@desert-ant-labs/emo

On-device multilingual emoji suggestions for JavaScript that run in the browser and in Node. Give Emo a short task, calendar entry, note, or message and it returns ranked emoji across 23 languages. Text stays local.

Two entries share one Emo API:

• @desert-ant-labs/emo (default): a WebAssembly pipeline with LiteRT.js inference, for the browser. It has no native dependencies, so a single import builds cleanly for every target of a multi-target bundler (Next.js, Remix, SvelteKit, Nuxt), including the browser bundle and the Client-Component SSR pass those frameworks render in Node. It is safe to import during server-side rendering, but LiteRT.js needs a browser (or Web Worker) to initialize, so Emo.load() runs inference only in the browser; calling it in plain Node throws an actionable error pointing you to /native.
• @desert-ant-labs/emo/native: a prebuilt native core, Core ML on macOS and LiteRT on Linux, for server-side inference in Node. No @litertjs/core, no build tools, no flags. Import it from server-only code (API routes, server actions, plain Node scripts). Do not import it from a component that also renders in the browser.

# Browser (default entry):
npm i @desert-ant-labs/emo @litertjs/core

# Server-side inference in Node (/native entry) needs no extra install:
npm i @desert-ant-labs/emo

The model is downloaded from the Hugging Face Hub on first use at the SDK's pinned tag, then cached. Nothing model-sized is shipped in the npm tarball.

import { Emo } from "@desert-ant-labs/emo";

const emo = await Emo.load();
const suggestions = await emo.suggestions("Pay my bills", { limit: 3 });
// [{ emoji: "💰", confidence: 0.65 }, ...]

emo.dispose(); // release the model (both builds)

Server-only code that wants the native core imports the same API from the /native subpath:

import { Emo } from "@desert-ant-labs/emo/native"; // server only

Loading the model

By default Emo.load() downloads the model files from the Hugging Face Hub (desert-ant-labs/emo) at the SDK's pinned tag, verifies them, and caches them. The browser build fetches the .tflite for LiteRT.js and caches it in the browser. The native build (/native) fetches the .tflite on Linux or the .mlmodelc/ on macOS and caches it under the OS cache dir.

To self-host or run fully offline, opt out of the Hub:

• directory: an explicit model directory (native build, or the browser build under Node). Files already there are used offline, otherwise the model is downloaded into it.
• modelBaseUrl: a base URL you serve the model files from, for example "/assets/emo/" (browser build).

Emo.load() also accepts:

• cacheRoot: base directory for the managed on-disk cache, default ~/.cache (native build, or the browser build under Node).
• onProgress: load or download progress callback, fraction in [0, 1].
• skinTone: one of "default", "light", "mediumLight", "medium", "mediumDark", or "dark" when calling suggestions.

Browser-build-only options:

• litert: a bring-your-own @litertjs/core module.
• litertWasmDir: URL or path to the LiteRT.js Wasm directory.
• accelerator: one of "wasm", "webgpu", or "webnn".

Bundlers and SSR

The default @desert-ant-labs/emo import is safe to use directly in components: it is pure JavaScript + WebAssembly with no native modules, so bundlers can build it for the browser and for the Node SSR pass from the same module graph with no configuration.

The @desert-ant-labs/emo/native subpath loads a native addon (via koffi) and is for server-only code. If you import it inside a framework that bundles server code (for example a Next.js Route Handler or Server Action), mark it external so the bundler does not try to bundle the native binary. In Next.js:

// next.config.js
module.exports = { serverExternalPackages: ["@desert-ant-labs/emo"] };

Platforms

The native server build (/native) ships for linux-x64, linux-arm64, and darwin-arm64. Other Node platforms throw a clear error at load(); use the default WebAssembly build, the Swift package, or a browser for those.

License

Desert Ant Labs Source-Available License 1.0: free below 100,000 monthly active devices per platform. Above that a commercial license is required. Full terms: https://license.desertant.com/1.0