A three-model local image pipeline with a Laya style router
spoof.sh's ComfyUI workflow chains a Qwen prompt enhancer, a Laya router that picks the style and Qwen-Image on one NVIDIA card — about 37 seconds per image.
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.
17 builds
spoof.sh's ComfyUI workflow chains a Qwen prompt enhancer, a Laya router that picks the style and Qwen-Image on one NVIDIA card — about 37 seconds per image.
Give it a numbered list of the page's controls and it picks the action and target — a drop-in for jev-ultrafast tooling that needs no screenshots.
pythongiant's OpenCode plugin scores agent drift continuously with Laya and Jensen–Shannon divergence and charts it across the session.
An Agent Skill and MCP tool that gives Codex, Claude Code, OpenCode and Pi a local decision capability for routing work.
The browser-use agent's decisions move from the hosted Jev API to laya-mlx, keeping the DOM snapshot, executor and safety checks.
Diffs the PR against main, asks one semantic yes/no per spec and runs just the affected tests, judged by a hosted or self-hosted Laya.
Aaron Edell compared laya-mlx with a hosted Jev tier and made the case for a Laya-first cascade.
Typed questions against Jev, OpenRouter, Laya or cross-encoders, with a confidence policy that moves to the next backend on errors or low confidence.
Akihito Koriyama's Semantic Browser follows HAL links by their ALPS semantics, with Laya-MLX giving each link a probability.
yankis's video runs Nimble, Decider, OpenJev, Laya and others through the same JevBench scoring; Laya finishes last.
Sai Dutta's head-to-head: Jev leads on triage, guardrails, moderation and multilingual intent, while Laya wins on AG News.
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.
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.
Two routers behind one endpoint on 180 labeled requests; Laya picks small, medium or powerful in a single forward pass, for free.
A Hermes plugin that classifies each task against an index of about 300 skills with a local Laya model and injects the best match as context for the turn.
At every step Jev or Laya picks the next tool, scores progress and estimates risk; the language model only executes and never decides.
Chooses the next web action with Laya, trained and evaluated on the Mind2Web benchmark; the weights are on Hugging Face.
Many of the first builds here were collected by madewithlaya.com. Every entry links to its creator’s own post, repository or site.