head to head · open source
AI-Infra-Guard vs FuzzyAI
AI-Infra-Guard has 6,471 GitHub stars, 599 forks, 35 open issues and last shipped today. FuzzyAI has 1,576 stars, 217 forks, 7 open issues and last shipped 8 months ago. AI-Infra-Guard leads on adoption by 311% (6,471 vs 1,576 stars). AI-Infra-Guard is written in Python under Apache-2.0; FuzzyAI is written in Jupyter Notebook under Apache-2.0. AI-Infra-Guard has attracted 9% as many forks as stars, FuzzyAI 14%. AI-Infra-Guard was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (llm, llm-evaluation, llm-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
| AI-Infra-Guard | FuzzyAI | |
|---|---|---|
| GitHub stars | ★ 6.5K | ★ 1.6K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Jupyter Notebook |
| Last push | 2026-09-20 | 2026-02-06 |
| Forks | ⑂ 599 | ⑂ 217 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick AI-Infra-Guard if
- You weight community size — 6.5K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick FuzzyAI if
- You want the FuzzyAI feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Jupyter Notebook
- You evaluated both and FuzzyAI fits your workflow better
About AI-Infra-Guard
AI Infra Guard (A.I.G) is a full stack AI red teaming platform from Tencent Zhuque Lab that scans agents, MCP servers, agent skills and AI infrastructure for security risk and evaluates large language models against jailbreak attacks, built for security engineers and AI platform teams that need to self examine their own AI deployments.
read the full AI-Infra-Guard overview →
About FuzzyAI
FuzzyAI is an open source fuzzer for large language model APIs. It lives in the AI security and red teaming ecosystem. It uses automated prompt mutation to test whether a model or API accepts jailbreak attempts. The project helps developers and security researchers find, evaluate, and reduce exposure to harmful or unwanted model behavior.
read the full FuzzyAI overview →
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Frequently asked questions
Is AI-Infra-Guard or FuzzyAI more popular?
AI-Infra-Guard has 6,471 GitHub stars and FuzzyAI has 1,576. AI-Infra-Guard has the larger community by that measure.
Are AI-Infra-Guard and FuzzyAI free?
Both are open source. AI-Infra-Guard is licensed under Apache-2.0 and FuzzyAI under Apache-2.0. Neither carries a licence fee.
What is the difference between AI-Infra-Guard and FuzzyAI?
AI-Infra-Guard is written in Python and FuzzyAI in Jupyter Notebook. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, AI-Infra-Guard or FuzzyAI?
Choose AI-Infra-Guard if you want the larger community (6,471 stars) or its Apache-2.0 licence terms. Choose FuzzyAI if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.