Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by infiniflow · MCP Server · ★ 90.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ragflow safe to install? View the security audit →
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| Stars | 90,924 |
| Forks | 10,768 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 63.2631773617152/100 |
| Open Issues | 1437 |
| Last Updated | 2026-09-18 |
| Created | 2023-12-12 |
| Platforms | mcp, python |
| Est. Tokens | ~7653k |
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ragflow is RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs. It is categorized as a MCP Server with 90.9k GitHub stars.
ragflow is primarily written in Python. It covers topics such as agent, agentic, agentic-ai.
You can find installation instructions and usage details in the ragflow GitHub repository at github.com/infiniflow/ragflow. The project has 90.9k stars and 10768 forks, indicating an active community.
ragflow is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ragflow on Agent Skills Hub include dify, deer-flow, headroom. 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: