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What is Hermae?

Hermae is an AI assistant designed for enterprise design systems, built by Mike Carbone. It aimed to solve the problem of providing LLMs with the context of a design system to help teams ship products faster. The core capability was converting Storybook documentation to Markdown and creating vector embeddings for RAG, enabling AI to generate production frontend code. However, Hermae has been shut down as an experiment. The tool was intended for design and development teams working with design systems. It fit workflows where teams needed to bridge design and code generation. Despite its shutdown, the insights from Hermae have influenced current best practices, such as using local context in IDEs, public examples, and design tool MCPs. Users looking for similar functionality today are directed to tools like Vercel v0, shadcn/ui, Cursor, and Figma MCP.

AI Tool Review Summary

Performance Score

3.5/5

Content/Output Quality

Experimental, not production-ready

Interface

Not specified

AI Technology
LLMRAG
Purpose of Tool

To generate production frontend code by providing LLMs with design system context.

Compatibility

Integrated with Storybook and Markdown workflows.

Pricing

Discontinued

Features

Features with the highest value for users are highlighted here.

Storybook to Markdown conversion

Vector embeddings for RAG

Design system context for LLMs

Code generation from design tokens

Integration with enterprise design systems

How It Works

1

Convert Storybook docs

Hermae converts Storybook documentation to Markdown format.

2

Create vector embeddings

The Markdown is used to create vector embeddings for RAG.

3

Provide context to LLM

The embeddings give the LLM context about the design system.

4

Generate frontend code

The LLM generates production-ready frontend code based on the design system.

Who Is It For?

Design system engineers

Frontend developers

Product teams

Enterprise organizations

Startups

UI/UX designers

Technical writers

Open source contributors

Agency teams

Freelance developers

Pricing

Free

$0/free
  • No longer available

Pro

N/A/monthly
  • Discontinued

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Pros & Cons

Pros

  • Validated the concept of AI-assisted design system code generation.
  • Provided a novel approach to context injection for LLMs.

Cons

  • Product has been shut down, no longer available.
  • Approach was less effective than integrated IDE or public context solutions.

FAQs

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Rating

5.0

Pros

Cons

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Release History

0 releases published

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