Jev Ollama

A fork of Ollama that adds POST /v1/systemone: the endpoint is forwarded to a custom llama-server from nace-ai/llama.cpp on the edlm branch, which serves Drex DLM. The fork is MIT licensed and Go-based like upstream Ollama.

A Python decision engine that runs Choice, Noul and Score questions on Gemini's free tier, Groq, OpenAI or a local Ollama server with local response validation. The README calls it a drop-in alternative to Jev and ships agent skill and plugin installs.

A local decision engine for AI agents and software developers, built on the System One architecture in TypeSafe's Jev style and running fully offline through Ollama 0.35+. Ships a CLI, an MCP server and a Python library for error triage, diff review, shell guardrails and routing.

A community OpenClaw plugin that connects tev1:0.8b and tev1:4b, running locally in Ollama, to OpenClaw's Decision model role, so classify, choose and score questions resolve on a local /v1/systemone endpoint with no cloud key.

A one-file Python client for the Ollama System One decision endpoint that adds image judging, fallback of uncertain answers to a stronger model and pre-flight size checks on top of what the official ollama package offers, with requests as its only dependency.

An open-source, vendor-neutral web UI sandbox for /v1/systemone structured decision models such as TypeSafe Jev and Ollama clef: visualize Choice, Score and Noul probabilities, compare endpoints A/B, and export SDK calls, with a built-in mock that needs no network.

A .NET 10 client and runnable examples for Ollama's System One decision API, covering all three structured outputs — choice, yes/no probability and score — with a support-ticket sample that classifies the responsible team, refund intent and urgency.

An explainable intent router that cascades regex, TF-IDF with CatBoost, System One decision models (Laya, Jev, CLM) and a generative LLM fallback, answering from the cheapest engine able to decide and leaving a replayable decision record. Runs fully local.

accept99 explains how Jev differs from chat models and how to run Jev-like decision models for free: Ollama serves nimble 9B and tev1 4B and 0.8B over /v1/systemone, while the open-source Laya project offers pip-installable weights and an MLX build for Macs.

An Ollama-style local runner for System One decision models from Hugging Face: pull, serve and query them behind the same /v1/systemone API as TypeSafe's Jev, with a terminal model manager and a browser playground.

A lightweight Python engine that mimics Jev's structured decisions on local LLMs via Ollama, vLLM or llama.cpp: choice, score and noul questions come back as JSON with probabilities and confidence, plus an OpenAI-compatible gateway.

Cloudflare's decision models packaged for Ollama: pull clef for the 27B model or clef-flash for the 9B one and run classification, labelling, and routing locally with the same typed-question shape.