Agent tooling — page 2

System One MCP connector to evaluate anything fast and cheap. Give your AI agent direct access to models like: Jev, CLM and Laya

Semantic code linting with Jev

Per-turn model & reasoning routing for Codex, driven by Jev (TypeSafe System One): picks the model, thinking depth and speed mode for every turn.

A lightweight Jev-powered router for models, tools, and subagents

An easy way to use jev with your coding agent for tool calling reasoning

Self-hosted, versioned skills library for AI agents. MCP, scoped clients, and optional Jev recommendations.

Email inbox API for AI agents. Give every agent its own real email address, receive mail as structured webhooks, and reply in-thread over REST. A complete multi-tenant mail server in Rust: inbound and outbound, DKIM/SPF/DMARC/ARC, MTA-STS, DANE, three-tier anti-spam.

Local-first MCP plugin for continuous software-quality review by AI coding agents, powered by Jev.

Fastest measured Qwen3.8-27B config for DGX Spark (GB10): SGLang + NVFP4 + DFlash2, 72 tok/s greedy median, 1M context, deterministic boots. Flash-Next 176B on one box. One command, everything pinned, and a local cockpit to drive it.

Open-source Claude Cowork / Codex / WorkBuddy alternative — a local-first AI office agent that turns one request into real PPTX, DOCX, XLSX and HTML files. Runs DeepSeek, Qwen, Doubao, Claude or Ollama (BYOK), MCP, and can drive Claude Code / Codex CLI. 开源 AI 办公助理，豆包办公 / 千问办公替代。

The System One harness for System One models. Run Jev and other System One models locally or directly on HarnessRouter.ai.

Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it

Guardrails for Pi that steer instead of interrupt: enforces your project rules on every write, holds only hard-to-undo actions (3 per 1,000 calls, measured on real sessions), catches unverified "done" claims and stuck loops, and trims tool output. Built on pi-typesafe.

TypeSafe Jev as a decision layer for the Pi coding agent: a measured tool-call gate plus jev_ask for typed, calibrated answers

API server runtime for common AI use cases — supports multiple models and providers. Run locally with Ollama or LM Studio, or in the cloud via OpenRouter, OpenAI, Anthropic, or Google.

The pipe layer of an AI nervous system — one interface connecting provider neurons to your application, across three inference types: generate, stream, and a calibrated decide (via TypeSafe Jev). MCP-native, voice (TTS/STT/realtime), RAG, memory, file processors. Powers Tara, Yama and Clairvoyance at Juspay.

A skill for writing and improving programs that call Jev, TypeSafe's System One model

Coverage, security and code quality for coding agents

RAGElo is a set of tools that helps you selecting the best RAG-based LLM agents by using an Elo ranker

《Jev 工程学：为 coding agent 而作》完整中文翻译 — 保留原结构与 7 张插图

The ai agent workflow tool that scales from small, simple projects to large, complex codebases.

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.

This is the repository for the LatteReview python package. LatteReview is a low-code Python package designed to automate systematic literature review processes through AI-powered agents.

A small extension that demos the combination of Jev x WebMCP