jev-bfs (Wikipedia link races)

Jev finds a Wikipedia path from Coffee to Black hole — Image from github.com

komikat/jev-bfs on GitHub

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

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

How it uses Jev

for attempt in range(3):
    stats["jev_requests"] += 1
    r = await http.post("https://api.typesafe.ai/v1/systemone", json={
        "model": "jev-latest", "state": {"query": query, "links": links}, "questions": questions})
    if r.status_code not in {429, 500, 502, 503, 504, 529} or attempt == 2:
        r.raise_for_status()
        break
    await asyncio.sleep(2 ** attempt)
data = r.json()
stats["model"] = data["model"]
for key in ("input_tokens", "output_tokens"):
    stats[key] += data.get("usage", {}).get(key, 0)
scores = []
for i in range(len(links)):
    answer = data["answers"][str(i)]

View in jev_bfs/core.py

Open on GitHub

PrimitivesScore

Use casesSemantic reranking 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

[AINews] Jev: a System One Model that only decides/classifies/routes/scores

AI News daily roundup leading with the Jev launch, summarising RLCD and TypeSafe's 20-200x speed and 40-400x cost claims. Its recap of reactions notes posters using Jev as a structured classifier, judge and routing policy where text generation is unnecessary.

Latent.Space (AI News)Open

ArticleIntent and model routing+1

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

ModernBERT

Modernized BERT encoder used as the backbone for fast fine-tuned classifiers and rerankers. The non-generative baseline Jev's cost and latency claims are usually measured against. Star count is GitHub's rounded display figure.

AnswerDotAI1.7k starsOpen

AlternativeSupport inbox triage+3

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.