head to head · open source

Agentic-Bug-Hunter vs pentest-ai

Agentic-Bug-Hunter has 5,044 GitHub stars, 889 forks, 1 open issues and last shipped yesterday. pentest-ai has 1,685 stars, 314 forks, 2 open issues and last shipped 7 days ago. Agentic-Bug-Hunter leads on adoption by 199% (5,044 vs 1,685 stars). Agentic-Bug-Hunter is written in Python under MIT; pentest-ai is written in Python under MIT. Agentic-Bug-Hunter has attracted 18% as many forks as stars, pentest-ai 19%. Agentic-Bug-Hunter was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai-security, bug-bounty, ethical-hacking), 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.

Agentic-Bug-Hunter ★ 5.0K pentest-ai ★ 1.7K category AI & Machine Learning

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Side by side

Agentic-Bug-Hunter pentest-ai
GitHub stars ★ 5.0K ★ 1.7K
License MIT MIT
Written in Python Python
Last push 2026-09-19 2026-09-13
Forks ⑂ 889 ⑂ 314
Self-hosting Yes Yes
Data ownership Your server Your server

pick Agentic-Bug-Hunter if

  • You weight community size — 5.0K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Agentic-Bug-Hunter 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 Agentic-Bug-Hunter

Agentic Bug Hunter is a Python MIT licensed AI security toolkit in the AI & Machine Learning / AI Security & Privacy category. It lives in bug bounty and penetration testing workflows, and it can run as a Claude Code plugin or as a standalone bughunter command. Maintained by AwareXone, it targets recon, vulnerability testing, validation, and report writing.

read the full Agentic-Bug-Hunter 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

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More AI Security & Privacy projects

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

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

Frequently asked questions

Is Agentic-Bug-Hunter or pentest-ai more popular?

Agentic-Bug-Hunter has 5,044 GitHub stars and pentest-ai has 1,685. Agentic-Bug-Hunter has the larger community by that measure.

Are Agentic-Bug-Hunter and pentest-ai free?

Both are open source. Agentic-Bug-Hunter is licensed under MIT and pentest-ai under MIT. Neither carries a licence fee.

What is the difference between Agentic-Bug-Hunter and pentest-ai?

Agentic-Bug-Hunter is written in Python 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, Agentic-Bug-Hunter or pentest-ai?

Choose Agentic-Bug-Hunter if you want the larger community (5,044 stars) or its MIT licence terms. Choose pentest-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.