GitHub · by David-Lolly
Make an existing SGLang or vLLM deployment answer as a decision service.
Turn an existing SGLang or vLLM deployment into a Jev-compatible decision service. No training, no model changes: the serving layer supplies the typed answers.
Repository created Sep 21, 2026. Counts read from the GitHub API on Oct 15, 2026, and they move daily — quote them with the date.
Cua
@trycua
1/ Introducing CUA-S1: a family of System One Models, small, specialized, and built for computer use. Today we're open-sourcing CUA-S1-FORMS, the first in the family: github.com/trycua/cua
Vincent Wang-Maścianica
@vinnylarouge
I reverse-engineered a jev-like architecture given its type. You can find the repo here to train your own jevlikes: github.com/vinnylarouge/j…
GitHubOpen source
Eric Zhang
@ekzhang1
Inspired by @typesafeai , here is a Jev-compatible public API to play with It runs a comparable open model (Qwen3.6-35B-A3B), and just uses SGLang radix cache to preserve the prefill reuse / really fast parallel systemone generation - 64 tasks in <1s. github.com/ekzhang/openje…
