Applications for Jev — page 28
1810 repositories with documented relationships and source evidence.
Experiment mit Jev, dem "System1"-Entscheidungsmodell von Typesafe: zeigen, wie Jev Texte einordnet
Semantic values for deterministic TypeScript: is, score and choose as ordinary values, backed by a decision model.
OpenClaw, powered by Jev. Jev-powered memory decisions with your existing LLM as fallback. Built with Jevify.
Jev (TypeSafe System One) plays Doom
Goal-directed React interfaces powered by TypeSafe Jev, with a static showcase of recorded examples.
Human-in-the-loop resume and job-description matching powered by TypeSafe Jev
Decision model on a Qwen3-0.6B backbone with LoRA: fused decision endpoint (/v1/systemone) + OpenAI-compatible chat completions with thinking, SSE streaming and vLLM-style sampling, running on Apple Silicon MPS.
Rock Paper Scissors against TypeSafe Jev in a terminal UI
Independent practical guide: TypeSafe Jev decisions in Microsoft Fabric, Power Automate, Teams and related workflows.
Pi extension that routes extra tools through Jev so the model keeps built-ins plus need until it asks
Kev decision models, with MiniCPM5 base support (fork of jaredpalmer/kev)
Independent Rust runtime for Kev decision models (pointer heads on Qwen bases): MLX on Apple Silicon and Candle CPU, parity-gated against frozen upstream goldens
Go samples for trying TypeSafe's Jev (System One) API with the standard library only
Lathe — Non-Generative A2UI v0.9 Compiler & Runtime (shadcn/ui × AG-UI × TypeSafe System One)
A Jev-compatible REST API wrapping the Laya System 1 decision model
Self-contained, ultra-fast System 1 decision engine with WebGPU/WASM acceleration, 100% wire-compatible with TypeSafe Jev (/v1/systemone).
LinkedIn feed AI-slop detector using TypeSafe Jev API
A source-grounded method for producing newsletters and long-form writing with staged AI work and TypeSafe JEV quality gates
Expense tracking for Gaza households, built around bank statement exports and their note field. Uses Jev (TypeSafe System One) for typed, confidence-aware transaction categorisation.