kevinshowkat

kevinshowkat / cue

Public

Image-first desktop design workstation for canvas editing, design review, custom tools, and reproducible exports

63
0
100% credibility
Found Mar 29, 2026 at 63 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Cue is an open-source desktop app for creative image editing, featuring multi-tab sessions, shared canvases, direct edits with AI suggestions, reusable tools, and exports like PSD or PNG.

How It Works

1
📥 Download Cue

Grab the free macOS app from GitHub and install it on your computer.

2
🖼️ Start a design session

Open Cue and create a new tab to begin working on your images.

3
🖱️ Drop in your photos

Drag pictures onto the shared canvas to lay out your design ideas.

4
Edit with smart suggestions

Draw marks or lasso areas, then get helpful design ideas and apply quick changes right on the canvas.

5
💾 Save custom tools

Capture your favorite edits as reusable shortcuts for next time.

🎉 Export your masterpiece

Save your polished design as PSD, PNG, or other formats, ready to share or print.

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AI-Generated Review

What is cue?

Cue is a Rust-powered desktop app for image-first design on a shared canvas: drop in images across tabs, make direct edits, get AI design review suggestions, save custom tools, and export PSD, PNG, JPG, WEBP, or TIFF with a verifiable receipt. Built with Tauri for native performance, it solves clunky image workflows by keeping everything local yet AI-enhanced—no cloud lock-in, just reproducible canvas edits. Currently verified on macOS with source and DMG releases.

Why is it gaining traction?

It stands out with agent-driven design reviews that analyze your canvas marks and selections for targeted proposals, plus reusable custom tools and session timelines for iterative work. Devs dig the hotkey action grid that adapts to selection count (1-99 images), blending local edits with model-backed abilities like DNA extraction or soul leeching. Early hooks: fast dev scripts for building/testing and juggernaut exports that track provenance.

Who should use this?

UI/UX designers prototyping image-heavy layouts in Cuenca-style studios or remote setups. Indie game devs compositing assets with custom canvas tools. Frontend teams needing quick design reviews without Figma roundtrips—perfect for canvas editing before cueing up GitHub Actions deploys.

Verdict

Grab it if you're on macOS and want AI canvas superpowers today (63 stars, run `./scripts/dev_desktop.sh`); 1.0% credibility reflects early maturity but solid source/docs/tests make it dev-ready. Windows/Linux roadmap ahead—watch for layered exports.

(187 words)

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