Overview
- Skill Key
- cutechicken99/marl-middleware
- Author
- cutechicken99
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/cutechicken99/marl-middleware
- Latest Commit SHA
- dfca7433707d2ab99f40a3bbc0b1da33b2a4ae99
Official OpenClaw
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marl-middleware
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.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
安装方式
直接复制以下提示词，发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 marl-middleware 技能。 若已安装，则直接安装 marl-middleware 技能。
Extracted Content
SKILL.md excerpt
# 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)
```bash
docker run -p 8080:8080 vidraft/marl
```
### Option B: pip (Linux x86_64)
```bash
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`:
```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 |
|-------------|--------|-------------|
| `g...
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