agentic_security vs promptfoo

LLM security testing and evaluation tools compared

agentic_security and promptfoo both help teams test LLM applications and identify potential security issues. agentic_security focuses on configurable vulnerability scans using adversarial prompts, while promptfoo combines red teaming with broader prompt and model evaluation.

agentic_securitypromptfoo
LanguagePythonTypeScript
LicenseApache-2.0MIT
Stars2k26.4k
Forks3052.6k
Last analyzedNov 11, 2026Oct 24, 2026

Key differences

  • agentic_security is a Python toolkit that sends configured prompt probes to an HTTP endpoint; promptfoo is a TypeScript CLI and library for evaluating prompts, models, and applications.
  • agentic_security supports prompt mutations, multi-step attack simulations, and documented text, image, and audio request formats; promptfoo emphasizes evaluation cases, side-by-side model comparisons, and a web viewer for results.
  • agentic_security documents built-in or local prompt datasets and a CI-oriented scan command; promptfoo supports local evaluations and CI/CD checks, plus pull request code scanning for LLM-related security and compliance issues.
  • agentic_security is licensed under Apache-2.0; promptfoo is licensed under MIT.
  • The supplied project facts list agentic_security at 2k stars and 292 forks, and promptfoo at 25.7k stars and 2.4k forks.
  • Both projects are not archived; promptfoo's README states that it is now part of OpenAI while remaining open source.

Choose agentic_security if you…

  • need configurable adversarial scans against an API endpoint.
  • want to use prompt mutations or simulate multi-step attacks.
  • need to probe text, image, or audio interfaces using documented request formats.
Read the agentic_security analysis →

Choose promptfoo if you…

  • want to evaluate prompts and compare model outputs across supported providers.
  • need a CLI and library for repeatable evaluations as well as red-team checks.
  • want to inspect evaluation results in a web viewer or add LLM-related pull request checks.
Read the promptfoo analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.