Run Laya in the browser
Laya is small enough to run in a browser tab with no server and no API key. The input never leaves the page. The trade-off is a download of several hundred megabytes on the first visit and much slower inference than a native runtime.
361 projects
laya-playground
marcosnovaesq
Runs Laya locally behind a TypeSafe-compatible API and provides a web UI for testing requests
laya-jev-ultrafast
leisc
A browser agent that uses Laya for typed action and element selection, with Jev as an optional backend
chakravyuha-oss
kspviswa
A browser maze game uses a locally hosted Laya model to choose each move
XERON
PIXELZX0
Fine-tunes Laya decision models for multilingual classification, scoring, routing, and browser actions
Nekomimi-Waifu-Seeker
CooLguNxDD
Uses Laya to guess anime and other fictional characters through typed decisions
laya-web
nvkudva
Runs a quantized Laya decision model entirely in the browser using ONNX Runtime Web
laya-web-poc
alexander-voronkov
A browser prototype runs a quantized Laya model locally for typed question answering
laya-warehouse-safety
senthilr-nv
Simulates warehouse robot decisions using Laya, with a browser replay and deterministic collision-safety layer
jev-arena
Samge0
Compares Jev, NanoJev, and Laya decisions in Tetris and 1024 with recorded gameplay replays
laya-jev
kiuckhuang
Adds a local Laya decision endpoint and conformance tests to a Jev browser-agent fork
laya-bot-det
koteitan
Classifies Nostr authors as bots with Laya running in the browser
laya-mlx-wzq
smile-magic
A browser-based Gomoku game runs Laya-MLX locally to choose moves on Apple Silicon
laya-dev
AVMG20
A local HTTP server exposes Laya through a Jev-compatible API and includes a browser playground
laya-local
vit-cerny
Runs a browser agent using local Laya decisions or TypeSafe's hosted Jev backend
laya-email
sreekar2403
Tags Gmail messages locally with five Laya-powered classifications in one pass
lunar-laya
mraad
Runs Laya typed decisions on Apple MLX to guide a lunar-landing simulation
laya-curso
inematds
Teaches structured decisions with Laya and Jev through lessons, exercises, and practical projects
laya-flappy
cohenom
Uses the Laya model to vote on live game states in a flappy-bird-style physics game
laya-test
petrixh
Runs Laya as the decision-making pilot in a browser game with reproducible evaluations
laya-int8
koteitan
Provides an int8-quantized Laya Multilingual ONNX model split into downloadable parts
docker-laya-api
TheNerdMan
Packages the Laya decision model as a containerized HTTP API with an optional browser demo
lunar-mpc-laya
mraad
Pairs Laya with adaptive model-predictive control in a lunar lander decision game
laya-demo-web
sriramkasyap
Provides a browser playground for sending decision requests to a self-hosted Laya API
laya-snake-arena
sathwikkuncham
Compares local Laya and Jev decision engines in a configurable Snake arena
Libraries
kevala is a zero-dependency Rust engine compiled to WebAssembly, with WebGPU kernels. It works from any page:
<script type="module">
import { Kevala } from "https://cdn.jsdelivr.net/npm/kevala@latest/js/src/index.js";
const kevala = await Kevala.load({ model: "laya", onProgress: console.log });
</script>
or pnpm add kevala. According to its README, the Laya int8 pack is 479 MB and is kept in browser storage after the first visit.
@r4ai/laya-web runs ONNX Runtime Web with WebGPU and a WebAssembly SIMD fallback, and is designed to run in a Web Worker:
npm install @r4ai/laya-web onnxruntime-web
Demos you can open
- layaForWeb: the English checkpoint as quantized ONNX (default build about 440 MB), with a live demo.
- open-jev-laya: multilingual Laya on Transformers.js (fp16 ONNX about 647 MB) with Gomoku, Big Two and a 3D maze.
- layaAsRagJudge: checks RAG claims against retrieved evidence entirely in the tab.
Speed and support
The layaForWeb README reports that a three-question call on the default WASM backend took about 2 to 5 seconds on a 2-core machine. In that project, WebGPU works only with the int4 build, because ONNX Runtime's WebGPU MatMulNBits kernel supports 2- and 4-bit weights. open-jev-laya tries WebGPU and falls back to WebAssembly.
Caveats
Quantized browser builds do not match PyTorch exactly. layaForWeb reports 97.9% top-answer agreement for all three of its quantized builds, with the largest probability gaps in int4. For a real-time loop, laya-pong keeps the model native. Its README gives the reason: the checkpoint wants about 2.4 GB resident in f32, and wasm32 has a 4 GB address space and no Metal.
More ways to use Laya