kunagent/kun — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2026-07-03
Draft a feature requirement, generate a visual prototype, and hand off an implementation plan to a developer.
Use Code mode to read files, run commands, and edit code in a local project with a review panel before committing.
Use Design mode to generate UI mockups and interactive prototypes from text descriptions.
Write and export long-form product documents to HTML, PDF, or Word using Write mode.
| kunagent/kun | facebook/astryx | lmstudio-ai/lms | |
|---|---|---|---|
| Stars | 5,032 | 5,000 | 4,799 |
| Language | TypeScript | TypeScript | TypeScript |
| Last pushed | 2026-07-03 | — | — |
| Maintenance | Active | — | — |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 3/5 | 2/5 | 2/5 |
| Audience | pm founder | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Licensed for non-commercial use only, commercial use requires separate written permission.
Kun is a desktop application that brings AI agents into your daily work through a structured workflow. Instead of starting with a quick chat prompt and hoping for the best, it walks you through a full process: clarify what you need, create design mockups, plan the work, write the code, and then verify the results against the original requirements. It runs on macOS, Windows, and Linux. The app has three main modes. Code mode connects to your local project folders and can read files, run commands, and edit code while showing you a review panel before any changes are committed. Design mode generates UI mockups, interactive prototypes, and shared design systems from your requirements or text descriptions. Write mode is a standalone workspace for long-form documents with export options to HTML, PDF, and Word formats. All three modes share the same session history, approval settings, and model configuration. A product manager could use it to draft a feature requirement, generate a visual prototype, turn that into an implementation plan, and hand off to a developer who reviews and executes the plan in Code mode. A solo founder could write product docs, design interfaces, and manage code changes in one place. It also supports connecting to messaging apps like Feishu or WeChat to trigger tasks remotely, and includes a visual workflow builder for automating multi-step agent processes. What makes this project notable is its choice of AI models. Rather than defaulting to expensive providers, it centers on three Chinese model services, DeepSeek, Xiaomi MiMo, and MiniMax, chosen for their low cost across text, reasoning, vision, voice, image, music, and video generation. The idea is that a longer, multi-step workflow only works if you can afford to run it repeatedly. You can add other providers, but the default setup is designed around keeping the full pipeline cheap enough for everyday use. The project is licensed for non-commercial use only, meaning it is available for learning and reference but requires separate written permission for any commercial application.
A cross-platform desktop app that runs AI agents through a structured clarify-design-plan-code-verify workflow, covering coding, UI design, and long-form writing in one place.
Mainly TypeScript. The stack also includes TypeScript, DeepSeek, Xiaomi MiMo.
Active — commit in last 30 days (last push 2026-07-03).
Free for learning and non-commercial use, any commercial use requires separate written permission.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly pm founder.
This repo across BitVibe Labs
double-check against the repo, no cap.