The Laya project directory
Laya turns any text into typed decisions in milliseconds, on your own machine. Here is what it does, and 2150 projects people built with it.
Input text
“Hi, we were billed twice for March. Please refund the duplicate today or we will cancel our plan.”
laya-mlx · 146 input tokens · 0 output tokens
Which team should handle this ticket?
choiceHow urgent is this?
scoreDoes the customer threaten to cancel or leave?
yes / noDecided in 30.7 ms · 3 typed answers · one forward pass
Real outputs from Laya, not a mock-up. Run it yourself →
Seen on X this month
All demos →
Local Laya moggs Jev at @grok 4.7-built Tetris 🧩 An open-weights System One model called Laya, beat cloud-based Jev at playing Tetris by making decisions 11 times faster, running locally on a 16GB MacBook Air! Run AI models locally ->
jev + opus 5.5... i simply can't comprehend why everyone isn't building this yet. in my workflow, this cut costs and time by ~80%. i think it's one of the best ways to use it. → pick relevant project notes before loading the context → route suitable tasks to a faster worker → choose a recovery path when a tool fails → run focused checks before the full test suite opus handles the hard reasoning. jev picks from options the harness prepares and validates. i explain how to build the decision layer in the article below:
Local Laya beat @OpenAI's decision API 🕷 Four decision models raced down a web page ripping out links that name a spider and Laya running locally on an M5 Max took 34 ms a link so it checked 3x more than the cloud models Run decision models locally ->
This is NOT Jev. Open source. Runs on your laptop. Decides in ~27 ms, about 200× faster than waiting on a hosted LLM. Here it is playing Tetris by itself 👇
You can now run Laya Decision models locally on just 4GB RAM! 🔥 Works on CPU, Mac, Windows, Linux and GPU setups. Serve Laya through a Jev-compatible API via Unsloth Desktop. GitHub: Guide:
Jev cleaned my desktop! 600+ files sorted neatly into categorized folders. All for free. Because I self-hosted Laya (open-source Jev alternative, 29k GitHub stars) on InstaCloud ☁️
colibri
JustVugg
Runs large open models locally in pure C, including Laya for typed decisions
laya
NandhaKishorM
Runs multilingual typed-decision models and provides routing, serving, and integration options
laya-mlx
mizorewww
Runs Laya typed-decision models locally on Apple Silicon using MLX
laya
convaiinnovations
A multilingual-ready System 1 model that returns calibrated typed decisions over text in one pass
laya-coreml
mizorewww
Runs Laya typed-decision models locally on Apple Silicon using Core ML and the Neural Engine
laya
receptron
Runs Laya typed-decision models from Node.js and TypeScript through ONNX Runtime
laya-multilingual
convaiinnovations
A multilingual System 1 model that returns calibrated typed decisions over text in one pass
typesafe-mcp
itsmostafa
Connects AI agents to typed-decision models through an MCP server
openJev-verdict-2.0
Heman10x-NGU
Develops and benchmarks a non-autoregressive typed-decision model against Jev and Laya
laya-demo
convaiinnovations
A Gradio demo for Laya typed decisions, multilingual routing, moderation, and RAG filtering
quackd
rokbenko
A Python CLI coordinates robots using LLMs, vision-language-action models, and decision models
laya-ultrafast
ipenywis
Runs a browser automation agent using local Laya decisions through MLX
mu
qybaihe
Provides a coding agent with a judgment kernel that can use Laya as its local judge
laya-typed-decisions
convaiinnovations
A Laya model fine-tuned for agent traces, customer service, invoices, and security incidents
FluidUse
FluidInference
Automates form filling on Apple devices with on-device models, including Laya through Core ML
jev-cookbook
datawhalechina
Teaches Jev and demonstrates fine-tuning and serving the open-source Laya model
laya-playground
wdobry
A local website combines Laya model demos, games, a benchmark, and an agent skill
keel
codejunkie99
A macOS coding workspace uses local Laya or hosted Jev to select task routes
laya-mlx
aac6fef
An MLX FP16 conversion of Laya for native inference on Apple silicon
laya-vs-jev
virajbhartiya
A side-by-side T-Rex game compares local Laya and hosted Jev decision models
laya.cpp
lkarlslund
A native C++ runtime runs Laya typed-decision models across GPU and Apple backends
jevals
openlayer-ai
Agent evaluation and guardrail tools run with local Laya, Kev, or hosted Jev
system-one-foundation-models
peterfriese
Bridges Laya and Jev System One decision models into Apple’s Foundation Models framework
chat-seek-vscode
fstandhartinger
A VS Code extension searches chat archives and uses Laya to rerank matches
