Seismograph

What’s gaining stars on GitHub right now

openlayer-ai/jevals

Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya.

AI agentsPython#agents#evals#guardrails#jev#llm
4.1 Early signal Magnitude out of 10 — how fast interest is growing, not a quality score. Star growth looks organic. Data as of September 22, 2026, 05:58 UTC.
Open on Seismograph Open on GitHub

About the project

A library for evaluating and guarding AI agents: instead of an LLM judge it uses typed questions to Jev/Kev/Laya models, returning calibrated probabilities in a single request. Lets you check every trace quickly and cheaply, including inside the agent loop.

Useful for

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

Why it’s trending

Stars per day

02550September 20, 2026September 22, 2026

Bars are daily stars, the line is the usual pace. Red marks spike days.

Numbers

Total stars
49
Today
0 · ≈ 23 by evening
Forks
2
Issues and pull requests
0
Watchers
0
Language
Python
License
MIT
Created
September 20, 2026
Last push
September 22, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Hacker News discussions

Spotted in

Share

README badge

Paste it into your README — the badge shows the current magnitude and links to this page.

Seismograph: 4.1
[![Seismograph](https://gitnova.dev/badge/openlayer-ai/jevals.svg?lang=en)](https://gitnova.dev/en/r/openlayer-ai/jevals)

Similar by description

  1. 8.7
    mizorewww/laya-mlx

    Native MLX runtime for Laya typed decision models: returns probabilities for choices, scores or truth values without text generation, running locally on Apple Silicon.

    BreakoutLanguage modelsPython+0 stars today, ≈ 1,245 by evening

  2. 5.0
    AnotiaWang/awesome-jev

    A curated list of applications, libraries, and resources for Jev, TypeSafe's System One model that evaluates typed questions against a state and returns structured answers with probabilities.

    Early signalLearning & lists+0 stars today, ≈ 71 by evening

  3. 4.0
    itsmostafa/typesafe-mcp

    A Go MCP server that gives AI agents access to TypeSafe's Jev model: instead of parsing prose, the agent gets typed answers with probabilities it can branch on. One-command setup for Claude Code, Claude Desktop, Codex,…

    Early signalAI agentsGo+0 stars today, ≈ 40 by evening