autoresearch One day, frontier AI research used to be done by meat computers in between eating, sleeping, having other fun, and synchronizing once in a while using sound wave interconnect in the ritual of "group meeting". That era is long gone. Research is now entirely the domain of autonomous swarms of AI agents running across compute cluster megastructures in the skies. The agents claim that we are now in the 10,205th generation of the code base, in any case no one could tell if that's right or wrong as the "code" is now a self-modifying binary that has grown beyond human comprehension.
| Stars | 95,423 |
| Forks | 13,407 |
| Language | Python |
| Category | AI 工具 |
| Quality Score | 60.6965031944717/100 |
| Open Issues | 194 |
| Last Updated | 2026-03-26 |
| Created | 2026-03-06 |
| Platforms | python |
| Est. Tokens | ~15k |
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autoresearch is AI agents running research on single-GPU nanochat training automatically. It is categorized as a AI 工具 with 95.4k GitHub stars.
autoresearch is primarily written in Python.
You can find installation instructions and usage details in the autoresearch GitHub repository at github.com/karpathy/autoresearch. The project has 95.4k stars and 13407 forks, indicating an active community.