Hermes for design.
Hermes is Nous Research’s open-source, autonomous terminal agent. It plans, executes, and delegates work on its own machine — and it is provider-agnostic, so you bring your own xAI, OpenAI, or Anthropic key. That autonomy makes it a real design tool once you give it references, conventions, and a verification loop. Open Design wires it into an open-source design workflow: your key, your files, local-first.
Open Design turns Hermes into a local-first, open-source design agent — your own xAI, OpenAI, or Anthropic key, your files, a curated skill and design-system library around it.
Hermes is Nous Research’s open-source autonomous AI agent. Two things make it interesting for design specifically: it is genuinely agentic, so it plans a task, executes it, and delegates parts to isolated subagents rather than just completing lines; and it is provider-agnostic, so you point it at whichever model you trust — xAI Grok by default, or OpenAI and Anthropic via bring-your-own-key. Paired with the right references, conventions, and a verification loop, it builds real, responsive UI on your own machine. This is a practical, end-to-end guide to using Hermes for UI, frontend, and design-system work, and to wiring it into a structured design workflow with Open Design.
It covers what Hermes actually is, why an autonomous, multi-provider agent fits design, how to set it up from zero, the screenshot-to-UI loop, how skills and subagents extend it, how it compares to Codex, Claude Code, Cursor, and Gemini CLI, the pitfalls that make AI output look generic, and how Open Design closes the gap as an open, local-first design layer — a natural pairing, since both are open-source and run on your own machine.
What Hermes actually is
Hermes is an open-source (MIT) autonomous AI agent from Nous Research. It runs persistently on your own machine or server, reads your repository, edits files, runs shell commands, searches the web, and — crucially — plans and executes multi-step work on its own, delegating parts to isolated subagents. It is an autonomous agent, not a copilot tethered to an IDE.
For design work, two properties stand out. It is genuinely agentic, so you can hand it a goal and it plans, builds, and verifies rather than waiting for line-by-line direction. And it is provider-agnostic: you bring your own key, defaulting to xAI Grok but free to point it at OpenAI, Anthropic, or any other supported endpoint — so you control which model reasons over your design.
- Skills: Hermes builds and reuses skills — procedural memory it creates from experience — the natural place to capture your design conventions, tokens, and review checklists so they persist across runs.
- Subagents + tools: It spawns isolated subagents for parallel workstreams and ships file, shell, web, and browser tooling, so it can gather references and run a build-and-verify loop without leaving the terminal.
- Bring your own key: Hermes defaults to xAI Grok and supports OpenAI, Anthropic, OpenRouter, and many other providers via BYOK — set a key or run an OAuth flow and pick your model.
- Vendor: Nous Research
- Credential: provider key via BYOK — xAI (Grok, default), OpenAI, or Anthropic — added with hermes auth add
- License: MIT, open source
Why an autonomous, multi-provider agent fits design
Hermes’s design edge comes from two properties — but, as with every agent, taste still has to be supplied.
- Autonomous plan-and-execute: Because Hermes plans, executes, and delegates on its own, it can take a design goal — match this reference, make it responsive — and iterate toward it instead of needing every step spelled out.
- Bring the model you trust: Provider-agnostic BYOK means you pick the reasoning model for the job: xAI Grok by default, or OpenAI and Anthropic models when you want their strengths — no lock-in to one vendor’s aesthetics.
- Conventions in skills: Skills (plus an MCP server like Figma) point the agent at your tokens, components, and real specs, so it works against a brand instead of a default look.
The lesson is the same one every agent teaches: Hermes does not have taste by default. It produces good design when you give it constraints — a design system, an aesthetic skill, and concrete references. Open Design packages exactly those inputs, which is why the two fit together (more below).
Set up Hermes for design work, from zero
Here is the full path from a clean machine to a Hermes that can build and verify UI.
# 1. Install Hermes (one-line installer from Nous Research)
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
# 2. Run the setup wizard
hermes setup
# 3. Add a provider and authenticate (BYOK)
# default is xAI Grok; OpenAI / Anthropic also supported
hermes auth add # add a provider key or run its OAuth flow
hermes model # pick the provider and model (grok-4.3 by default)
# 4. Wire a Figma MCP server (optional, for design handoff)
# configure it among Hermes' MCP / tool settings
- Encode your design rules: Capture your tokens, primitives, and conventions in a Hermes skill and point the agent at them, so output matches a brand instead of defaulting to a generic look.
- Add browser verification: Wire a Playwright or browser MCP so Hermes renders in a real browser and checks its output across breakpoints instead of only confirming the build passes.
The screenshot-to-UI workflow
The highest-leverage design loop with Hermes is turning a reference image into working, responsive UI and iterating until it matches — letting the autonomous agent plan the build and compare its output back to the reference.
- Start from the clearest visual references you have — and include multiple states (desktop and mobile, hover, empty, loading), not just one hero shot.
- Be specific in the prompt; vague prompts produce generic UI even with a strong model.
- Keep your design system and conventions in a skill, and tell Hermes where the tokens and canonical primitives live.
- Run a dev server and have Hermes render in a real browser, resizing to breakpoints to check the result.
- Iterate by having Hermes compare its implementation back to the screenshots — not merely confirm it builds.
Point Hermes at your references and give concrete constraints:
hermes
# in the prompt:
> Use reference-desktop.png and reference-mobile.png in this folder.
Implement this design in React + Vite + Tailwind + TypeScript.
Reuse my existing design-system components and tokens from my skill.
Match spacing, layout, and hierarchy; make it responsive.
Render it in the browser and iterate until it matches the references
across breakpoints.Keep prompts small and focused, commit good iterations and revert bad ones (telling Hermes when you revert), so each pass builds on a clean base.
Skills, subagents, and providers
Three extension points make Hermes practical for sustained design work, and all three map cleanly onto an open design workflow.
- Skills: Hermes builds and reuses skills — procedural memory created from experience. They are the durable home for your design conventions, applied on later runs instead of re-explained each time.
- Subagents and MCP: It delegates work to isolated subagents and supports MCP servers — the portable way to bring in design context and external tools, most relevantly a Figma MCP server, that work across agents, not just Hermes.
- Provider choice: Because Hermes is provider-agnostic (xAI Grok by default, OpenAI and Anthropic via BYOK), you can match the model to the task without rebuilding your workflow.
These are portable, multi-agent capabilities — exactly the kind of thing Open Design is built to orchestrate, rather than re-create per project.
Hermes vs Codex vs Claude Code vs Cursor vs Gemini CLI for design
There is no single winner for design work — each agent has a different strength, and experienced teams stack them. A fair summary:
| Agent | Design strength | Best for |
|---|---|---|
| Hermes | Autonomous plan-execute-delegate agent; provider-agnostic BYOK (xAI Grok default, OpenAI/Anthropic too); open-source and self-hosted | Hands-off autonomous builds on whichever model you trust, kept local |
| Codex | Strong visual polish with a frontend skill; sandboxed async builds | Delegated async builds and portable AGENTS.md rules |
| Claude Code | Specific design decisions (hex, spacing, type) and codebase-aware UX | Frontend reasoning and large-context refactors |
| Cursor | Visual build-and-see loop with live preview and inline edits | Tight iterate-and-watch UI work inside an IDE |
| Gemini CLI | Strong multimodal image understanding and a 1M-token context; free tier | Screenshot-heavy work and holding a whole design system in context |
The recurring community verdict is that taste comes from humans: all of them default to a generic aesthetic without skills, references, and constraints. That is the real problem to solve — and it is design-tool-shaped, not model-shaped.
Pitfalls, and how to avoid the “AI slop” look
The most common complaint about AI-generated design is that it looks generic — soft gradients, floating panels, oversized rounded corners, dramatic shadows, an Inter-and-purple vibe that “screams an AI made this.” Other reported issues include broken mobile layouts and instructions leaking into UI copy. None of these are unique to Hermes; they are what happens when any agent runs without a curated design context.
- Add an aesthetic skill: A curated design skill forces the agent to commit to a real direction instead of the default look.
- Verify in a real browser: Have Hermes render and self-check across breakpoints so layouts do not silently break on mobile.
- Supply tokens and references: Real design tokens and reference screenshots are the single biggest lever on output quality.
- Encode rules in a skill: Put “no hero cards, max two typefaces, brand-first hierarchy” style rules into a skill the agent applies every run.
Notice that every mitigation is about giving the agent a curated design context. Maintaining that context by hand, per project, is the toil Open Design removes.
Designing with Hermes inside Open Design
Open Design is the open-source design layer the workflow above keeps asking for. It treats Hermes as a first-party adapter and wraps it in a curated skill and design-system library, a structured render pipeline, and a local desktop UI — so the design context that makes Hermes good is there from the first run, not assembled by hand each time. Both are open-source and local-first, which makes the pairing a natural fit.
- Install Open Design and select Hermes as your agent.
- Authenticate with your own provider key (BYOK) — xAI Grok by default, or OpenAI or Anthropic — credentials stay on your machine and are never proxied through us.
- Pick a design system and a skill, then generate decks, prototypes, and landing pages with consistent taste.
- Every artifact and DESIGN.md file lives in your own repo, not a hosted cloud.
Same Hermes agent, same key — plus a real, portable, open-source design workflow around it. It is local-first and Apache-2.0, so nothing about your work or your credentials leaves your machine.
Frequently asked questions
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01 Can Hermes really do design work?
Yes — with an aesthetic skill, a design system, and real reference images in context, Hermes produces production-quality, responsive UI, and as an autonomous agent it can render and verify output against references on its own. Without that context it tends to default to a generic look, which is the gap Open Design fills.
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02 Which models and keys does Hermes use?
Hermes is provider-agnostic and bring-your-own-key. It defaults to xAI Grok (for example grok-4.3) and also supports OpenAI, Anthropic, OpenRouter, and many other providers — you add a provider key (or run its OAuth flow) with hermes auth add and pick a model with hermes model. Open Design never proxies your credentials.
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03 What makes Hermes good for design specifically?
Two things: it is genuinely autonomous, so it plans, builds, and verifies UI rather than waiting for line-by-line direction; and it is provider-agnostic, so you can run the reasoning model you trust. Both help — but taste still comes from the design system, skill, and references you supply.
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04 Hermes or Claude Code for frontend design?
Both are strong. Claude Code is known for specific, codebase-aware design decisions; Hermes’s edge is autonomous plan-and-execute plus provider choice — and you can even point Hermes at an Anthropic key. Many teams use both — Open Design lets you switch agents without changing your design workflow.
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05 How do I connect Hermes to Figma?
Add a Figma MCP server in Hermes’s tool configuration. Hermes can then pull real design context — components, variables, layout data — so the generated code matches the source instead of approximating it.
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06 Is Open Design affiliated with Nous Research?
No. Hermes is a product of Nous Research; Open Design is an independent open-source project that supports it as a first-party adapter. Hermes and Nous Research are trademarks of their respective owner.
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07 Are my files and credentials safe?
Yes — Open Design is local-first and Apache-2.0. Your files, artifacts, and DESIGN.md stay in your own repo, and your provider credentials are used directly by your agent, never routed through Open Design servers.
Design with Hermes, the open way.
Bring your own xAI, OpenAI, or Anthropic key, keep every file local, and get a curated design library around the agent you already use.