by K-Dense-AI
An AI co-scientist powered by Scientific Agent Skills running on your desktop.
# Add to your Claude Code skills
git clone https://github.com/K-Dense-AI/k-dense-byokLast scanned: 5/10/2026
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}k-dense-byok is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by K-Dense-AI. An AI co-scientist powered by Scientific Agent Skills running on your desktop. It has 805 GitHub stars.
Yes. k-dense-byok passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/K-Dense-AI/k-dense-byok" and add it to your Claude Code skills directory (see the Installation section above).
k-dense-byok is primarily written in TypeScript. It is open-source under K-Dense-AI on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh k-dense-byok against similar tools.
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Your own AI research assistant, running on your computer, powered by your API keys.
K-Dense BYOK (Bring Your Own Keys) is a free, open-source app that gives you Kady — an AI research assistant for scientists in any field. Describe a task in plain language — analyze a dataset, review a manuscript, search the literature, build a figure — and Kady does the work: it reads and writes files, runs real code, searches the web, and hands you the results.
No coding experience is required. The app runs locally on your machine, your data stays with you, and you pay only for the AI model usage on your own account.
Beta: K-Dense BYOK is currently in beta. Many features and improvements are on the way. Star us on GitHub to stay in the loop, and follow K-Dense on X, LinkedIn, and YouTube for release notes and tutorials.
citation-checker, a statistical-reviewer, and a peer-reviewer — running one at a time, in parallel, or chained. Learn more.You need a computer running macOS or Linux (Windows works via WSL) and an OpenRouter API key (one account, all major AI models — or use free local models instead).
Open a terminal and run:
git clone https://github.com/K-Dense-AI/k-dense-byok.git
cd k-dense-byok
cp .env.example .env # then paste your OpenRouter key into .env
./start.sh
The first start installs everything automatically (it takes a few minutes); then your browser opens to http://localhost:3000. Press Ctrl+C in the terminal to stop.
That's it. Create a project, drop in your data, and ask Kady for what you want — for example: "Run a differential expression analysis on counts.csv comparing treated vs control, and plot a volcano plot."
➡️ Step-by-step details, optional API keys, and troubleshooting: Installation guide ➡️ Your first session and everyday features: Basic usage
All guides live in the docs/ folder:
| Guide | What it covers |
|---|---|
| Installation | Full setup walkthrough, optional API keys, updating, troubleshooting |
| Basic usage | First session, chat tabs, files, workflows, databases, costs, tips |
| Sub-agents | Kady's team of 21 scientific specialists and how to customize them |
| Connecting external tools (MCP) | Give Kady extra abilities like GitHub, reference managers, and databases |
| Local models with Ollama | Run everything on free local models, no API keys required |
| Model selection | How Kady builds the OpenRouter model list |
| Architecture | How the two local services fit together |
| Contributing workflows | Add new workflow templates to the library |
| Known limitations | Rough edges to be aware of in the current beta |
Literature search (Paperclip), document conversion, remote compute (Modal), browser automation, and the provenance/"Copy as Methods" export are being re-added in upcoming releases, along with MCP tools for sub-agents and a UI experience further tailored to scientific workflows. In the meantime, many of these are available today by connecting an MCP server.
K-Dense BYOK is great for getting started, but if you want end-to-end research workflows with managed infrastructure, team collaboration, and no setup required, check out K-Dense Web — our full platform built for professional and academic research teams.
If you run into a problem or have an idea for something new, please open a GitHub issue. We read every one.
K-Dense BYOK is open source because K-Dense believes in giving back to the community that makes this kind of work possible.