Jev ecosystem projects — page 30

Jev-judged context compaction for DeepSeek Harness: semantic tool-result pruning + deterministic receipt compaction

Do you need a hosted decision model, or does a small local model match it? Measure accuracy, latency, calibration and cost on your own task.

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.

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。

Blazing-Fast Token-Efficient Intrusion Detection System (IDS) based on TypeSafe's Jev.

Speed and accuracy benchmark: TypeSafe's Jev API vs the local Laya MLX typed-decision model on synthetic tasks

JEV Smart Router — a Databricks App that uses TypeSafe JEV to pick which model answers each message, then runs inference on the chosen Databricks Foundation Model API endpoint.

Jev walks a real Pokémon FireRed ROM.

Exact token counting and request-cost prediction for TypeSafe's Jev (tiktoken-style)

Jev-style decision model based on LFM2.5-350M

Chess against Jev, TypeSafe AI's System One model, through OpenRouter. Built with the pico framework.

About calibrating Jev for code reviews

A curated list of open-source Jev projects where every entry links to the line of code that calls Jev, and every performance number comes from an independent 2,390-question benchmark.

cuda-Jev — a CUDA-native Jev System One decision inference engine. Jev compatible API, examples, and reproducible benchmarks.

use jev in dbt

High-throughput, robust native DuckDB extension for batched and streaming TypeSafe/Jev classification, scoring, and semantic predicates from SQL.

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

Don't burn your expensive main model on grep-and-guess grunt work — let jev rank the whole repo, and save the main model for reading the right files and writing the right code.

A character-level language model built on Jev, a System One classifier