Browser Use Olympics + almond-fastloop

eriestra/browser-use-olympics on GitHub

Stars: 0
Forks: 0
Language: HTML
License: MIT
Last push: 17 Sep 2026

Read from GitHub on 24 Sep 2026. Counts change daily.

How it uses Jev

const t = performance.now();
const r = await fetch("https://api.typesafe.ai/v1/systemone", { method: "POST", headers: { Authorization: `Bearer ${KEY}`, "Content-Type": "application/json" }, body: JSON.stringify(body) });
const j = await r.json(); if (!r.ok) throw new Error("typesafe " + r.status + " " + JSON.stringify(j).slice(0, 200));
return { ms: performance.now() - t, answers: j.answers, usage: j.usage };

View in almond-fastloop.mjs

Open on GitHub

PrimitivesChoice Noul

Use casesTyped tool dispatch Real-time control

Jev Ultrafast (Browser Use)

Browser Use's fast browser agent where Jev picks the operation and the DOM element in a single request; a small LLM is only invoked to write text when typing is required. Demoed on a Google Flights search.

browser-useOpen

19k starsFlight search 7.1 s

ProjectTyped tool dispatch+2

typesafe-ai/skills (official TypeSafe agent skill)

Official agent skill for Claude Code, Codex and other agent environments; installs via claude plugin marketplace add typesafe-ai/skills or npx skills add typesafe-ai/skills. MIT licensed.

TypeSafe AI2k starsOpen

ToolAgent routing and skill selection+1

jkudish/jev-mcp

MCP server that gives Claude Code, Codex, Amp, OpenCode and other agents ten Jev judgment tools, each returning typed probabilities they can branch on. The author calls it early software.

jkudishOpen

320 starsPer call 150-500 ms

ToolAgent routing and skill selection+2

Laya-MLX

An independent MLX port of Laya for Apple Silicon, 13.4ms median for a short English decision and 7.4ms on the multilingual checkpoint, with a Snake demo that plays at up to 75 moves per second under 1GB of memory.

mizorewwwOpen

6.1k starsShort decision 13.4 ms P50Snake demo 75.4 moves/s

ToolReal-time control

Agent Desktop

Rust desktop automation that reads apps through the OS accessibility tree instead of pixels. Its jev-desktop skill takes a plain-language goal and has Jev pick one operation and one target element per turn, so the 150-element tree never enters the agent's context.

lahfirOpen

1.6k starsToken reduction 78-96%

ProjectTyped tool dispatch+1

Laya-CoreML

Core ML ports of all three Laya checkpoints for Apple Silicon, reaching 4.98ms P50 on the Neural Engine for a short multilingual decision, with a Snake demo sustaining about 50 decisions per second.