OpenCode v2 plugin that uses Jev (TypeSafe AI) to dynamically select relevant skills and tools per turn, reducing context window usage.
Jev ecosystem projects — page 56
3926 repositories with documented relationships and source evidence.
A lightweight collection of developer utilities and scripts designed to streamline Jev development process.
A proof of concept implementation of TypeSafe's Jev API, backed by local Laya checkpoints.
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.
Ship the result, not the conversation. 35ms discriminative decision engine for AI agent deliverables (inspired by TypeSafe Jev & Occam's razor).
Route Oh My Pi prompts between simple and advanced models with TypeSafe AI's Jev classifier.
A quiet spoiler blocker for YouTube comments. One typed Jev (TypeSafe System One) Noul decision per comment; covered while checked, still covered if the check fails.
JEV x APM progressive-context PoC: TypeSafe System One progressively materializes/dematerializes APM rules and skills
Polymarket resolution-lag scanner built on TypeSafe's Jev model. Finds markets where a published fact already satisfies the written resolution rules but the price has not caught up. Alert-only.
Persistent governance for AI agents — turn Jev judgments into replayable relation state with R2R.
Escribe un tema y mira cómo Jev (TypeSafe) juzga 100 videos de YouTube en segundos. Corre en tu propia cuenta de Cloudflare.
Proof of concept: auto-tagging and triage of Readwise Reader articles using TypeSafe AI's Jev
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.
PT-BR-first, local decision engine for typed decisions at volume.
Find the LLM calls you should move to JEV — scan logs & code for decision-shaped calls, price the migration, calibrate decision models, generate the migration PR. Zero deps, fully local.
Route an agent's intent to the one installed skill that fits, using TypeSafe's Jev
Vendor-neutral SDK for typed decision-making (yes/no, choice, score) — hosted and local
Pick a set, state a criterion, let Jev sort it into tiers.
A tinystruct-based TypeSafe SDK with JEV model.
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.