head to head · open source

shannon vs open-kritt

shannon has 50,964 GitHub stars, 5,926 forks, 18 open issues and last shipped 7 days ago. open-kritt has 2,406 stars, 407 forks, 7 open issues and last shipped yesterday. shannon leads on adoption by 2,018% (50,964 vs 2,406 stars). shannon is written in TypeScript under AGPL-3.0; open-kritt is written in JavaScript under AGPL-3.0. shannon has attracted 12% 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 1 topic tag (ai-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.

shannon ★ 51K open-kritt ★ 2.4K category AI & Machine Learning

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Side by side

shannon open-kritt
GitHub stars ★ 51K ★ 2.4K
License AGPL-3.0 AGPL-3.0
Written in TypeScript JavaScript
Last push 2026-10-27 2026-11-02
Forks ⑂ 5.9K ⑂ 407
Self-hosting Yes Yes
Data ownership Your server Your server

pick shannon if

  • You weight community size — 51K stars and counting
  • You want the AGPL-3.0 license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full shannon 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 shannon

[!NOTE] Shannon 3.0 is live: deeper security code analysis, more thoroughly vetted findings, a rebuilt CLI, native CI/CD, professional PDF reports, and SARIF. Shannon is an autonomous, AI pentester for web applications and APIs. It analyzes your source code, identifies attack paths, and executes real exploits to prove vulnerabilities before they reach production. No exploit, no report. This repository is Shannon Open Source: the full agent, run locally from your command line. Launch Shannon The interactive launcher will guide you through setup and your first pentest. [!TIP] AI agents and LLMs: start with…

read the full shannon 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 shannon or open-kritt more popular?

shannon has 50,964 GitHub stars and open-kritt has 2,406. shannon has the larger community by that measure.

Are shannon and open-kritt free?

Both are open source. shannon is licensed under AGPL-3.0 and open-kritt under AGPL-3.0. Neither carries a licence fee.

What is the difference between shannon and open-kritt?

shannon is written in TypeScript 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, shannon or open-kritt?

Choose shannon if you want the larger community (50,964 stars) or its AGPL-3.0 licence terms. Choose open-kritt if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.