Jev directory
CommunityJev Repos & SDKs
AM5hubh/whichLanguage
Community GitHub repository that builds on TypeSafe AI's Jev model for decision-making tasks. The listing shows no stars, no license, and no setup instructions, so it reads as a small experiment rather than a supported library.
- Stars
- 0
- Reading time
- 2 min
- Published by
- Community
- Added
- Nov 2026
Highlights
- Repository description states it is built using the TypeSafe AI Jev model.
- The description says Jev is used specifically for decision-making tasks.
- The listing shows 0 stars and no recorded community adoption.
- No license, release, or installation instructions appear in the metadata.
Questions about this entry
Short answers drawn from the linked project or page.
It is a GitHub repository whose description says it is built using the TypeSafe AI Jev model, used specifically for decision-making tasks. The listing provides no further documentation, so the exact scope of the project is not described.
No language is stated in the available metadata, so the runtime, dependencies, and toolchain cannot be confirmed from this listing alone.
The repository shows 0 stars, so there is no visible community adoption, forks, or third-party usage recorded in the listing.
No installation steps, package manifest, or usage example is included in the available metadata, so running it would require reading the repository source directly.
No license is stated in the available metadata. Without a stated license, the terms for reuse, modification, and redistribution are unclear.
The description says the project uses Jev specifically for decision-making tasks, meaning typed questions answered with calibrated probabilities rather than free-form text generation.
It is published under the GitHub account AM5hubh, with no organization, maintainer list, or release history given. With no documentation or tests in the listing, it is not a good base for production work.
More Jev resources like this
Python pipeline that extracts YouTube video and Shorts metadata with yt-dlp and classifies topics, content formats, and educational value using TypeSafe AI's Jev decision model. Packaged and managed with Astral's uv; requires a TYPESAFE_API_KEY.
Jev Repos & SDKs#github#python#classification
A System One layout optimizer for decision-model workloads: it reorders rows and fields so a prefix-caching backend reuses input computation, then returns per-record decisions in original order. Its bundled backend serves AutoTrust JEV-9B through vLLM.
Jev Repos & SDKs#community#github#python
Community
0814wdwd/solo_jevPython
0814wdwd/solo_jevPythonTurn markdown into a knowledge graph with an ontology you write and a cutoff you own. A local decision model answers closed yes-or-no questions one at a time, and anything it is unsure about waits for a person instead of entering the graph.
Jev Repos & SDKs#community#github#rust
Community
raphaelmansuy/edgextractTypeScript
raphaelmansuy/edgextractTypeScriptClinical variable extraction from free-text notes that fits on one consumer GPU inside your hospital: answers thousands of notes an hour with typed noul, choice and score outputs, a confidence per answer, and no per-use fees.
Jev Repos & SDKs#community#github#python
Community
JunMa11/MedJevPython
JunMa11/MedJevPythonA Laravel-ready PHP SDK for Laya, a self-hosted multilingual decision engine described as a Jev AI alternative: classify text in 100+ languages and get typed enums, ints and bools back without paying per-token fees.
Jev Repos & SDKs#community#github#php
Community
marcreichel/laya-phpPHP
marcreichel/laya-phpPHPOpen infrastructure from the SimpleJev project for training, evaluating and deploying System 1 decision models across language and multimodal backbones: one API takes a state, question and candidate options and returns a choice with probabilities.
Jev Repos & SDKs#community#github#python
Community
SimpleJev/JevAnyPython
SimpleJev/JevAnyPythonFrom the Jev guides
Original write-ups on what this entry is for.
From the Jev AI model community
Posts from builders shipping with Jev right now.