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kritt.ai

Open-source infrastructure for AI-based security research

Open Source
Developer Tools
GitHub
Security
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Hunted byGabrielGabriel

Open Kritt is an open-source platform for building AI-powered security research workflows. Orchestrate LLMs, tools, and custom agents into reusable pipelines for vulnerability research, code analysis, and automation. Used internally to discover more than 60 High & Critical security vulnerabilities, Open Kritt is now available for the community to build, extend, and share workflows.

Top comment

Hi Product Hunt! 👋 We're excited to finally share **Open-Kritt** with the community. Over the past nine months, we've been building an internal platform to orchestrate AI workflows for security research. During that time, it helped us discover more than 60 High & Critical vulnerabilities across bug bounty programs and audit competitions. As the platform matured, we realized the infrastructure itself could be valuable to other researchers. Instead of keeping it internal, we decided to open source it. Open-Kritt is designed to help you build AI-powered workflows by combining LLMs, tools, custom code, branching logic, and reusable components into flexible pipelines. This launch is just the beginning. We've open-sourced the platform and are releasing example workflows today, with many more workflows and improvements planned over time. We'd love to hear what you think! Whether it's feedback, feature requests, ideas for workflows, or contributions - we're excited to build Open-Kritt together with the community. Thanks for checking it out!

Comment highlights

kritt.ai

Really like the open-source direction here. Curious—what kind of security research workflow made you realize existing AI tooling wasn't enough?

Plugged in my own LLM config and a static analysis tool, kicked off a vulnerability research pipeline, and it actually surfaced a legit issue I had missed. The reusable workflow setup feels really practical.

One thing that would make this way more useful for me is a built-in workflow debugger that shows step-by-step which tool call or agent decision actually led to a finding. When a pipeline surfaces a vulnerability, I want to trace the reasoning chain, replay individual nodes, and see token usage per step. Right now I have to reconstruct that manually from logs, which gets painful on multi-stage research flows. A visual trace view would turn this from a black box into something I can actually trust and iterate on.

About kritt.ai on Product Hunt

Open-source infrastructure for AI-based security research

kritt.ai was submitted on Product Hunt and earned 9 upvotes and 8 comments, placing #135 on the daily leaderboard. Open Kritt is an open-source platform for building AI-powered security research workflows. Orchestrate LLMs, tools, and custom agents into reusable pipelines for vulnerability research, code analysis, and automation. Used internally to discover more than 60 High & Critical security vulnerabilities, Open Kritt is now available for the community to build, extend, and share workflows.

kritt.ai was featured in Open Source (68.6k followers), Developer Tools (516.2k followers), GitHub (41.3k followers) and Security (2.8k followers) on Product Hunt. Together, these topics include over 121.4k products, making this a competitive space to launch in.

Who hunted kritt.ai?

kritt.ai was hunted by Gabriel. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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