No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by HKUDS · Agent Tool · ★ 40.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is LightRAG safe to install? View the security audit →
🚀 LightRAG: Simple and Fast Retrieval-Augmented Generation <img src="https://img.shie
| Stars | 39,955 |
| Forks | 5,649 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61.948305801124/100 |
| Open Issues | 313 |
| Last Updated | 2026-10-03 |
| Created | 2024-10-02 |
| Platforms | cli, python |
| Est. Tokens | ~21k |
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LightRAG is [EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation. It is categorized as a Agent Tool with 40.0k GitHub stars.
LightRAG is primarily written in Python. It covers topics such as docling, genai, gpt.
You can find installation instructions and usage details in the LightRAG GitHub repository at github.com/HKUDS/LightRAG. The project has 40.0k stars and 5649 forks, indicating an active community.
LightRAG is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to LightRAG on Agent Skills Hub include ragflow, dify, code-review-graph. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: