Agents IA
garak
Scan your LLM for vulnerabilities before attackers do.
★ 9,5 k étoilesApache-2.0
Voir le guide →modelscan est un projet de agents IA open source, créé par protectai (protectai/modelscan sur GitHub). Il compte 781 étoiles sur GitHub et 168 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 28 septembre 2026.
Scan AI models for serialization attacks before you load them.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Inspects model files for dangerous payloads.
Scan before deserialization, not after.
Trust-but-verify for downloaded weights.
Gate deployments on scan results.
Drops into ML pipelines easily.
From a dedicated AI-security company.
Download the source and move into the project folder.
git clone https://github.com/protectai/modelscan.git
cd modelscanIsolate dependencies, then install requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtLaunch using the entry point shown in the README.
python -m modelscan # check README for the exact commandIt is an open-source project at protectai/modelscan with 168 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — Apache 2.0 allows commercial use and modification. Keep the license and notice files, and note it includes a patent grant.
Model serialization attacks — malicious code hidden in model files that executes on load.
Point it at model files before loading them, ideally as a CI step.
Clone the repo and follow the README quickstart — the docs at http://modelscan.ai walk through setup.
Scan your LLM for vulnerabilities before attackers do.
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Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de modelscan — continuez à explorer de part et d'autre.
Open-source conversational voice AI agents.
SWE-Gym: the first training environment for real-world software engineering agents and verifiers (ICML 2025).
An MCP server that puts Hyperbrowser's browsers behind the protocol.
See what your AI agents do — at the system level.
SimWorld: an Unreal Engine 5 simulator for evaluating LLM/VLM agents in physical and social worlds.
A very large curated list of AI tools, updated for 2026.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.