Jev ecosystem projects — page 52

An autonomous game-playing decision engine for Tibia (Open Tibia / OTServ) powered by TypeSafe AI's Jev System One model.

A plugin that lets you build reusable **solution signatures** for any classification or scoring problem, then run CSV, Excel, or text file datasets through the [TypeSafe Jev](https://docs.typesafe.ai) API and export structured results to Excel.

🧠 MCP server for TypeSafe's Jev model

Local-first task router for microservices, polyrepos, monorepos, and coding agents.

Token-efficient Windows automation and durable research MCP server for Codex and Claude Code, powered by TypeSafe Jev.

Can Jev replace an LLM reranker? A benchmark of TypeSafe's Jev vs Claude Haiku and BGE on natural-language search over all 6,245 YC companies, with a live search demo.

A collection and survey of Jev

Curated directory of real-world tools, interactive video teardowns, empirical benchmarks, and fast System One decision models.

Open models, libraries, tools, and applications for Jev and System One decisions.

Verified, screenshot-rich awesome list of projects built on Jev — TypeSafe AI's System One model for typed decisions

awesome-awesome-jev

A curated list of Jev guides, official documentation, and community projects for AI practitioners, product managers, and builders.

Awesome Jev：Jev 开源生态导航

/whisper: a Claude Code skill that optimizes your prompt before it runs and gets better every time you correct it.

TypeSafe Jev

⚡ DataJev LLM → Analyze Jev → Continue / Switch / Verify / Stop System-1 control for System-2 data agents

One client for every decision model: Choice, Score and Noul over Jev, OpenRouter, laya, MLX, CrossEncoders and LLM fallback

Compile documents, code, SOPs, and resolved cases into evidence-backed JEV judgments, legal actions, guarded adapters, and measured decision systems.

Two System One models fight a real Doom deathmatch. Laya (322M, open weights, local MLX) vs Jev (TypeSafe hosted). Same state, same typed questions, same shield — only the model differs.

Use the Jev (System One) decision-model paradigm with any OpenAI-compatible LLM — no TypeSafe key required. A jev_decide tool for DeepSeek Harness (dsh).

Jev (TypeSafe System One) decision tools + live verification benchmark for DeepSeek Harness: jev_decision (choice/score/noul) and jev_verify, honest by design.

A nutrition label for AI-written content: audits what AI agents say about data, blocks what doesn't hold up, and shows readers why. Powered by Jev.

Fast Memory is an agent memory system built with Jev + LLM.