FlashKDA

license

MIT(OSI)

source

public

core-gated

ungated

MIT license body confirmed. The repository is public and unarchived and builds the whole product, and the README describes no paid tier, enterprise edition or license-gated build beside it, so source is public and the core ungated.

• https://github.com/MoonshotAI/FlashKDA/blob/master/LICENSE recorded 2026-09-02

  LICENSE body is the verbatim MIT text under a Moonshot AI copyright line.

• https://api.github.com/repos/MoonshotAI/FlashKDA recorded 2026-09-02

  Repo metadata for flashkda's canonical repository - private false, archived false, fork false.

• https://github.com/MoonshotAI/FlashKDA/blob/master/README.md recorded 2026-09-02

  README describes FlashKDA as high-performance Kimi Delta Attention kernels built on CUTLASS, auto-dispatched from flash-linear-attention's chunk_kda, with no paid tier, enterprise edition or license-gated build beside the published source.

1,243 GitHub stars, which lands in the 1K-10K stars band of the stars scale, level 2. FlashKDA has no registry package and installs from source, so no download count exists and the stars scale applies.

• https://api.github.com/repos/MoonshotAI/FlashKDA recorded 2026-09-02

  Repo metadata - stargazers_count = 1,243 - for MoonshotAI/FlashKDA.

Banded on the category feature matrix as a narrow kernel set: one attention variant, built for one model family. Placed two bands below the tensorrt rung, the same level as thunderkittens and hummingbird.

• https://github.com/MoonshotAI/FlashKDA/blob/master/README.md recorded 2026-09-02

  README describes FlashKDA as high-performance Kimi Delta Attention kernels built on CUTLASS, auto-dispatched from flash-linear-attention's chunk_kda, with no paid tier, enterprise edition or license-gated build beside the published source.