head to head · open source

pentest-ai-agents vs open-kritt

pentest-ai-agents has 2,416 GitHub stars, 457 forks, 1 open issues and last shipped 1 months ago. open-kritt has 2,415 stars, 408 forks, 7 open issues and last shipped 4 days ago. pentest-ai-agents leads on adoption by 0% (2,416 vs 2,415 stars). pentest-ai-agents is written in Shell under MIT; open-kritt is written in JavaScript under AGPL-3.0. pentest-ai-agents has attracted 19% as many forks as stars, open-kritt 17%. open-kritt was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai-agents, ai-security, bug-bounty), 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.

pentest-ai-agents ★ 2.4K open-kritt ★ 2.4K category AI & Machine Learning

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Side by side

pentest-ai-agents open-kritt
GitHub stars ★ 2.4K ★ 2.4K
License MIT AGPL-3.0
Written in Shell JavaScript
Last push 2026-10-06 2026-11-02
Forks ⑂ 457 ⑂ 408
Self-hosting Yes Yes
Data ownership Your server Your server

pick pentest-ai-agents if

  • You weight community size — 2.4K stars and counting
  • You want the MIT license terms
  • Your stack matches Shell
  • You value the larger contributor base for long-term maintenance

full pentest-ai-agents profile →

pick open-kritt if

  • You want the open-kritt feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches JavaScript
  • You evaluated both and open-kritt fits your workflow better

full open-kritt profile →

About pentest-ai-agents

pentest ai agents 50 Claude Code subagents for penetration testing. Quick Start Cheatsheet Coverage Agents Examples Table of Contents What's New in v3.3 What's New in v3.2 Agent Map What's New in v3.1 Quick Start Cheatsheet Coverage Agents Tier 1 vs Tier 2 Examples Running Tools in a Container Findings Database Token Optimization Local Models Documentation MCP Server Prerequisites Legal License pentest ai agents is a collection of 50 Claude Code subagents that turn Claude into an offensive security research assistant. Each agent carries deep domain knowledge in a specific area: recon, web, Active Directory…

read the full pentest-ai-agents overview →

About open-kritt

open·kritt Orchestrate AI agents to find real vulnerabilities in code. An open source, self hosted security and vulnerability research platform that turns focused AI analysis into de duplicated, ranked findings with configurable validation and enrichment. Website · Documentation · Getting started · Contributing · Owners · Research paper What is open·kritt? Pointing a model at an entire repository and asking it to find vulnerabilities rarely works well. open·kritt takes a focused approach: break the research into small, well defined tasks, run them across AI agents in parallel, and combine their output into…

read the full open-kritt overview →

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Frequently asked questions

Is pentest-ai-agents or open-kritt more popular?

pentest-ai-agents has 2,416 GitHub stars and open-kritt has 2,415. pentest-ai-agents has the larger community by that measure.

Are pentest-ai-agents and open-kritt free?

Both are open source. pentest-ai-agents is licensed under MIT and open-kritt under AGPL-3.0. Neither carries a licence fee.

What is the difference between pentest-ai-agents and open-kritt?

pentest-ai-agents is written in Shell and open-kritt in JavaScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, pentest-ai-agents or open-kritt?

Choose pentest-ai-agents if you want the larger community (2,416 stars) or its MIT licence terms. Choose open-kritt if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.