Shadcn-native Design CI for Tailwind apps with registry export and MCP UI tools.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
The design layer for agentic AI.
Give your coding agent an interface brief before it edits. Memi maps the UI already in your repository, surfaces file-anchored accessibility and design-system risks, and gives you a deterministic check to rerun before merge. Start with the CLI, then add the same gate to every pull request.
Memi Studio is available today; Memi Canvas is currently in development. No account, API key, Figma file, global install, or daemon is required for the first audit.
Start with your next interface Β· Get Memi Studio Β· Read the research
Run one non-destructive audit in any frontend repository. It needs no account, API key, Figma file, global install, or daemon.
The result carries normalized finding IDs, confidence, provenance, and file:line evidence so an agent can act on a specific finding instead of guessing.
Give the same context to your coding agent:
Then ask:
Audit this frontend before editing it. Prioritize the five changes that will matter most to users, reuse the existing system, and verify the result after the patch.
If Memi catches a real interface issue in your project, share the finding. Real reports are the most useful signal for what to improve next.
Copy examples/github-actions/memi-design.yml into your repository as .github/workflows/memi-design.yml. The starter is pinned to the reviewed public Action commit and gives reviewers:
memi-design-health artifact with the human-readable report; andsecurity-events: write.The workflow does not need an API key or a Memi secret. Fork pull requests still receive the check and report; SARIF upload is skipped automatically when GitHub does not grant that permission.
If you prefer to configure it by hand, the complete GitHub Action guide documents every input, output, permission, and evidence file.
| Surface | What it is | Status |
|---|---|---|
| Memi CLI | Interface intelligence and deterministic checks for local repositories, agents, and CI. | Available today |
| Memi Studio | A macOS workbench for bringing project context, agent workflows, and verification together. | Available today |
| Memi Canvas | A visual workspace for design-system context and controlled agent proposals. | currently in development |
| Memi Studio | Memi Canvas β in development |
|---|---|
![]() | ![]() |
| Bring an agent prompt, project memory, and a verification surface into one workbench. | Preview design-system context, inspect a proposal, and keep a human in the loop. This preview shows an active development build, not a released product guarantee. |
| Before the edit | During the edit | Before merge |
|---|---|---|
| Discover components, tokens, routes, states, and accessibility gaps. | Give the agent a scoped brief that names the system it must preserve. | Rerun deterministic checks and surface new interface debt in CI. |
| Need | Start with |
|---|---|
| Find UI risks and product-system context | audit-frontend-design |
| Plan a change around existing components and tokens | remember-design-system |
| Keep new interface debt out of pull requests | enforce-design-ci |
| Build and verify native Apple interfaces | build-swiftui-interface |
Compatible with the shadcn registry and v0 design systems.
The V15 confirmatory audit is a public technical disclosure, not a leaderboard. It separates receipt admission, rendered design quality, functional acceptance, and resource observations.
| Measured record | Exact reading |
|---|---|
| 36 / 36 frozen receipts admitted | Every preregistered agent cell had an auditable receipt. This is receipt admission, not universal performance. |
| 10 complete model-graded matched pairs | Rendered design-quality comparisons that survived the prespecified screen. This is model-graded evidence, not independent practitioner review. |
| Buzzr / Expo: mean +1.4; Paraform / web: mean β0.4 | The scoped non-inferiority gate passed on both graded task families. It does not establish general superiority. |
| 0 / 21 corrected task-by-resource tests rejected | The study did not establish a speed, cost, or token-use advantage. |
Separate historical release record: the 2.7 candidate record reported 2,187 / 2,187 tests passed. It is release evidence, not part of V15 and not proof that every project benefits.
Quality non-inferiority passed for the scoped Buzzr and Paraform task families. The full paper reports exclusions, failed paths, and limitations without imputation. No superiority, speed, or dollar-savings claim is made. Read the conference-style audit PDF, inspect the protocol and receipts, or review the V17 preregistration.
Memi InterfaceBench v1 is a 100 target tasks specification with 5 pinned seed tasks; it is not an aggregate performance score. The historical candidate record reported 2,187/2,187 tests and 70.57% statements coverage. The greater-than-25% claim remains not verified. Inspect the benchmark contract and workflow evidence.
Memi DesignWorkBench v2 holds 300 task contracts and requires practitioner calibration before any certification claim.
| Goal | Copy-paste prompt | Supporting workflow |
|---|---|---|
| Establish a baseline before a UI change | Audit this frontend before editing it. Prioritize the five changes with the clearest file:line evidence. | audit-frontend-design |
| Turn evidence into a scoped plan | Turn the findings into a scoped UI change plan. Reuse existing components and tokens before editing. | remember-design-system |
| Protect a pull request | Set up a deterministic design CI gate for this pull request. Fail only on newly introduced interface debt and save SARIF plus the HTML report. | enforce-design-ci |
The research is disclosure material, not a product leaderboard. It keeps functional, rendered-quality, and resource evidence separate so a result cannot be made to say more than the study supports.
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