head to head · open source

garak vs agentic_security

garak has 9,850 GitHub stars, 1,439 forks, 429 open issues and last shipped 3 days ago. agentic_security has 2,040 stars, 301 forks, 72 open issues and last shipped 4 days ago. garak leads on adoption by 383% (9,850 vs 2,040 stars). garak is written in Python under Apache-2.0; agentic_security is written in Python under Apache-2.0. garak has attracted 15% as many forks as stars, agentic_security 15%. garak was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (llm-evaluation, llm-security), 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.

garak ★ 9.8K agentic_security ★ 2.0K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

garak agentic_security
GitHub stars ★ 9.8K ★ 2.0K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-11-02 2026-11-01
Forks ⑂ 1.4K ⑂ 301
Self-hosting Yes Yes
Data ownership Your server Your server

pick garak if

  • You weight community size — 9.8K 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

full garak profile →

pick agentic_security if

  • You want the agentic_security feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and agentic_security fits your workflow better

full agentic_security profile →

About garak

garak, LLM vulnerability scanner Generative AI Red teaming & Assessment Kit garak checks if an LLM can be made to fail in a way we don't want. garak probes for hallucination, data leakage, prompt injection, misinformation, toxicity generation, jailbreaks, and many other weaknesses. If you know nmap or msf / Metasploit Framework, garak does somewhat similar things to them, but for LLMs. garak focuses on ways of making an LLM or dialog system fail. It combines static, dynamic, and adaptive probes to explore this. garak 's a free tool. We love developing it and are always interested in adding functionality to…

read the full garak overview →

About agentic_security

Agentic Security An open source vulnerability scanner for Agent Workflows and Large Language Models (LLMs) Protecting AI systems from jailbreaks, fuzzing, and multimodal attacks. Explore the docs » · Report a Bug » Features Agentic Security equips you with powerful tools to safeguard LLMs against emerging threats. Here's what you can do: Multimodal Attacks 🖼️🎙️ Probe vulnerabilities across text, images, and audio inputs to ensure your LLM is robust against diverse threats. Multi Step Jailbreaks 🌀 Simulate sophisticated, iterative attack sequences to uncover weaknesses in LLM safety mechanisms. Comprehensive…

read the full agentic_security overview →

More in AI & Machine Learning

Related comparisons

More AI Security & Privacy projects

Compare either of these against the rest of the AI Security & Privacy field.

Frequently asked questions

Is garak or agentic_security more popular?

garak has 9,850 GitHub stars and agentic_security has 2,040. garak has the larger community by that measure.

Are garak and agentic_security free?

Both are open source. garak is licensed under Apache-2.0 and agentic_security under Apache-2.0. Neither carries a licence fee.

What is the difference between garak and agentic_security?

garak is written in Python and agentic_security 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, garak or agentic_security?

Choose garak if you want the larger community (9,850 stars) or its Apache-2.0 licence terms. Choose agentic_security if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.