Curated directory of real-world tools, interactive video teardowns, empirical benchmarks, and fast System One decision models.
Jev ecosystem projects — page 46
5191 repositories with documented relationships and source evidence.
Compare TypeSafe Jev and LLMs on 60 synthetic candidate-experience reviews: four classification tasks, prompt variants, costs, tokens, and reproducible evidence.
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-judged context compaction for DeepSeek Harness: semantic tool-result pruning + deterministic receipt compaction
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Do what I mean: type what you want in plain words and it runs the right menu item in any Mac app. Powered by Jev (bring your own key).
Jev drives your Ego Lite browser: one typed-choice request per step. Single-file, zero-dependency port of browser-use/jev-ultrafast with multi-model benchmarks and extra guardrails. Unofficial.
tell you everything about jev,TypeSafe AI's System One model for typed decisions.
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A TypeSafe-native (Jev) coding agent built on Recursive LLM Context Decomposition (RLCD), with a native macOS client
A multi-account manager and API gateway for TypeSafe / Jev. 一个用于 TypeSafe / Jev 的多账户管理器和 API 网关。交流群：1102910606
弹幕照开，噪音别来。用 JEV 为 B 站评论和弹幕降噪：剧透、反串黑、广告、基本盘一键过滤，想屏蔽什么，再写一句话。Chrome 插件，原页生效，MIT 开源。
Jev-powered model and reasoning-effort router for Codex in DeepSeek Harness
One TypeSafe Jev decision per step over the A11Y tree, executed via ADB. No screenshots and ultra fast!
A System One model (jev) plays Craftax; an LLM sets the goals
Jev Slop Guard — a Chrome extension that scores and stamps AI slop on your X and LinkedIn feeds as you scroll
OpenCode v2 plugin that uses Jev (TypeSafe AI) to dynamically select relevant skills and tools per turn, reducing context window usage.
Pytest plugin for semantic assertions on LLM output using Jev's calibrated probabilities.
Chess against Jev, TypeSafe AI's System One model, through OpenRouter. Built with the pico framework.
About calibrating Jev for code reviews
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use jev in dbt
Typed semantic judgments and pattern matching for TypeSafe Jev and local Laya in Elixir
Verdict-based context compaction for DeepSeek Harness — replaces lossy LLM summaries with fast keep/truncate/drop decisions from jev-latest; everything kept stays verbatim. Port of tamaratran/fast-jev-compaction.
Scan a GraphQL schema and flag PII, auth gaps, N+1 risk, and naming/doc issues using TypeSafe's Jev model
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Classify Hugging Face datasets across typed semantic dimensions with TypeSafe Jev System One.
NYC 311 complaint heatmaps with TypeSafe JEV: reproducible pipeline, live research results, and interactive geographic visualizations.