ИИ-агенты
modelscan
Scan AI models for serialization attacks before you load them.
★ 781 звездаApache-2.0
Смотреть руководство →garak — проект с открытым исходным кодом из категории «ИИ-агенты» от NVIDIA (NVIDIA/garak на GitHub). У него 9 497 звёзд на GitHub и 1 349 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 7 октября 2026.
Scan your LLM for vulnerabilities before attackers do.
Write down the job you will use the project for before touching any code.
Download the source and read the README's setup section first.
Run the install steps and add any required API keys or config.
Follow the example in the docs to confirm everything works.
Probes models for known weakness classes.
Maintained under NVIDIA's organization.
Built for pre-deployment adversarial testing.
Scriptable and extensible in Python.
Permissive licensing.
Discord plus 1,300+ forks.
Install garak from PyPI.
pip install -U garakChoose the model or endpoint you want to probe.
# local model or API endpoint — see docsLaunch a probe run per the documentation.
garak --help
# see docs for scan commandsIt is maintained under NVIDIA at NVIDIA/garak, with 1,349 forks.
Yes. It is released under the Apache-2.0 license, which permits commercial use, modification, and redistribution. Read the LICENSE file for the exact terms.
Scanning itself is local; you need access to the target model, via API or a local deployment.
Compare on probe coverage and reporting for the model types you ship.
Install the package and follow the docs to run your first scan against a test model.
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Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если garak вам не подходит.
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Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к garak — продолжайте изучать полку по обе стороны от него.
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