head to head · open source
PyRIT vs pentest-ai-agents
PyRIT has 4,731 GitHub stars, 1,012 forks, 281 open issues and last shipped today. pentest-ai-agents has 2,400 stars, 452 forks, 1 open issues and last shipped 28 days ago. PyRIT leads on adoption by 97% (4,731 vs 2,400 stars). PyRIT is written in Python under MIT; pentest-ai-agents is written in Shell under MIT. PyRIT has attracted 21% as many forks as stars, pentest-ai-agents 19%. PyRIT was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-security), 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
| PyRIT | pentest-ai-agents | |
|---|---|---|
| GitHub stars | ★ 4.7K | ★ 2.4K |
| License | MIT | MIT |
| Written in | Python | Shell |
| Last push | 2026-11-03 | 2026-10-06 |
| Forks | ⑂ 1.0K | ⑂ 452 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PyRIT if
- You weight community size — 4.7K 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-agents if
- You want the pentest-ai-agents feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Shell
- You evaluated both and pentest-ai-agents fits your workflow better
About PyRIT
Python Risk Identification Tool for generative AI (PyRIT) The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems. Check out our website for more information about how to use, install, or contribute to PyRIT. Review our security policy to report vulnerabilities privately through the Microsoft Security Response Center. Visit our Discord server to chat with the team and community. Trademarks and Citations This project may contain trademarks or logos for projects, products…
read the full PyRIT overview →
About pentest-ai-agents
pentest ai agents 50 Claude Code subagents for penetration testing. Quick Start Cheatsheet Coverage Agents Examples Table of Contents What's New in v3.3 What's New in v3.2 Agent Map What's New in v3.1 Quick Start Cheatsheet Coverage Agents Tier 1 vs Tier 2 Examples Running Tools in a Container Findings Database Token Optimization Local Models Documentation MCP Server Prerequisites Legal License pentest ai agents is a collection of 50 Claude Code subagents that turn Claude into an offensive security research assistant. Each agent carries deep domain knowledge in a specific area: recon, web, Active Directory…
read the full pentest-ai-agents overview →
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Frequently asked questions
Is PyRIT or pentest-ai-agents more popular?
PyRIT has 4,731 GitHub stars and pentest-ai-agents has 2,400. PyRIT has the larger community by that measure.
Are PyRIT and pentest-ai-agents free?
Both are open source. PyRIT is licensed under MIT and pentest-ai-agents under MIT. Neither carries a licence fee.
What is the difference between PyRIT and pentest-ai-agents?
PyRIT is written in Python and pentest-ai-agents in Shell. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, PyRIT or pentest-ai-agents?
Choose PyRIT if you want the larger community (4,731 stars) or its MIT licence terms. Choose pentest-ai-agents if its feature set, stack or MIT licence fits better. Both are self-hostable.