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Plugin

Atta

laszapens341Updated 6d ago

Open on GitHub

Parametric CAD kernel for LLMs: spec-driven geometry, measured facts, three-state verification, Blender-backed delivery

Practical score

80 / 100

Setup

Ready to use

License

MIT

Language

Python

Install

Quick start

Copy the command, or hand the whole task to your harness agent.

git clone https://github.com/laszapens/Atta.git
Install with your agent

Please install the DeepSeek Harness plugin "Atta" for me. - GitHub repository: laszapens/Atta (https://github.com/laszapens/Atta) - Type: a Cordis plugin (installed into a DSH profile) - It should work out of the box with no extra configuration. Read the repo…

From the README

A cleaned excerpt from the project's own documentation.

Atta English 中文 Atta is a parametric CAD kernel built for language models to drive. You describe a part as a rebuildable spec, Atta computes the geometry in deterministic Python, measures it, and only then lets a render or an export exist. An agent never has to guess a shape from a screenshot, and it can prove the result is a closed solid before claiming it is done. Ten tools, 23 recipes, 25 feature ops. Blender is optional. Why it is different Principle What it means in practice --- --- Facts before pixels describe returns bbox, volume, topology, wall thickness, rays and ASCII sections in under 0.3 s. A render is judgement, never evidence. The spec is the model A model id stores how to rebuild , not a mesh blob. The same spec reproduces the same geometry hash. Three-state gate verify returns pass / degraded / fail with a receipt. deliver refuses anything that is not pass (or degraded with an explicit override). Errors are patches Every failure carries a code , a path and a concrete fix — not an apology.…

Open on GitHub

Project details

Repository
laszapens/Atta
by
laszapens
License
MIT
stars
34
Forks
1
Updated
Nov 5, 2026
Created
Nov 3, 2026
Language
Python
Indexed from
topic

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