MARL Enhance — Brain Upgrade for Your Agent

---

name: marl-middleware

description: Multi-stage multi-agent reasoning middleware that reduces LLM hallucination by 70%+. 9 specialized emergence engines for invention, creative, pharma, genomics, chemistry, ecology, law, recipe, and document generation.

tags: [reasoning, hallucination, multi-agent, metacognition, emergence, middleware]

metadata:

clawdbot:

config:

requiredEnv: []

example: |

llm:

baseURL: "http://localhost:8080/v1"

model: "gpt-5.4::create"

---

# MARL Enhance — Brain Upgrade for Your Agent

**The 3rd approach after fine-tuning & RAG.** MARL restructures how LLMs reason at runtime — not their weights. One line to integrate, 70%+ hallucination reduction, 9 domain-specific emergence engines.

[](https://pypi.org/project/marl-middleware/)

[](https://github.com/Vidraft/MARL)

[](https://huggingface.co/spaces/VIDraft/MARL)

[](https://huggingface.co/spaces/FINAL-Bench/Leaderboard)

What It Does

Before MARL: Your agent calls the LLM once → gets an answer (might hallucinate).

After MARL: Your agent calls MARL → MARL runs a multi-stage expert pipeline → hypothesis, solving, auditing, adversarial verification, synthesis → returns a deeply verified answer.

Your Agent → MARL → Multi-stage Pipeline → Any LLM → Verified Answer

**Results:** 70%+ hallucination reduction · 94.8% of improvement from self-correction · Verified on FINAL Bench (HuggingFace Global Top 5 dataset).

Setup

Option A: Docker (Recommended — all platforms)

docker run -p 8080:8080 vidraft/marl

Option B: pip (Linux x86_64)

pip install marl-middleware
python -m marl serve --port 8080

Option C: HuggingFace Space (No install — try instantly)

Use `https://huggingface.co/spaces/VIDraft/MARL` directly in your browser.

Connect to OpenClaw

Set your `config.json`:

{
  "llm": {
    "baseURL": "http://localhost:8080/v1",
    "model": "gpt-5.4"
  }
}

That's it. Every LLM call now passes through MARL's multi-stage reasoning pipeline.

9 Emergence Modes

Switch modes by appending `::mode` to any model name:

| model value | Engine | What it does |

|-------------|--------|-------------|

| `gpt-5.4` | 🔬 Insight | Default — fact-check, strategy, deep analysis |

| `gpt-5.4::invent` | 🔧 Invent | Patent-level invention via TRIZ + bio-inspired + contradiction resolution |

| `gpt-5.4::create` | ✨ Create | Cliché inversion, paradox, genre fusion, sensory collision |

| `gpt-5.4::recipe` | 🍳 Recipe | Culinary emergence with taste chemistry validation |

| `gpt-5.4::pharma` | 💊 Pharma | Drug repositioning, mechanism crossing, multi-target design |

| `gpt-5.4::genomics` | 🧬 Genomics | Pathway crosstalk, synthetic lethality, phenotype bridging |

| `gpt-5.4::chemistry` | 🧪 Chemistry | Contradictory properties, biomimicry, waste-to-value |

| `gpt-5.4::ecology` | 🌍 Ecology | Conservation transfer, threat inversion, service stacking |

| `gpt-5.4::law` | ⚖️ Law | Cross-jurisdiction transplant, tech-law collision resolution |

| `gpt-5.4::document` | 📄 Document | Metacognitive report and document generation |

Replace `gpt-5.4` with any model — Claude, Gemini, DeepSeek, Llama, etc.

Example: Switch to Pharma mode

{
  "llm": {
    "baseURL": "http://localhost:8080/v1",
    "model": "gpt-5.4::pharma"
  }
}

Then chat: *"Find drug repositioning candidates for Alzheimer's using immune checkpoint mechanisms"*

Example: Creative ideation

{
  "llm": {
    "model": "claude-sonnet::create"
  }
}

Then chat: *"Generate 10 movie loglines that have never existed before"*

How It Works

┌─ OpenClaw ────────────────────────────────────┐
│  "Analyze this complex question"               │
└──────────────┬─────────────────────────────────┘
               │ HTTP (OpenAI API format)
               ▼
┌─ MARL Middleware ─────────────────────────────┐
│  Multi-stage Multi-agent Reasoning Pipeline    │
│  9 Emergence Engines · 70%+ Hallucination ↓   │
└──────────────┬─────────────────────────────────┘
               │ API calls to your chosen LLM
               ▼
┌─ Any LLM ─────────────────────────────────────┐
│  GPT-5.4 · Claude · Gemini · DeepSeek · Llama │
└────────────────────────────────────────────────┘

MARL works with **every LLM** that supports OpenAI API format. It runs locally on your machine — your data never leaves your infrastructure.

Works With Any LLM

Links

About

Built by **VIDRAFT** (Seoul AI Hub). MARL's core engine is delivered as compiled binaries to protect proprietary technology. Interface code is open for integration.

Apache 2.0 · Contact: arxivgpt@gmail.com