voltagent/awesome-design-md

A collection of DESIGN.md files analysis by popular brand design systems. Drop one into your project and let coding agents generate a matching UI.

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Summary Information

Updated 58 minutes ago
Added to GitGenius on August 28th, 2026
Created on March 31st, 2026
Open Issues & Pull Requests: 320 (+0)
GitHub issues: Enabled
Number of forks: 12,689
Total Stargazers: 111,589 (+8)
Total Subscribers: 432 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 39.8 hours
Mean response time: 2.6 days
90th percentile: 4.1 days
Tracked items: 335

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 89% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 9% of issues opened in the past year have been closed. Three people close 59% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 307
New in 7 days: 2
Closed in 7 days: 0
Avg open age: 133 days
Stale 30+ days: 298
Stale 90+ days: 273

Recent activity

Opened in 7 days: 2
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • in-review-queue (7)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Awesome Design MD is a curated collection of DESIGN.md files extracted from popular brand design systems that developers can use with AI coding agents.

The project addresses the challenge of maintaining visual consistency when using AI agents to generate UI code. DESIGN.md is a plain-text markdown format introduced by Google Stitch that allows AI agents to read and understand a project's design language, patterns, tokens, and visual rules. Rather than relying on Figma exports, JSON schemas, or special tooling, developers drop a DESIGN.md file into their project root and any AI coding agent can instantly understand how the UI should look and feel. The approach works because markdown is the format large language models read most effectively, requiring no parsing or configuration.

This collection is most useful for teams building with AI coding agents who want to ensure generated UI stays visually consistent with their design language. It suits projects where developers are using AI assistants to generate code and need a way to communicate design intent in a format those agents understand natively. The repository provides ready-to-use DESIGN.md files extracted from real websites, eliminating the need to create these documents from scratch. The project also offers a request service for DESIGN.md files from specific websites.

The project maintains an active collection of design system examples and accepts community contributions. Development activity shows ongoing curation of new DESIGN.md files and examples. The maintainers actively promote the ecosystem around AI-driven design and development, featuring complementary tools and sponsorship opportunities within the repository.