Agent Tooling for Jev — page 12

Continuous verbatim context pruning for OpenCode, powered by TypeSafe Jev. Port of fast-jev-compaction adapted to OpenCode's context hook.

Pick the right agent skill for every prompt with TypeSafe's Jev. Hooks for Claude Code, Codex, Gemini CLI, Droid, OpenCode, Amp.

Claude Code Stop hook that checks an AI assistant's claims against what it actually read this session, using TypeSafe's Jev as the judge

Agent skill that spots bounded-judgment steps, tries a typed decision model (TypeSafe's Jev) first, and documents every attempt

Select Git changes for staging with a plain-language description.

Jev decision sidekick for Hermes Agent — TypeSafe and Cloudflare, explicit tools and official skill

Sub-second Git pre-commit & pre-push semantic reflex gate powered by TypeSafe AI Jev

A UiPath coded agent with a custom PII detection guardrail on the LLM boundary, built on the TypeSafe Jev model as a LangChain awrap_model_call middleware.

Interactive playground for testing Jev model-routing decisions against OpenRouter models

Zero-hallucination open-source repo and crate scout powered by TypeSafe AI Jev System One scoring

A tiny virtual pet cared for by TypeSafe Jev through OpenRouter

Claude Code plugin that scores how well you prompt a coding agent, and shows whether your habits are improving. Runs on TypeSafe's Jev model. Zero added latency.

Filter command output for coding agents using a task description.

Jev as a message gate to determine if agents should respond

Fast JEV compaction extension for pi

Reversible context pruning for Pi, powered by TypeSafe Jev. Keep useful context without deleting session history.

Semantic linter for AI coding agents and CI code review. Detects silent failures, weakened tests, scope creep, unnecessary abstractions, and other semantic code smells.

Tell Claude Code which installed skill a session needs, using Jev (TypeSafe AI) for the decision and skills.sh for discovery.

Worked examples for TypeSafe's Jev System One decision model, runnable today through OpenRouter

MCP server: screen PubMed titles/abstracts against a query or clinical question with TypeSafe Jev

Home Assistant custom component: Conversation agent with Jev fast-path + Grok fallback

Per-prompt capability router for coding agents: resolves installed skills, MCP servers, agents and commands against your prompt via TypeSafe Jev, and measures whether the injection actually helps.

System-architecture skill for TypeSafe AI Jev/System One — find fuzzy semantic judgment and turn it into small Choice/Score/Noul primitives.

Build versioned judgment functions on TypeSafe's Jev once, then call the same published version from your backend over HTTP and from coding agents over MCP. The vendor key stays on your machine.