head to head · open source
CyberStrike vs pentest-ai
CyberStrike has 3,374 GitHub stars, 583 forks, 43 open issues and last shipped 3 days ago. pentest-ai has 1,799 stars, 329 forks, 2 open issues and last shipped 2 days ago. CyberStrike leads on adoption by 88% (3,374 vs 1,799 stars). CyberStrike is written in TypeScript under AGPL-3.0; pentest-ai is written in Python under MIT. CyberStrike has attracted 17% as many forks as stars, pentest-ai 18%. pentest-ai 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.
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Side by side
| CyberStrike | pentest-ai | |
|---|---|---|
| GitHub stars | ★ 3.4K | ★ 1.8K |
| License | AGPL-3.0 | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-11-02 | 2026-11-03 |
| Forks | ⑂ 583 | ⑂ 329 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick CyberStrike if
- You weight community size — 3.4K 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
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
About CyberStrike
English 简体中文 繁體中文 한국어 Deutsch Español Français Italiano Dansk 日本語 Polski Русский Bosanski العربية Norsk Português (Brasil) ไทย Türkçe Українська বাংলা Ελληνικά Tiếng Việt हिन्दी The first open source AI agent built for offensive security. Automated penetration testing from your terminal — plug in your Claude, GPT, or any LLM subscription and turn it into an autonomous red team agent with 13+ specialized agents, 7,600+ security skills, and 120+ OWASP test cases. 150+ AI providers • 5,300+ models • 56+ built in tools • 176+ MCP tools Quick Start • Intelligence Layer • What Makes It…
read the full CyberStrike overview →
About pentest-ai
Website · Quick start · Verification · Documentation · Issues Pentest AI connects an AI client or model to a penetration testing workflow. It investigates applications, records findings, and uses machine oracles to check whether an exploit can be reproduced . Verified findings carry evidence you can replay. Use it through MCP , from the CLI , or in CI . The model helps drive the investigation; an oracle determines whether a finding earns a verified verdict. Test only systems you own or have explicit authorization to assess. Read the acceptable use policy and terms before running an engagement. Quick start…
read the full pentest-ai overview →
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Frequently asked questions
Is CyberStrike or pentest-ai more popular?
CyberStrike has 3,374 GitHub stars and pentest-ai has 1,799. 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 (3,374 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.