MMGraphRAG: Multi-modal knowledge graph-based framework designed to enhance complex reasoning tasks, such as multi-modal

by wanxueyao · Agent Tool · ★ 94

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Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars94
Forks15
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score62/100
Last Updated2026-03-10
Created2025-04-18
Platformspython
Est. Tokens~17k

About MMGraphRAG

🎉 MMGraphRAG ✨ A Multi-Modal Knowledge Graph RAG Framework ✨ From documents to multi-modal knowledge graphs — an all-in-one MMGraphRAG solution 🇨🇳 中文文档 🌟 Key Features 📊 Multi-Modal Knowledge Graph Text + Image unified modeling YOLO-based intelligent image segmentation Multi-modal entity fusion (spectral clustering) 🔍 Intelligent RAG Retrieval Semantic similarity entity retrieval Multi-modal...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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