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ConfigsJul 7, 2026·3 min de lecture

Kun — AI Agent Workspace with Code and Design Modes

An open-source AI agent workspace that embeds code-writing and visual design modes directly into your application, supporting multi-agent orchestration.

Prêt pour agents

Installation avec revue préalable

Cet actif nécessite une revue. Le prompt copié demande un dry-run, affiche les écritures, puis continue seulement après confirmation.

Needs Confirmation · 66/100Policy : confirmer
Surface agent
Tout agent MCP/CLI
Type
Skill
Installation
Single
Confiance
Confiance : Established
Point d'entrée
Kun Overview
Commande avec revue préalable
npx -y tokrepo@latest install cc148b48-79bd-11f1-9bc6-00163e2b0d79 --target codex

Dry-run d'abord, confirmez les écritures, puis lancez cette commande.

Introduction

Kun is an open-source AI agent workspace that combines code-writing and visual design capabilities into a single interface. Built with TypeScript, it provides a web-based environment where AI agents can write code, generate designs, and iterate on both simultaneously — bridging the gap between coding agents and design tools in a unified workspace.

What Kun Does

  • Provides a web-based workspace with switchable Code and Design modes
  • Integrates AI coding agents for writing, editing, and refactoring code
  • Offers a visual design mode for generating and iterating on UI layouts
  • Supports multi-agent orchestration for complex tasks spanning code and design
  • Renders live previews of generated code and design output

Architecture Overview

Kun is a TypeScript web application with a modular agent integration layer. The Code mode connects to coding agent backends (Claude, OpenAI, or local models) through a unified API adapter. The Design mode uses a canvas-based renderer that translates agent-generated layout descriptions into visual previews. Both modes share a project state model, so code changes reflect in design previews and vice versa. Agent orchestration is handled by a task router that dispatches work to specialized agent instances.

Self-Hosting & Configuration

  • Clone the repository and install dependencies with npm
  • Configure your LLM provider API keys in the environment file
  • Run the development server locally or build for production deployment
  • Customize agent configurations and available tools through the settings panel
  • Deploy to any Node.js hosting platform or run behind a reverse proxy

Key Features

  • Dual-mode workspace combining code and design in one interface
  • Live preview rendering for immediate visual feedback on code changes
  • Multi-agent task routing for parallel code and design workflows
  • Provider-agnostic LLM integration supporting multiple backends
  • Web-based interface accessible from any browser without local installation

Comparison with Similar Tools

  • Cursor — a full IDE with AI features; Kun is a workspace focused on the code-plus-design workflow
  • v0 / Lovable — AI app builders; Kun provides a more developer-oriented workspace with agent orchestration
  • Bolt.new — AI-driven app generation; Kun emphasizes dual-mode editing over one-shot generation
  • Open Design — AI design alternative; Kun integrates coding and design in a single workspace

FAQ

Q: Does Kun replace my code editor? A: Not necessarily. It is designed as a workspace for AI-assisted development tasks. You can use it alongside your primary editor for agent-driven code and design work.

Q: Which LLM providers are supported? A: Kun supports OpenAI, Anthropic, and local models through its provider adapter layer. Add new providers by implementing the adapter interface.

Q: Can I deploy Kun for a team? A: Yes. The web-based architecture supports deployment on shared infrastructure with multiple concurrent users.

Q: Is there a desktop application? A: Currently Kun is web-only. A desktop version may be developed in the future by the community.

Sources

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