head to head · open source

CyberStrike vs pentest-ai

CyberStrike has 2,819 GitHub stars, 434 forks, 43 open issues and last shipped yesterday. pentest-ai has 1,685 stars, 314 forks, 2 open issues and last shipped 7 days ago. CyberStrike leads on adoption by 67% (2,819 vs 1,685 stars). CyberStrike is written in TypeScript under AGPL-3.0; pentest-ai is written in Python under MIT. CyberStrike has attracted 15% as many forks as stars, pentest-ai 19%. CyberStrike was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 6 topic tags (ai-penetration-testing, ai-pentesting, ai-security, bug-bounty), 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.

CyberStrike ★ 2.8K pentest-ai ★ 1.7K category AI & Machine Learning

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Side by side

CyberStrike pentest-ai
GitHub stars ★ 2.8K ★ 1.7K
License AGPL-3.0 MIT
Written in TypeScript Python
Last push 2026-09-19 2026-09-13
Forks ⑂ 434 ⑂ 314
Self-hosting Yes Yes
Data ownership Your server Your server

pick CyberStrike if

  • You weight community size — 2.8K stars and counting
  • You want the AGPL-3.0 license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full CyberStrike profile →

pick pentest-ai if

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

full pentest-ai profile →

About CyberStrike

CyberStrike is open source TypeScript project. It is AI powered offensive security harness. It lives in AI & Machine Learning / AI Security & Privacy ecosystem. It targets automated penetration testing. It solves problem of turning general AI model into red team agent. It uses terminal TUI. It connects Claude, GPT, or any LLM subscription. It handles reconnaissance, vulnerability discovery, exploitation, and reporting autonomously. It has 13+ specialized agents, 7,600+ security skills, and 120+ OWASP test cases. It supports 150+ AI providers, 5,300+ models, 56+ built in tools, and 176+ MCP tools. It has 2746 star…

read the full CyberStrike overview →

About pentest-ai

Pentest AI is an open source Python project that connects an AI client or model to a penetration testing workflow. It belongs to the AI security and application security ecosystem, and it is distributed under the MIT license. The project is published as ptai on PyPI and can be used through MCP, the CLI, or CI.

read the full pentest-ai overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More AI Security & Privacy projects

Compare either of these against the rest of the AI Security & Privacy field.

CyberStrike vs strix CyberStrike vs shannon CyberStrike vs SkillSpector CyberStrike vs iFixAi CyberStrike vs codex-security CyberStrike vs garak CyberStrike vs AI-Infra-Guard CyberStrike vs giskard-oss CyberStrike vs Agentic-Bug-Hunter CyberStrike vs nono CyberStrike vs AiSOC CyberStrike vs pentest-ai-agents

Frequently asked questions

Is CyberStrike or pentest-ai more popular?

CyberStrike has 2,819 GitHub stars and pentest-ai has 1,685. CyberStrike has the larger community by that measure.

Are CyberStrike and pentest-ai free?

Both are open source. CyberStrike is licensed under AGPL-3.0 and pentest-ai under MIT. Neither carries a licence fee.

What is the difference between CyberStrike and pentest-ai?

CyberStrike is written in TypeScript and pentest-ai 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, CyberStrike or pentest-ai?

Choose CyberStrike if you want the larger community (2,819 stars) or its AGPL-3.0 licence terms. Choose pentest-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.