system-one-model

Open-source alternative to TypeSafe's Jev: a System One style model layer that gives typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with honest benchmarks

Local, open-source Jev alternative: browser agent decisions with Laya (System One model) on your own machine. No cloud, no API key. Playwright/CDP, MCP-friendly.

The same decisions, on CPU. System One model that can run on your Personal Computer.

⚡ Foq — the FREE, local, open-source alternative to Jev. Typed System 1 decisions in ~25 ms — no waitlist, no cloud, no per-token cost. foq.fr

Blazing-Fast Token-Efficient Intrusion Detection System (IDS) based on TypeSafe's Jev.

decision-first data cleaning system powered by Jev

Code and data for evaluating Jev, a System One model, on scientific decisions and how its choices affect downstream results.

A coding agent CLI where Jev (TypeSafe System One) or Laya decide what to do next and a configurable LLM does the work.

An evidence-graded deep dive into Jev (TypeSafe AI's System One model): interface, verification, reproduction comparison, and field guide. Bilingual (EN/中文), with runnable probe tools.

First survey and analysis of Jev's application ecosystem. 首个 Jev 应用生态综述与分析论文

Hands-on research lab for TypeSafe's Jev (System One model): reproducible benchmarks of Noul/Choice/Score primitives, confidence gating, fan-out latency, agent control — plus a living audit of the Jev ecosystem.

Text-to-SQL agent that routes questions with a System One model before an LLM writes the SQL

an Information-Geometric Analysis Toolkit for any System-one (Jev, Jevlike) agent systems

A crawler-maintained directory of projects built on Jev, TypeSafe AI's System One model. Daily GitHub + npm sweep, human-merged.

Near-free GitHub issue triage powered by TypeSafe AI's Jev - typed, confidence-gated labels that escalate only the uncertain cases.

Vets an LLM agent's tool calls through TypeSafe AI's Jev before they run — allow, block, or hold, failing safe on uncertainty.

Jev-trading is a desktop application that combines the ultra-fast neural network model Jev (by TypeSafe AI) with an intuitive visual interface. We've created a platform where the power of algorithmic trading is accessible without writing a single line of code, messing with Python scripts, or configuring servers in the terminal.

Any LLM can serve as the SystemOne decision model. And support for LLaDA-MoE/DiffusionGemma.

logits to multiple-choice questions for Qwen3.8-27B