Use Laya from Node.js
You can run Laya inside a Node.js process with ONNX Runtime, or keep the model in a separate server and call it over HTTP. Both routes use the same state-plus-typed-questions request shape as the Python package and the Jev API.
378 projects
jgent
Sube-py
Routes on-demand tool access in Pi using Jev or a local Laya model
kime-compat
tamnd
Checks whether kime supports TypeSafe and Laya APIs, clients, SDKs, and tests
Wayfinder
manish-9245
Serves Laya decisions through an HTTP gateway with policies, a web console and an MCP server
fly-brain-agent
shenjie002
Drives a browser-based fruit-fly simulation with Laya decisions and spiking-neuron dynamics
LayaOnAWS
goodbyedavid
Deploys a Laya inference server on Amazon ECS with GPU capacity in an AWS account
Laya-Firehose
AdityaRawat00189
Ingests incoming data, classifies it with Laya, and routes items by urgency
laya-studio
jiaheng6
Provides a Windows desktop client for installing, running, testing, and serving Laya models
local-laya
maurostorch
Runs Laya as a Dockerized HTTP service with a web interface
jev-laya-tetris
HarryReidx
Benchmarks TypeSafe Jev against local Laya in a competitive Tetris duel
laya-code-router
SupremeDreamZ
Routes Claude Code and Codex turns using a local Laya model
laya-mlx-voxel
yuxino
Builds voxel reliefs by using Laya-MLX to choose extrusion depths from image pixel statistics
pi-laya-router
codenamekt
Routes Pi coding-agent prompts to mapped models using a local Laya intent classifier
von-laya-jev-paint-compare
zhangyunting123
Creates side-by-side paintings from typed decisions by VON, Laya, and Jev
korean-decision-benchmark
jkf87
Benchmarks SemIf, Decider, Laya, and Jev on Korean hate-speech classification
stopline
mdabydeen
Uses Jev or Laya to classify browser-agent actions before applying a policy gate
wizden-moonlander
WizdenOrg
A lunar lander game compares Laya and Jev as typed-decision flight controllers
nexus-decisor-laya
janiojandson
A JavaScript Nexus decision component built around the Laya System 1 model
laya-compaction
tristankenney
A Claude Code plugin that compacts context using scores from a local Laya model
laya-compact
AxeForging
A local context-compaction tool that uses Laya to score which tool calls remain needed
TrucoLaya
guillermojmontenegro-hub
Runs an Argentine Truco card game with AI players controlled by Laya
omp-laya
agusbyna
An omp wrapper adds Laya decisions and prompt pre-screening to agent workflows
laya-mc-bot
LixiaoLeo123
Minecraft bots use Laya decision models alongside external LLM harnesses
pi-laya-router
rabi
Adds Laya decision tools and prompt-based model routing to the pi agent
dsh-browser-laya
drscrewdriver
A reserved npm package name for a planned browser-action backend using a local Laya sidecar
In-process: @receptron/laya
@receptron/laya runs the model with ONNX Runtime, so neither Python nor PyTorch is needed at runtime. It requires Node.js 20 or newer.
npm install @receptron/laya
import { Laya } from "@receptron/laya";
const laya = await Laya.load();
const result = await laya.systemOne(
{ subject: "Refund not received", body: "I cancelled two weeks ago and still have no refund..." },
{
department: {
type: "choice",
instructions: "Which team should handle this ticket?",
criteria: { billing: "payments, refunds, invoices", support: "product help and bugs", sales: "new purchases" },
},
churn_risk: { type: "noul", instructions: "Is the customer likely to cancel or dispute?" },
},
);
result.answers.department.choice; // "billing"
await laya.close();
Per its README, the fp32 ONNX weights are about 1.7 GB and download on first use. Budget roughly 2 GB of RAM. A three-question call takes about 140 ms on an Apple Silicon CPU once warm, and the output matches the Python implementation to four decimal places. The package is MIT-licensed; the weights are Apache 2.0.
Over HTTP: laya-studio
laya-studio is a zero-dependency TypeScript client for a running Laya server (Node.js 18.17+):
npm install laya-studio
pip install "laya[serve]"
laya-serve # binds 0.0.0.0:8000
Other JavaScript projects
- @r4ai/laya-web: ONNX Runtime Web runtime for browsers and Node.js.
- kevala: a Rust engine compiled to WebAssembly with WebGPU kernels, installable from npm.
- gg-friggin-ez: a profanity and toxicity screener that defaults to Jev and can point at a local Laya endpoint.
Caveats
The English checkpoint's options must fit a 192-token budget and the state is cut at 512 tokens. The receptron README recommends fewer than about 20 options per choice question.
More ways to use Laya