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！
Project: laya-mlx→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.
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?
scorenot 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 →
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 ->
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:
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 👇
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:
Project: FluidUse→
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.
Directory
+ Submit yours
local-software-factory
champion19007
Runs a local coding assistant that uses Laya for task triage and Qwen for code generation
0·GitHub repo
Reai
ReKara12
Provides a local voice assistant for anticipatory operating-system navigation and control
0·GitHub repo
doomgemma
dexmac221
Compares Laya with fine-tuned Gemma models in FreeDoom accuracy, calibration, latency, and gameplay tests
0·GitHub repo
order-risk-management-laya
Shariful-Islam-Sourav
Analyzes e-commerce orders for fraud risk using Laya’s typed-decision engine
0·GitHub repo
laya-mlx
HuSuuuu
Runs the Laya typed-decision model locally on Apple silicon using MLX
0·GitHub repo
open-laya
skorotkiewicz
Provides a local HTTP API and MCP tools for Laya decisions
0·GitHub repo
laya-packet-analyser
esterhuizen
Analyzes network traffic and uses a local Laya model to triage alerts and classify conversations
0·GitHub repo
laya-e2-multitype
13974737898-lgtm
Studies Laya decision quality through reproducible benchmarks, comparisons, and fine-tuning experiments
0·GitHub repo
weekofstay-agent-demo
drayapaty
Demonstrates an event-week hotel agent using Laya decisions and Jev browser automation
0·GitHub repo
P
glove-classifier
porkytheblack
Provides typed-decision adapters, cascades, and tools for Glove agents, including Laya and Jev backends
0·npm package
J
mahabodi
jollypk
Combines topology memory and ONNX Runtime-based Laya decisions in a System-1 engine for AI agents
0·npm package
J
maclaya
jannisleifeld
Serves local Laya models on Apple Silicon through a Jev-compatible API with a dashboard and playground
0·npm package
G
is-even-a-decision
GitHub Actions
Checks whether numbers are even using a local open-weights Laya decision model
0·npm package
A
laya-trader
antonellof
Paper-trades crypto and S&P 500 stocks using Laya’s market outlook decisions
0·HF Space
L
laya-ignite
Lamri26
Bootstraps calibrated, specialized Laya decision heads from criteria definitions
0·HF Space
T
laya-vision-microduck-kick-demo
thaitea
Demonstrates a Laya vision model controlling a simulated duck robot to find and kick a ball
0·HF Space