head to head · open source

ragflow vs VulnClaw

ragflow has 93,496 GitHub stars, 11,224 forks, 1,525 open issues and last shipped yesterday. VulnClaw has 3,876 stars, 539 forks, 13 open issues and last shipped 6 days ago. ragflow leads on adoption by 2,312% (93,496 vs 3,876 stars). ragflow is written in Go under Apache-2.0; VulnClaw is written in Python under MIT. ragflow has attracted 12% as many forks as stars, VulnClaw 14%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

ragflow ★ 93K VulnClaw ★ 3.9K category AI & Machine Learning

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Side by side

ragflow VulnClaw
GitHub stars ★ 93K ★ 3.9K
License Apache-2.0 MIT
Written in Go Python
Last push 2026-11-04 2026-10-30
Forks ⑂ 11K ⑂ 539
Self-hosting Yes Yes
Data ownership Your server Your server

pick ragflow if

  • You weight community size — 93K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full ragflow profile →

pick VulnClaw if

  • You want the VulnClaw feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and VulnClaw fits your workflow better

full VulnClaw profile →

About ragflow

Cloud Documentation Roadmap Discord 📕 Table of Contents 💡 What is RAGFlow? 🎮 Get Started 🔥 Latest Updates 🌟 Key Features 🔎 System Architecture 🎬 Self Hosting 🔧 Configurations 🔧 Build a Docker Image 🔨 Launch Service from Source for Development 📚 Documentation 📜 Roadmap 🏄 Community 🙌 Contributing 💡 What is RAGFlow? 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 offers a streamlined RAG workflow adaptable to enterprises of any scale. Powered by a converged context engine…

read the full ragflow overview →

About VulnClaw

VulnClaw 🦞 AI 驱动的渗透测试 CLI 工具 — 说人话,打漏洞。 🌐 English version : README EN.md 本项目是可独立运行的 AI 渗透测试 Agent。 项目官网: 基于 LLM Agent + MCP 工具链 + 可选 Skill 参考资料, 配合 OpenAI / Anthropic / MiniMax / DeepSeek 等兼容模型, 自然语言输入 → 自动完成「信息收集 → 漏洞发现 → 漏洞利用 → 报告生成」全流程。 快速开始 · 架构 · 内置 Skill 它能做什么 输入自然语言,AI 自动执行渗透测试全流程: 适用于已授权的渗透测试、CTF 竞赛、安全教学、红队演练等场景。 特性 模型主导求解引擎(默认) — 类似 Claude Code/Codex 的自主循环,模型自己决定下一步、何时调用工具、何时完成/询问/判定无路可走 AgentState 证据记忆 — 工具结果统一写入 AgentState.evidence ,raw 原文完整保留;active context 默认只注入高信号预览, evidence search / evidence view 用于按需回查原始证据 轻量纠偏层 — 工具调用前后记录重复调用、失败降级、耗时和新发现等信号;重复读取同一 evidence 范围会被抑制,连续证据空转会触发 stall…

read the full VulnClaw overview →

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Frequently asked questions

Is ragflow or VulnClaw more popular?

ragflow has 93,496 GitHub stars and VulnClaw has 3,876. ragflow has the larger community by that measure.

Are ragflow and VulnClaw free?

Both are open source. ragflow is licensed under Apache-2.0 and VulnClaw under MIT. Neither carries a licence fee.

What is the difference between ragflow and VulnClaw?

ragflow is written in Go and VulnClaw in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, ragflow or VulnClaw?

Choose ragflow if you want the larger community (93,496 stars) or its Apache-2.0 licence terms. Choose VulnClaw if its feature set, stack or MIT licence fits better. Both are self-hostable.