#jev

Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abstention, and local feedback. Requires a TypeSafe API key.

Auto mode for every coding agent, built on Jev: risk-scores every tool call with session context (deny / ask / allow), flags prompt injection in results, checks skills and plugins. Claude Code, Codex, Copilot, Gemini, Cursor, pi, OpenCode, ACP.

Claude Code / Codex / pi plugin that hands agent steps needing no text output to Jev (TypeSafe's judgment model) — measured p50 ~230 ms and ~$0.02 per 1,000 judgments, with typed escalation back to the LLM

.feels() on anything — the AI if statement as a real, typed method. Jev + BAML.

SAP Commerce extension using TypeSafe's Jev to moderate product reviews and suggest product categories and classification attribute values: dry runs on your own data first, an audit record per decision. Plus a Claude Code skill.

AX-first computer use for AI agents on macOS with optional Jev (TypeSafe System One) semantic guards: calibrated target/input judgments before an irreversible action, decisions kept in code. Accessibility-tree targeting, window-scoped input, clipboard-safe paste, read-back verification. Ships a pip CLI, a pi package and a DeepSeek Harness plugin.

Let Claude code, chatgpt codex or control your own Chrome. Chrome extension + MCP server: Jev, TypeSafe's decision model, picks each click in ~0.5 s for a fraction of a cent. MIT, bring your own OpenRouter key.

Jev-first portable Agent Skill and optional MCP bridge for Claude Code, Codex, Cursor and compatible agents.

Research design for a Jev-native agent system:enable more options than jev provided with virtulization and paging, tool integration, external helper logits Top-k proposals with Jev-controlled fallback ,decision-aware hierarchical memory, and dependency-aware replanning.

Practical agent skills and examples for building with Jev. API setup, routing, ranking, and evidence checks.

AI life-and-civilization simulation: TypeSafe Jev makes every decision (typed, probabilistic, auditable); LLMs plan — OpenAI-compatible APIs, local models (Ollama, LM Studio), Claude Code, Codex.

Automated AI News ranking and summary by Jev/LLM powered by AnyRouter.

Home Assistant conversation integration powered by the Jev / TypeSafe AI API for fast, structured intent routing and device control

When Jev meets LLM — Transparent proxy that makes AI coding agents 3× faster and 80% cheaper. Cut response times from 2.4s to 890ms with Line J architecture.

TypeSafe Jev-powered intent gate for OpenCode: confirm intent before the agent dives into underspecified requests.

Claude reads the part of a large file that answers your question, not the whole file. A PreToolUse hook. Measured: -36% cost on the reads it fires on, no answer lost.

Native DeepSeek Harness (DSH) plugin integrating TypeSafe Jev as a System One decision layer for agent selection, supervision, corrections, and approvals.

Inspectable Jev model and effort routing for Codex CLI and Claude Code, with local usage reports.

Experimental opt-in Jev skills and config for Claude Code — the companion to jev-codex-tools.

Risk-aware model routing for Claude Code, powered by TypeSafe's Jev

Turn your Windows gaming PC into an always-on local LLM server that gets out of the way when you play. Runs llama.cpp with a model sized to your GPU, then pauses it automatically when a game launches so the game gets all your VRAM. Tray app, OpenAI-compatible API, auto-updates.

Claude Haiku 5.5 as a decision model, benchmarked head-to-head against Jev and the OpenAI Decisions API

Agent memory that decides what to hydrate — local topology recall + TypeSafe Jev gates (not another dump-everything store).

Reward-hack radar for coding agents: structural denies + TypeSafe Jev System One sidecar for Claude Code & Cursor hooks

Sys1 gives coding agents tools to review code, check completion claims, and get structured answers from Jev or a local model.

Open-source platform for creating, distributing and running sovereign EU-compliant LLMs. Verticalize any model for your domain, language and brand. AI Act ready.

jevmem saves the decisions, rules and failed approaches from your Claude Code chats to JEVMEM.md in your repo, and brings the relevant ones back next session.

AI-assisted email, calendar, tasks and documents: TypeSafe Jev gives typed, probability-backed judgments; LLMs draft (OpenAI-compatible APIs, local models via Ollama/LM Studio, Claude Code, Codex); you approve every action.

Claude Code skill: hand bulk judgment calls to Jev. 86% fewer Claude tokens on a 12-task benchmark, up to 20x faster. One-line npx install.

Style and quality linter for Norwegian and English text - MCP server for agents, with TypeSafe's Jev as the judgment layer. Reports findings, never authorship verdicts.