SDKs & framework integration — page 13

Jev decision visualisation and debugging panel for coding agents. MCP server + local web timeline, confidence alerts and trace export.

lgtm-dsh is a DSH plugin that automatically installs lgtm, reuses the Jev already configured in DSH, and lets the agent automatically call lgtm during the testing phase.

Route Oh My Pi prompts between simple and advanced models with TypeSafe AI's Jev classifier.

An autonomous risk-monitoring MCP server. Define a risk profile — a topic, the geographic locations to watch, and the policy triggers that matter — and the server runs an agentic sweep: live web search scoped by a judgment model (Jev), source scoring, and a Markdown briefing you can read from any MCP client.

Vendor-neutral SDK for typed decision-making (yes/no, choice, score) — hosted and local

Tool-agnostic System One decision orchestration skill for AI coding agents, with optional TypeSafe, Jev MCP and CodeGraph integrations.

A security-focused, idiomatic Go client for TypeSafe’s System One API. Community-maintained; not an official TypeSafe SDK.

Research and scaffolding for a TypeSafe Jev MCP server

A type-safe Go SDK for building reliable integrations with strongly typed APIs. Designed to provide an idiomatic developer experience, compile-time safety, and convenient abstractions while reducing boilerplate and preventing common runtime errors.

Turn messy state into typed, auditable classifications, scores, and policy decisions over REST and MCP.

Jev-compatible adapter for vLLM: use any vLLM-served LLM for Choice, Score, and Noul decisions via logprobs—without modifying the model or vLLM service.

Cursor plugin that routes subagents with TypeSafe Jev and exposes Choice, Score, and Noul as MCP tools.

Codex plugin and MCP server for TypeSafe Jev decisions and recoverable context reduction, with optional local Laya-MLX and token/time measurement tools.

Framework for agents on TypeSafe Jev: turns candidates into valid Jev questions and answers into validated choices; loop, cross-checks, fallbacks and traces built in. No network code.

Give Jev eyes — honest, local image perception for TypeSafe's text-only System One model. OCR + spatial layout → Jev state. CLI, MCP server, agent skill.

Dependency-free Go client for TypeSafe AI's System One API and the Jev model

MCP relay that adds use_jev to every server: Jev picks the tool calls, the calling model writes the values Jev cannot choose, the relay executes. Built on jev-dev-kit.

MCP local que expone Jev (TypeSafe) como herramienta para Claude Code, Codex, Hermes y cualquier agente: ask_jev y list_jev_models, sin dependencias

A Rust MCP server for TypeSafe AI Jev structured decisions

Hermes plugin: drive and read a visible terminal-browser tab with Jev typed decisions. No screenshots, fractions of a cent per step.

Java SDK for the TypeSafe AI API. Typed questions, typed answers, Java 21.

Typed AI decisions for Codex, Claude and any MCP client, powered by TypeSafe Jev. Classify, score and evaluate with one generic tool.

Open-weight System One model (Jev-compatible): calibrated noul / choice / score decisions in one forward pass, no text generation. Works with TypeSafe's typesafe-sdk unchanged.

Native System One inference gateway for HTTP and MCP.