head to head · open source
Agentic-Bug-Hunter vs beelzebub
Agentic-Bug-Hunter has 5,044 GitHub stars, 889 forks, 1 open issues and last shipped yesterday. beelzebub has 2,180 stars, 209 forks, 5 open issues and last shipped 6 days ago. Agentic-Bug-Hunter leads on adoption by 131% (5,044 vs 2,180 stars). Agentic-Bug-Hunter is written in Python under MIT; beelzebub is written in Go under GPL-3.0. Agentic-Bug-Hunter has attracted 18% as many forks as stars, beelzebub 10%. Agentic-Bug-Hunter was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| Agentic-Bug-Hunter | beelzebub | |
|---|---|---|
| GitHub stars | ★ 5.0K | ★ 2.2K |
| License | MIT | GPL-3.0 |
| Written in | Python | Go |
| Last push | 2026-09-19 | 2026-09-14 |
| Forks | ⑂ 889 | ⑂ 209 |
| 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
pick beelzebub if
- You want the beelzebub feature set and don't need the biggest community
- You prefer the GPL-3.0 license terms
- Your stack matches Go
- You evaluated both and beelzebub fits your workflow better
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 beelzebub
Beelzebub is an open source deception runtime framework written in Go and released under GPL 3.0. It operates in the cybersecurity and AI security ecosystem, where teams need controlled systems that attract and record activity aimed at decoy services. The project is a configurable runtime for honeypots, decoys, and agent facing bait tools, with documentation at docs.beelzebub.ai.
read the full beelzebub overview →
More in AI & Machine Learning
Related comparisons
More AI Security & Privacy projects
Compare either of these against the rest of the AI Security & Privacy field.
Frequently asked questions
Is Agentic-Bug-Hunter or beelzebub more popular?
Agentic-Bug-Hunter has 5,044 GitHub stars and beelzebub has 2,180. Agentic-Bug-Hunter has the larger community by that measure.
Are Agentic-Bug-Hunter and beelzebub free?
Both are open source. Agentic-Bug-Hunter is licensed under MIT and beelzebub under GPL-3.0. Neither carries a licence fee.
What is the difference between Agentic-Bug-Hunter and beelzebub?
Agentic-Bug-Hunter is written in Python and beelzebub in Go. 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 beelzebub?
Choose Agentic-Bug-Hunter if you want the larger community (5,044 stars) or its MIT licence terms. Choose beelzebub if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.