Laya Ultrafast: a local port of the jev-ultrafast browser agent
The browser-use agent's decisions move from the hosted Jev API to laya-mlx, keeping the DOM snapshot, executor and safety checks.
BUILDS
Agents, routers, scorers and games — built on models that decide. Every entry links to the models it uses, so you can pull the same one and start from there.
63 builds · page 2 of 3
The browser-use agent's decisions move from the hosted Jev API to laya-mlx, keeping the DOM snapshot, executor and safety checks.
Both models get identical inputs and questions in unscripted matches, as shown in a Prompt Engineer video; only the model changes.
Tokenizer, encoder and decision head for the 322M multilingual checkpoint in one binary, with no Python, torch or BLAS.
A Java 17+ port with typed questions, a script-detecting router that picks the right checkpoint, and model downloads from the Hugging Face Hub.
Arcade physics, a browser flight recorder and a Laya checkpoint fine-tuned on CUDA that landed every held-out flight when run on MLX.
Typed questions against Jev, OpenRouter, Laya or cross-encoders, with a confidence policy that moves to the next backend on errors or low confidence.
A Chromium extension for X, LinkedIn and Reddit that scores posts locally through a Laya-MLX helper.
Fourteen PostgreSQL statements, half with deliberate bugs such as fan-out sums, = NULL and UPDATE without WHERE, each reviewed with four typed questions.
A self-hosted typed-decision server for NVIDIA GPUs and Apple Silicon that speaks Jev's wire format, with integrations for coding agents.
A FastAPI service that bundles all three Laya checkpoints behind a language router, with API keys, presets, OpenAPI docs and bulk inference.
A convert, quantize and deploy toolchain that turns Laya and related models into INT8 ONNX for offline CPUs, measured at 15.6 ms per question.
Allen Porter's Assist agent resolves intents and entities in a single Laya pass on CPU, CUDA or Apple Silicon, with nothing sent to the cloud.
Compares Jev, open-weight Laya, cross-encoders and GPT models as rerankers over a Postgres full-text and pgvector first stage, with cost per 1,000 queries.
Openlayer's library bundles the evaluations for an agent trace into one decision call, cheap enough to run on every trace — or free with local Laya.
Runs the original Laya safetensors through Candle with fused kernels, tiled attention and GEMM dispatch tuned for the M1 Pro.
A ggml-based runtime for all three checkpoints with native tokenization, decision heads and JSON output.
Fetches the official checkpoint on first use and answers typed questions natively, with EMLX on Apple Silicon.
A local-first cascade: confident Laya answers run straight away and uncertain ones escalate to Jev, matching Jev's accuracy at 1.8× the speed.
Will Sargent's stdio MCP server lets Claude Code and other clients classify text, score against a rubric or ask yes/no questions locally.
Unmodified weights on a DGX Spark, real NES emulation and text observations read from RAM: 207 verified decisions at a 16.79 ms median.
One typed question per frame on Metal, with the opposing paddle driven by three lines of arithmetic for comparison.
Two routers behind one endpoint on 180 labeled requests; Laya picks small, medium or powerful in a single forward pass, for free.
Loads the safetensors directly with candle and runs any checkpoint on CPU, Metal or CUDA — no Python, torch or ONNX export.
The 421M model learns to choose among enumerated placements scored by a board-evaluation teacher, with a guide to reproduce it.
Many of the first builds here were collected by madewithlaya.com. Every entry links to its creator’s own post, repository or site.