head to head · open source
AI-Infra-Guard vs stride-gpt
AI-Infra-Guard has 6,471 GitHub stars, 599 forks, 35 open issues and last shipped today. stride-gpt has 1,125 stars, 326 forks, 12 open issues and last shipped 5 days ago. AI-Infra-Guard leads on adoption by 475% (6,471 vs 1,125 stars). AI-Infra-Guard is written in Python under Apache-2.0; stride-gpt is written in Python under MIT. AI-Infra-Guard has attracted 9% as many forks as stars, stride-gpt 29%. AI-Infra-Guard was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-security, llm), 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 | stride-gpt | |
|---|---|---|
| GitHub stars | ★ 6.5K | ★ 1.1K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-09-20 | 2026-09-15 |
| Forks | ⑂ 599 | ⑂ 326 |
| 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 stride-gpt if
- You want the stride-gpt feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and stride-gpt 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 stride-gpt
STRIDE GPT is an MIT licensed Python threat modeling tool that uses large language models — OpenAI GPT, Anthropic Claude, Google Gemini and Mistral — to generate STRIDE threat models, attack trees, mitigations and Gherkin test cases from a description of an application, aimed at security engineers, AppSec teams and developers who need a structured threat model during design review rather than weeks after a manual workshop.
read the full stride-gpt overview →
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Frequently asked questions
Is AI-Infra-Guard or stride-gpt more popular?
AI-Infra-Guard has 6,471 GitHub stars and stride-gpt has 1,125. AI-Infra-Guard has the larger community by that measure.
Are AI-Infra-Guard and stride-gpt free?
Both are open source. AI-Infra-Guard is licensed under Apache-2.0 and stride-gpt under MIT. Neither carries a licence fee.
What is the difference between AI-Infra-Guard and stride-gpt?
AI-Infra-Guard is written in Python and stride-gpt 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, AI-Infra-Guard or stride-gpt?
Choose AI-Infra-Guard if you want the larger community (6,471 stars) or its Apache-2.0 licence terms. Choose stride-gpt if its feature set, stack or MIT licence fits better. Both are self-hostable.