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 1048 projects people built with it.

Browse 1048 projects See the demos

real run · laya-mlx

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: 1048
New this week: 1048
Platforms: 18

Seen on X this month

All demos →

雨夹雪❄️

@mizorewww · Sep 20

laya-mlx plays Snake at 60 decisions per second on an M3 Max

介绍比Jev快50倍，在你设备上跑的laya-mlx! 只在你的设备上占用最高1G内存 Laya是一个开源的类似于Jev的,基于文本输出概率的分类系统我将其移植到MLX,并且做了一些性能优化! 视频中就是这个模型在我的本地M3Max上玩贪吃蛇这个模型能够以每秒决策60次的速度玩贪吃蛇！

♥ 14.1k↻ 1.2k4.2M viewsView on X

Project: laya-mlx→

atomic.chat

@atomic_chat_hq · Sep 21

Local Laya beats Jev at Tetris on a MacBook Air

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 ->

♥ 6.2k↻ 5891M viewsView on X

Avid

@Av1dlive · Sep 24

Jev decision layer routes tasks and recovers from tool failures

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:

♥ 4.9k↻ 385922.5k viewsView on X

brain function collapse

@brainFnCl · Sep 20

Laya plays Tetris locally with decisions in about 27 milliseconds

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 👇

♥ 2.6k↻ 208379.9k viewsView on X

Alex

@Alex_tra_memory · Sep 21

laya-coreml runs 99.5% of operations on ANE at 3.7 ms per decision

Thanks for the model, we were able to port Laya to coreml with 99.5% of the ops on ANE + benchmarked too. it is now blazing fast with 3.7 ms per decision on an M5 Pro. Release: Models:

♥ 1.3k↻ 111114.8k viewsView on X

Project: FluidUse→

Felix Josemon

@Felix_Josemon · Sep 25

A profile tells the story of Laya creator Nandakishor M

He comes from a small village in Kasaragod, Kerala. In 2016, he was selected for IISER Mohali but couldn't afford to make the move. He eventually studied engineering at Government College of Engineering, Kannur. Last week he released Laya, an open-source AI model that challenged TypeSafe’s Jev on speed and on published decision-making scores. This is the story of Nandakishor M and how he built Laya.

♥ 975↻ 12032k viewsView on X

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laya-mlx-jev-compat

matt-starburst

Serves a local MLX Laya model through a Jev-compatible HTTP endpoint