# RightNow-AI/AutoMegaKernel

<https://repo.masters-masters.com/en/repos/RightNow-AI/AutoMegaKernel>

[Home](https://repo.masters-masters.com/en) › [RightNow-AI](https://repo.masters-masters.com/en/owners/RightNow-AI) › [AutoMegaKernel](https://repo.masters-masters.com/en/repos/RightNow-AI/AutoMegaKernel)

RightNow-AI/AutoMegaKernel has 159 stars on GitHub. Its RepoMasters card: Prototype tier. An agent harness that compiles a model into one provably-correct…

| Field | Value |
| --- | --- |
| Owner | [RightNow-AI](https://repo.masters-masters.com/en/owners/RightNow-AI) |
| Stars | 159 |
| Forks | 16 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Topics | agent-harness, cuda, gpu, gpu-programming, kernel-fusion, llm-inference, machine-learning, megakernel, mlsys |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [RightNow-AI/AutoMegaKernel](https://github.com/RightNow-AI/AutoMegaKernel) |

## Repository

An agent harness that compiles a model into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch-1 LLM decode, paper: https://arxiv.org/abs/2606.09682

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
