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Browser Automation

intermediate

`jev-mobile` accepts a high-level task, persists it in SQLite, and lets one durable worker execute **observe → normalize → decide → mutate → verify** against a USB-connected Android device. Jev receiv

jevtypesafebrowser-automation+1 more

0 installs

4/5

jev-reranker

Rerank, filter, and compress JSON search results with TypeSafe AI's Jev.

jevtypesafesearch-retrieval+1 more

jev-mode

jevtypesafecli-git-gates+1 more

I kept watching coding agents burn context on decisions that aren't hard - triage 400 tickets, tag 600 files, route to one of six teams. jev-mode moves those verdicts to a typed-judgment model. I A/B'

jevtypesafemcp-integrations+1 more

jev-mcp (rajasekharponakala)

MCP server wrapping TypeSafe's Jev System One models — typed noul/choice/score judgments for AI agents

jev-browser-local

Run jev-browser on a fully local JEV-style decision engine (no cloud API). Warm-browser fork, VRAM guard, measured benchmarks, run traces.

jev-codex-model-and-effort-router

AI & Machine Learning

jevtypesafellm-routing-cost+1 more

Jev-powered: Copy and paste this into your coding agent:

pi-fast-jev-compaction (KamilPostrozny)

AI & Machine Learning

jevtypesafecontext-compaction+1 more

Fast JEV compaction extension for pi

jevcore

A judgement primitive for TypeSafe **System One / Jev** — ask N things × K typed questions in bounded, cheap, fail-open requests — plus the **JEV harness**, the closed boundary in code that makes a Je

ego-jev (ZHUBoer)

Complete browser tasks with Ego Lite and actively call Jev for semantic target selection, filtering, ranking, classification and text evidence judgments.

jevtypesafemcp-integrations+1 more

jev-rust-review

Rust-aware code review for Claude Code and coding agents, powered by TypeSafe Jev

jev-browser-skill (zurfyx)

Let Jev, TypeSafe's ~100ms decision model, drive your browser. A plug-and-play skill for Claude Code and Codex.

jevtypesafemcp-integrations+1 more

mcp-server-jev

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

jevtypesafesearch-retrieval+1 more

jevframe

Semantic AI for pandas and Polars: classify text, analyze sentiment, and score DataFrame rows with natural-language questions and full probabilities using TypeSafe Jev.

jev-android

A Kotlin Android SDK for UI automation powered by TypeSafe Jev, with an accessibility runtime and sample app.

jev-skills (laguagu)

Practical agent skills and examples for building with Jev. API setup, routing, ranking, and evidence checks.

deepseek-harness-jev-pre-compaction

AI & Machine Learning

jevtypesafecontext-compaction+1 more

A pre-compaction advisor for DeepSeek Harness. Runs before the standard `compaction-basic` backend, using TypeSafe JEV to safely prune low-value tool results from model context. Original session event

jevtypesafedomain-workflows+1 more

jevernetes

Live Kubernetes log analysis, contextual investigation, and agent handoff powered by Jev.

JevOps

Jev is a **gate**, not a generator. This package does **not** write Lean. Lake (or another oracle) lives in the implementation that *uses* the kernel.

jevtypesafecreative-multimedia+1 more

let-jev-speak

Jev-powered: TypeSafe's `/v1/systemone` endpoint classifies text — it returns a `choice`, a `score`, or a probability. It does not generate prose. This library makes it generate prose anyway: every wo

jevtypesafedomain-workflows+1 more

Working-Memory-Jev

Jev-powered: Edit `.env` locally and replace the placeholder with your own key. Keep this file private; Git ignores it. Do not paste the key into frontend code, a browser field, an issue, or a command

jev-rs

System One judgments (noul/choice/score) from any LLM in one prefill — a Rust, Jev-compatible /v1/systemone engine

jevriel

jevtypesafemultilanguage-sdk+2 more

Jev-powered: Codex · Claude Code · Portable skill** | [Apache-2.0 code and docs](LICENSE) | Early release

jev-browser-pilot

Jev-powered: A bounded decision layer for browser and desktop automation: a decision-only model picks one next step; the code owns perception, content, actuation and verification.