**Modly** sits at **#9 on GitHub Trending** today with **+579 stars in a single day**, taking it to **5,966 stars and 604 forks**. It is a **desktop application for Windows, Linux, and Apple Silicon macOS** that turns a photo or a text prompt into a 3D mesh using open-source models that **run entirely on your own GPU** — no cloud round-trip, no per-generation billing. The repository opened on **17 March 2026** under the **MIT license**, built by a solo developer publishing as **Lightning Pixel**. The part that separates Modly from a single-model wrapper is that **it ships no model of its own**. Generation capability arrives through an **extension system**, where each extension is a GitHub repository containing a `manifest.json` plus the runtime entry files its type requires — installed by pasting an HTTPS repo URL into the **Models** page. Five official extensions are published today, and they read as a tour of the open image-to-3D field: **Hunyuan3D 2 Mini**, **Hunyuan3D 2 Mini Turbo**, **Hunyuan3D 2 Mini Fast**, **TripoSG**, and **Trellis2 GGUF**. Swapping the generator is an install, not a fork, and third-party extensions install by the same path. Generation is expressed as a **node graph** rather than a single button. The documented starting point is `Image → Generate Mesh → Add to Scene`, wired on the Workflows tab and then run from the Generate tab. **Wiring is validated before a run**, and this is a genuinely thoughtful detail: an invalid graph stays in place and surfaces inline and toast warnings **instead of dropping the mesh you are already looking at**. The **v0.4.1** release on **16 July 2026** pushed the graph model further with **While Loop nodes**, **For Each iterator nodes for image, text, and mesh**, per-slot text inputs on extensions, and audio process outputs. Imported meshes can be **smoothed and decimated in-app**, with optimized results written back into the workspace. There is also a **stdlib-only CLI** at `tools/modly-cli/agent.py` so agents and scripts can drive a running Modly app without the UI, emitting machine-readable JSON on stdout. `generate --image ./input.png --output ./export.glb` starts a workflow run, polls it, and exports the mesh, returning recovery metadata such as `workflow-run status` and `workflow-run cancel` in the response. The canonical commands are `health`, `model`, `workflow-run`, `capability`, and `process-run`; the docs are explicit that `legacy`, `dev serve-api`, and the `experimental` ComfyUI helpers are **compatibility surfaces, not the agent contract**, and that `dev ensure-server` starts only the FastAPI backend without proving the Electron bridge is ready. The limits are real. **macOS support is Apple Silicon only**, there is no hosted fallback if your GPU cannot hold the model, and the app is still labelled **Beta** at v0.4.1 with **57 open issues**. The most recent commit to `main` dates to **25 July 2026**, so day-to-day development has been quieter than the star chart suggests. The MIT license also carries an unusual author-added clause: forks that ship as their own app **must keep visible credit** to Modly and Lightning Pixel in the UI or documentation, which is why GitHub's license detector reports the repository as "Other" rather than plain MIT.