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shhivv/biome-s1

AI agentsPython
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Biome-S1: a A family of tiny System-1 executors for computer-use agents

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About the project

Taiga-S1 is a tiny 1.2M-parameter model that drives FreeCAD step by step: given an ordered list of features, it builds a part command by command while reading the live document state. It is an experiment in computer-use agents where a planner sets the goal and a fast "System 1" model executes the steps.

Useful for
  • Build a CAD part in FreeCAD from a feature list by running the model over a local socket
  • Test the agent's recovery from random mistaken actions while building a part
  • Train or fine-tune the model on synthetic modeling sessions in headless FreeCAD

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

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

Star growth looks organic. Data as of October 5, 2026, 07:07 UTC.

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

Stars per day

01530September 20, 2026October 5, 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 2026-10-05 (UTC), 00:13–06:24: 76 → 79 stars (+3). This is the change over that interval.
  • Estimated end-of-day forecast: about +12 stars, using observed gains and the previous day.
  • The repository is 9 days old and already has 79 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.

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

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Numbers

Total stars
79
Today
+3 stars measured 2026-10-05, 00:13–06:24 UTC, ≈ 12 by evening
Forks
8
Issues and pull requests
0
Watchers
1
Language
Python
License
MIT
Created
September 26, 2026
Last push
October 5, 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.

Spotted in
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GitNova: 1.7 
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