# volotat/mini-AGI

<https://repo.masters-masters.com/en/repos/volotat/mini-AGI>

[Home](https://repo.masters-masters.com/en) › [volotat](https://repo.masters-masters.com/en/owners/volotat) › [mini-AGI](https://repo.masters-masters.com/en/repos/volotat/mini-AGI)

volotat/mini-AGI has 1,300 stars on GitHub. Its RepoMasters card: Beta tier. Continual learning model trained from scratch on 8GB VRAM laptop with batch-1…

| Field | Value |
| --- | --- |
| Owner | [volotat](https://repo.masters-masters.com/en/owners/volotat) |
| Stars | 1,300 |
| Forks | 204 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [volotat/mini-AGI](https://github.com/volotat/mini-AGI) |

## Repository

Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.
