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The Laya project directory

Everything the world is building on Laya.

Laya turns any text into typed decisions in milliseconds, on your own machine. Here is what it does, and 2408 projects people built with it.

Browse 2408 projectsSee the demos

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?

choice
✓ billing98%
technical1%
sales1%

How urgent is this?

score
not urgent4%
soon15%
✓ blocking81%

Does the customer threaten to cancel or leave?

yes / no
✓ yes84%
no16%

Decided in 30.7 ms · 3 typed answers · one forward pass

Real outputs from Laya, not a mock-up. Run it yourself →

Projects
2408
New this week
39
Platforms
18

Seen on X this month

All demos →

QVAC

@qvac · Oct 19

QVAC SDK 0.22 adds Laya support for probabilistic decisions

QVAC SDK 0.22 is out, and it adds Laya, a model that makes decisions instead of writing text. We added: - Laya support: answers the questions you define, each with a probability - CUDA support: for LLM, embedding and VLA models. - MiniMax-H3 image to video: start a clip from your own picture - MOSS-SoundEffect v2: create sound effects on device - Model fit checks: broader model coverage, improved estimates for model combinations, and opt-in load refusal before model loading begins - Parallel tool calls: agents run several tools in one turn Learn more in the thread below. Complete release doc here: Star ⭐️ for updates.

♥ 1.5k↻ 931.7M viewsView on X

Van Quan

@Vanquan_titans · Nov 13

Acurast’s Laya Tetris demo lets an Android phone choose each move

Where would you drop the next Tetris piece? An Android phone gets to make that call in @Acurast Laya demo. The game works out where the piece could land. Then an AI model running on the phone picks one of those spots. When the piece drops, you can see exactly what the developer needed compute for. One piece, one decision. Here’s how I’d try it. Open Tetris, pick a landing spot in your head and watch where the model puts the piece. Then look at the device info beside the game. That’s the phone that handled the decision. I like this example because “contribute compute” sounds vague when you’re the one being asked to plug in a phone. Watching a model bury the gap you wanted to keep open? Now you know exactly which move to blame it for 😄 Try Laya here 👇 If you’d like to put a phone on the other side of a request like that, here’s my Cloud Rebellion invite 👇

♥ 512↻ 132.7k viewsView on X

Binz

@binz1104 · Nov 14

Acurast uses Laya Tetris to demonstrate smartphone-powered decentralized compute

The future of AI may need more computing resources than traditional infrastructure alone can provide. This is where the combination of AI and DePIN becomes interesting. @Acurast is building a decentralized cloud powered by smartphones, allowing everyday devices to contribute computing resources to applications running across its network. There are two ways to participate. Processor Lite supports compatible Android phones and iPhones. It lets users contribute during idle periods, such as overnight while charging, without factory resetting their devices. Processor Core turns a compatible Android phone into a dedicated Processor. It requires a factory reset, making it more suitable for spare devices. What interests me is the bigger picture. AI applications need computing power, while DePIN offers a different way to distribute infrastructure resources. Acurast connects these two ideas by turning smartphones into potential compute providers. Its Laya Tetris demo, where an AI model running on an Android phone chooses game moves, is a practical example of this concept. I believe @Acurast is worth watching as AI and decentralized infrastructure continue to develop.

♥ 447↻ 26.3k viewsView on X

Duong Phat

@duongphat99 · Nov 12

Laya selects Tetris moves on an Android phone in Acurast

What does a phone actually compute on @Acurast? In the Laya Tetris demo, the game generates five possible placements for a piece. An AI model running on an Android phone’s CPU selects one, and the game plays that move. The interface also shows information about the phone handling the request. It gives “contributing compute” a concrete meaning: a device running a model and returning a decision. Explore the demos: To get involved, join the Cloud Rebellion through my referral link:

♥ 422↻ 75.7k viewsView on X

Meow

@meo_testnet · Nov 13

Laya Tetris demonstrates AI move selection on a phone

What if your phone wasn't just consuming AI, but actually helping run it? One demo from @Acurast that caught my attention is Laya Tetris. The game generates possible placements for the next Tetris piece, then an AI model running on an Android phone chooses where to put it. I like this example because it makes decentralized mobile compute easier to understand. Instead of talking about abstract computing capacity, you can actually see a phone handling an AI workload. Your smartphone might be capable of much more than you think.

♥ 415↻ 243.6k viewsView on X

Nandakishor m

@Nandakishorm1 · Oct 24

Laya blocks agentic website attacks and checks tool calls on-device

Laya can help protect your website from agentic attack jailbreaking. Imagine a swarm of agents attacking your website, and in under 33 ms, it all gets blocked. Also, before the agent is allowed to call a tool (send email, query a database, execute code, etc.), Laya can answer: “Is this action consistent with the original user request and safe under the current policy?” Low confidence or a clear “no” triggers a human review or hard block. All on your browser with the 421 M model on edge!!!

♥ 413↻ 3810.8k viewsView on X
Project: laya→

Directory

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colibri

JustVugg

Runs large open models locally in pure C, including Laya for typed decisions

40.1k·GitHub repo

laya

NandhaKishorM

Runs multilingual typed-decision models and provides routing, serving, and integration options

23.9k·GitHub repo

laya-mlx

mizorewww

Runs Laya typed-decision models locally on Apple Silicon using MLX

6.3k·GitHub repo
C

laya

convaiinnovations

A multilingual-ready System 1 model that returns calibrated typed decisions over text in one pass

18.1k·HF model

laya-coreml

mizorewww

Runs Laya typed-decision models locally on Apple Silicon using Core ML and the Neural Engine

1.4k·GitHub repo

laya

receptron

Runs Laya typed-decision models from Node.js and TypeScript through ONNX Runtime

450·GitHub repo
C

laya-multilingual

convaiinnovations

A multilingual System 1 model that returns calibrated typed decisions over text in one pass

9.4k·HF model

typesafe-mcp

itsmostafa

Connects AI agents to typed-decision models through an MCP server

303·GitHub repo
C

laya-demo

convaiinnovations

A Gradio demo for Laya typed decisions, multilingual routing, moderation, and RAG filtering

288·HF Space

openJev-verdict-2.0

Heman10x-NGU

Develops and benchmarks a non-autoregressive typed-decision model against Jev and Laya

286·GitHub repo

quackd

rokbenko

A Python CLI coordinates robots using LLMs, vision-language-action models, and decision models

244·GitHub repo

laya-ultrafast

ipenywis

Runs a browser automation agent using local Laya decisions through MLX

181·GitHub repo

mu

qybaihe

Provides a coding agent with a judgment kernel that can use Laya as its local judge

179·GitHub repo
C

laya-typed-decisions

convaiinnovations

A Laya model fine-tuned for agent traces, customer service, invoices, and security incidents

3.5k·HF model

FluidUse

FluidInference

Automates form filling on Apple devices with on-device models, including Laya through Core ML

160·GitHub repo

jev-cookbook

datawhalechina

Teaches Jev and demonstrates fine-tuning and serving the open-source Laya model

158·GitHub repo

laya-playground

wdobry

A local website combines Laya model demos, games, a benchmark, and an agent skill

157·GitHub repo
A

laya-mlx

aac6fef

An MLX FP16 conversion of Laya for native inference on Apple silicon

122·HF model

keel

codejunkie99

A macOS coding workspace uses local Laya or hosted Jev to select task routes

122·GitHub repo

laya-vs-jev

virajbhartiya

A side-by-side T-Rex game compares local Laya and hosted Jev decision models

100·GitHub repo

laya.cpp

lkarlslund

A native C++ runtime runs Laya typed-decision models across GPU and Apple backends

89·GitHub repo

jevals

openlayer-ai

Agent evaluation and guardrail tools run with local Laya, Kev, or hosted Jev

86·GitHub repo

system-one-foundation-models

peterfriese

Bridges Laya and Jev System One decision models into Apple’s Foundation Models framework

72·GitHub repo

chat-seek-vscode

fstandhartinger

A VS Code extension searches chat archives and uses Laya to rerank matches

66·GitHub repo