head to head · open source
Dify vs VulnClaw
Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. VulnClaw has 3,853 stars, 536 forks, 13 open issues and last shipped 4 days ago. Dify leads on adoption by 4,059% (160,251 vs 3,853 stars). Dify is written in Python under a custom or non-standard licence; VulnClaw is written in Python under MIT. Dify has attracted 16% as many forks as stars, VulnClaw 14%. Dify 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.
← all 20902 open source comparisons
Side by side
| Dify | VulnClaw | |
|---|---|---|
| GitHub stars | ★ 160K | ★ 3.9K |
| License | Custom / other | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-30 |
| Forks | ⑂ 25K | ⑂ 536 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 160K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
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
About Dify
Dify Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the…
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 →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is Dify or VulnClaw more popular?
Dify has 160,251 GitHub stars and VulnClaw has 3,853. Dify has the larger community by that measure.
Are Dify and VulnClaw free?
Both are open source. Dify has no licence declared in this registry, and VulnClaw is licensed under MIT. Both are free to self-host.
What is the difference between Dify and VulnClaw?
Dify is written in Python 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, Dify or VulnClaw?
Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose VulnClaw if its feature set, stack or MIT licence fits better. Both are self-hostable.