Agents IA
Anthropic-Cybersecurity-Skills
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fr…
★ 33,8 k étoilesApache-2.0
Voir le guide →deepteam est un projet de agents IA open source, créé par confident-ai (confident-ai/deepteam sur GitHub). Il compte 2 982 étoiles sur GitHub et 488 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 1er octobre 2026.
Open-source red-teaming framework that stress-tests LLMs and AI agents.
Point the framework at the LLM or agent you want to test.
Select jailbreaks, prompt injection, and other vulnerability categories.
Automated attacks fire at the model and every response is recorded.
Review severity-scored results and patch the weaknesses it surfaced.
Ready-made jailbreaks, injections, and edge-case attacks.
Tests multi-step agents, not just single chat replies.
Every run produces severity-ranked findings to triage.
Drops into existing test suites and CI pipelines.
Maps findings to known LLM risk categories.
Write custom attack modules for your own threat model.
Download the source and move into the project folder.
git clone https://github.com/confident-ai/deepteam.git
cd deepteamEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at confident-ai/deepteam with 488 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes. It is Apache-2.0 licensed, so commercial use is allowed with attribution.
No. It automates repetitive attacks; skilled testers still handle novel exploits.
Any LLM or agent you can send prompts to, self-hosted or API-based.
A Python install plus a config pointing at your target; the README walks through a first attack.
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fr…
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat…
Open-source, vision-first browser agent
Test prompts, agents and RAGs — LLM evals, red teaming and model comparisons from the CLI
Microsoft's open framework for red-teaming generative AI systems.
High-performance serving for the LLMs that power your agents.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.