Directory › Research & monitoring › K-Dense BYOK (Kady)
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K-Dense BYOK (Kady)
by K-Dense AI
A free AI research assistant that runs on your computer: describe a scientific task, it writes and runs the code, and keeps a record of every step.
View on GitHub →What it does
- 177 scientific skills, 326 workflow templates and 23 specialists, from genomics to chemistry
- A lab notebook of its reasoning and a log of what actually ran, so you can check and reproduce
- Free and local with Ollama; with an online model, you pay for usage
! Free, open-source app (MIT), in beta. Your projects, chats and results stay in folders on your computer. Online models (OpenRouter, ChatGPT, Claude…) are pay-per-use or by subscription; local models through Ollama or a compatible server are billed $0. Kady runs code with your account's permissions: for untrusted data or code, use a separate account or a virtual machine. Result announced by the vendor: 2nd on the public CompBioBench leaderboard (Genentech) as of September 11, 2026, with a paid model (GPT-6 Astra, 98%); with DeepSeek V4 Pro: 81%. Information from the official repository.
Install it
Requirements: macOS, Linux or Windows 10/11; on Windows, Node.js 22+ and Git for Windows. And a model source: Ollama (free, local), an OpenRouter key or a compatible subscription.
git clone https://github.com/K-Dense-AI/k-dense-byok.git && cd k-dense-byok
./start.sh
http://localhost:3000
The prompt for your agent
Paste it into your coding agent: it checks the requirements and installs it for you.
Install K-Dense BYOK (Kady) (https://github.com/K-Dense-AI/k-dense-byok) on my machine.
1. Check the requirements: macOS, Linux or Windows 10/11; on Windows, Node.js 22+ and Git for Windows. And a model source: Ollama (free, local), an OpenRouter key or a compatible subscription. If anything is missing, tell me before installing anything.
2. Follow the official method:
- Download the project: git clone https://github.com/K-Dense-AI/k-dense-byok.git && cd k-dense-byok
- Start the app (on Windows: .\start.cmd): ./start.sh
- see http://localhost:3000
3. Check that it works, then explain how to launch it and where to start.
Always review what your agent is about to run, especially install commands.