

# install globally
git clone https://github.com/hugefisco94/mdo-command-center.git
cd mdo-command-center
npm link

# launch interactive command center
mdo

# single-shot execution
mdo exec "refactor the auth module"

# multi-model parallel fan-out
mdo swarm "analyze this architecture"

Architecture

    ┌─────────────────────────────────────────────────────────────┐
    │                        U I   L A Y E R                      │
    │              repl.js  ·  display.js  ·  report-ko.js        │
    ├─────────────────────────────────────────────────────────────┤
    │                   O R C H E S T R A T O R                   │
    │               dispatcher.js  ·  swarm.js                    │
    ├─────────────────────────────────────────────────────────────┤
    │                     A D A P T E R S                         │
    │    codex  ·  gemini  ·  opencode  ·  elice  ·  harness     │
    ├─────────────────────────────────────────────────────────────┤
    │                   C O R E   D O M A I N                     │
    │        ooda-engine  ·  mdo-domains  ·  mission              │
    └─────────────────────────────────────────────────────────────┘
              ▲ dependencies flow inward — zero I/O in core

Four layers. Clean Architecture. Dependencies point inward only. The core domain contains pure logic with no I/O — portable, testable, deterministic.

mdo-command-center/
├── bin/mdo.js                  # CLI entry point
├── src/
│   ├── config.js               # Environment & routing config
│   ├── core/                   # Domain logic (innermost)
│   │   ├── ooda-engine.js      # OODA state machine
│   │   ├── mdo-domains.js      # 5-domain keyword resolver
│   │   └── mission.js          # Mission lifecycle tracker
│   ├── adapters/               # External interfaces (ports)
│   │   ├── base-adapter.js     # Abstract adapter contract
│   │   ├── codex.js            # OpenAI Codex CLI
│   │   ├── gemini.js           # Google Gemini CLI
│   │   ├── opencode.js         # OpenCode CLI
│   │   ├── elice.js            # Elice Cloud LiteLLM
│   │   ├── harness.js          # Harness.io Pipeline API
│   │   └── index.js            # Adapter factory
│   ├── orchestrator/           # Use-case coordination
│   │   ├── dispatcher.js       # OODA-phase routing
│   │   └── swarm.js            # Multi-model fan-out
│   └── ui/                     # Terminal interface (outermost)
│       ├── repl.js             # Interactive REPL
│       ├── display.js          # ANSI rendering
│       └── report-ko.js        # Korean ops report
└── test/run.js                 # 37 unit tests

OODA Engine

The decision loop that drives every dispatch.

          ┌──────────┐
          │ OBSERVE  │ ◄─── Gather context, scan input
          └────┬─────┘      Default: Gemini (1M context)
               │
          ┌────▼─────┐
          │  ORIENT  │ ◄─── Analyze, pattern-match
          └────┬─────┘      Default: Codex (code analysis)
               │
          ┌────▼─────┐
          │  DECIDE  │ ◄─── Plan, architect
          └────┬─────┘      Default: OpenCode (planning)
               │
          ┌────▼─────┐
          │   ACT    │ ◄─── Execute, generate, deploy
          └────┬─────┘      Default: Codex (code generation)
               │
               └──────────► cycle++

Three operational tempos: strategic · operational · tactical

Each phase auto-selects the optimal adapter. Override anytime with use <adapter> or phase <name>.


Adapters

Five adapters. Three local CLIs, one cloud proxy, one CI/CD pipeline.

Adapter Engine Invocation Strength
Codex gpt-5.3-codex codex exec "prompt" Code generation, review
Gemini gemini-3 gemini -p "prompt" Large-context analysis
OpenCode opencode-cli opencode run "prompt" Architecture, planning
Elice LiteLLM proxy HTTP /v1/chat/completions Cloud-scale inference
Harness Pipeline API REST + PAT auth CI/CD automation

Swarm Mode

Fan out a single prompt to multiple models simultaneously via Elice Cloud LiteLLM.

                         ┌─── gemini-flash ───┐
                         ├─── deepseek-v3  ───┤
    prompt ──► SWARM ────┼─── qwen3-coder  ───┼──► aggregate
                         ├─── claude-haiku ───┤
                         └─── deepseek-r1  ───┘

Three tiers: t1_fast (3-10s) · t2_power (5-15s) · t3_deep (15-30s)


MDO Domains

Five operational domains with bilingual keyword detection.

    ┌──────────────┬──────────────┬──────────────┬──────────────┬──────────────┐
    │     CODE     │    ORCH      │     DATA     │    INFRA     │    INTEL     │
    │              │              │              │              │              │
    │  refactor    │  deploy      │  analyze     │  server      │  security    │
    │  test        │  pipeline    │  document    │  docker      │  recon       │
    │  debug       │  ci/cd       │  research    │  kubernetes  │  audit       │
    │  코드        │  배포        │  데이터      │  인프라      │  보안        │
    │  리팩토링    │  파이프라인  │  분석        │  서버        │  정찰        │
    ├──────────────┴──────────────┴──────────────┴──────────────┴──────────────┤
    │                        keyword resolver (EN + KR)                        │
    └─────────────────────────────────────────────────────────────────────────┘

Commands

Interactive REPL

mdo                         # launch command center
Command Description
<any text> Dispatch to AI via OODA-routed adapter
status Display OODA state, domains, adapter health
probe Check all adapter availability
advance Step OODA to next phase
phase <name> Force OODA phase
tempo <level> Set operational tempo
use <adapter> <msg> Direct adapter invocation
swarm <msg> Multi-model parallel dispatch
mission create <intent> Create tracked mission
mission list List active missions
deploy Trigger Harness pipeline
report Generate Korean ops report

Non-Interactive

mdo exec "review this codebase for security issues"
mdo swarm "compare three approaches to state management"
mdo status
mdo deploy

Configuration

Create .env in the project root for sensitive values:

HARNESS_PAT=pat.xxxxx
HARNESS_ACCOUNT=your_account_id
ELICE_URL=http://localhost:8100
ELICE_KEY=sk-elice-litellm-key

Adapter binaries are auto-detected from PATH. Override in src/config.js if needed.


Design Principles

  CLEAN ARCHITECTURE          OODA LOOP              HARNESS ENGINEERING
  ─────────────────          ─────────              ────────────────────
  · Inward dependency        · Tempo-driven         · Pipeline as Code
  · Port/Adapter pattern     · Phase-aware routing   · Automated triggers
  · Pure domain core         · Cycle counting        · Execution tracking
  · Zero I/O in core         · Auto-advance          · Continuous delivery
  • Zero external dependencies — stdlib only, audit-friendly, portable
  • Bilingual keyword detection — English and Korean domain resolution
  • Graceful degradation — adapters fail independently with fallback chains
  • Operational telemetry — call counts, error rates, latency tracking per adapter

Verification

  37/37 unit tests passing
   5/5  adapters operational
   4/4  live model responses confirmed
   0    external dependencies

    ┌─────────────────────────────────────────────┐
    │                                             │
    │   observe  →  orient  →  decide  →  act     │
    │                                             │
    │          the loop never stops.              │
    │                                             │
    └─────────────────────────────────────────────┘

Built with discipline. Operated with tempo.

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Multi-Domain Operations Command Center — OODA Loop + Clean Architecture CLI for AI Agent Orchestration

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