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Portable System-1 decision layer for agent harnesses with host-owned routing, receipts, replay, and fail-open integrations.

React components that resolve which component to render, how to order a list, and whether to show an affordance — from calibrated judgments returned by TypeSafe's Jev. No repository-level license file was found during review.

High-throughput, robust native DuckDB extension for batched and streaming TypeSafe/Jev classification, scoring, and semantic predicates from SQL.

Natural-language row filtering for MySQL, powered by TypeSafe Jev.

A lightweight, native Swift 6 bridge integrating TypeSafe AI's Jev System One decision model into Apple's Foundation Models framework.

Semantic AI for pandas and Polars: classify text, analyze sentiment, and score DataFrame rows with natural-language questions and full probabilities using TypeSafe Jev.

Semantic decisions as ordinary Ruby — feels?, decide, score, Rails validations and pattern matching powered by Jev

DuckDB extension: typed Jev answers as real SQL types

SillyTavern extension where Jev scores replies against configured narration rules before adding guidance.

Conversational-avatar framework with a Jev gate that judges whether a speaker has finished a turn.

Generative UI framework with an experimental evaluator that lets Jev choose among application-supplied composition criteria.

Coding agent with a TypeSafe judgment provider that uses Jev for typed checks, routing, and workflow decisions.

Local Jev-like typed-decision runtime using ONNX and quantized models for offline CPU inference.

Local Jev-compatible evaluation server: POST /v1/systemone with typed noul/choice/score, open weights, no waitlist No repository-level license file was found during review.

Local Jev-like System One decision layer that returns typed choices and calibrated confidence without a hosted API.

DiffusionGemma NVFP4 structured decisions on a DGX Spark: container recipe No repository-level license file was found during review.

The open, local take on Jev: typed decisions from an LLM, without generating a single token

Type-safe Java 21 client for the TypeSafe AI Jev (System One) decision API

Grok Bot integration where Jev applies usage gates and routes requests before the generative model runs.

Hermes plugin and skill suite using Jev for model routing, skill selection, memory filtering, compaction, and GUI actions.

Self-hosted Jev-compatible System One server backed by GLiNER-family models, with batching and typed question support.

Claude Code plugin where Jev decides which project rules apply to each prompt and edited file.

Semantic grep CLI where Jev judges which files and exact line ranges match a natural-language code query.

Adapter that turns local language models into Jev-style Choice, Score, and Noul decision engines with typed probabilities.

Local Jev-compatible System One API that converts typed questions into DiffusionGemma classification prompts and probabilities.

Open-model Jev-style server that reads next-token logits to return typed choices, rubric scores, and truth judgments.

Pi extension with a batched Jev evaluation tool, terminal playground, and typed API for other extensions.

Text linter that uses Jev Score judgments to evaluate strings embedded in source code against configurable writing rules.

CLI that uses Jev task classification to choose and launch Cursor, Claude Code, Codex, or OpenCode with an appropriate model and effort level.

Claude Code and Codex hooks that ask Jev which parts of long shell output remain relevant before sending them into model context.

ACP and MCP adapter that exposes Jev typed decisions and computer-use actions to Codex, Claude, OpenCode, and other agents.

Jev-compatible API server built on open models and SGLang, with prefill-only inference and typed decision endpoints.

Trainable family of small Qwen-based Jev-like decision models with typed primitives, datasets, evaluation tools, and local inference.

Specification-driven semantic verification engine that uses Jev to check AI-generated code and specs against explicit requirements.

MCP router for Codex that uses Jev to select an external tool on demand instead of exposing the agent to every tool schema.

Pi model router that uses Jev task classification and a measured Pareto frontier over quality, cost, and latency to select an OpenRouter model.

Semantic code search CLI and MCP server: Jev scores authorized repository excerpts and returns exact file paths and line numbers to coding agents.

Decision plugin for DeepSeek Harness and iPolloWork that lets OpenCode, Codex, and other agents use Jev to select tools, skills, and task owners and evaluate outputs.

Rails-native Jev wrapper that turns typed, calibrated decisions into application control flow.

Open local System One implementation for NVIDIA DGX Spark, with a Qwen3-based model, Jev-compatible API, architecture notes, and evaluation tooling.