GitNova

GitHub seismograph — discoveries and growing interest

preferencemodel/karotte

AI agentsPython
Total stars
20
Today · UTC
+11since 18:45 UTC
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A framework for building robust RL environments to train aligned AI.

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About the project

A framework for building isolated RL environments where AI models run tasks inside a VM, with each run's transcript saved for analysis.

Useful for
  • Create a custom RL environment from a template and run its example task
  • Run a task with a Claude model and inspect the transcript in the dashboard
  • Add your own tasks to an environment for training aligned AI

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

2.0 Steady Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 7, 2026, 19:50 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

0612September 13, 2026October 7, 2026

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

  • Star-counter measurements on 2026-10-07 (UTC), 18:45–19:46: 9 → 20 stars (+11). This is the change over that interval.
  • Estimated end-of-day forecast: about +13 stars, using observed gains and the previous day.
  • The repository is 22 days old and already has 20 stars.
  • Hacker News: “Show HN: Karotte, a framework for building robust RL envs” — 8 points, 1 h ago.

Three GitHub discoveries in each edition

What they do, why they are gaining interest, and what to check before using them.

Editions at 10:00, 16:00, 22:00 MSK.

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Numbers

Total stars
20
Today
+11 stars measured 2026-10-07, 18:45–19:46 UTC, ≈ 13 by evening
Forks
2
Issues and pull requests
58
Watchers
0
Language
Python
License
MIT
Created
September 15, 2026
Last push
October 7, 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
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