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
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Updated
Sep 25, 2026 - Python
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
200+ plug-and-play Jev recipes: small, calibrated AI decisions that route, grade, gate, compare, and label text for agents, RAG, support, code review, and music. Import from JavaScript or TypeScript, or call the CLI with JSON from any language.
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.
⚡ 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
The same decisions, on CPU. System One model that can run on your Personal Computer.
Blazing-Fast Token-Efficient Intrusion Detection System (IDS) based on TypeSafe's Jev.
Code and data for evaluating Jev, a System One model, on scientific decisions and how its choices affect downstream results.
decision-first data cleaning system powered by Jev
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.
Vets an LLM agent's tool calls through TypeSafe AI's Jev before they run — allow, block, or hold, failing safe on uncertainty.
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.
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.
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.
Near-free GitHub issue triage powered by TypeSafe AI's Jev - typed, confidence-gated labels that escalate only the uncertain cases.
system one model serving engine
First survey and analysis of Jev's application ecosystem. 首个 Jev 应用生态综述与分析论文
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