Agent Tooling for Jev — page 6

MCP server exposing TypeSafe Jev as typed, calibrated judgment tools: classify, score, check, batched ask. Ships as a Claude Code plugin.

Turn your AGENTS.md preferences into a fast, Jev-powered AI linter.

Don't trust an Agent. Test it. Open-source lab for agent credit — exams → evidence → explainable, recomputable scores. Built for the day agents hire and pay each other. A2A-native.

Jev Auto Router (Jev Router): experimental per-call GPT model routing for Codex via TypeSafe Jev and a local Responses proxy, with independent task verification.

Per-turn model routing for the Pi coding agent: a small judge picks the cheap or the strong tier for each message, with multi-model failover, task-level orchestration, and an optional decision-model judge (Jev) that answers with a calibrated probability instead of prose.

DeepSeek Harness plugin for TypeSafe Jev: typed decisions, configurable guardrails, and Web UI result cards.

Jev-driven native GPUI testing: Rust accessibility bridge, bounded goal runners, and one-call pi integration.

Confidence-gated incident routing with TypeSafe Jev

⚡ Catch spec drift on every commit: check your code against your Markdown specs with TypeSafe AI's Jev model.

Jev-powered MCP tool routing for Codex

情緒測謊器：嘴上說「好」，心裡真的好嗎？用 TypeSafe Jev（System One 模型）透過 OpenRouter 即時判斷，並與一般 LLM 對照

Draw on a tldraw canvas with your voice and a pointing finger. Jev (TypeSafe System One) decides action, target and place in ~350 ms per spoken word.

Local Jev / System One–compatible gateway — not TypeSafe’s Jev. Fast, privacy-first, offline.

A small, fast prose linter: ruff-style rule codes for writing, backed by TypeSafe's Jev model

Hybrid coding harness: System 2 writes, System 1 (Jev) runs reflexes.

Orchestrate your own AI agents and build extensions for them — summon an agent by name, watch it think, ship its work. Runs on nostr, so no company owns your agents, your data, or your identity.

Make the model you already use work more like a frontier model with better planning, persistent context, skills, hooks, failure handling, and verification.. Orchestrated Multi-Specialist Agentic Lifecycle Harness

Jev agent authorization for MCP tool calls: Kinde identity and permissions plus Jev's typed, calibrated decisions, checked server-side before every call runs

A pre-compaction advisor for DeepSeek Harness. Runs before the standard `compaction-basic` backend, using TypeSafe JEV to safely prune low-value tool results from model context. Original session events stay in the append-only log; only the model-visible view is replaced with compact markers or archive pointers to reduce context bloat.

Give your AI JEV wings. A skill and plugin to build with TypeSafe Jev, upgrade LLM-only workflows and measure the result.

Jev judgment, not generation: prune long tool output, screen fetched pages for injected instructions, and gate completion claims inside DeepSeek Harness.

Grok Build with TypeSafe Jev routing tool selection once per turn: 22 to 40% cheaper on the same tasks

Semantic end-to-end agent testing for iOS, Android, and web.