laya-browser-agent: local decisions for browser automation
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.
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.
9 builds
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.
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.
Typed questions against Jev, OpenRouter, Laya or cross-encoders, with a confidence policy that moves to the next backend on errors or low confidence.
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.
Many of the first builds here were collected by madewithlaya.com. Every entry links to its creator’s own post, repository or site.