head to head · open source
Agentic-Bug-Hunter vs pentest-ai
Agentic-Bug-Hunter has 5,596 GitHub stars, 985 forks, 1 open issues and last shipped 8 days ago. pentest-ai has 1,799 stars, 329 forks, 2 open issues and last shipped 2 days ago. Agentic-Bug-Hunter leads on adoption by 211% (5,596 vs 1,799 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 18%. pentest-ai was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (ai-security, appsec, 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.
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Side by side
| Agentic-Bug-Hunter | pentest-ai | |
|---|---|---|
| GitHub stars | ★ 5.6K | ★ 1.8K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-10-28 | 2026-11-03 |
| Forks | ⑂ 985 | ⑂ 329 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Agentic-Bug-Hunter if
- You weight community size — 5.6K stars and counting
- You want the MIT license terms
- Your stack matches Python
- 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 Agentic-Bug-Hunter
AI powered bug bounty hunting recon to report, in your terminal. Free Setup · Quick Start · Commands · What It Finds · Install · Support · FAQ Built and maintained by AwareXone · Website · X · GitHub Trusted By Engineers At Where this project's stargazers say they work. Compiled from public GitHub profiles of this repository's stargazers 43 people across 30 organizations, counted from the employer each person lists on their own profile or from their public organization memberships. No individual accounts are named. These companies have not endorsed or sponsored this project; their logos are shown as trademarks…
read the full Agentic-Bug-Hunter 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 Agentic-Bug-Hunter or pentest-ai more popular?
Agentic-Bug-Hunter has 5,596 GitHub stars and pentest-ai has 1,799. 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 (5,596 stars) or its MIT licence terms. Choose pentest-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.