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JEV

Open-source directory

Every project here really calls Jev in its source · refreshed daily

788projects
182runnable here
765code receipts

▶ RUN IT HERERunnable right here

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src/model.ts
questions: {
  direction: choice,
}
runnable
@jarrodwatts1.4k

jev-trader

One AI trade decision every Monad block. Jev on Kuru MON-USDC.

ApplicationsTypeScript
scripts/jev_probe.mjs
questions: {
  requested: boolean,
  issued: boolean,
  route: choice,
  // +1
}
runnable
@TianyuCodings1.1k

NanoJev

A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.

Open reproductionsPython
examples/python/quickstart.py
questions: {
  intent: choice,
  is_urgent: boolean,
  frustration: score,
}
runnable
@Anil-matcha643

awesome-jev-by-typesafe

Evidence-backed use cases, patterns, prompts, and starter code for TypeSafe Jev — a System One model for fast, typed, confidence-aware decisions in software.

Lists & resourcesPython
playground/src/lib/kev.ts
questions: {
  department: choice,
  return_reason: choice,
  requested_resolution: choice,
  // +2
}
runnable
@jaredpalmer617

kev

tiny Jev-like model built on top of Qwen2.5-0.5B you can train and run on your MacBook

Open reproductionsPython
src/review/codebase-judgments.ts
questions: {
  correctness: boolean,
  security: boolean,
  reliability: boolean,
  // +2
}
runnable
@devagrawal09367

jev-review

A staged code-review workflow and local dashboard built with TypeSafe Jev.

Guardrails & reviewTypeScript
scripts/jev-decide.mjs
questions: {
  action: choice,
  done: boolean,
  risk: boolean,
}
runnable
@Sac-Y355

Jev-cu

把 Computer Use 的「下一步点哪里」交给 Jev(TypeSafe System One):Jev 从界面文字候选中选元素、动作、完成度与风险,Codex Computer Use 负责读取界面与执行,本地策略门槛拦截敏感操作。只传文字,不传截图。

SDKs & clientsJavaScript

Want your own questions?

Write your own criteria, options and score levels in the playground, paste some text, and watch Jev decide. 15 free runs a day.

Open the playground →

ALL 788 PROJECTSEvery project

src/model.ts
questions: {
  direction: choice,
}
runnable
@jarrodwatts1.4k

jev-trader

One AI trade decision every Monad block. Jev on Kuru MON-USDC.

ApplicationsTypeScript
scripts/jev_probe.mjs
questions: {
  requested: boolean,
  issued: boolean,
  route: choice,
  // +1
}
runnable
@TianyuCodings1.1k

NanoJev

A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.

Open reproductionsPython
examples/python/quickstart.py
questions: {
  intent: choice,
  is_urgent: boolean,
  frustration: score,
}
runnable
@Anil-matcha643

awesome-jev-by-typesafe

Evidence-backed use cases, patterns, prompts, and starter code for TypeSafe Jev — a System One model for fast, typed, confidence-aware decisions in software.

Lists & resourcesPython
playground/src/lib/kev.ts
questions: {
  department: choice,
  return_reason: choice,
  requested_resolution: choice,
  // +2
}
runnable
@jaredpalmer617

kev

tiny Jev-like model built on top of Qwen2.5-0.5B you can train and run on your MacBook

Open reproductionsPython
src/review/codebase-judgments.ts
questions: {
  correctness: boolean,
  security: boolean,
  reliability: boolean,
  // +2
}
runnable
@devagrawal09367

jev-review

A staged code-review workflow and local dashboard built with TypeSafe Jev.

Guardrails & reviewTypeScript
scripts/jev-decide.mjs
questions: {
  action: choice,
  done: boolean,
  risk: boolean,
}
runnable
@Sac-Y355

Jev-cu

把 Computer Use 的「下一步点哪里」交给 Jev(TypeSafe System One):Jev 从界面文字候选中选元素、动作、完成度与风险,Codex Computer Use 负责读取界面与执行,本地策略门槛拦截敏感操作。只传文字,不传截图。

SDKs & clientsJavaScript
website/playground.mjs
questions: {
  refund: boolean,
  spam: boolean,
}
runnable
@featherless-ai312

simple-jev

Turn any open model into a classifier/jev endpoint

InfrastructurePython
src/typesafe_mario/policy.py
questions: {
  next_action: boolean,
  danger: score,
}
runnable
@fhshaik287

typesafe-mario

A TypeSafe/Jev agent that plays Super Mario Bros. from structured emulator state.

Games & simulationPython
test/typesafe.test.ts
questions: {
  window: choice,
  source_reddit: boolean,
  plain: boolean,
}
runnable
@superagents-lab248

jev-search

Search the web with TypeSafe's Jev: source selection, query understanding and relevance ranking. Built with Search1API.

Search & retrievalTypeScript
tests/test_client_with_fake_model.py
questions: {
  positive: boolean,
}
runnable
@typesafe-ai177

system-one-adapter-python

Drop-in TypeSafeClient replacement backed by LLM APIs

OfficialPython
src/typesafe_sdk/_core/client/aio/client.py
questions: {
  billing: boolean,
}
runnable
@typesafe-ai129

typesafe-sdk-python

The official Python library for the TypeSafe API

OfficialPython
src/constants.js
questions: {
  intent: boolean,
  target: boolean,
  site: boolean,
  // +5
}
runnable
@moritzkremb126

jev-voice-browser

Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.

Browser & computer useJavaScript
tests/primitives.test.ts
questions: {
  severity: score,
  needs_tool: boolean,
}
runnable
@BillionsBobby94

JevRouter

A lightweight Jev-powered router for models, tools, and subagents

Agent toolingTypeScript
src/gate.ts
questions: {
  destructive: boolean,
  exfiltration: boolean,
  beyond_scope: boolean,
  // +1
}
runnable
@y0usaf93

pi-jev

TypeSafe Jev as a decision layer for the Pi coding agent: a measured tool-call gate plus jev_ask for typed, calibrated answers

Agent toolingTypeScript
test/api.test.ts
questions: {
  urgency: score,
}
runnable
@pithings85

advocaat

A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev.

SDKs & clientsTypeScript
docs/app.js
questions: {
  queue: choice,
  escalate: boolean,
  urgency: score,
  // +1
}
runnable
@kshetrajna1280

reflex

A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.

Open reproductionsPython
tactics.py
questions: {
  risk: score,
}
runnable
@RomanSlack79

jev-drone

Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz

Games & simulationPython
examples/workflows/stale-todo-audit.ts
questions: {
  stale: choice,
}
runnable
@devagrawal0976

stanley-code

Bounded TypeSafe Jev workflows for coding agents.

Agent toolingTypeScript
examples/intent_routing.py
questions: {
  intent: choice,
  needs_reasoning: score,
}
runnable
@wfzyx48

von

The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.

Open reproductionsPython
test/classify.test.js
questions: {
  relevant: boolean,
}
runnable
@kbhuw46

jev-sift

Classify first. Read selectively. A portable agent plugin and MCP tool for batch text classification.

Agent toolingJavaScript
test/client_test.rb
questions: {
  urgent: boolean,
}
runnable
@obie45

ruby_decision_model

Ruby client for decision models such as Typesafe Jev

SDKs & clientsRuby
options.js
questions: {
  ok: boolean,
}
runnable
@RafalWilinski42

vibecheck

Chrome extension: vibe-check your X posts with TypeSafe's Jev before you hit Post

ApplicationsJavaScript
app/services/typesafe_service.py
questions: {
  sentiment_spectrum: score,
  catalyst_impact: score,
}
runnable
@brainstormity41

Jev-X-Sentiment-Analysis

An on-demand crypto market intelligence and decision-support terminal powered by TypeSafe AI's System One model (Jev).

ApplicationsPython
packages/api/examples/benchmark.ts
questions: {
  refund: boolean,
}
runnable
@iammrduncan32

typesafe-ai-benchmark

This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev.

InfrastructureTypeScript
examples/m3_typesafe_sdk_demo.py
questions: {
  department: choice,
  urgent: boolean,
  frustration: score,
}
runnable
@deepanwadhwa29

OpenDecision

OpenDecision is an open-source semantic decision engine like typesafe's jev.

Open reproductionsPython
src/router.py
questions: {
  intent: choice,
  reuse_cache: boolean,
  needs_subagent: boolean,
  // +2
}
runnable
@Bodila5125

grok-bot-jev

Connect TypeSafe Jev to Grok Bot as a cheap decision layer - usage gates, skill template, examples

Agent toolingPython
src/mcp/tools.test.ts
questions: {
  refund: boolean,
  team: choice,
}
runnable
@tacticocc25

Jevbridge

ACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and typed decisions alongside Codex, Claude, Grok, and OpenCode.

Agent toolingTypeScript
src/jev-connection.ts
questions: {
  next_reference: choice,
}
runnable
@AlbionaHoti23

refgarden

A spatial reference explorer for creators. Local Jev query choices, metadata highlights and source-linked collections.

ApplicationsTypeScript
src/lib/questions.ts
questions: {
  problem: score,
  customer: score,
  demand: score,
  // +5
}
runnable
@monteduro21

killmyidea

Describe your startup idea. Jev decides: kill it, fix it or ship it.

ApplicationsTypeScript
scripts/benchmark.mjs
questions: {
  ok: boolean,
}
runnable
@burnigtm19

jev-mcp

MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client

Agent toolingTypeScript
src/context.ts
questions: {
  r0_missing: boolean,
  r0_instruction: boolean,
}
runnable
@compozy18

yoshi

Context-pruning proxy for Claude Code and Codex: Jev judges which history is still needed, measured not claimed. POC here now, heading soon into https://github.com/compozy/compozy

Context engineeringTypeScript
src/commands.ts
questions: {
  is_billing: boolean,
  category: choice,
}
runnable
@TheoOliveira18

pi-jev

Semantic tool routing and typed System One decisions for the Pi coding agent using TypeSafe Jev

Agent toolingTypeScript
experiments/browser-chaos/src/jev-driver.ts
questions: {
  stuck: boolean,
  destructive: boolean,
}
runnable
@mizchi17

jev-playground

TypeSafe AI の System One モデル Jev を MoonBit から触るためのプレイグラウンド。

Benchmarks & researchTypeScript
src/recipes/questions.ts
questions: {
  injection: boolean,
  hidden: boolean,
  exfiltration: boolean,
  // +3
}
runnable
@shiftynick17

jev-axi

Agent-ergonomic CLI for TypeSafe's Jev: fast calibrated judgments (pick, rate, check, rank, triage, guard) from the shell

SDKs & clientsTypeScript
src/constants.js
questions: {
  intent: boolean,
  target: boolean,
  site: boolean,
  // +5
}
runnable
@brudarko16

jev-mac-voice

English full-duplex voice control for macOS with OpenAI Realtime, native Accessibility, and Jev.

ApplicationsJavaScript
desktop/test/chat-user-input-prompt.test.tsx
questions: {
  questions: boolean,
}
runnable
@CheshiAI16

Cheshi

Jev-powered conversation memory: find past sessions and revisit decisions with original sources. A macOS workspace for OpenAI Codex. Manage AI conversations and agents, explore code with CodeGraph, and work with Git, Ghostty terminals, and Apple Notes in one app.

ApplicationsC
tools/verify_api.py
questions: {
  binary: boolean,
  rating: score,
}
runnable
@Argos111115

jev_local

Replicating Jev with a local LLM

Open reproductionsPython
lib/jev-chat/engine.ts
questions: {
  conflict: boolean,
}
runnable
@TypeSafeAI14

typesafe-playground

Community TypeSafe AI playground: 110 use cases, games, dilemmas and model challenges, with editable prompts, A/B comparisons and a mobile-friendly UI.

ApplicationsTypeScript
tests/jev.test.ts
questions: {
  s0: boolean,
  s1: boolean,
}
runnable
@wobsoriano14

oxlint-plugin-jev

Lint rules written in plain English. Oxlint finds the code, TypeSafe Jev answers the question.

Guardrails & reviewTypeScript
scripts/check-provider.mjs
questions: {
  color: choice,
}
runnable
@jcpsimmons13

jev-macos-loop

Open-source macOS AI computer use and native GUI automation on Apple silicon. Jev + OmniParser CoreML + Apple Vision OCR. Bring your own OpenRouter, Vercel AI Gateway, or TypesafeAI token.

Browser & computer useJavaScript
src/evals/judges/system_one.py
questions: {
  does_pass: boolean,
}
runnable
@danielgshea12

jev-as-a-judge

Using Jev as an evaluator.

Benchmarks & researchPython
src/lib/analyze.ts
questions: {
  value: choice,
  surprising: boolean,
  funny: boolean,
  // +4
}
runnable
@sensahin12

transcript-lens

YouTube transkriptlerini anlamına göre keşfedin. Türkçe arayüz, Jev analizi, altyazı dışa aktarma ve Vercel kurulum rehberi.

ApplicationsTypeScript
src/mario_jev/policy.py
questions: {
  movement: choice,
  start_jump: boolean,
  ceiling_hop: boolean,
  // +1
}
runnable
@shantanugoel12

mario-jev

A uv-managed Python prototype that plays NES Super Mario Bros. (level 1-1 by default).

SDKs & clientsPython
src/jev_game_lab/smoke.py
questions: {
  action: choice,
  in_danger: boolean,
  threat: score,
}
runnable
@Eniip11

jev-game-tools

Experiments in driving real-time games with TypeSafe Jev: a fast

SDKs & clientsPython
data/jev-guide.js
questions: {
  amount_disclosed: boolean,
}
runnable
@everyai-com11

jev-directory

A browsable directory of what Jev can do — 50 runnable

Lists & resourcesHTML
src/guard.js
questions: {
  directed: boolean,
  kind: choice,
}
runnable
@leepokai11

jev-guard

Auto mode for every coding agent, built on Jev: risk-scores every tool call with session context (deny / ask / allow), flags prompt injection in results, checks skills and plugins. Claude Code, Codex, Copilot, Gemini, Cursor, pi, OpenCode, ACP.

Agent toolingJavaScript
scripts/smoke.ts
questions: {
  is_urgent: boolean,
  department: choice,
  frustration: score,
}
runnable
@Brainwires10

jevwire

Jev decision layer for agents: MCP server, embeddable DecisionModel library, and an escalate-only Claude Code plugin (TypeSafe AI's Jev)

Agent toolingTypeScript
demo01/questions.mjs
questions: {
  team: choice,
  human_requested: boolean,
  refund_requested: boolean,
  // +3
}
runnable
@kavehmz10

typesafe-playground

Interactive experiments with TypeSafe Jev, from support routing to 3D driving simulations with real AI decisions and visible sensor inputs.

Games & simulationJavaScript
test/jev.test.ts
questions: {
  skill: choice,
}
runnable
@madeye10

pi-jev

Jev-assisted file retrieval and request caching for faster Pi workflows

Agent toolingTypeScript
src/classifier.js
questions: {
  route: choice,
}
runnable
@socai-io10

jev-social

Jev-powered Instagram, TikTok, and LinkedIn research: typed routing, real browser evidence, streamed post cards, video capture, and cited socai reports.

ApplicationsJavaScript
scripts/probe-jev-input-size.mjs
questions: {
  noul: boolean,
}
runnable
@tyler-dot-earth10

patdown

typesafe's jev as a "fuzzy linter". give your code an ocular patdown.

Guardrails & reviewTypeScript
public/js/brain.js
questions: {
  lane_action: choice,
  speed_action: choice,
  hazard: score,
  // +1
}
runnable
@vinilana10

live-jev

2D autonomous car simulation in the browser, driven by TypeSafe's Jev decision model

Games & simulationJavaScript
tests/live_scoring.mjs
questions: {
  route: choice,
  urgent: boolean,
  severity: score,
}
runnable
@pst21549

Nemotron_Jev

Nemotron Diffusion Decision Lab

InfrastructureHTML
belay.mjs
questions: {
  claims_done: boolean,
  claims_verified: boolean,
  verification_applies: boolean,
  // +1
}
runnable
@valentynkit9

jev-belay

Claude Code Stop hook that blocks an unverified done: reads the transcript for evidence, asks Jev once, fails open on everything else

Agent toolingJavaScript
extensions/eutrya-adaptive-extension/src/router.mjs
questions: {
  route: choice,
  toolFree: boolean,
}
runnable
@hellozenstrategist-lab8

eutrya

Jev-native AI security harness for autonomous research, multi-agent swarms, persistent hunt boards, and long-running agent workflows. CLI-first, open source, and built for authorized security research.

Benchmarks & researchJavaScript
extensions/quiet-ask/packs/intent.ts
questions: {
  intent: boolean,
}
runnable
@HyunjunJeon8

pi-quiet-ask

TypeSafe Jev as the pi coding agent's quiet decision layer

Agent toolingTypeScript
extension/background.js
questions: {
  intent: choice,
  rage_bait: boolean,
  synthetic: boolean,
  // +1
}
runnable
@manifoldor8

xtags

在 X 的时间线上,给每条帖子标出它想让你干什么。判断来自 Jev,一个只返回概率、不生成文本的模型。

ApplicationsJavaScript
skills/jevlogs/examples/measured-evaluator.ts
questions: {
  actionable: boolean,
  priority: choice,
  value: score,
}
runnable
@reachjalil8

jevlogs

Open-source Jev log triage for OpenTelemetry. Score the signal before expensive LLM analysis.

Context engineeringTypeScript
test/backends.test.ts
questions: {
  is_bug: boolean,
  team: choice,
  urgency: score,
}
runnable
@shitianfang8

jev-use

Claude Code / Codex / pi plugin that hands agent steps needing no text output to Jev (TypeSafe's judgment model) — measured p50 ~230 ms and ~$0.02 per 1,000 judgments, with typed escalation back to the LLM

Agent toolingJavaScript
examples/python/01_routing_triage.py
questions: {
  topic: choice,
}
runnable
@aliaihub7

awesome-jev-usecases

Evidence-backed use cases, patterns, and guidance for building with Jev, TypeSafe AI's System One model. Every claim is labeled and sourced.

Lists & resources
src/lib/classify.ts
questions: {
  category: choice,
  urgency: score,
  isPersonal: boolean,
}
runnable
@fazlerocks7

jevmail

Open-source AI email triage for Gmail. Sorts your inbox into Needs reply, Updates, Promos, Sales and Spam with Jev, TypeSafe AI's decision model, via Vercel AI Gateway. Read-only, runs locally, 1,000 emails in about a minute for 3 cents.

ApplicationsTypeScript
src/cascade-evaluator.test.ts
questions: {
  unambiguous_match: boolean,
}
runnable
@jekhov7

jekhov

Policy-bounded Jev target selection for resilient Playwright workflows

Browser & computer useTypeScript
tests/cache-identity.test.ts
questions: {
  call_t1: boolean,
}
runnable
@jerryfane7

omp-jev-compaction

Verbatim Jev-scored context reduction for omp, over TypeSafe or OpenRouter

Context engineeringTypeScript
scripts/demo.mjs
questions: {
  intent: choice,
  isUrgent: boolean,
}
runnable
@matthewp7

flue-jev-demo

Flue agent routing with TypeSafe Jev through Cloudflare AI Gateway

Agent toolingTypeScript
tests/test_with_model.py
questions: {
  a: boolean,
  b: boolean,
}
runnable
@aabolfazl6

typesafe-local

Inspired by TypeSafe Ai, Ask a local LLM typed questions, get calibrated probabilities instead of text. Structured output without generation or parsing. MLX / Apple Silicon.

Benchmarks & researchPython
src/typesafe_ai_basic/test_basic.py
questions: {
  billing: boolean,
  urgency: score,
}
runnable
@GiesN6

typesafe-jev-workflow

A small async LangGraph workflow that sends a mocked email to TypeSafe's Jev model,

SDKs & clientsPython
src/guard.ts
questions: {
  context_needed: choice,
}
runnable
@harshwasan6

pi-jev-sentinel

Pi coding-agent extension: TypeSafe Jev checks for tool calls, tool outputs and replies (prompt injection, approvals, secret scrubbing, task pinning)

Agent toolingTypeScript
src/jgrep.test.ts
questions: {
  beauty: boolean,
  cat: choice,
}
runnable
@kyu12046

jgrep

grep for what code does, not what it's called. Semantic code search powered by TypeSafe Jev.

Search & retrievalTypeScript
extension/background.js
questions: {
  irreversible: boolean,
  goal_done: boolean,
}
runnable
@ranjan28296

AskJev

AskJev — Jev autopilot for any website + guard on irreversible clicks (TypeSafe System One, not Claude)

Browser & computer useTypeScript
tests/clients/test_jev.py
questions: {
  partial: boolean,
  score: boolean,
}
runnable
@agent-labs-dev5

fastbrowse

A fast browser agent: Jev picks each action from what is on the page, an LLM reads and plans, and every claim in an answer cites a quote from the page.

Browser & computer usePython
test/tool.test.js
questions: {
  urgent: boolean,
}
runnable
@arunav255

jev-mcp

Connect JEV to MCP clients and compare its judgments against general-purpose LLMs using shared datasets and measurable accuracy.

Benchmarks & researchJavaScript
defaults.js
questions: {
  category: choice,
  tech: boolean,
  ai_written: boolean,
}
runnable
@bohutang5

sift

Chrome extension that labels every post on X (Substance · Humor · Chit-chat · Promo · Junk · AI-written) with TypeSafe Jev, and hides the ones you don't want.

ApplicationsJavaScript
test/jev-pin.test.ts
questions: {
  q1: boolean,
}
runnable
@Kevthetech1435

super-jev

A small, extensible decision-to-action harness for TypeSafe Jev

Agent toolingPython
tests/test_client.py
questions: {
  is_spam: boolean,
}
runnable
@Kiln-AI5

jev_jsonschema

Run a JSON Schema through TypeSafe's Jev API, and get JSON back.

SDKs & clientsPython
src/decisions.ts
questions: {
  instructions: boolean,
}
runnable
@thejorgg5

omp-jev

TypeSafe Jev routing for Oh My Pi, with an opt-in checkpoint orchestrator and editable XDG configuration. Requires Bun = 1.3.14 and OMP = 18.2.3.

Benchmarks & researchTypeScript
index.js
questions: {
  odd: boolean,
}
runnable
@alxcrt4

is-odd-jev

Check whether a number is odd, using a System One model, with a calibrated probability.

SDKs & clientsJavaScript
server/pilot.ts
questions: {
  throttle: choice,
  yaw: choice,
  pitch: choice,
  // +3
}
runnable
@arielweinberger4

jev-autopilot

This demo uses Jev from TypeSafe AI to autonomously fly a drone in a random city from point A to point B, avoiding obstacles along the way. A trip costs $0.01.

Games & simulationTypeScript
src/spam.ts
questions: {
  unsolicited_promotion: boolean,
  profile_bait: boolean,
  scam_or_phishing: boolean,
  // +5
}
runnable
@backmeupplz4

jev_antispam_bot

Minimal grammY Telegram anti-spam bot powered by TypeSafe Jev

Guardrails & reviewTypeScript
scripts/test_live_e2e.ts
questions: {
  operation: choice,
}
runnable
@chy4pro4

jev-for-chrome

Jev for Chrome: drives the tab you are looking at with TypeSafe Jev, a sub-second decision model. Community port of browser-use/jev-ultrafast, not affiliated with TypeSafe.

Browser & computer useTypeScript
scripts/score-sources.ts
questions: {
  about: boolean,
  keep: choice,
}
runnable
@daftAI20264

awesome-jev

TypeSafe System One / Jev community directory — GitHub projects & posts around typed decisions (typesafe.ai)

Lists & resourcesTypeScript
src/lib/examples.ts
questions: {
  is_spam: boolean,
  folder: choice,
  suspicion: score,
}
runnable
@davila74

jev-explained

Jev Explained

ApplicationsTypeScript
service/jev.mjs
questions: {
  connected: boolean,
}
runnable
@Devin-AXIS4

jev-dsh-decision

Jev DSH 决策引擎|面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness,通过 iPolloWork 支持 OpenCode、Codex Harness。

Agent toolingJavaScript
test/loop.test.js
questions: {
  operation: choice,
  click_target: choice,
  goal_reached: boolean,
  // +1
}
runnable
@forvela4

jev-agent-browser

Fast, bounded browser agents powered by Jev and agent-browser — typed actions, research, classification, and safe orchestration.

Browser & computer useJavaScript
test/typesafe/sdk/client_test.rb
questions: {
  department: boolean,
  frustration: boolean,
}
runnable
@joshmn4

typesafe-sdk

Ruby client for typesafe.ai

SDKs & clientsRuby
examples/sglang_inference.py
questions: {
  delivery: boolean,
  department: choice,
  urgency: score,
}
runnable
@Yinsongxu4

LLM2Jev

Adapt local language models into Jev-compatible structured decision engines with Choice, Score, and Noul outputs powered by prefill-only binary inference.

SDKs & clientsPython
src/jevchat/state.py
questions: {
  done: boolean,
}
runnable
@adhyaay-karnwal3

jev-chat

A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.

Benchmarks & researchPython
examples/standalone-game/src/index.ts
questions: {
  is_impossible: boolean,
}
runnable
@buberlo3

dsh-jev

Jev-powered decision layer for DeepSeek Harness

Agent toolingTypeScript
tests/typesafe-jev.test.ts
questions: {
  is_urgent: boolean,
  frustration: score,
}
runnable
@buchmark3

claude-jev

Claude Code plugin that scores review findings, debug hypotheses and design options with TypeSafe's Jev — calibrated probabilities instead of one more opinion.

Agent toolingTypeScript
test/key.test.mjs
questions: {
  is_urgent: boolean,
}
runnable
@cyberofficial3

dsh-plugin-jev

Agent-facing TypeSafe Jev (System One) for the DSH Web GUI. The model itself

Agent toolingJavaScript
examples/contrast.mjs
questions: {
  routine: boolean,
}
runnable
@EugeneBoondock3

jevsql

SQL with natural-language predicates, powered by TypeSafe's Jev. Filter, rank, classify and score rows by meaning — batched, cached and cost-guarded.

Search & retrievalJavaScript
background.js
questions: {
  automated: boolean,
}
runnable
@goncy3

quiet-replies

A small Chrome extension that marks or collapses likely AI-written replies on X, powered by Jev.

ApplicationsJavaScript
jev-browse.mjs
questions: {
  done: boolean,
  blocked: boolean,
}
runnable
@kyrylosyzonenko3

jev-browse

jev-browse is an unofficial project and isn't affiliated with TypeSafe or Vercel.

Benchmarks & researchJavaScript
src/constants.js
questions: {
  intent: boolean,
  target: boolean,
  site: boolean,
  // +5
}
runnable
@mstf-svndk3

jev-windows-voice

Türkçe ve İngilizce doğal konuşmayla Windows 10/11 bilgisayar kontrolü: OpenAI Realtime, local Whisper, Jev, UI Automation ve Playwright.

Browser & computer useJavaScript
scripts/live-smoke.ts
questions: {
  department: choice,
  frustration: score,
  is_urgent: boolean,
}
runnable
@noetion3

dsh-jev

DSH bundle that registers jev_ask for TypeSafe Jev noul, choice, and score answers.

SDKs & clientsTypeScript
src/tools.ts
questions: {
  instructions: boolean,
}
runnable
@Nyarlathoteppppp3

pi-heed

Runtime constraints for the pi coding agent: checks every side-effecting tool call against what you said, before it runs. Powered by TypeSafe Jev.

Guardrails & reviewTypeScript
spec/jevalyn/cassette_spec.rb
questions: {
  urgent: boolean,
}
runnable
@Ray-Hughes3

jevalyn

The decision layer for your Rails app. A Rails-native wrapper around TypeSafe's Jev System One API: typed, calibrated decisions in your control flow.

SDKs & clientsRuby
web/home.js
questions: {
  what: choice,
}
runnable
@4anti2

jev-broadcast-lab

Operator lab for TypeSafe Jev. Chess Arena, closed-schema booths, Stockfish HUD for review only.

Benchmarks & researchJavaScript
src/ui/options.js
questions: {
  t: boolean,
}
runnable
@abhixhek2

feedwall

Your feed, your rules, in plain English. A browser extension that filters X, YouTube, Reddit, LinkedIn and Hacker News with topics you write yourself. Bring your own Jev key.

ApplicationsJavaScript
src/routing-policy.ts
questions: {
  model: choice,
  effort: choice,
  is_followup: boolean,
}
runnable
@adarshmishra072

jcm-router

Local proxy that picks the Claude model and effort per message using TypeSafe Jev. Routes subagents, leaves your cached main chat alone.

InfrastructureTypeScript
hooks/suggest.ts
questions: {
  needs_skill: boolean,
}
runnable
@BeLazy1672

typesafe-mod

Claude Code mod that routes decisions to TypeSafe's Jev model: ranks installed skills per prompt, and answers the agent's own this-or-that questions when confident.

Agent toolingTypeScript
server/classification.ts
questions: {
  confidentiality: choice,
}
runnable
@Charlyhno-eng2

jev-document-classification

JEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model.

Search & retrievalTypeScript
src/jev/compare.ts
questions: {
  comparison: choice,
}
runnable
@christian-taillon2

opencode-jev-compactor

Jev powered OpenCode compaction

Context engineeringTypeScript
jev-moderation.ts
questions: {
  blocking: boolean,
}
runnable
@CodeAlive-AI2

mastra-jev-moderation

Input moderation for Mastra agents on TypeSafe Jev — one file

Guardrails & reviewTypeScript
experiments/probe.py
questions: {
  department: choice,
}
runnable
@FirasSX9142

Janus

Measure when to use Jev and other models on your data, then route accordingly.

Benchmarks & researchPython
src/jev_mobile/providers/jev.py
questions: {
  content_type: choice,
}
runnable
@Friedjof2

jev-mobile

Fast structured Android control loops with TypeSafe Jev and Mobile MCP

Browser & computer usePython
shared/questions.js
questions: {
  is_command: boolean,
  complete: boolean,
}
runnable
@gaborishka2

jev-canvas

Draw on a tldraw canvas with your voice and a pointing finger. Jev (TypeSafe System One) decides action, target and place in ~350 ms per spoken word.

ApplicationsJavaScript
scripts/test_official_jev.py
questions: {
  department: choice,
  frustration: score,
  is_urgent: boolean,
}
runnable
@GPT-AGI2

OpenJev

Jev-compatible System 开源Jev

Open reproductionsPython
src/jev_system_one/jev.py
questions: {
  requires_uncertainty_notice: boolean,
  response_depth: score,
}
runnable
@haseeb-heaven2

jev-system-one

A polished OpenAI + TypeSafe Jev terminal interface for answers with transparent decision reports

SDKs & clientsPython
functions/api/verdict.js
questions: {
  verdict: choice,
  should: boolean,
  doom: score,
  // +1
}
runnable
@hellogumbo2

should-ai-kill-us-all

We ask Jev, TypeSafe AI's System One model, whether AI should kill us all. Every ten minutes. Using the actual headlines.

ApplicationsJavaScript
python/tiershift/signals.py
questions: {
  difficulty: score,
  needs_reasoning: boolean,
  stakes: score,
  // +5
}
runnable
@iamvatsalpatel2

tiershift

Shift every LLM call to the cheapest model that can handle it. Routing decided by TypeSafe Jev in ~180 ms. No training data. Policy in plain YAML. TypeScript and Python.

InfrastructureTypeScript
source/jev-workflows/src/contracts.ts
questions: {
  category: choice,
  reached_assertion: boolean,
  missing_context: boolean,
}
runnable
@integrate-your-mind2

jev-codex-plugin

Open-source Codex plugin for TypeSafe Jev decision consultation, failure diagnosis, and evidence-based completion review

Agent toolingJavaScript
demo/js/client-screener.js
questions: {
  is_toxic: boolean,
  is_profane: boolean,
  severity: score,
  // +2
}
runnable
@ItisShikhar2

gg-friggin-ez

Fast, drop-in profanity and toxicity screener for Node.js, powered by TypeSafe AI Jev. Catches leetspeak, character spacing, and romanized profanity across languages including Kannada, Telugu, Tamil, Hindi, and Bengali. ~50-500ms latency.

Guardrails & reviewTypeScript
router.mjs
questions: {
  complexity: score,
  needsPlanning: boolean,
}
runnable
@jcpsimmons2

jev-model-router-demo

Throwaway Jev demo: route coding tasks to Grok Build or Codex Astra

Agent toolingJavaScript
tests/failure.test.ts
questions: {
  ping: boolean,
}
runnable
@konstantinosbotonakis2

codex-context-diet

Codex plugin: Jev-guided dieting of bulky tool results

Context engineeringTypeScript
src/eval/builtin.ts
questions: {
  task_completion: score,
  instruction_following: boolean,
  grounded_in_evidence: boolean,
  // +5
}
runnable
@memovai2

openevals

Affordable for parallel online agent evals and observability. Powered by JEV.

Benchmarks & researchTypeScript
apps/web/src/snippets.ts
questions: {
  is_billing: boolean,
}
runnable
@molis-ai2

jev-workbench

Build versioned judgment functions on TypeSafe's Jev once, then call the same published version from your backend over HTTP and from coding agents over MCP. The vendor key stays on your machine.

InfrastructureTypeScript
core/typesafe.ts
questions: {
  complete: boolean,
}
runnable
@NobleSpartan62

otto

Open-source native computer use for macOS and Windows: TypeSafe Jev, local OCR, and selective planning.

Browser & computer useTypeScript
packages/decision-provider/test/openrouter.live.test.ts
questions: {
  wants_refund: boolean,
  intent: choice,
}
runnable
@omkarghugarkar0072

actiongate-jev

Runtime authorization and guardrails for AI-agent tool calls with deterministic policy and TypeSafe Jev via OpenRouter.

Guardrails & reviewTypeScript
src/llm/layaConstants.js
questions: {
  operation: choice,
}
runnable
@prateekmedia2

ly

Manipulate images via chat, uses Jev like model to classify prompt

ApplicationsJavaScript
src/policy.ts
questions: {
  destructive: boolean,
  exfiltration: boolean,
  privilege: boolean,
  // +4
}
runnable
@RiskAverseTech2

toolgate

Open auto mode for AI agents — a calibrated tool-call firewall powered by TypeSafe Jev. Ships as a Claude Code hook

Agent toolingTypeScript
src/diffusion_jev/benchmark_cases.py
questions: {
  enabled: boolean,
  color: choice,
  progress: score,
}
runnable
@Saik0s2

diffusiongemma-jev-macos

Local JEV-style decisions with DiffusionGemma on Apple Silicon, with benchmarks and coding-agent examples.

Open reproductionsPython
skills/tenbin/templates/questions.py
questions: {
  category: choice,
  bug_severity: score,
  has_repro_steps: boolean,
  // +2
}
runnable
@simota2

tenbin

MCP server and agent skill for the TypeSafe AI System One API (Jev): decompose a judgment into Choice / Score / Noul questions, lint them, measure on labelled data, and put calibrated thresholds in code

Agent toolingTypeScript
examples/doom/server/src/session-jev-trace.test.ts
questions: {
  action: choice,
}
runnable
@superradcompany2

multiverse-of-madness

Jev and Microsandbox explore alternate game futures with a reusable TypeScript learning harness

Benchmarks & researchTypeScript
scripts/probe-jev.ts
questions: {
  content_type: choice,
  already_known: boolean,
  insight_density: score,
}
runnable
@ThinkyMiner2

Winnow

Know before you click. A Chrome extension that reads articles and YouTube videos ahead of you and says read, skim, save, or skip — with a confidence, tuned to your goals. Open source, MV3, powered by Jev.

ApplicationsTypeScript
src/completion.ts
questions: {
  completion: choice,
}
runnable
@tontoko2

jev-browser

One grounded Jev/Playwright core: typed SDK, persistent CLI, and MCP server with native browser operations and deterministic assertions.

Browser & computer useJavaScript
test/gateway.test.ts
questions: {
  relevant: boolean,
  category: choice,
}
runnable
@tonyzdev2

pijev

PiJev: a terminal coding agent with Jev in the loop — Jev ranks the repository's files before the first call, picks skills and triages failures; your coding model writes the code. Built on Pi.

Agent toolingTypeScript
src/app/docs/page.tsx
questions: {
  hallucination_sensitive: boolean,
}
runnable
@tylerjharden2

ailerix

Type-safe model router. Jev (System One) banks each request to a typed catalog route.

InfrastructureTypeScript
agent/extensions/lib/jev-client.ts
questions: {
  ping: boolean,
}
runnable
@yunusemrejr2

yunuspi

Yunus Pi is a heavily customized harness experience built on top of a forked Pi harness (pi.dev). It uses patches, extensions, skills, and custom provider configs to customize the overall experience. It uses advanced machine learning, Jev, Cactus Needle 3 and similar technologies.

Agent toolingJavaScript
src/service-worker.js
questions: {
  criteria: boolean,
}
runnable
@aadhil-kh1

jevx

Jev-powered Chrome extension that categorizes X posts and classifies replies in context.

ApplicationsJavaScript
src/opensmoke/questions.py
questions: {
  claims_success: boolean,
}
runnable
@aaravriyer1931

OpenSmoke

Find the AI agent runs that broke because their environment did: missing keys, tools, files, permissions, network, or context. Powered by TypeSafe Jev.

ApplicationsPython
src/gateway.mjs
questions: {
  label: choice,
}
runnable
@acoyfellow1

nightglass

Owned, deterministic classifier for checking whether agent claims are supported by evidence, with optional Jev comparison through Cloudflare AI Gateway.

Benchmarks & researchJavaScript
shell_guard/shell_guard.py
questions: {
  irreversible: boolean,
}
runnable
@adtyavrdhn1

pydantic-jev-examples

Pydantic AI capabilities made stronger with Jev: small runnable demos, one file each

Lists & resourcesPython
tests/test_core.py
questions: {
  composition: choice,
  legibility: boolean,
}
runnable
@andrueandersoncs1

visual-jev

Image-native typed decisions with shared visual encoding and Qwen3-VL

Open reproductionsPython
firewall/judge.py
questions: {
  is_urgent: boolean,
  severity: score,
}
runnable
@AnshChoudhary1

typesafe-ai-firewall

Shadow-mode validation harness for a pre-execution firewall on AI agent tool calls (TypeSafe/Jev). Real run, findings in report.md.

Benchmarks & researchPython
src/jev/real.ts
questions: {
  action: choice,
  asset: choice,
  condition_operator: choice,
}
runnable
@axiomarchitecture1

axiom-agent-runtime

Reference prototype exploring agentic commerce: TypeSafe/Jev → Axiom → Argent → Silverscript on Kaspa.

Agent toolingTypeScript
probe.mjs
questions: {
  tier: choice,
  is_greeting: boolean,
}
runnable
@az97131

jev-model-router

Jev (TypeSafe) model router on the Vercel AI Gateway

InfrastructureJavaScript
public/world.mjs
questions: {
  line: choice,
  pace: choice,
  overtake: boolean,
  // +1
}
runnable
@bchaney1

jev_speedway

Uses jev to control race cars on a virtual track

Games & simulationJavaScript
scripts/smoke.ts
questions: {
  severity: score,
  area: choice,
}
runnable
@BYK1

jev-mcp

An eval-first MCP server for TypeSafe's Jev, a System One model that returns typed judgments (noul, choice, score) with probabilities instead of generated text.

Agent toolingTypeScript
test/adapters.test.ts
questions: {
  destructive: boolean,
  secrets: boolean,
}
runnable
@clownware1

bouncer

Jev-powered Judgment layer for Claude Code. Stops paying reasoning prices for if-statements: a PreToolUse hook scores every tool call against a YAML policy you own — allow / deny in ~100 ms, no LLM in the loop. TypeSafe Jev now, local models next. Dry-run by default, calibration table published.

Agent toolingTypeScript
.claude/hooks/warden.js
questions: {
  is_exquisite_and_dynamic: boolean,
  animation_verdict: choice,
  primary_deficiency: choice,
}
runnable
@connectedGraph1

claude-jev-warden

Real-time quality gate and Art Director Warden for Claude Code powered by TypeSafe Jev 1.13 non-autoregressive decision model

Agent toolingHTML
src/gate.ts
questions: {
  person_name: boolean,
  email_or_phone: boolean,
  postal_address: boolean,
  // +5
}
runnable
@coo-quack1

jev-pii-checker

CLI that finds PII in text with TypeSafe Jev: presence, sensitivity, and located spans

SDKs & clientsTypeScript
experiments.py
questions: {
  is_regulation: boolean,
  mentions_deadline: boolean,
  mentions_fines: boolean,
  // +5
}
runnable
@copyleftdev1

jev-labs

Never confidently wrong: a TLA+-verified consensus kernel around TypeSafe's Jev, run through 1,680 chaos-tested pharmacy decisions with zero wrong verdicts. Film, code, and every captured call.

Benchmarks & researchPython
packages/lab/src/scenarios.ts
questions: {
  topic: choice,
  requests_credentials: boolean,
  sender_identity_mismatch: boolean,
  // +4
}
runnable
@danielhirt1

jev-lab

Experiments on TypeSafe Jev (System One decision model) via OpenRouter: repeatability, perturbation, and LLM baseline comparison

Benchmarks & researchTypeScript
lib/review.ts
questions: {
  needs_rewrite: boolean,
  visual: choice,
}
runnable
@eachann10241

pi-jev-reply

Pi extension: clearer replies via Jev review + optional rewrite/visuals

Agent toolingTypeScript
main.py
questions: {
  states_application_instruction: boolean,
}
runnable
@ekkyarmandi1

jev-upwork-job-classification

Upwork job classification example

Search & retrievalPython
src/jev/real.test.ts
questions: {
  a: boolean,
  b: boolean,
}
runnable
@elpumberto1

barrunto

A Chrome extension that brings TypeSafe's Jev to X.com to analyze posts as you browse

ApplicationsTypeScript
scripts/jev-probe.ts
questions: {
  is_urgent: boolean,
  department: choice,
}
runnable
@emirbartu1

opencode-system-one

Opencode plugin using Jev (system one model) as part of software development process. Not affiliated with Opencode team.

Agent toolingTypeScript
src/safe_sh/__init__.py
questions: {
  file_removal: score,
  credential_theft: score,
  data_exfiltration: score,
  // +5
}
runnable
@EpicEric1

safe-sh

Static shell script analysis with Jev.

Guardrails & reviewNix
src/jev_awesome/classification/typesafe_adapter.py
questions: {
  kind: choice,
  relationship: choice,
  review_priority: score,
}
runnable
@fanly1

Jev-awesome

面向开发者的 Jev / TypeSafe 精选:说明每个项目里 Jev 负责哪一步、先读哪段源码、需要什么依赖,以及哪些结论还没有运行验证。

Lists & resourcesPython
test/jev.test.mjs
questions: {
  uses: boolean,
}
runnable
@fatwang21

jev-review-action

Configurable GitHub submission review and PR classification with TypeSafe Jev. No text-generation model.

Guardrails & reviewJavaScript
src/commands/doctor.ts
questions: {
  ok: boolean,
}
runnable
@fiale-plus1

jev-cli

Unofficial CLI for the TypeSafe System One API (Jev) — designed for AI agents and anything that can execute a process.

SDKs & clientsTypeScript
src/cli/doctor.ts
questions: {
  alive: boolean,
}
runnable
@FrancoisChastel1

jev-code

Jev, TypeSafe's System One classifier, as a tool inside Claude Code, Codex, Pi, and OpenCode: typed classify, check, score, rank, and ask, plus one-command setup.

Agent toolingTypeScript
test/cli.test.ts
questions: {
  urgent: boolean,
  severity: score,
}
runnable
@fraserxu1

node-decision-model

Node client for decision models such as Typesafe Jev

SDKs & clientsTypeScript
lib/jev.ts
questions: {
  outOfScope: boolean,
  contradictsPrevious: boolean,
  shouldFlag: boolean,
}
runnable
@getexcited1

stepwarden

Every tool call your agent makes, checked before it runs. A Claude Code plugin that uses TypeSafe AI's Jev to verify each pending tool call against the session plan, then allows it, asks you, or blocks it. Proof of concept

Agent toolingTypeScript
mcp_server.py
questions: {
  scope_alignment: score,
  touches_state: boolean,
  breaks_contracts: boolean,
  // +2
}
runnable
@greenyamao1

Antigravity-mcp-semantic-search-with-TypeSafeAi

Fast semantic code search & diff sanity auditor for AI coding assistants (Antigravity, Cursor, Claude Code) powered by TypeSafe System One.

Agent toolingPython
berserk/global-payment-incident/demo.py
questions: {
  failure_domain: choice,
  customer_impact: score,
  systemic_outage: boolean,
}
runnable
@JGalego1

Jevs-Garage

A garage full of tiny experiments for building critical systems with System One & Jev 🔧🧠⚡

Benchmarks & researchPython
src/commands/doctor.ts
questions: {
  succeeded: boolean,
}
runnable
@jtsang41

jev-cli

CLI for TypeSafe AI's Jev evaluation model — typed questions in, structured JSON answers out

SDKs & clientsTypeScript
server/decision-policy.ts
questions: {
  action: choice,
  close_intent: boolean,
  intentional_control: boolean,
  // +1
}
runnable
@jzhg61

jev-embodied-media-agent

Jev-based local-first gesture and gaze media-control agent with guarded page-close intent.

Browser & computer useTypeScript
packages/core/src/find.ts
questions: {
  edit: choice,
  contract: choice,
  caller: choice,
  // +2
}
runnable
@Kelbie1

hunch

Semantic code review with Jev, plain-English rules and Agent Skills.

Agent toolingTypeScript
test/helpers.mjs
questions: {
  next_move: choice,
}
runnable
@kspviswa1

chakravyuha-jev

Chakravyuha — a polar ring-maze where every move is a Jev (TypeSafe System One) decision. A fun experiment: the model picks each move, the walk grades it green or red, and the history page asks whether its confidence score can be trusted. BYOK, no build step.

Games & simulationJavaScript
src/jev_admit.ts
questions: {
  same_intent: boolean,
}
runnable
@kushals2561

jevcache

Skip expensive LLM calls when TypeSafe Jev says same intent. OpenAI-compatible local cache proxy — npx @kushalicious/jevcache

InfrastructureTypeScript
src/contracts.ts
questions: {
  instructions: boolean,
}
runnable
@makefinks1

jev-feed-filter

Smart, dynamic AI filtering for X and YouTube feeds using Jev

ApplicationsTypeScript
src/jev/analyze.ts
questions: {
  needs_vision: boolean,
  needs_tools: boolean,
}
runnable
@Mandrilsquad14411

jev-model-router

Pick the best AI model and reasoning effort for any task in ~1s. Plugin for Claude Code, Claude Desktop and Codex, powered by TypeSafe's Jev decision model and live OpenRouter pricing. Balance intelligence, speed and cost, or choose your priority.

Agent toolingTypeScript
tests/nexus/unit/jev-payload-guardrails.test.ts
questions: {
  eligible: boolean,
}
runnable
@Mistertelecom1

NEXUS-AI-Gateway-with-JEV

AI gateway that validates before it executes: Lead plans, JEV validates, Worker generates. Local-first control plane, 359-provider catalog.

InfrastructureTypeScript
scripts/verify-api.mjs
questions: {
  intent: choice,
  urgent: boolean,
  frustration: score,
}
runnable
@n3ndor1

n8n-nodes-typesafe-jev

n8n community node for TypeSafe Jev structured AI decisions

SDKs & clientsTypeScript
src/lib/product.ts
questions: {
  disposition: choice,
  risk: score,
  data_exfil_risk: boolean,
  // +2
}
runnable
@ndolinschi1

toolgate

Agent tool/MCP call gate — allow / ask_human / deny via TypeSafe Jev

Agent toolingTypeScript
src/jev.ts
questions: {
  should_review: boolean,
  risk: choice,
  route: choice,
  // +1
}
runnable
@NemanjaManic1

ci-gatekeeper-bot-jev

GitHub Action that uses Jev (TypeSafe AI via Vercel AI Gateway) to cheaply triage pull requests before expensive LLM/human review

Guardrails & reviewShell
scripts/probe-models.mjs
questions: {
  fraud: choice,
}
runnable
@Nutlope1

jev-fraud

Use Jev with Kimi K3 for hard classification

ApplicationsTypeScript
pipeline/classify.mjs
questions: {
  is_project: boolean,
  substance: score,
}
runnable
@ozers1

jevsome-projects

Open-source projects that provably call Jev, TypeSafe AI's System One model. Every entry links to the line of code that proves it. Refreshed daily.

Lists & resourcesJavaScript
samples/comment_triage/triage.py
questions: {
  impact: score,
}
runnable
@pavy231

jev_typesafeai_test

TypeSafe AI (jev) 시범 사용 프로젝트

Benchmarks & researchPython
packages/lint/test/cli-bin.test.ts
questions: {
  q: boolean,
}
runnable
@pjdurden1

jevkit-js

jevkit for JavaScript/TypeScript: static linter and shared record format for building on TypeSafe's Jev (System One) model. Unofficial.

SDKs & clientsTypeScript
tests/gateway.test.mjs
questions: {
  action: choice,
}
runnable
@serejaris1

voice-browser

Voice and text browser control with Jev, Chrome MV3 and a local AI Gateway bridge

Browser & computer useJavaScript
backend/train-judge.ts
questions: {
  intent: choice,
  connection: choice,
  supported: boolean,
}
runnable
@solhosty1

last-train-jev

A small detective escape room built with TypeSafe Jev, React, and Express.

Games & simulationTypeScript
src/lib/cookbook.ts
questions: {
  category: choice,
  bug_severity: score,
  wants_refund: boolean,
  // +1
}
runnable
@sugarforever1

tryjev

Jev Playground

ApplicationsSvelte
test_jev.py
questions: {
  is_urgent: boolean,
  needs_human: boolean,
  is_financial: boolean,
}
runnable
@TanayPadar1

gpt-vs-jev

Compare GPT generated language with JEV structured Noul decisions on the same input.

Benchmarks & researchTypeScript
scripts/probe-limits.mjs
questions: {
  condition: choice,
}
runnable
@Victor-Casado1

if-ai

Plain-English pull request checks powered by Jev. One condition, a minimum confidence, one check.

Guardrails & reviewTypeScript
test/integration.test.ts
questions: {
  q: boolean,
}
runnable
@Wang-auspicious1

pi-jev-compaction

Jev-powered context compaction for Pi. Keep critical instructions and tool history, prune the noise, and fall back gracefully.

Context engineeringTypeScript
api/judge.js
questions: {
  answered: boolean,
}
runnable
@X0EF1

jev_projects

list of projects that use typesafe's jev

Lists & resourcesJavaScript
server/decide.ts
questions: {
  risky: boolean,
  submit_after_typing: boolean,
}
runnable
@yatharth17061

jev-automation

Trying automation on web browser via jev from typesafe

Browser & computer useTypeScript
src/jev.mjs
questions: {
  relevance: choice,
}
runnable
@zbush1

jev-context

Codex code-search plugin using Jev relevance filtering with auditable token metrics

Agent toolingJavaScript
scripts/jev_conformance.py
questions: {
  billing: boolean,
  urgent: boolean,
  team: choice,
  // +1
}
runnable
@zerodegress1

jevinf

Jev-like model inference engine + Jev-compatible API

Open reproductionsPython
scripts/jev.test.mjs
questions: {
  refund: boolean,
}
runnable
@ZHUBoer1

ego-jev

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

Browser & computer useJavaScript
jev_ultrafast/model.py
result = post_json("https://api.typesafe.ai/v1/systemone", os.environ["TYPESAFE_API_KEY"], body)
@browser-use9.4k

jev-ultrafast

i. am. speed.

Browser & computer usePython
src/request.ts
export const SYSTEM_ONE_URL = 'https://api.typesafe.ai/v1/systemone';
@tamaratran4.4k

fast-jev-compaction

Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim.

Context engineeringTypeScript
benchmarks/build_every.py
"adaptation": "Native Noul replaced with binary Yes/No Choice; state/question unchanged",
@TheoLeeCJ2.0k

SemIf

Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.

Open reproductionsPython
typesafe-ai/skills
@typesafe-ai785

skills

Agent skills for building with TypeSafe's System One API

Official
yibie/awesome-jev
@yibie420

awesome-jev

A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.

Lists & resourcesPython
src/foreman/foreman/jev.py
from typesafe_sdk import AsyncTypeSafeClient, RetryPolicy
@thruwire408

foreman

Software factory foreman based on TypeSafe's Jev model

Agent toolingPython
AbdelStark/awesome-typesafe
@AbdelStark352

awesome-typesafe

A curated list of official resources and community projects for TypeSafe, System One models, and Jev.

Lists & resourcesCSS
v-modal/awesome-jev-tools
@v-modal292

awesome-jev-tools

A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.

Lists & resources
src/backend.ts
const url = `${opts.baseUrl ?? 'https://api.typesafe.ai'}/v1/systemone`
@kyotofin272

tax-doc-classifier

Tax document page classifier built on Jev decisions. 100% strict accuracy across 261 IRS forms, ~$0.001 per page.

Search & retrievalTypeScript
scripts/mobile-agent/policy.mjs
url: 'https://api.typesafe.ai/v1/systemone',
@droidrun241

mobile-jev

▶ Watch the demo — Jev opens Uber, enters a route from San Francisco Airport to the Golden Gate Bridge, and reaches payment selection. The recorded task timer shows about 21 second

ApplicationsJavaScript
sql/jev--0.1.0--0.2.0.sql
--   jev.api_url            default 'https://api.typesafe.ai/v1/systemone' (proxies, mocks, tests)
@realZachi225

pg-jev

Ask your Postgres tables questions in plain language. A PostgreSQL extension powered by TypeSafe's Jev.

InfrastructureShell
cobanov/awesome-jev
@cobanov221

awesome-jev

A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for typed decisions.

Lists & resources
src/config.mjs
import { choice, score } from "@typesafe-ai/sdk";
@gargpratyush217

jev-router

Route to the cheapest model in claude code for your task using jev-router

Agent toolingJavaScript
quackd/doctor.py
"jev (TypeSafe stepper)": ("typesafe_sdk", "quackd[jev]"),
@rokbenko214

quackd

One CLI for all your robots. Connect them, command them, and let them work together, each with an LLM for a brain, Jev for cheaper steps. Microduck, Open Duck Mini, LeRobot, XLeRobot, AlohaMini, ToddlerBot or any ROS base. Claude, OpenAI, Gemini, Grok, or local via Ollama or vLLM. Simulator, .duck safety contracts, MCP, memory between runs, flocks.

Games & simulationPython
skills/jev-browser-use/bridge.mjs
typesafe: {endpoint:'https://api.typesafe.ai/v1/systemone',keyName:'TYPESAFE_API_KEY',model:'jev-latest',modelPattern:/^jev-[a-z0-9.-]{1,80}$/},
@wy-coliney207

jev-browser-use

5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.

Browser & computer useJavaScript
src/openjev/api.py
"/v1/systemone",
@ekzhang204

openjev-sglang

Jev-compatible API endpoint based on open models (prefill-only)

InfrastructurePython
src/server/recommendations.ts
? "https://api.typesafe.ai/v1/systemone"
@kitze200

skillbox

Self-hosted, versioned skills library for AI agents. MCP, scoped clients, and optional Jev recommendations.

Agent toolingTypeScript
src/jev/client.ts
export const JEV_API_ENDPOINT = "https://api.typesafe.ai/v1/systemone";
@NiazMorshed2007171

jev-review

Local-first MCP plugin for continuous software-quality review by AI coding agents, powered by Jev.

Agent toolingTypeScript
src/client.ts
export const DEFAULT_BASE_URL = "https://api.typesafe.ai";
@typesafe-ai168

typesafe-sdk-js

The official TypeScript/JavaScript library for the TypeSafe API

OfficialTypeScript
entries/omnijev--playjev.json
"description": "Qwen3.5-0.8B-Base fine-tuned on frames labelled by ten per-game search programs to play ten browser games from 448 px screenshots, reading a pro
@fatwang2166

awesome-jev

A source-backed Jev project directory with a reusable Jev-only GitHub review workflow.

Lists & resourcesJavaScript
src/jev_align/jev.py
from typesafe_sdk import AsyncTypeSafeClient, Choice, Noul, Score
@sutro-sh164

jev-align

Build calibrated AI classifiers from human feedback using Jev and GEPA.

SDKs & clientsPython
src/systemone.js
baseUrl = 'https://api.typesafe.ai/v1',
@lakeday-org161

perch

Semantic code linting with Jev

Guardrails & reviewJavaScript
src/provider.ts
import { TypeSafeClient } from "@typesafe-ai/sdk";
@jkudish156

jev-browser

Browser use using Typesafe's Jev model

Browser & computer useTypeScript
jev_visual/cli.py
parser = argparse.ArgumentParser(description="Local visual Choice/Noul/Score judgments")
@hr98w152

jev-visual

An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.

Benchmarks & researchPython
openjev/api.py
"""Jev-compatible HTTP API: POST /v1/systemone and GET /v1/models.
@razorback16146

openjev

Open, Jev-compatible System One decision server on DiffusionGemma

Open reproductionsPython
lib/jev.ts
export const TYPESAFE_ENDPOINT = "https://api.typesafe.ai/v1/systemone";
@kitze136

unclutter

WXT browser extension: Jev-powered page clutter removal with reusable template rules.

ApplicationsTypeScript
scripts/issue-ingestion.mjs
? "> 💡 **如何快速复核**:如果项目中已接入 Jev / TypeSafe 决策机制(例如 Dart、Go、Rust、Java、Python、TS/JS 等多语言 SDK,或 OpenRouter decisions、`/v1/systemone` 调用),欢迎直接在本 Issue 中回复补充包含决策调用的*
@logicrw135

awesome-jev-projects

Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync

Lists & resourcesJavaScript
src/jeff/server/app.py
@app.post("/v1/systemone", response_model=SystemOneResponse)
@logan-markewich125

jeff

A self-hosted drop-in replacement for TypeSafe's jev, powered by GliFormer.

Open reproductionsPython
src/index.ts
import { choice, noul, score } from "@typesafe-ai/sdk";
@jkudish121

jev-mcp

Fast, cheap, typed judgments from TypeSafe's Jev model, as MCP tools.

Agent toolingTypeScript
.claude-plugin/marketplace.json
"name": "jev",
@dbreunig120

building-with-jev-skill

A skill for writing and improving programs that call Jev, TypeSafe's System One model

Agent tooling
cmd/evaluate/evaluate_test.go
if r.URL.Path != "/v1/systemone" || r.Header.Get("Authorization") != "Bearer k" {
@itsmostafa118

typesafe-mcp

mcp connector to give your AI agent direct access to typesafe ai's jev model

Agent toolingGo
src/jev.ts
export const SYSTEM_ONE_URL = 'https://api.typesafe.ai/v1/systemone';
@tamaratran118

jev-pruner

Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it

Agent toolingTypeScript
server/jev.js
const res = await fetch("https://api.typesafe.ai/v1/systemone", {
@standardagents99

jevpilot

A playable Three.js driving simulator with Jev-powered autopilot

Games & simulationJavaScript
src/backend.ts
typesafe: { host: "api.typesafe.ai" },
@DevMortimer96

pi-warden

Guardrails for Pi built on pi-typesafe that steer the agent instead of interrupting you: Jev judges irreversible and off-task tool calls, detects stuck loops, checks unverified done claims, flags slop

Guardrails & reviewTypeScript
semgrep.mjs
res = await fetch('https://api.typesafe.ai/v1/systemone', {
@uehaj96

jev-semgrep

grep by meaning, across languages. TypeSafe Jev scores every line against a meaning; combine meanings with AND/OR/NOT. 意味で探す grep。日本語で英語を、英語で日本語を検索できる

Search & retrievalJavaScript
agent/lib/jev-router.ts
import { TypeSafeClient, choice, noul, type ChoiceCriteria, type EntryType } from "@typesafe-ai/sdk";
@vinilana95

jev-eval-agent

🇺🇸 English · 🇧🇷 Leia em português

Agent toolingHTML
AnotiaWang/awesome-jev
@AnotiaWang87

awesome-jev

A curated list of awesome Jev / TypeSafe System One applications, libraries, and resources.

Lists & resources
scripts/exp_external_eval.py
"jev": j_val,
@Heman10x-NGU80

openJev-verdict-2.0

Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)

Open reproductionsPython
typesafe.c
"https://api.typesafe.ai/v1/systemone"
@giuliosmall79

pg_typesafe

Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification

InfrastructureC
scripts/build.mjs
Jev takes a state plus a set of typed questions (Choice, Score, Noul) and returns typed answers with calibrated probabilities in one request, no text generation
@hellogumbo77

awesome-jev

A community directory of projects built on Jev, TypeSafe AI's System One model.

Lists & resourcesJavaScript
extension/background.js
apiBase: 'https://api.typesafe.ai',
@trungdq8874

youtube-sponsor-detection

Detect youtube sponsor segment with live audio and transcript powered by Jev

ApplicationsJavaScript
OmniJev/awesome-jev
@OmniJev71

awesome-jev

🔥🔥 Papers, open reproductions and independent evaluations behind System One models and Jev.

Lists & resourcesJavaScript
jevmeter/config.py
return False, f"could not reach api.typesafe.ai ({e.__class__.__name__}); check your internet connection"
@ChetasLua70

jevmeter

Put a live Jev (TypeSafe) meter on any video: every sentence scored, rendered as a 16:9 edit

ApplicationsPython
src/transport.rs
//! port, empty or root path only. Canonical origins append `/v1/systemone`
@Dicklesworthstone69

skillranker

Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abstention, and local feedback. Requires a TypeSafe API key.

Agent toolingRust
jevkit/client.py
"""One small, strict client for TypeSafe Jev (POST /v1/systemone).
@kerpopule68

hermes-jev-skills

Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents (also Claude Code and Codex)

Agent toolingPython
src/cli.ts
import { TypeSafeClient } from "@typesafe-ai/sdk";
@mrnugget67

jev-shell-history

Fish-style zsh history autosuggestions ranked by Jev (TypeSafe)

ApplicationsTypeScript
openjev/cli.py
v = sub.add_parser("serve", help="HTTP server with the model loaded once (POST /score, /v1/systemone)")
@daseinlabs58

open-jev

Open Jev implementation with custom finetuning

Open reproductionsPython
src/typesafe.js
// Docs: https://docs.typesafe.ai/api  (POST /v1/systemone, Noul questions)
@realZachi58

typesafe-adblock

🧹 Fun project: a Chrome extension that asks a tiny AI decision model (TypeSafe Jev) "is this DOM element an ad?" and pops it off the page. BYOK, no backend, not a real ad blocker.

ApplicationsJavaScript
scripts/mock-jev.mjs
// mock-jev: a local stand-in for TypeSafe's `POST /v1/systemone`, for driving the router
@vinilana58

jev-gateway

A local LLM gateway for coding agents. When your agent is about to decide which tool to call,

InfrastructureTypeScript
examples/jev_examples/client.py
ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@AppitStudio54

awesome-jev

Curated Jev resources and runnable examples for typed AI decisions.

Lists & resourcesPython
src/cli.ts
baseUrl: process.env.JEV_BASE_URL || 'https://api.typesafe.ai/v1/systemone',
@IAmUnbounded54

save-token-jev-clean

Portable, Jev-guided context compaction for coding agents.

Agent toolingTypeScript
packages/router/src/commands/runtime.ts
import { createLiveTypeSafeClient, type TypeSafePort } from "../semantic/typesafe-client.js";
@nidhi-singh0246

agent-router

CLI that picks Cursor, Claude Code, Codex, or OpenCode + model/effort for a task, then launches it. Powered by Jev and Herdr

Agent toolingTypeScript
apps/server/src/jev/client.ts
import { TypeSafeClient, type EntryType, type Questions } from "@typesafe-ai/sdk";
@w3cj46

jev-chat

A tool calling chat bot built with Jev and no LLM.

ApplicationsTypeScript
tests/test_leaderboard.py
"name": "Jev",
@bnsd5540

jevmlx

Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.

SDKs & clientsPython
app/streamlit_app.py
from typesafe_sdk import AsyncTypeSafeClient, TypeSafeError
@jexp40

neo4jev

Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships

Agent toolingJupyter Notebook
src/index.ts
const res = await fetch(`${options.baseURL ?? 'https://api.typesafe.ai'}/v1/systemone`, {
@yusukebe39

hono-jev-router

Route HTTP requests by meaning. A semantic router for Hono powered by Jev.

InfrastructureTypeScript
server.py
ENDPOINT = 'https://api.typesafe.ai/v1/systemone'
@achimala38

jev-paint

Use Jev to make art!

ApplicationsJavaScript
plugins/jev-rules/hooks/lib/jev.mjs
url: "https://api.typesafe.ai/v1/systemone",
@EliaAlberti37

jev-rules

Jev picks which of your rules apply to each prompt, so Claude only sees the ones that matter.

Agent toolingJavaScript
typesafe/__init__.py
base_url: str = "https://api.typesafe.ai",
@brainstormity36

Jev-Moderation-Bot

A Discord moderation bot built with Python and TypeSafe AI (Jev System One). It filters spam and scam links in real time, escalates offenses automatically, and lets moderators prof

Guardrails & reviewPython
Sources/JevCore/Decision.swift
var request = URLRequest(url: URL(string: "https://api.typesafe.ai/v1/systemone")!)
@savka77736

jev-use

Say it, and your Mac does it. A computer-use harness on Jev that reads the screen through Accessibility. Fast, no vision model

Browser & computer useSwift
kraayenjon/awesome-jev
@kraayenjon34

awesome-jev

A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast, typed decisions in software — Choice, Score, and Noul with calibrated probabilities.

Lists & resources
scripts/askjev.py
ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@shantanugoel34

ask-jev-skill

Skill for Hermes, and other agents, to ask typesafe's jev

Agent toolingPython
daemon.py
API_URL = "https://api.typesafe.ai/v1/systemone"
@okinaaudio33

live-jev

Control Ableton Live with one short sentence (Japanese / English). Summon with ⌘⇧Space, type or dictate, done.

ApplicationsPython
jev_ultrafast/decision_provider.py
url, default_model, prefix = "https://api.typesafe.ai/v1/systemone", "jev-latest", "TYPESAFE"
@skeptrunedev32

jev-recruiter

A Jev powered LinkedIn recruiting agent. Watch it browse relevant profiles, save links, and review evidence against your hiring brief.

ApplicationsPython
site/src/pages/api/rerank.ts
const res = await fetch("https://api.typesafe.ai/v1/systemone", {
@valentynkit32

awesome-jev-typesafe

Typed decisions with TypeSafe's Jev, the first System One model

Lists & resourcesJavaScript
src/model.ts
import { TypeSafeClient } from "@typesafe-ai/sdk";
@aowang-ai29

jev-trade

Live Jev trader on Hyperliquid

ApplicationsTypeScript
src/jev.rs
Self::Typesafe => "https://api.typesafe.ai/v1/systemone",
@can135729

jegrep

Semantic grep: find code by describing what you're looking for, powered by Jev.

Search & retrievalRust
scripts/exp_external_eval.py
"jev": j_val,
@Heman10x-NGU28

Verdict-open-jev

Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground

Open reproductionsPython
src/jev.rs
endpoint: "https://api.typesafe.ai/v1/systemone".into(),
@devanshbatham26

commit-miner

Classify Git commit diffs and messages with Jev. Bug fixes, security fixes/CWEs, and change types.

Search & retrievalRust
custom_components/jev/config_flow.py
return self.async_create_entry(title="Jev", data={CONF_API_KEY: api_key})
@AboveColin24

HA-Jev

Ask your house a question, get a number back. Home Assistant integration for TypeSafe Jev: typed answers as sensors, four actions for automations, and a conversation agent for Assist.

ApplicationsPython
src/search.ts
import { choice, TypeSafeClient, type Usage } from "@typesafe-ai/sdk";
@ellipsis-dev24

blink

Codebase search powered by Jev from @typesafe-ai

Search & retrievalTypeScript
src/smartmoney_cub_harness/jev/direct.py
base_url: str = "https://api.typesafe.ai",
@myc057624

SmartMoney-Cub

Read-only trading journal and review harness: Jev typed judgments, agent integration, and a reproducible finance benchmark. No orders, no advice.

Benchmarks & researchPython
plugins/jev-desktop/scripts/bridge-client.mjs
const validUrl=url.protocol==='http:' && url.hostname==='127.0.0.1' && /^\d+$/.test(url.port) && url.pathname==='/v1/systemone' && !url.username && !url.passwor
@yikangy873-gif24

jev-desktop

TypeSafe Jev action selection inside Codex Computer Use

Agent toolingJavaScript
jev_voice/brain.py
self.http.get("https://api.typesafe.ai/v1/models")
@kevinbadi23

jev-voice

Talk to your Mac. Local whisper.cpp + one Jev (TypeSafe) call per command + macOS automation.

ApplicationsPython
data/hot.json
"joshmn/typesafe-sdk": {
@yzfly23

awesome-jev-zh

Jev / TypeSafe System One 中文精选列表:官方资料、SDK、爆款应用、Agent 工具、开源复现与独立评测,附中文上手指南,每日自动收录 GitHub 热门项目。

Lists & resourcesHTML
src/jev.mjs
export const API_URL = process.env.JEV_API_URL || "https://api.typesafe.ai/v1/systemone";
@Ying-Kai-Liao22

jev-browser

Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.

Browser & computer useJavaScript
src/config.ts
# baseUrl: https://api.typesafe.ai
@mizchi21

jev-lint

A linter for the things a linter could never check: whether a function does

SDKs & clientsTypeScript
src/litjev/api.py
@app.post("/v1/systemone", response_model=DecisionResponse)
@zhengxuyu21

litjev

Turn any off-the-shelf LLM into a Jev -like decision layer

SDKs & clientsPython
data/posts.json
"text": "**Live Jev findings — 2026-09-18**\n\n89 live calls against `\nhttps://\napi.typesafe.ai/v1/systemone`, model `jev-1.13.0`. Raw data in `data/probe.jso
@mizzlelover20

jev-hub

JEV HUB · X 上关于 TypeSafe AI「系统一模型」Jev 的长文与演示视频聚合(保留原链与作者)| 谁是专家 出品

Lists & resourcesCSS
server.js
* Serves the web app in docs/ and relays POST /v1/systemone to TypeSafe, adding the key from
@choxos19

jev-reviewer

Data extraction for systematic reviews, quoted from the papers. Ask a trial report and its supplements your extraction form or a RoB 2, ROBINS-I, QUADAS-2 or TIDieR template; Jev points at the lines, every answer is a verbatim quote with its page, you check it and export the table. Files stay in your browser.

ApplicationsJavaScript
scripts/common/jev_client.py
"""回傳一個已設定好 key 的 TypeSafeClient;拿不到 key 就直接退出、說清楚為什麼。
@Zaious19

jev-capability-atlas

Independent, evidence-based map of when TypeSafe's Jev actually holds up vs. breaks down — real API-call receipts, not a leaderboard. 中文為主的雙語 repo。

Benchmarks & researchPython
apps/extension/src/agent/vercel-jev.ts
import { createGateway, experimental_evaluate as evaluate, type Experimental_EvaluationQuestion as EvaluationQuestion } from "ai";
@razaanstha18

ulka

Experimental browser agent powered by FX, Jev, and Vercel AI Gateway. Bring your own API key to read pages and automate browser tasks.

Browser & computer useTypeScript
server/index.ts
import { TypeSafeClient, choice } from "@typesafe-ai/sdk";
@sorrycc18

typesafe-snake

Snake auto-played by TypeSafe's Jev model: one System One choice per tick, legal moves and facts generated in code

Games & simulationTypeScript
lib/jev/http.ex
The transport: one POST to `/v1/systemone` per call.
@dannote17

jev

TypeSafe Jev for OTP: reply to Jev from a GenServer and pattern match on its answer

SDKs & clientsElixir
src/jev/transport.ts
TypeSafeClient,
@jomatsu17

pi-jev-auto-mode

Jev (TypeSafe System One) backed auto mode for the Pi coding agent: semantically auto-approves bash, write, and edit tool calls and fails closed when a decision cannot be made.

Agent toolingTypeScript
public_eval_benchmark.py
jev_raw=label['jev'], jev_reported=label['jev_reported'])
@JoshuaSP17

open-jev

Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results

Benchmarks & researchPython
tsai_sc/typesafe.py
API_URL = "https://api.typesafe.ai/v1/systemone"
@phyous17

tsai-sc

TypeSafe Jev controls original StarCraft shareware through keyboard and mouse with recorded action probabilities.

Games & simulationPython
src/routing/jev/remote.ts
*   - api.typesafe.ai (commercial Jev, "System One")
@Das-rebel16

a3m-router

⚡ Adaptive multi-model LLM router — 80+ providers, Jev System One single-pass routing (model=jev-auto), pheromone-trail failover, parallel ensemble merge. npm: adaptive-memory-multi-model-router

InfrastructureTypeScript
lib/racers.mjs
const json = await postJson(fetchImpl, "https://api.typesafe.ai/v1/systemone", key, jevRequest(batch, model));
@goodrahstar16

jev-column-race

Jev vs Gemini 3.8 Flash: labelling 1,000 app reviews, 4.1× faster and 7× cheaper

Benchmarks & researchJavaScript
pyproject.toml
keywords = ["jev", "typesafe-jev", "open-source-jev", "jev-alternative", "system-one", "system-one-model", "llm", "classification", "structured-decisions", "typ
@ikermoel16

open-alternative-jev

Open-source alternative to TypeSafe's Jev: a System One style model layer that gives typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with honest benchmarks

Open reproductionsPython
src/jev.rs
const ENDPOINT: &str = "https://api.typesafe.ai/v1/systemone";
@Eriskii15

ErisLint

Rust linter powered by configurable Jev rules, with a VS Code extension.

Guardrails & reviewRust
src/judge.ts
baseURL: "https://api.typesafe.ai",
@zszz314

Pi-Jev-Guide

原版 Pi Coding Agent 插件:按时机配置规则,并自带风险检查、输出脱敏、重复失败和缺少验证提醒。

Agent toolingTypeScript
src/invalidate/cli.py
from typesafe_sdk import TypeSafeError
@chopratejas13

invalidate

The invalidation layer for AI memory. Every fact gets a lease; new evidence ends it. Built on TypeSafe Jev.

Context engineeringPython
src/jev_client.cpp
static constexpr const char *SYSTEMONE_PATH = "/v1/systemone";
@colliber13

duckdb-jev

DuckDB extension: typed Jev answers as real SQL types

InfrastructureC++
make_report.py
for k, name in [("noul", "Noul (yes/no)"), ("score", "Score (rubric level)"), ("choice", "Choice")]:
@mithalouni13

system-one-open

Open replica of TypeSafe's Jev: typed calibrated decisions in one forward pass, on Gemma 4 E2B / Gemma 3 270M (Modal)

Open reproductionsPython
src/jev_recall/core.py
DEFAULT_BASE_URL = "https://api.typesafe.ai"
@samdotmak13

jev-recall

Retrieve by relevance, not resemblance: filter an AI assistant's memories with TypeSafe's Jev

Context engineeringTypeScript
pipeline/paper_trader.py
TYPESAFE_URL = "https://api.typesafe.ai/v1/systemone"
@zadescoxp13

Jev-Trades

Trading bot with the all new TypeSafe AI's first system one model named as Jev

ApplicationsPython
jon-devlapaz/jev-me
@jon-devlapaz12

jev-me

Grill-me with Jev optional each turn

Lists & resources
src/jgrep/core.py
"typesafe": Backend("typesafe", "https://api.typesafe.ai/v1/systemone", "jev-latest", "TYPESAFE_API_KEY"),
@keltokhy12

jgrep

grep, but the pattern is a description. Filters lines by meaning with TypeSafe's Jev decision model: ~200 ms and a thousandth of a cent per line.

Search & retrievalPython
src/shared/jev.ts
export const JEV_PATH = "/v1/systemone";
@oso9512

x-scanner

Chrome extension that labels every post you scroll past on X with typed Jev judgments and a live cost counter

ApplicationsTypeScript
src/jev_benchmarks/adapters/jev.py
from typesafe_sdk import Choice, TypeSafeClient
@AbdelStark11

jev-benchmarks

Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.

Benchmarks & researchPython
src/engine.rs
endpoint: "https://api.typesafe.ai/v1/systemone".to_string(),
@AkashPriyadarshii11

jev-seo

100% free ₹0 agent-first SEO & GEO CLI suite and MCP server in Rust replacing Semrush and OpenSEO via DuckDuckGo and TypeSafe Jev System One

Agent toolingRust
jev_mcp/__init__.py
logging.getLogger("typesafe_sdk").setLevel(logging.WARNING)
@blakestone-x11

jev-mcp

MCP server for TypeSafe Jev: typed classify, score, check, match and screen for any agent, with confidence on every answer

Agent toolingPython
src/pages/index.astro
keywords: ['Jev', 'TypeSafe AI', 'System One model', 'Jev SDK', 'Jev tools', 'Jev agents', 'open-source AI'],
@heyjunpenn11

awesome-jev

A verified, community-maintained catalog of 433 open-source projects built with Jev.

Lists & resourcesAstro
data/catalog.en.json
"mechanism": "Pinned code builds state from the method, URL, headers and a truncated textual body, then asks one Noul question per route in a single call. The f
@JackZeng11

Jev_apps

看看 Jev 能做什么:用中英文讲清热门应用、工作原理和各自优缺点。Explore Jev apps with plain-language examples, explanations, and comparisons.

Lists & resourcesPython
src/provider.ts
import { type Questions, TypeSafeClient } from "@typesafe-ai/sdk";
@Nasrallah-AL11

jev-cli

Command-line tool for TypeSafe's Jev AI model

SDKs & clientsTypeScript
incremental_pair.py
GROUPS = ('jev', 'llm')
@openroboto-ai11

jev-robot-control

Jev vs GPT-6 Astra vs GPT-4.1 mini: direct Cartesian control of an xArm7 in MuJoCo.

SDKs & clientsPython
src/agents.ts
id: "jev", name: "Jev (TypeSafe AI)",
@whyashthakker11

beam-cli

Monitoring & Safety layer for all your agents. Open Source CLI & Skills for Claude Code, Codex, Cursor, Jev and your preferred agents.

Agent toolingTypeScript
internal/typesafe/client.go
endpoint     = "https://api.typesafe.ai/v1/systemone"
@BorisLeMeec10

jev

A claude code plugin for jev

Agent toolingGo
src/jev_libero/client.py
"typesafe": ("https://api.typesafe.ai/v1/systemone", "jev-latest", "TYPESAFE"),
@Dimweaker10

jev-libero

Fine-grained robot control with Jev, physics previews, and configurable LIBERO tasks.

Games & simulationPython
src/jev-client.ts
const response = await fetch("https://api.typesafe.ai/v1/systemone", {
@huntedman10

JevLint

Configurable semantic linting powered by Jev, with file-level NOUL judgments and a magic-strings plugin.

Guardrails & reviewTypeScript
src/config.rs
/// Defaults to `https://api.typesafe.ai`. Path prefixes are preserved when the
@Twister91510

typesafe-ai

Typed TypeSafe AI clients for Rust, with async and blocking backends and observable retries.

SDKs & clientsRust
src/lib/classify.ts
import { experimental_evaluate, generateObject, type Experimental_EvaluationQuestion } from "ai";
@unicodeveloper10

jevocks

Everyday Stocks Status with Jev

ApplicationsTypeScript
scripts/run_cases.py
ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@altryne9

jevify

An agent skill to discover TypeSafe Jev opportunities, design typed questions, and learn from recent community experiments.

Agent toolingPython
anandi1989/awesome-jev-usecases
@anandi19899

awesome-jev-usecases

Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases: repos, patterns, benchmarks, and measured results

Lists & resources
openvons/lm/api/server.py
# ---------------------------------------------------------------- TypeSafe Jev 互換 (POST /v1/systemone)
@genai-craft9

openvons

openvons (open-Jev): 有限選択肢に確率で答える判断層 — テキスト / 画像 / 日本語音声コマンド

Open reproductionsPython
package.json
"jev",
@imMamdouhaboammar9

fable-jev

⚡ Sub-100ms cognitive reflexes for autonomous coding agents. Powered by TypeSafe AI's Jev & get-fable.

Agent toolingTypeScript
src/config.mjs
id: i ? 'deepseek' : 'jev',
@NanmiCoder9

jev-arena

Jev 模型介绍与实测:通过 Choice / Score / Noul 将自然语言转为带类型的判断与概率,用于分类、评分和路由;支持与 DeepSeek 等模型对比评论打标、速度与结果,含 CSV/Excel 导入、原速回放与离线报告。

Benchmarks & researchJavaScript
src/bash-ast.ts
import { choice } from '@typesafe-ai/sdk';
@rhighs9

jev-code

Interactive TypeScript coding CLI powered by Jev typed decisions and constrained AST generation.

SDKs & clientsTypeScript
jev_hk_predict.py
ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@sosopop9

jev_stock

An experimental JEV-powered framework for forecasting short-term stock price direction from structured market data.

ApplicationsPython
jev.py
from typesafe_sdk import ChoiceAnswer, JSONContent, NoulAnswer, ScoreAnswer, SystemOneResponse
@aaazzam8

jev

Python 3.14. Get an API key from console.typesafe.ai and put it in .env:

SDKs & clientsPython
src/jevcal/providers/typesafe.py
DEFAULT_BASE_URL = "https://api.typesafe.ai"
@abhixhek8

jevcal

Stop guessing confidence thresholds: calibrate, threshold, and drift-check typed decision models (TypeSafe Jev) against an LLM teacher.

Benchmarks & researchPython
benchmarks/bench_framing_weakens.py
"https://api.typesafe.ai/v1/systemone", data=body,
@anpicasso8

hermes-jev-approvals

PoC: TypeSafe Jev as the reviewer for Hermes Agent smart command approvals. 8.7x faster, 4.4x fewer prompts, measured on 153 real commands. Approvals only.

Guardrails & reviewPython
BoundaryML/feelings
@BoundaryML8

feelings

.feels() on anything — the AI if statement as a real, typed method. Jev + BAML.

Lists & resourcesBAML
app/scripts/live-smoke.mjs
const r=await fetch('https://api.typesafe.ai/v1/systemone',{
@cocktailpeanut8

jevthoven

AI Music (MIDI) generator powered by Jev

ApplicationsTypeScript
__init__.py
"base_url": "",            # default https://api.typesafe.ai
@DECRUX98128

typesafe-skill-router

TypeSafe (Jev) skill routing for Hermes Agent: names the one skill worth loading, before the model call. Opt-in, stdlib only, ~$0.001 per routed turn.

Agent toolingPython
src/jev_router/transport.py
_ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@GodsBoy8

jev-agent-skill-router

Typed, confidence-aware agent skill routing with TypeSafe Jev.

Agent toolingPython
hermes_jev/client.py
TYPESAFE_BASE_URL = "https://api.typesafe.ai"
@keeltrace8

hermes-jev

Typed System One decisions, ranking, verification, and an opt-in Hermes tool gate using TypeSafe Jev.

Agent toolingPython
jev_mail/providers/typesafe_direct.py
SYSTEMONE_URL = "https://api.typesafe.ai/v1/systemone"
@parth-kp8

jev-mail-classifier

Classify your inbox with Jev (TypeSafe's System One model) — tag, move, flag, and notify, all config-driven.

ApplicationsPython
client.go
DefaultBaseURL = "https://api.typesafe.ai"
@Tangerg8

typesafe-sdk-go

Go SDK for the TypeSafe AI API — typed questions in, probability distributions out.

SDKs & clientsGo
systemone.go
// SystemOne asks questions about a state via POST /v1/systemone.
@atharvamhaske7

typesafe-sdk-go

unofficial go sdk for typesafe ai

SDKs & clientsGo
baslat.py
'provider': provider, 'base_url': 'https://ai-gateway.vercel.sh/typesafe' if vercel else 'https://api.typesafe.ai',
@fornhere7

hafiza-os

Linux, macOS ve Windows için kaynaklı ikinci beyin. Claude Code, Codex ve Antigravity adaptörleri; yerel Markdown kasa, ayrı hafıza incelemesi, isteğe bağlı Mem0/Jev.

Agent toolingPython
src/schema.ts
* `POST /v1/systemone` の応答のうち、判定に必要な部分だけを検証する。
@jomatsu7

zod-jev

Zod validates the shape. Jev validates the meaning.

SDKs & clientsTypeScript
internal/app/app.go
defaultAPIURL = "https://api.typesafe.ai/v1/systemone"
@kylemclaren7

jevql

Semantic SQL for Postgres, powered by Jev

SDKs & clientsGo
index.ts
import { createGateway, experimental_evaluate as evaluate } from "ai";
@mejiasd3v7

pi-jev-router

Automatic model routing for Pi using TypeSafe's Jev through Vercel AI Gateway

InfrastructureJavaScript
src/model.ts
const result = (await postJson("https://api.typesafe.ai/v1/systemone", key, body)) as {
@romaluev7

jev-ego

Fast browser agent for ego lite. One TypeSafe request per step; an agent or Jev picks the move.

Browser & computer useTypeScript
jev_linkmap/jev.py
MODEL = os.environ.get("JEV_MODEL", "jev-latest")
@stas40007

jev-linkmap

Rebuild a site's internal link map in seconds with Jev, race Claude Opus 5 on the same queue, and let a deep model rewrite the rubric from the disagreements.

ApplicationsHTML
scripts/jev_client.py
ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@win4r7

jev-skill-suggester

用 TypeSafe Jev 推荐已安装 Skill / Bounded installed-skill recommendations with TypeSafe Jev. Python CLI, Codex skill, bilingual docs and live examples.

Agent toolingPython
apps/server/src/jev.ts
TypeSafeClient,
@AbdelStark6

heist-one

Observable browser stealth game: Jev makes typed guard judgments while deterministic code owns the world.

Games & simulationTypeScript
src/jev_rag_benchmark/manifest.py
TRACKED_PACKAGES = ["httpx", "numpy", "pydantic", "PyYAML", "typer", "typesafe-sdk"]
@erendikmenn6

jev-rag-benchmark

Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG

Benchmarks & researchPython
extension/jev.mjs
export const ENDPOINT = 'https://api.typesafe.ai/v1/systemone';
@ethanplusai6

jev-chat-for-twitch

Filter any live Twitch chat with Jev: a bring-your-own-key Chrome extension

ApplicationsJavaScript
agent/lib/judging/judge.ts
import { experimental_evaluate as evaluate } from 'ai';
@frostney6

clean-code-review

Every code file in a pull request, judged against Uncle Bob's Clean Code by TypeSafe's Jev, then reviewed by Luna. Built on eve and Next.js.

Guardrails & reviewTypeScript
hev_rerank/rerank.py
from typesafe_sdk import Noul, RetryPolicy, TypeSafeClient
@hev6

reranker

Use Jev (TypeSafe's System One model) as a calibrated reranker: one call, up to 30 documents, a probability per document. Apache-2.0.

Search & retrievalPython
scripts/example.sh
-X POST https://api.typesafe.ai/v1/systemone \
@inanna-malick6

jev-dsl

Agent-first Haskell DSL for TypeSafe's Jev judgment model: typed packets, inferred types, answers under the same labels

SDKs & clientsHaskell
lib/decide.ts
import { choice, noul, score, type ChoiceResponse, type NoulResponse, type ScoreResponse } from "@typesafe-ai/sdk";
@joevidev6

ui-generator-instinct-jev

Content artifact for a Buivo post about System One models. Working name, pending final brand sign-off.

ApplicationsTypeScript
src/jsort/core.py
"typesafe": Backend("typesafe", "https://api.typesafe.ai/v1/systemone", "jev-latest", "TYPESAFE_API_KEY"),
@keltokhy6

jsort

sort by meaning: order lines along a plain-English dimension, from pairwise comparisons judged by TypeSafe's Jev model

SDKs & clientsPython
lib/jev.mjs
// "~typesafe/jev-latest" always points to the newest Jev. The tilde matters:
@nexibeo6

jev-cookbook

Practical, tested recipes for TypeSafe's Jev decision model on OpenRouter: support triage, database indexing, file organizing, tagging, taxonomies, dedupe, PII detection, extraction, search re-ranking and a browser agent.

Lists & resourcesJavaScript
src/reflex_guard/providers/typesafe.py
DEFAULT_URL = "https://api.typesafe.ai/v1/systemone"
@sharziki6

semdecide

Typed semantic decisions for Unix pipelines and CI, powered by TypeSafe AI Jev.

SDKs & clientsPython
extensions/risk-rules.ts
typesafeBaseUrl: "https://api.typesafe.ai/v1",
@TannerMidd6

specpi-jev-guard

Checks risky shell and file commands before your agent runs them.

Guardrails & reviewJavaScript
src/jev_cli/__init__.py
"endpoint": "https://api.typesafe.ai/v1/systemone",
@tumf6

jev-cli

Small dependency-free CLI for TypeSafe Jev

SDKs & clientsPython
tools/typesafe_query.py
base_url="https://api.typesafe.ai", retry=RetryPolicy(max_retries=1),
@3clyp505

a0-typesafe-ai

TypeSafe AI Jev judgments for Agent Zero, with typed tools and probability cards.

Agent toolingPython
ckaraca/awesome-jev
@ckaraca5

awesome-jev

A curated list of tools, integrations, and experiments built on Jev, TypeSafe AI's System One model for fast, typed decisions.

Lists & resourcesPython
server/jev.ts
const { raw, ms } = await post('https://api.typesafe.ai/v1/systemone', ts, buildPayload(model, text, prev, chapter));
@dani10055

book-aurora

Jev reads a whole novel in seconds. Every passage becomes a row of colour.

ApplicationsTypeScript
server/src/jev.ts
import { choice, noul, TypeSafeClient, type EntryType } from "@typesafe-ai/sdk";
@emrickgarrett5

OneVOneJev

1v1 Jev quickscope arena — Three.js + TypeSafe System One

Games & simulationTypeScript
Frank-ZY-Dou/awesome-jev
@Frank-ZY-Dou5

awesome-jev

Public examples of Jev used for robot control, 3D modeling and adjacent control tasks, with sources and archived media

Lists & resources
jevbench/adapters/__init__.py
* TypeSafe-compatible /v1/systemone (native typed interface).
@fstandhartinger5

jevbench

JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open.

Benchmarks & researchPython
src/types.ts
source: "jev" | "local";
@gamesonrblx5

JevML

Reusable machine-learning primitives for Jev — PCA, MCMC, text diffusion, neural cellular automata, and a task harness that picks the right tool.

SDKs & clientsTypeScript
src/core/request.ts
export const SYSTEM_ONE_URL = "https://api.typesafe.ai/v1/systemone";
@joelhooks5

pi-fast-jev-compaction

Pi extension: verbatim context compaction with TypeSafe Jev decisions

Context engineeringTypeScript
jevbench/medqa_run.py
from typesafe_sdk import Choice, RetryPolicy, TypeSafeClient
@mahlernim5

jev-korean-benchmark

Reproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence

Benchmarks & researchPython
Sources/JevSwiftSDK/Configuration.swift
baseURL: URL = URL(string: "https://api.typesafe.ai")!,
@NSStudent5

JevSwiftSDK

An independent, type-safe Swift SDK for TypeSafe Jev, with async/await, batching, retries, and SPM support.

SDKs & clientsSwift
main.py
import typesafe_sdk
@opaielsheikh5

ai-elo-ranker

High-speed recursive AI Elo tournament engine powered by Jev and Swiss matchmaking

Benchmarks & researchPython
src/jev.js
export const DECISIONS_URL = 'https://api.typesafe.ai/v1/systemone'
@ponyo8775

jev-telop-live

Talk to your camera, and Japanese variety-show captions and manga effects appear on their own, matched to what you are saying.

InfrastructureJavaScript
src/jev.ts
response = await this.fetcher("https://api.typesafe.ai/v1/systemone", {
@Reindeer-AI5

pi-jev-guard

Check Pi code edits against repository Markdown rules with TypeSafe Jev

Guardrails & reviewTypeScript
src/TypeSafe.Sdk/RetryPolicy.cs
/// Retrying is safe for this API: <c>POST /v1/systemone</c> is a stateless evaluation call, and a
@saibimajdi5

typesafeai-dotnet-sdk

Community .NET SDK for the TypeSafe AI System One API — typed noul, choice, and score questions with structured, confidence-scored answers. Not affiliated with TypeSafe AI.

SDKs & clientsC#
src/riff/doctype.py
from typesafe_sdk import AsyncTypeSafeClient, Choice, RetryPolicy, TypeSafeError
@scale-venture-partners5

riff

A small, fast prose linter: ruff-style rule codes for writing, backed by TypeSafe's Jev model

Guardrails & reviewPython
core/src/main/scala/io/github/ticofab/jev/JevConfig.scala
val DefaultBaseUrl: Uri            = Uri(scheme = "https", host = "api.typesafe.ai")
@ticofab5

scala-jev-sdk

Scala SDK for Jev. No effect system bundled.

SDKs & clientsScala
lib/typesafe.mjs
export const TYPESAFE_BASE = process.env.TYPESAFE_API_BASE || "https://api.typesafe.ai";
@trungdq885

jev-tetris

Jev play Tetris in real-time against other AI models

Games & simulationJavaScript
jev_commit/jev.py
DEFAULT_BASE_URL = "https://api.typesafe.ai"
@valentynkit5

jev-commit

pre-commit hook: one Jev call judges whether your commit message matches the diff, plus debug leftovers, scope creep, and a secret belt

Guardrails & reviewPython
src/api.ts
export const ENDPOINT = "https://api.typesafe.ai/v1/systemone";
@y0usaf5

jev-lm

A word-level language model whose output layer is Jev: n-gram drafter, Noul chunk verification, bits-per-token eval

Benchmarks & researchTypeScript
jev_labeler/classifier.py
MODEL = "typesafe/jev-1.13"
@1jehuang4

jev-pr-labeler

Semantic GitHub PR labels using Jev's typed decisions, with conceptual scope instead of line counts

Search & retrievalPython
packages/packs/src/loader.ts
} from "@typesafe-ai/sdk";
@AbdelStark4

bicameral

Hybrid coding harness: System 2 writes, System 1 (Jev) runs reflexes.

Agent toolingTypeScript
Sources/TypeSafe/TypeSafeClient.swift
public static let defaultBaseURL = "https://api.typesafe.ai"
@alterhq4

typesafe-sdk-swift

Unofficial Swift library for the TypeSafe API

SDKs & clientsSwift
src/index.ts
import { TypeSafeClient } from "@typesafe-ai/sdk";
@andrelandgraf4

safer-with-jev

Neon Function proxy for the Neon AI Gateway with TypeSafe Jev routing.

InfrastructureTypeScript
jev_agent.py
self.model = os.environ.get("JEV_MODEL", "typesafe-ai/jev")
@Astro-Han4

jev-harness

A coding agent that filters every tool result through Jev before the model sees it, with an A/B harness measuring pass@1 and cost against the unfiltered control

Benchmarks & researchPython
src/jev.mjs
import { experimental_evaluate as evaluate } from 'ai';
@caiovicentino4

jev-align

Calibrated alignment verifier for LLM responses and agent plans — powered by Jev

Benchmarks & researchJavaScript
HelloJev.java
var request = HttpRequest.newBuilder(URI.create("https://api.typesafe.ai/v1/systemone"))
@danvega4

hello-jev-java

Jev from plain Java 25. No framework, no dependencies, one HTTP call.

SDKs & clientsJava
src/daf_jev/client.py
SYSTEM_ONE_PATH = "/v1/systemone"
@docxology4

daf-jev

daf-jev: composable Python toolkit for TypeSafe's Jev (System One) decision API — question builders, confidence gates, evaluator, calibration, CLI, MCP server, agent skill

SDKs & clientsPython
packages/jev-pref/src/config.js
model: undefined, // undefined = advocaat default (jev-latest / typesafe-ai/jev)
@doeixd4

jev-pref

Turn your AGENTS.md preferences into a fast, Jev-powered AI linter.

Agent toolingJavaScript
plugins/jev-compact/src/jev/types.ts
export const SYSTEM_ONE_URL = 'https://api.typesafe.ai/v1/systemone'
@fatelei4

jev-compact

Jev-scored context compaction for OpenAI Codex CLI — scores every tool call before compaction and restores critical tool outputs verbatim after it

Context engineeringTypeScript
determinest/clients.py
for name,url,key in [('openrouter','https://openrouter.ai/api/v1/models',auth['OPENROUTER_KEY']),('typesafe','https://api.typesafe.ai/v1/models',auth['TYPESAFE_
@gemanor4

jev-code-review-benchmark

Comparing Jev, Gemini Flash, and Claude Fable on Python code review rules: cost, speed, accuracy, and consistency. Includes results, charts, and reproducible experiments.

Benchmarks & researchPython
apps/worker/src/decision.ts
import { choice, noul, TypeSafeClient } from "@typesafe-ai/sdk";
@harshil17124

slidepilot

Voice-driven semantic auto-advance for Slidev, powered by Cloudflare Agents and TypeSafe AI Jev

ApplicationsTypeScript
tests/release-audit.test.js
assert.equal(captured.model, '~typesafe/jev-latest');
@ilyamk4

jev-gmail-ai-spam-filter-and-labeling

Self-hosted AI email classifier for Gmail powered by Jev. Create custom labels, organize your inbox, and filter spam with confidence and cost controls.

ApplicationsJavaScript
jev_ultrafast_mcp/config.py
TYPESAFE_ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@jiawei6864

jev-ultrafast-mcp

Hand the browser work off: an MCP server where a decision model drives the page for your agent, so a flow costs one tool call instead of a turn per click. Ref-based element tables, code-checked assertions, zero-model macro replay. Speaks CDP to your Chrome.

Agent toolingPython
demo/server.mjs
// api.typesafe.ai allows no localhost CORS origins (and keys belong server-side).
@lbotinelly4

jev-little-airways

A show-and-tell capability study for Jev, TypeSafe's System One decision model.

Benchmarks & researchHTML
server/typesafe.ts
try{const response=await fetch('https://api.typesafe.ai/v1/systemone',{method:'POST',signal:controller.signal,headers:{'content-type':'application/json','author
@lukaske4

jev-doom-agent

A browser-native Doom agent experiment with structured spatial state, composable AI controls, live decision telemetry, and a Chocolate Doom WebAssembly runtime.

Games & simulationTypeScript
app/api/chat/route.ts
const response = await fetch('https://api.typesafe.ai/v1/systemone', {
@mkotlikov4

jev-grug

Helping JEV speak <3

ApplicationsTypeScript
src/main.rs
const API_URL: &str = "https://api.typesafe.ai/v1/systemone";
@Peu774

JevFind

Fast semantic code search powered by Jev. Find the relevant files, line ranges, and snippets

Search & retrievalRust
src/jev_auto_mode/cli.py
"--provider", choices=["jev", "haiku", "anthropic"], required=True
@RahulBalakavi4

claude-code-jev

Experimental Jev permission gate for Claude Code via OpenRouter, with reproducible latency and cost benchmarks

Agent toolingPython
src/lib/review.ts
import { choice, noul, score, TypeSafeClient } from "@typesafe-ai/sdk";
@raihankhan-rk4

diffjury

DiffJury — TypeSafe Jev PR risk router + code review coach

Guardrails & reviewTypeScript
src/jev/classifier.ts
import { score, TypeSafeClient } from "@typesafe-ai/sdk";
@rajdhakad98264

jev-router

Cost-aware LLM router that picks the cheapest model capable of handling a query, using TypeSafe's Jev for fast classification instead of an LLM call.

InfrastructureTypeScript
src/providers.ts
const response=await fetch('https://api.typesafe.ai/v1/systemone',{method:'POST',headers:{Authorization:`Bearer ${c.JEV_API_KEY}`,'Content-Type':'application/js
@southpolesteve4

probably

A small programming language for LLM workflows, powered by Jev.

SDKs & clientsTypeScript
jev_studio/cli/provider.py
return (env.get("TYPESAFE_BASE_URL") or "https://api.typesafe.ai").rstrip("/")
@utk21034

jev-studio

if you're experimenting with jev it will be easier from here

Agent toolingPython
src/infrastructure/models/jev.ts
import { choice, TypeSafeClient } from '@typesafe-ai/sdk';
@vinilana4

jev-browser

English Português (Brasil)

Browser & computer useTypeScript
src/cli.ts
--endpoint URL      default https://api.typesafe.ai/v1/systemone
@y0usaf4

typesafe-cli

Ask Jev typed questions from the shell: noul, choice, and score answers as numbers, not prose

SDKs & clientsTypeScript
src/jse/cli.py
"jev": jev[k], "llm": llm[k], "label": None}
@zhuyansen4

jev-search-rerank-eval

Does a TypeSafe Jev rerank beat embedding search? Graded relevance eval (9,831 pairs, 164 zh/en queries) over the Agent Skills Hub catalog, with the judge-circularity bias measured.

Benchmarks & researchPython
src/model/endpoints.ts
process.env.TYPESAFE_BASE_URL ?? "https://api.typesafe.ai",
@0x70673

jev-browse

Browser automation with Jev (TypeSafe) as decision model

Browser & computer useJavaScript
scripts/refresh-jev-research.sh
for u in "https://docs.typesafe.ai/llms.txt" "https://evals.typesafe.ai/" "https://openrouter.ai/typesafe/jev-1.13"; do
@246013

Augustus

Agent skill: design judgment-assisted systems with TypeSafe Jev (System One). Maps Choice/Score/Noul onto decision theory, reranking, and routing. Composition algebra, question design, validation gates. MIT.

Agent toolingPython
client.py
Thin httpx wrapper around POST https://api.typesafe.ai/v1/systemone.
@ajensenwaud3

hermes-jev-plugin

TypeSafe Jev (System One) decision tools for Hermes Agent: jev_check / jev_route / jev_score / jev_evaluate

Agent toolingPython
src/client.rs
endpoint: "https://api.typesafe.ai/v1/systemone".to_string(),
@AkashPriyadarshii3

jev-curate

High-throughput synthetic & pretraining dataset sifter powered by TypeSafe AI Jev (api.typesafe.ai). Stream, filter, and score Parquet & JSONL datasets at 1,500+ rows/sec using System One typed decisions (Choice, Score, Noul).

SDKs & clientsRust
src/confidence.ts
import type { Questions } from "@typesafe-ai/sdk";
@AntonioCoppe3

jev-harness

Decision harness for TypeSafe Jev — confidence gates, shadow mode, recipes, and evals. Claude CLI 48.9s → Jev 1.3s on the same row-filter job.

Benchmarks & researchTypeScript
emulator.py
reply = requests.post("https://api.typesafe.ai/v1/systemone", json=request,
@anxkhn3

JevPlaysPokemon

Jev plays Generation 3 Pokémon via Showdown and a real FireRed ROM.

Games & simulationHTML
server/jev.js
const res = await fetch("https://api.typesafe.ai/v1/systemone", {
@atarikcaliskan3

jevball

22 Jev models, one ball: a 3D football match where every player is its own Jev (TypeSafe AI System One) decision. Watch, or take over the number 9.

Games & simulationJavaScript
packages/judge/src/providers/jev.ts
const baseUrl = options?.baseUrl ?? process.env.TYPESAFE_API_BASE ?? "https://api.typesafe.ai/v1";
@baronunread3

leanest

Local-first test selector using Jev judgments to determine which tests are affected by a code change

Search & retrievalTypeScript
client.go
DefaultBaseURL = "https://api.typesafe.ai"
@Gaurav-Gosain3

jev-go

Go client for TypeSafe's System One API and its model Jev: typed judgments and calibrated probabilities instead of generated text

SDKs & clientsGo
src/blocking.rs
self.send(Method::POST, "/v1/systemone", Some(body), options, |raw| {
@gilljon3

typesafe-ai-rs

Independent async and blocking Rust SDK for the TypeSafe AI System One API

SDKs & clientsRust
src/aside_jev/jev.py
from typesafe_sdk import Choice, TypeSafeClient
@himomohi3

aside-jev

Aside agents decide with TypeSafe Jev (System One: Choice/Score/Noul). Not a Cua binding — Jev is the model, Aside is the browser runtime.

Browser & computer usePython
src/jev_reranker/reranker.py
else env("TYPESAFE_ENDPOINT") or "https://api.typesafe.ai/v1/systemone"
@hotchpotch3

jev-reranker

Jev-powered relevance filtering and reranking for RAG in Python.

Search & retrievalPython
skills/jev-judgment/scripts/jev.py
This is a thin pass-through for ``POST /v1/systemone``. The request body
@HyunjunJeon3

jev-judgment

Agent Skill: send closed coding-agent judgments to TypeSafe Jev

Agent toolingPython
Sources/TypeSafe/Client.swift
public static let defaultBaseURL = URL(string: "https://api.typesafe.ai")!
@InsaneArts3

typesafe-sdk-swift

Swift SDK for TypeSafe AI

SDKs & clientsSwift
src/main/scala/com/jamesward/zio_typesafe_ai/internal/Http.scala
* rooted at `https://api.typesafe.ai` and authed with the bearer token.
@jamesward3

zio-typesafe-ai

A Scala 3 / ZIO library for TypeSafe AI's

SDKs & clientsScala
server.js
import { choice, score, TypeSafeClient } from "@typesafe-ai/sdk";
@JordanDalton3

jev-mermaid

A small local demo where a Mermaid flowchart contains the route rules, Jev supplies typed judgments, and JavaScript follows the matching branches.

SDKs & clientsJavaScript
jtnkminimal/awesome-jev
@jtnkminimal3

awesome-jev

A curated projects built with Jev, TypeSafe's System One model.

Lists & resourcesPython
src/brain.rs
(Text::new("JEV"), TextFont { font_size: FontSize::Px(16.0), ..default() }, TextColor(ACCENT)),
@kmooney3

jamsesh

Midi Jambox with Jev

ApplicationsRust
scripts/race-omp-backends.py
TYPESAFE = os.environ.get("TYPESAFE_BASE_URL", "https://api.typesafe.ai").rstrip("/")
@kvnloo3

z0intelligence

Can we run something like Jev on a 3090 at home?

Open reproductionsPython
server/jev.ts
const ENDPOINT = process.env.TYPESAFE_ENDPOINT ?? 'https://api.typesafe.ai/v1/systemone'
@LamplighterPaul3

jev-piano

Jev cannot generate a single note. Given a piano and the right questions, it improvises anyway.

ApplicationsTypeScript
src/request.ts
export const SYSTEM_ONE_URL = 'https://api.typesafe.ai/v1/systemone';
@leonaaardob3

fast-dev-compaction

Codex plugin: verbatim Jev-guided context restoration around session compaction. Port of tamaratran/fast-jev-compaction to Codex lifecycle hooks.

Agent toolingTypeScript
src/fixtures.ts
import type { Fetch, Questions, SystemOneResult } from "@typesafe-ai/sdk";
@mateonunez3

jod

Semantic schemas over TypeSafe's Jev — validate the state locally, then project typed answers.

SDKs & clientsTypeScript
jev_plays_pokemon/agent.py
from typesafe_sdk import Choice, Noul, RetryPolicy, TypeSafeClient
@milanboers3

jev-plays-pokemon

Playing Pokemon Red using TypeSafe Jev

Games & simulationPython
src/clients.ts
import { TypeSafeClient } from "@typesafe-ai/sdk"
@minhnghia2k33

jev-k8s-awareness

k8s awareness with jev

SDKs & clientsTypeScript
src/jevify/__init__.py
from .schema import Choice, Noul, Question, Score, question_from_dict
@Mintzs3

jevify

An optimized inference engine to turn LLMs into Jev-like machines: optimized for quick, lightweight, and accurate decision-making, classification, and scoring

Open reproductionsPython
scripts/discover.py
# "JEV" is also Japanese encephalitis virus, and "typesafe" is a common word.
@MrJev3

awesome-jev

A curated list of projects, integrations, and resources for Jev, TypeSafe AI's System One model.

Lists & resourcesPython
server.py
DEFAULT_API_URL = "https://api.typesafe.ai/v1/systemone"
@nickthompson4803

typesafe-ai-playground

Community TypeSafe AI playground: 110 use cases, games, dilemmas and model challenges, with editable prompts, A/B comparisons and a mobile-friendly UI.

ApplicationsJavaScript
lib/typesafe_sdk/constants.ex
@default_base_url "https://api.typesafe.ai"
@nshkrdotcom3

typesafe_sdk

An idiomatic, type-safe Elixir port of the official TypeScript AI SDK (ai / ai-sdk) providing unified LLM integrations, streaming text and structured outputs, tool calling, and agentic workflows. Jev is their current flagship model and is the first System One model.

SDKs & clientsElixir
brain/jev_vs/jev_client.py
from typesafe_sdk import AsyncTypeSafeClient, Choice, RetryPolicy
@oldmoldycake3

jev_vampire_survivors

TypeSafe's Jev model plays Vampire Survivors on Steam: BepInEx plugin + Python brain + live decision dashboard. Native Linux only.

Games & simulationPython
src/main/java/io/github/Olti1947/jev/JevClient.java
: (vercelGateway ? GatewayProtocol.DEFAULT_BASE_URL : "https://api.typesafe.ai");
@Olti19473

jev-java

Idiomatic Java SDK for TypeSafe AI Jev System One decision engine

SDKs & clientsJava
cmd/computer-use-jev/main_test.go
} else if r.URL.Host != "api.typesafe.ai" {
@paulsmith3

computer-use-jev

macOS computer use driven by Jev (TypeSafe System One) as the decision maker

Browser & computer useGo
jev_router/deciders.py
TYPESAFE_URL = "https://api.typesafe.ai/v1/systemone"
@prismhq3

jev-router

Open-source LLM router that uses TypeSafe's Jev to pick a model, on top of LiteLLM

InfrastructurePython
src/jev.ts
export const JEV_URL = process.env.CANNY_JEV_URL ?? "https://api.typesafe.ai/v1/systemone";
@qkal3

Canny

Stops AI coding agents from claiming work is done without evidence. Deterministic hooks decide, TypeSafe's Jev advises. Append-only ledger, zero runtime dependencies.

Agent toolingTypeScript
src/lib.ts
return { kind: "connection", message, retryable: true, hint: "Check network access to api.typesafe.ai." };
@rashedInt323

jev-mcp

MCP server exposing TypeSafe Jev as typed, calibrated judgment tools: classify, score, check, batched ask. Ships as a Claude Code plugin.

Agent toolingTypeScript
packages/jevtest/src/batch.ts
import type { ChoiceResponse, EntryType, NoulResponse, Question, Usage } from "@typesafe-ai/sdk";
@realZachi3

jevtest

Semantic test matchers for Vitest and Jest, powered by TypeSafe's Jev model. Write expectations in plain English, get calibrated probabilities back.

SDKs & clientsTypeScript
core/src/lib.rs
const API_URL: &str = "https://api.typesafe.ai/v1/systemone";
@reycn3

smart-switch

Reimagined window switcher for macOS using frontier artificial intelligence. Predicted by TypeSafe's Jev model

ApplicationsSwift
behavior_study.py
req=urllib.request.Request('https://api.typesafe.ai/v1/systemone',data=body,headers={'Authorization':'Bearer '+key,'Content-Type':'application/json','Cache-Cont
@RINNECODER3

jev-behavior-study

Independent Jev 1.13.0 behavior study: report, controlled prompt experiments, raw results, and offline verification.

Benchmarks & researchPython
app/main.py
"app": "jev",
@sabeel1113

OpenSourceJev

Turning an LLM model into a Jev like System.

Open reproductionsPython
SeeAPI/awesome-jev-use-cases
@SeeAPI3

awesome-jev-use-cases

Explore real-world use cases and projects built with TypeSafe AI's Jev: content moderation, AI agents, model routing, and semantic search. Curated by SeeAPI.

Lists & resources
crates/jev-cli/src/cli.rs
help = "API root [default: https://api.typesafe.ai]"
@shaharia-lab3

jev-cli

Interact with "Jev" model from TypeSafe AI

SDKs & clientsRust
src/Settings/Settings.php
'description'       => __( 'TypeSafe API base URL (default https://api.typesafe.ai/v1).', 'ai-provider-for-jev' ),
@soderlind3

ai-provider-for-jev

Connect WordPress to TypeSafe's Jev System One model for structured decisions (choice, score, noul).

SDKs & clientsPHP
client.go
defaultBaseURL     = "https://api.typesafe.ai"
@Stumble3

jev-go

Community Go SDK for TypeSafe AI Jev / System One

SDKs & clientsGo
every/judge.py
API_URL = "https://api.typesafe.ai/v1/systemone"
@sufianetaouil3

every

Ask a yes/no question of every function in a codebase. Ranked answers in seconds, for cents. Grep whose pattern is a question, powered by TypeSafe Jev.

Search & retrievalPython
jev_robotics/common.py
endpoint = "https://api.typesafe.ai/v1/systemone"
@TarunTomar1223

jev-askable-arm

Zero-shot English goals on a sim Franka. Jev chains hardcoded primitives.

Games & simulationPython
core/data/src/main/kotlin/me/ethanxu/jevnoisegate/core/data/settings/AppPreferences.kt
const val DEFAULT_BASE_URL: String = "https://api.typesafe.ai"
@ufec3

jev-block-android-ad

JevNoiseGate filters unwanted notifications and SMS on Android. Rather than matching keywords, an LLM decides what's noise — and only what it explicitly flags is blocked. Verification codes are matched on-device and never uploaded; anything uncertain passes through.

ApplicationsKotlin
lib/jev.ts
baseUrl = "https://api.typesafe.ai",
@valentynkit3

jev-skip

YouTube sponsor skipper that reads the captions and decides at watch time: a probability heatmap on the seek bar, no crowd database

ApplicationsTypeScript
lib/jev.mjs
export const MODEL = 'typesafe/jev-1.13';
@vtrivedy3

jev-plays-games

Chess, Connect Four, and a decision model. Play Jev or watch Jev play itself.

Games & simulationJavaScript
walidboulanouar/awesome-jev-use-cases
@walidboulanouar3

awesome-jev-use-cases

Things built with Jev (TypeSafe), plus patterns, documented limits, and unbuilt ideas

Lists & resources
packages/llama-index-postprocessor-jev/llama_index/postprocessor/jev/openrouter.py
"""OpenRouter Decisions API transport for Jev (not TypeSafe /v1/systemone)."""
@WiktorB20043

llama-index-jev

LlamaIndex reranker + router powered by TypeSafe Jev — typed scores/choices, cheaper than LLM-as-judge.

Search & retrievalPython
scripts/jev_client.py
ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@win4r3

jev-security-scan

使用 TypeSafe Jev 审查 Skill 与 MCP 可疑行为 | Review Agent Skills and MCP code with Jev, static evidence, and explicit coverage gaps

Guardrails & reviewPython
server/__main__.py
if self.path != "/v1/system_one":
@xingwudao3

OpenJev

OpenJev: an independent Jev-inspired System One decision API based on TypeSafe.ai concepts. Choice, score and noul primitives, local mock server, Python and TypeScript SDKs. Real inference planned; not affiliated with TypeSafe AI.

Open reproductionsPython
index.ts
import { choice, noul, score, TypeSafeClient } from "@typesafe-ai/sdk";
@zaferayan3

jev-example

TypeSafe AI'ın karar modeli Jev ile basit, tip güvenli bir örnek. Aynı görevi Claude Opus 5 ile yapan bir karşılaştırma scripti de içerir.

SDKs & clientsTypeScript
slo_router/core.py
"model": "typesafe/jev-1.13",
@zeeshan82813

slo-router

SLO-aware LLM inference router with Jev decisions, live queue metrics, counterfactual evaluation, and reproducible latency/cost benchmarks

InfrastructurePython
app/server.py
from typesafe_sdk import AsyncTypeSafeClient
@0xnairb2

research_desk

TypeSafe Jev demonstration for new analyzation — experimenting with Jev for fast analysis of news and tickers

Benchmarks & researchPython
e2e_test.go
// request example for POST /v1/systemone (api.md:153), and its example
@2389-research2

typesafe-go

A Go client for the TypeSafe System One API — typed judgments and probabilities, zero dependencies outside the standard library.

SDKs & clientsGo
src/lib/risk/jev.ts
process.env.TYPESAFE_ENDPOINT ?? "https://api.typesafe.ai/v1/systemone";
@246012

rh-guard

Reward-hack radar for coding agents: structural denies + TypeSafe Jev System One sidecar for Claude Code & Cursor hooks

Agent toolingTypeScript
jev_mcp_dispatcher.py
from typesafe_sdk import Choice, Noul, TypeSafeClient
@abhishekashokvkumar2

jev-mcp-dispatcher

Natural-language MCP tool dispatcher powered entirely by TypeSafe's Jev — no general-purpose LLM. Discovers a simple MCP server's tool signatures at runtime and uses Jev's typed primitives (Choice/Noul) to pick the right tool and extract its arguments straight out of the sentence.

Agent toolingPython
abubakarsiddik31/wild-jev-builds
@abubakarsiddik312

wild-jev-builds

Wild things people are building with TypeSafe AI's Jev

Lists & resources
AiPersonacademy/Awesome-jev-use
@AiPersonacademy2

Awesome-jev-use

A curated list of awesome Jev / TypeSafe System One applications, libraries, and resources - curated by APA (AIPersona Academy)

Lists & resources
system_one.py
"""System One / "Jev"-style scorer.
@akash-kamat2

system-one-gemma

Open-source Jev-style System One decision model. Gemma 3 270M with a scoring head — fast, calibrated decisions in a single forward pass. No text generation. Inspired by TypeSafe.ai's Jev.

Open reproductionsPython
src/classifier.ts
import { noul, TypeSafeClient, type NoulResponse } from "@typesafe-ai/sdk";
@alexsatch2

omp-auto-mode

Plugin for oh-my-pi that uses Typesafe Jev API to classify tool calls as safe/unsafe/ask

Agent toolingTypeScript
agent/jev_client.py
self.url = "https://api.typesafe.ai/v1/systemone"
@AmoghCreator2

doom-jev

⚡ DOOM-JEV: Autonomous ViZDoom Agent

SDKs & clientsPython
src/decide.ts
import { choice, noul, TypeSafeClient } from '@typesafe-ai/sdk';
@Amrit-Nigam2

jev-royal

An autonomous agent that plays Clash Royale on macOS through the native

SDKs & clientsTypeScript
src/semantic-lint/evaluator.ts
} from "@typesafe-ai/sdk";
@andrueandersoncs2

jev-semantic-linter

A CLI that checks natural-language engineering rules against the current Git

Guardrails & reviewTypeScript
src/jevdroid/providers/http.py
"typesafe": "https://api.typesafe.ai/v1/systemone",
@antiyro2

jevdroid

A typed Python framework for controlling Android over ADB with Jev.

Browser & computer usePython
src/auth.rs
endpoint: "https://api.typesafe.ai/v1/systemone",
@ariel-frischer2

jevkit

Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay

SDKs & clientsRust
siftr/jev.py
* TypeSafe's native API — POST https://api.typesafe.ai/v1/systemone, key
@Bentlybro2

siftr

Fast, cheap judgment for AI coding agents: semantic search, focused reads and list picking in ~2s. CLI + MCP server on TypeSafe Jev. Benchmarked on SWE-bench.

Search & retrievalPython
src/jevgpt/sampler.py
API_URL = "https://api.typesafe.ai/v1/systemone"
@Bewinxed2

jevgpt

A chatbot built on a model that cannot generate text (TypeSafe AI's Jev, driven autoregressively)

ApplicationsTypeScript
__init__.py
_TOOLSET = "jev"
@bojansandhaus2

jev-decisions

Jev Decisions Plugin for Hermes (and other AI Agents): tool risk reviews, human approval recommendations, evidence checks, and a local decision journal.

Agent toolingPython
src/jevonly/core/jev.py
API_HOST = "api.typesafe.ai"
@buluoray2

JevOnly

Pure Jev that can "type" and drive towards task completion.

Browser & computer usePython
config/jev.php
'base_url' => env('TYPESAFE_BASE_URL', 'https://api.typesafe.ai'),
@Butochnikov2

laravel-typesafe-jev

Unofficial Laravel integration for TypeSafe Jev AI with typed responses, async requests, scoped dependency injection, and testing fakes.

SDKs & clientsPHP
src/verify.mjs
import { experimental_evaluate as evaluate } from 'ai';
@caiovicentino2

jev-shield

Semantic MCP firewall powered by Jev — screens every tool call, tool result, and tool description with calibrated System One verification. 94% block recall, 0 false positives, ~$0.00002/check.

Guardrails & reviewJavaScript
pkg/evaluator/typesafe.go
DefaultBaseURL = "https://api.typesafe.ai/v1/systemone"
@ClemensSchartmueller2

jev-guard

High-speed, cross-agent safety gate plugin for Claude Code, Codex CLI, and Antigravity.

Guardrails & reviewGo
packages/js/src/client.ts
export const DEFAULT_ENDPOINT = 'https://api.typesafe.ai/v1/systemone';
@cobusgreyling2

Jev

Unofficial TypeSafe Jev showcase — System One decisions, not chat.

Lists & resourcesPython
jev_llm.py
API = "https://api.typesafe.ai/v1/systemone"
@Code-Forge-AU2

jev-llm

TypeSafe's Jev is a decision model: it takes state and typed questions and returns calibrated

SDKs & clientsPython
src/blocking.rs
/// Sends `state` and `questions` to `POST /v1/systemone` with client defaults. Returns decoded answers.
@codeitlikemiley2

typesafe-sdk-rust

Rust SDK for the TypeSafe AI API

SDKs & clientsRust
client.go
DefaultBaseURL = "https://api.typesafe.ai"
@cole-gillespie2

typesafe-go

unofficial go SDK for typesafe AI, with typed answers, retries, and context support

SDKs & clientsGo
jev-builder-core.js
export const API_URL = "https://api.typesafe.ai/v1/systemone";
@collapseindex2

jev-builder

A browser form for building requests to TypeSafe's Jev: pick a template, fill in the blanks, copy the request. No JSON, no install, runs locally.

ApplicationsJavaScript
src/jev.ts
import type { EntryType, NoulQuestion as SdkNoulQuestion, Usage } from '@typesafe-ai/sdk';
@CrowdLinker2

JevPromptCoach

Claude Code plugin that scores how well you prompt a coding agent, and shows whether your habits are improving. Runs on TypeSafe's Jev model. Zero added latency.

Agent toolingTypeScript
src/jev_mode/client.py
DEFAULT_ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@ddfeyes2

jev-mode

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'd it: 78% fewer tokens, 16x less work-attributable input, accuracy 96.1% vs 93.7%. Python, no deps, MIT.

Agent toolingPython
scripts/verify-live.js
import { choice, noul } from '@typesafe-ai/sdk';
@Dimesio2

typesafe-chess

FUn little experiment with Typesafe AI Jev Model playing chess against stockfish :)

Games & simulationJavaScript
src/jev/questions.ts
* Typed question specs in the wire shape of `POST /v1/systemone` (PLAN.md §2.2).
@DiscreteTom2

jev-sts2

Play Slay the Spire 2 with Jev (TypeSafe System One).

SDKs & clientsTypeScript
src/rag_jev/cli.py
from typesafe_sdk import TypeSafeError
@EmreKaplaner2

rag-jev

Make room for useful evidence. Inspectable context selection for RAG, with Jev reranking and open benchmark studies.

Benchmarks & researchPython
jev2048/model.py
API_URL = "https://api.typesafe.ai/v1/systemone"
@erhanmeydan2

jev2048

TypeSafe'in Jev karar modeli gerçek bir online 2048 sitesinde oynuyor — hamle başına tek API çağrısı, tek anahtar.

Games & simulationPython
src/embodied_jev/policies.py
return {"url": "https://api.typesafe.ai/v1/systemone", "key": os.getenv("TYPESAFE_API_KEY", ""), "model": os.getenv("TYPESAFE_MODEL", "jev-latest")}
@FBddcz2

embodied-jev

EmbodiedJev: MuJoCo robot decision workbench with MiniCPM5-2B, Jev and compatible model APIs

Games & simulationPython
plugins/tasks/typesafe/1.0.0/plugin.js
//   POST /v1/systemone  {model, state, questions}  ->  {model, answers, usage}
@FFatTiger2

new-api-plugin-typesafe

TypeSafe AI System One (Jev) task plugin for QuantumNous/new-api — native /v1/systemone, synchronous evaluation, token billing

Agent toolingJavaScript
client.go
DefaultBaseURL = "https://api.typesafe.ai"
@fgn2

jevgo

Go client for TypeSafe AI's System One API (Jev), with optional Langfuse instrumentation

SDKs & clientsGo
prompter.js
typesafe: { name: 'TypeSafe', url: 'https://api.typesafe.ai/v1/systemone', model: 'jev-1.13.0' },
@finetuningsingh2

intelliprompter

A teleprompter of talking points that checks each one off as you cover it, using TypeSafe's Jev Score questions

ApplicationsHTML
generate.py
URL = "https://api.typesafe.ai/v1/systemone"
@florian-hoenicke2

jev-gpt

Text generation with jev: one typed question per word

ApplicationsPython
jev.py
POST https://api.typesafe.ai/v1/systemone
@Foadsf2

jev-for-engineers

Eight minimal working examples of TypeSafe's Jev (a System One model) applied to mechanical and electrical engineering: CAD/CAE/CAM routing, FEM result triage, DFM screening, BOM alignment, hallucination-proof extraction. Zero dependencies.

Lists & resourcesPython
internal/bench/run.go
// Probability is the Noul answer: how likely Jev thinks the positive is.
@Gaurav-Gosain2

jev-sec-bench

Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go

Benchmarks & researchGo
lib/typesafe/rails/client.rb
"jev" => { input_per_mtok: 0.042, output_per_mtok: 0.0 },
@GenieRobot2

typesafe-ai-rails

Community Rails integration for TypeSafe AI's System One API, built on the

SDKs & clientsRuby
jev_client.py
request = Request('https://api.typesafe.ai/v1/systemone',
@gholtzap2

jev-codex-model-and-effort-router

Copy and paste this into your coding agent:

Agent toolingPython
src/cli.ts
TYPESAFE_BASE_URL           Jev API root (default https://api.typesafe.ai)
@godspede2

construct-auto-classifier

Effect-based safety gate for AI coding agents' shell commands (OpenCode, Antigravity): fast structural rules, then TypeSafe's Jev or a chat model judges what a command does. Certified with Jev at zero dangerous commands allowed.

Guardrails & reviewTypeScript
cv-screen/src/cli.ts
`Request is what the app POSTs to https://api.typesafe.ai/v1/systemone\n` +
@gtaras72

typesafe-jev

Screen a folder of CVs with the TypeSafe Jev decision model: typed judgments, an editable policy, free re-scoring.

ApplicationsTypeScript
jev-typesafe/src/main/java/io/github/gudcks0305/jev/typesafe/TypeSafeJevClient.java
/** TypeSafe's public /v1/systemone API. Thread safe; reuse a client across requests. */
@gudcks03052

jev-java

Unofficial Java SDK for TypeSafe Jev and Vercel AI Gateway, with Spring Boot and WebClient support

SDKs & clientsJava
src/index.ts
export { choice, noul, score } from "@typesafe-ai/sdk";
@hamakyo2

jev-starter

Typed, policy-driven decision workflows on top of TypeSafe AI Jev: confidence routing, fallbacks, evaluation, and RAG patterns for TypeScript apps.

SDKs & clientsTypeScript
src/TypeSafeAI/TypeSafeClient.cs
_systemOneUri = _pipeline.Resolve("/v1/systemone");
@Hawxy2

TypeSafeAI.Net

.NET SDK for the TypeSafe AI platform

SDKs & clientsC#
src/core/jevClient.ts
TypeSafeClient,
@ibrahemid2

git-jev-stage

Select Git changes for staging with a plain-language description.

Agent toolingTypeScript
src/jev_wire.rs
//! `serde` shapes for `POST /v1/systemone` — no HTTP calls yet.
@iJ03l2

jear

Jev-routed client for NEAR AI Cloud inference and IronClaw agents.

SDKs & clientsRust
src/client.ts
/** Defaults to `~typesafe/jev-latest`. */
@ingebyd2

fast-jev-compaction-openrouter

Fork of tamaratran/fast-jev-compaction: Jev via OpenRouter with zero data retention (zdr, data_collection: deny)

Agent toolingTypeScript
source/providers.js
typesafe:Object.freeze({id:'typesafe',label:'TypeSafe',endpoint:'https://api.typesafe.ai/v1/systemone',modelsEndpoint:'https://api.typesafe.ai/v1/models',envKey
@JacquesGariepy2

ORIGIN-CIVILIZATION

AI life-and-civilization simulation: TypeSafe Jev makes every decision (typed, probabilistic, auditable); LLMs plan — OpenAI-compatible APIs, local models (Ollama, LM Studio), Claude Code, Codex.

Games & simulationHTML
background/background.js
const API_URL = "https://api.typesafe.ai/v1/systemone";
@jaibhasin2

jev-yt-time-saver

A Chrome extension that covers distracting YouTube videos with Jev. Show anyway whenever you want.

ApplicationsJavaScript
apps/shogi-server/src/jev.ts
import { choice, TypeSafeClient } from '@typesafe-ai/sdk';
@jammaru2

jev-lab

100 AI NPCs live in a tiny town. Jev chooses the next action; the world writes the story.

Games & simulationTypeScript
src/pydantic_jev/compiler.py
from typesafe_sdk import Choice, Noul, Question, Score
@jb21972

pydantic-jev

A thin shim between Pydantic and Jev.

SDKs & clientsPython
src/trade_jev/policies.py
from typesafe_sdk import AsyncTypeSafeClient, Choice
@justinhe162

trade-jev

Backtest Jev (TypeSafe) as a BUY/SELL/HOLD trader on NQ L10 order-book data

Benchmarks & researchPython
_shared/jev_provider.py
assert cfg.name == "typesafe" and cfg.base_url.startswith("https://api.typesafe.ai"), cfg
@Justmalhar2

awesome-jev-apps

Awesome Collection of apps built with Jev - a System One model

Lists & resourcesPython
extensions/fast-jev-core.ts
export const SYSTEM_ONE_URL = "https://api.typesafe.ai/v1/systemone";
@KamilPostrozny2

pi-fast-jev-compaction

Fast JEV compaction extension for pi

Context engineeringTypeScript
src/model.ts
const TYPESAFE_URL = "https://api.typesafe.ai/v1/systemone";
@kbitgood2

jev-cdp

A small Jev-powered bridge to Chrome through the Chrome DevTools Protocol.

Browser & computer useTypeScript
src/jev.ts
const ENDPOINT = "https://api.typesafe.ai/v1/systemone";
@kevinpita2

pi-jev-context

Reversible context pruning for Pi, powered by TypeSafe Jev. Keep useful context without deleting session history.

Context engineeringTypeScript
src/config.rs
pub const DEFAULT_API_URL: &str = "https://api.typesafe.ai";
@kindintelligence2

jev-rust-review

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

Agent toolingRust
src/scorer/jev.ts
import { APIError, AuthenticationError, TypeSafeClient, choice, noul, score } from "@typesafe-ai/sdk";
@Kushwho2

jev-codes

Audit your git diff against YAML coding-standards packs using TypeSafe's Jev model, from a CLI or your AI agent's command/skill.

SDKs & clientsTypeScript
jev_search.py
'typesafe': ('https://api.typesafe.ai/v1/systemone', 'jev-1.13.0')}
@larguesa2

jev-search

Experimental semantic line search with TypeSafe Jev via OpenRouter. Python CLI with no runtime dependencies.

Search & retrievalPython
jev.py
API_HOST = "api.typesafe.ai"
@lavallee2

mk-jev-fly-brain

A maleCNS fly-brain connectome fights a language model in mk.js — spiking simulation, dopamine learning, and the controls that say what each side contributes

Games & simulationJavaScript
benchmarks/build_every.py
"adaptation": "Native Noul replaced with binary Yes/No Choice; state/question unchanged",
@leesk2122

JEV-CPU

Run SemIf (Jev-style semantic-if decisions) on a CPU — no GPU. Reads typed option probabilities straight from an open model in one forward pass, plus a web UI.

Open reproductionsPython
agent/primitives.py
from typesafe_sdk import Choice, Noul, Score, TypeSafeClient, TypeSafeAPIError
@lhemerly2

mcts-agent

Discriminative Monte Carlo Tree Search using TypeSafe Jev System One Primitives and Gemini

Agent toolingPython
src/skill_router/questions.py
from typesafe_sdk import Choice, Noul
@lomeshdutta2

skill-router

Tell Claude Code which installed skill a session needs, using Jev (TypeSafe AI) for the decision and skills.sh for discovery.

Agent toolingPython
app/classifier.py
SYSTEM_ONE_ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@maker-KK2

todo-jev

⚡ Ultra-fast, low-cost intelligent task classifier and 3-tier routing engine powered by TypeSafe Jev (System One)

ApplicationsPython
src/lib/typesafe.js
// a same-origin path that the host forwards untouched to api.typesafe.ai — a
@MarissaFamularo2

citation-verifier

Check whether each cited paper supports the sentence citing it. Claude proves the quote, TypeSafe's Jev scores it, a human decides.

ApplicationsJavaScript
server.py
TYPESAFE_URL = "https://api.typesafe.ai/v1/systemone"
@masa-med-ai2

typesafe-screening-mcp

MCP server: screen PubMed titles/abstracts against a query or clinical question with TypeSafe Jev

Agent toolingPython
jev.c
#define JEV_DEFAULT_URL "https://api.typesafe.ai/v1/systemone"
@mattn2

sqlite3-jev

SQLite extension that calls TypeSafe Jev (or tensai serve) from SQL

SDKs & clientsC
src/jev-adapter.ts
const ORIGIN = "https://api.typesafe.ai";
@miniLV2

Jev-Auto-Router

Codex 可恢复委派:Capsule → Jev 选路 → Policy Guard(仅 ALLOW/DENY)→ Root 验收。自动委派默认关闭。Recoverable Codex delegation via Jev + Policy Guard; Root keeps acceptance.

Agent toolingTypeScript
src/jev.ts
export const JEV_ENDPOINT = 'https://api.typesafe.ai/v1/systemone';
@MongLong02142

jev-gate

Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary.

Agent toolingTypeScript
test_credentials.py
with patch('jevseek.models.OpenAI') as ds, patch('jevseek.models.TypeSafeClient') as jev:
@morcoan2

JevSeek

A local coding workspace pairing Jev action routing with DeepSeek argument generation. Native tools, persistent sessions, React desktop, and documented research.

Agent toolingPython
src/jev.ts
transport: 'typesafe', endpoint: 'https://api.typesafe.ai/v1/systemone',
@Mrlyk2

jev-browser

Browser automation CLI for AI agents, powered by the Jev model's millisecond decisions and near-zero inference costs

Browser & computer useRust
src/common/settings.js
// except in the Authorization header of a request to api.typesafe.ai.
@muhammedilyasy2

jev-mail

Chrome extension that triages Gmail with TypeSafe's Jev model: category, priority, spam % and reply % on every email.

ApplicationsJavaScript
src/Jev.php
public const DEFAULT_BASE_URL = 'https://api.typesafe.ai/v1';
@mzainzulifqar2

jev-php-sdk

PHP SDK for TypeSafe's Jev: send text and typed questions, get typed answers with calibrated confidence. PHP 8.1+, works with any PSR-18 client, Laravel 8–13.

SDKs & clientsPHP
src/jev_frontend_qa/core/model_client.py
Calls the real ``https://api.typesafe.ai/v1/systemone`` endpoint. The
@Nainish-Rai2

jev-frontend-qa

Evidence-driven frontend QA built on Jev Ultrafast and Browser Harness, with a synthetic todo demo.

Benchmarks & researchPython
src/server/aiUnifier.ts
import { choice, noul, type Questions, type SystemOneRequest, type SystemOneResult } from "@typesafe-ai/sdk";
@narphorium2

nl-logic-interpreter

A step-through logic interpreter for natural-language facts and rules, unified with Jev

SDKs & clientsTypeScript
src/gate.ts
import { experimental_evaluate as evaluate } from 'ai';
@NicolasMontone2

jev-tool-permissions

Jev-backed tool approval gate and tool-list pruning for the Vercel AI SDK

Agent toolingTypeScript
src/jev.ts
const TYPESAFE_URL = "https://api.typesafe.ai/v1/systemone";
@Nyarlathoteppppp2

pi-jev-context

Cache-neutral context trimming for the pi coding agent, powered by TypeSafe Jev: long tool output cut to verbatim key lines before it enters context, with lossless recall. Measured, with pre-registered benchmarks.

Context engineeringTypeScript
run.py
d, wall, srv = post("api.typesafe.ai", "/v1/systemone", os.environ["TYPESAFE_API_KEY"], {"model": "jev-1.13.0", "state": state, "questions": questions})
@OmarMujahid2

jev-decision-bench

An independent benchmark of TypeSafe's Jev, a model that does not write text. You send it some content and a list of typed questions (yes/no, pick one option, rate on a scale) and

Benchmarks & researchPython
lib/typesafe.ts
import { choice, TypeSafeClient } from "@typesafeai/sdk";
@opaielsheikh2

typesafe-migration-guard

Automated database migration safety reviewer powered by TypeSafe AI (Jev System One model)

Guardrails & reviewTypeScript
oxwen11/awesome-jev
@oxwen112

awesome-jev

A curated list of what people built with Jev

Lists & resources
src/jev_model_router/config.py
jev_model: str = "jev-latest"
@Pinutss2

jev-model-router

Route among multiple LLMs and multi-model provider keys without leaking secrets.

InfrastructurePython
src/run.rs
use jev_sdk::{Choice, Noul, NoulCriteria, Question, Score, TypeSafeClient};
@portlandhodl2

jev-cli

An agent-facing command line for Jev,

SDKs & clientsRust
typesafe-sdk/src/main/java/io/github/premocloud/typesafe/TypeSafeClient.java
public static final String DEFAULT_BASE_URL = "https://api.typesafe.ai";
@Premo-Cloud2

typesafe-sdk-java

Community Java client for the TypeSafe System One API (unofficial)

SDKs & clientsJava
index.ts
baseUrl: "https://api.typesafe.ai/v1/systemone",
@QuentinDanblon2

pi-fast-jev-compaction

Verbatim context pruning for the pi coding agent, scored by TypeSafe Jev: stale tool calls and results are dropped or truncated, everything kept stays verbatim.

Context engineeringTypeScript
vgi_typesafe/auth.py
DEFAULT_BASE_URL = "https://api.typesafe.ai"
@Query-farm2

vgi-typesafe

A VGI worker exposing TypeSafe System One questions (choice, noul, score) to DuckDB/SQL as LATERAL-joinable table functions

InfrastructurePython
lib/server/jev.ts
import { choice, type EntryType, TypeSafeClient } from "@typesafe-ai/sdk";
@raihankhan-rk2

jevarena

JevArena — two Jev agents duel in click-only browser games (Browser Use + TypeSafe Jev)

Games & simulationTypeScript
src/index.ts
import { experimental_evaluate as evaluate } from 'ai';
@reachjalil2

jev-tree

Recursive Jev choice over a taxonomy. Select from more than 255 options without breaking TypeSafe Jev's choice cap.

SDKs & clientsTypeScript
src/index.ts
SystemOneResult,
@receptron2

laya

Run Laya, the open-source Jev-compatible System-1 decision model, from Node.js / TypeScript via ONNX Runtime

SDKs & clientsTypeScript
cvss31_jev.py
API_URL = "https://api.typesafe.ai/v1/systemone"
@Red5d2

jev-cvss

Fast CVSS scoring from vulnerability descriptions using Typesafe Jev

SDKs & clientsPython
src/jev_triage/client.py
Real mode: uses the official ``typesafe_sdk`` (``pip install jev-triage[jev]``),
@rexbuilds2

jev-triage

Triage for deep-research agents. Score N search results in one parallel TypeSafe Jev call, so the frontier model only reads what is worth reading.

SDKs & clientsPython
packages/dsh-plugin/src/agent/jev-client.ts
export const JEV_MODEL = '~typesafe/jev-latest'
@rottenpen2

agent-stardew

星露谷农场小助手:Jev 自主游玩、dsh 插件、独立 CLI 与 SMAPI Mod

Agent toolingTypeScript
src/providers/typesafe.ts
endpoint: options.endpoint ?? "https://api.typesafe.ai/v1/systemone",
@sameerkhan242

decidekit

Typed, confidence-aware AI decisions for TypeScript and Python with Jev, OpenRouter, safe fallbacks, and per-call cost tracking.

SDKs & clientsTypeScript
samtay32/jev-system-architect
@samtay322

jev-system-architect

System-architecture skill for TypeSafe AI Jev/System One — find fuzzy semantic judgment and turn it into small Choice/Score/Noul primitives.

Lists & resources
jevlab/client.py
api.typesafe.ai; the CLI, the verifier and the lab harness all go through it.
@SamuelSacco2

jev-exploration

Jev (TypeSafe) exploratory thread: claim audit, live demos, and runnable code

Benchmarks & researchPython
scripts/jev_eval.mjs
import { experimental_evaluate as evaluate } from 'ai';
@scienthoon2

jev-ood-calibration

Independent calibration test of TypeSafe's Jev on a task it cannot have seen: 900 rule-generated support tickets (choice / score / boolean) plus 3 public benchmarks via Vercel AI Gateway. Raw responses, ECE with noise floor, temperature refit, per-type sign of miscalibration. Reproducible for ~$0.06.

Benchmarks & researchPython
lib/features/capture/data/datasources/jev_remote_datasource.dart
/// TypeSafe Jev (`POST /v1/systemone`). Only transcript text and group
@sgaabdu42

capture

Private Mac voice diary: local Parakeet transcription, Jev sorting, Notion library

ApplicationsDart
extensions/curator-jev/config.ts
export const DEFAULT_BASE_URL = "https://api.typesafe.ai";
@Shashank-H2

pi-jev-context-curator

A Jev based context curator for pi

Context engineeringTypeScript
src/config.mjs
baseUrl: "https://api.typesafe.ai/v1",
@ShivamPansuriya2

jev-skill-gate

Cut Claude Code's skill manifest by ~75% with TypeSafe Jev. Scores every installed skill for relevance and hides the rest via skillOverrides — 12,750 → 3,185 tokens on a 217-skill install, for $0.0009 a session.

Agent toolingJavaScript
src/jev_oas_sentinel/jev.py
DEFAULT_ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@ShuhanSun2

jev-oas-sentinel

Catch breaking API behavior hidden in OpenAPI prose with deterministic checks and TypeSafe JEV System One semantic review.

Guardrails & reviewPython
lib/redmine_jev.rb
DEFAULT_MODEL = 'jev-latest'
@shunshunNi2

redmine_jev

Asks Jev whether a Redmine issue's tracker fits, while you fill in the form

ApplicationsRuby
src/atlas_jev/gate.py
from typesafe_sdk import Choice, Noul, NoulCriteria
@sidmanale6432

atlas-jev

atlas-jev is a local memory store. You give it text. An OpenRouter chat model extracts memories worth keeping, and those memories are stored on disk in LanceDB. You can search them

SDKs & clientsPython
extension/background.js
const response = await fetch('https://api.typesafe.ai/v1/systemone', {method:'POST', headers:{Authorization:`Bearer ${s.apiKey}`, 'Content-Type':'application/js
@sriganesh2

jevibe-check

A live tone labeler for Bluesky posts and drafts, using TypeSafe's Jev API.

ApplicationsJavaScript
src/components/Playground.tsx
const curlCmd = `curl -i -X POST https://api.typesafe.ai/v1/systemone \\
@sysadarsh2

zerosweep

Autonomous System-One Triage Engine & Benchmark powered by TypeSafe AI (Jev). 75ms inference, $0 output tokens, and RLCD epistemic safety gates.

Benchmarks & researchTypeScript
lib/jev.ts
//   1. TYPESAFE_API_KEY   -> POST https://api.typesafe.ai/v1/systemone (first party)
@TenzinDhonyoe2

bev

Bev: the slowest classifier in the world, at Jev prices. npx bev-ai

ApplicationsTypeScript
wince/core/questions.py
from typesafe_sdk import Choice, Noul, RetryPolicy, Score, TypeSafeClient
@TinyFrontier2

wince

Routes human review attention: green/yellow/red for a diff and who should look. It doesn't review the code. Built on TypeSafe.

Guardrails & reviewPython
src/jev.ts
export const SYSTEM_ONE_URL = "https://api.typesafe.ai/v1/systemone";
@tvdavies2

pi-fast-compaction

Fast compaction for Pi: Jev-scored verbatim eviction of stale tool history, with LLM summarisation of the evicted transcript as the fallback.

Context engineeringTypeScript
lib/jevClient.ts
*   POST https://api.typesafe.ai/v1/systemone
@TypeSafeAI2

clarity-judge

Multi-axis writing quality checker powered by TypeSafe AI's Jev model. Separate named checks, each with its own verdict and confidence.

ApplicationsTypeScript
apps/web/components/demos.tsx
{ value: "jev-latest", label: "jev-latest" },
@TypeSafeAI2

typesafe-ui

shadcn-style reusable components and blocks for using TypeSafe AI.

SDKs & clientsTypeScript
src/jpp/policy.py
DEFAULT_BASE_URL = "https://api.typesafe.ai"
@valentynkit2

jev-plays-pokemon-red

Pokemon Red on PyBoy: code owns the route and the arithmetic, Jev picks at branches in about 100 ms, calibration measured instead of assumed

Games & simulationPython
tools/proxy.js
const up = await fetch(upstream.replace(/\/+$/, "") + "/v1/systemone", {
@valentynkit2

jev.nvim

Neovim: ask the buffer a question, get a quickfix list. Treesitter splits functions, Jev scores each one, probabilities land as virtual text

ApplicationsLua
stop_verify.py
API = "https://api.typesafe.ai/v1/systemone"
@VladyslavHontar2

clear-head

Claude Code Stop hook that checks an AI assistant's claims against what it actually read this session, using TypeSafe's Jev as the judge

Agent toolingPython
src/background/typesafe.ts
const TYPESAFE_API_URL = 'https://api.typesafe.ai/v1/systemone';
@vmendes902

jev-shield

Privacy-first Chrome extension that semantically blocks native ads, sponsored feed cards, and video ads using TypeSafe Jev

ApplicationsTypeScript
src/experiment-jev.ts
import { choice, TypeSafeClient, type JsonValue } from "@typesafe-ai/sdk";
@WebGrga2

btc-jev-signal

Experimental multi-horizon BTC signal generator using TypeSafe Jev probabilities and Binance market data.

ApplicationsTypeScript
jevchess/experiments.py
from typesafe_sdk import Choice, Noul, Score
@wondertwins2

jev-benchmark

Benchmarks and a playground for TypeSafe's Jev (System One) model: chess, and who-is-the-player-talking-to for speech-to-text game NPCs

Benchmarks & researchPython
bin/index.js
const API_ENDPOINT = process.env.TYPESAFE_ENDPOINT || "https://api.typesafe.ai/v1/systemone";
@y9Finsi2

jev-mcp

Universal Model Context Protocol (MCP) Server for TypeSafe Jev (System One) semantic code search and validation.

Agent toolingJavaScript
src/pricing.ts
.parse(models.data.find((item) => item.id === "typesafe-ai/jev"));
@zdenham2

jev-lint

Lint JavaScript and TypeScript against plain-English project conventions with Jev.

Guardrails & reviewTypeScript
src/jnc/prior.py
MODEL = "~typesafe/jev-latest"
@zhuyansen2

jev-news-cold-start

Cross-domain check on MIND news: a zero-shot Jev headline prior is worth ~500 labelled articles, adds +0.069 ρ as features, and lifts a Thompson-sampling cold start by 25%.

Benchmarks & researchPython
src/jev/request.ts
export const SYSTEM_ONE_URL = "https://api.typesafe.ai/v1/systemone";
@019ec6e21

pi-jev-compact

Verbatim context compaction for pi, powered by the TypeSafe Jev model.

SDKs & clientsTypeScript
scripts/validate_repo.py
server = mcp.get("mcpServers", {}).get("jev", {})
@2023Anita1

codex-jev-assistant

Codex Plugin with typed Jev judgments for risk review, evidence checks, context screening, and reranking.

Agent toolingPython
evaljev/runners.py
JEV_URL = "https://api.typesafe.ai/v1/systemone"
@4esv1

jev-eval

Benchmark TypeSafe Jev against any OpenRouter model on your own labelled classification data: accuracy, calibration, latency, cost

Benchmarks & researchPython
play.py
JEV_URL = "https://api.typesafe.ai/v1/systemone"
@4esv1

jev-mario

TypeSafe Jev plays Super Mario Bros from a text description of emulator RAM

Games & simulationPython
src/config.ts
import { choice, score } from "@typesafe-ai/sdk";
@aaronshaf1

opencode-jev-orchestrator

Keeps OpenCode on a cheap sticky model for warm cache; Jev escalates hard turns to stronger subagents.

Agent toolingTypeScript
src/constants.rs
pub const DEFAULT_BASE_URL: &str = "https://api.typesafe.ai";
@abeldzan1

jev-rs

Async-first Rust SDK for the TypeSafe AI API

SDKs & clientsRust
jevclient/const.py
DEFAULT_BASE_URL: Final = "https://api.typesafe.ai"
@AboveColin1

jevclient

Async Python client for TypeSafe Jev. Typed questions in, probabilities and choices out, no prose to parse.

SDKs & clientsPython
packages/server/src/handler.ts
import { experimental_evaluate as evaluate } from 'ai';
@acharyaanusha1

magic-jev

A Magic Jev (8) Ball for pull requests.

ApplicationsTypeScript
src/manifest.ts
host_permissions: ["https://api.typesafe.ai/*"],
@acorn1811

semantic-bookmark

Organize bookmarks with your own semantic rules using Jev.

ApplicationsTypeScript
src/jev-client.js
// Minimal client for POST /v1/systemone. Works in the extension worker and in Node.
@adamnroman1

slop-filter

Chrome extension that hides AI-generated posts on X and LinkedIn. Scored by TypeSafe Jev. Reddit and YouTube next.

ApplicationsJavaScript
src/jev.js
//   POST https://api.typesafe.ai/v1/systemone
@aegsrl71

jevmap

Map a codebase into units and let Jev (TypeSafe AI) hand an AI coding agent the ten files that matter for a task

Context engineeringJavaScript
jev_llm.py
Requires TYPESAFE_API_KEY and: pip install typesafe-sdk
@afanjul1

jev-llm

Fake autoregressive language model powered by TypeSafe Jev

Open reproductionsPython
install.sql
USING (VALUES ('API_URL',         'https://api.typesafe.ai/v1/systemone'),
@ajshedivy1

ibmi-jev

Ask your Db2 for i tables questions. A Db2 for i SQL SDK powered by TypeSafe's Jev.

SDKs & clientsShell
src/main.rs
let resp = ureq::post("https://api.typesafe.ai/v1/systemone")
@AkashPriyadarshii1

jev-git

Sub-second Git pre-commit & pre-push semantic reflex gate powered by TypeSafe AI Jev

Guardrails & reviewRust
src/jev.rs
let response = match ureq::post("https://api.typesafe.ai/v1/systemone")
@AkashPriyadarshii1

jev-scout

Zero-hallucination open-source repo and crate scout powered by TypeSafe AI Jev System One scoring

Agent toolingRust
src/ncr.rs
assert!(sent.starts_with("POST /v1/systemone HTTP/1.1"), "{sent}");
@Alexandre-Borghi1

jev-ncr-demo

AI defect code suggestions for Non-Conformance Reports, powered by TypeSafe AI's Jev model

ApplicationsRust
src/config.rs
#[arg(long, default_value = "https://api.typesafe.ai/v1/systemone")]
@AlexBabescu1

ActionJev

Structured code review for GitHub and Gitea Actions, powered by TypeSafe Jev and written in Rust.

Guardrails & reviewPython
src/slop_linter/cache.py
from typesafe_sdk import SystemOneResponse
@almcc1

slop-linter

Lints AI-generated code for slop using Jev, a System One model that makes fast structured decisions instead of generating text.

Guardrails & reviewPython
src/provider-typesafe.ts
* Falls back to `POST {baseURL}/v1/systemone` with the same wire questions
@alpbahadur1

jevrouter

Drop-in decision/routing layer powered by TypeSafe Jev (System One) — typed Choice/Noul/Score routes with production safety gates.

InfrastructureTypeScript
run_bench.py
MODEL = "typesafe/jev-1.13"
@alperenerol1

jev-1.13-mini-benchmark

Mini benchmark of TypeSafe's jev-1.13 structured decision model (OpenRouter Decisions API) on labeled support-triage: noul/choice/score, consistency, cost, lessons learned

Benchmarks & researchPython
lib/client.ts
const BASE_URL = "https://api.typesafe.ai";
@amr050081

jev-sandbox

Test bench for TypeSafe's Jev

Benchmarks & researchTypeScript
client.go
DefaultBaseURL = "https://api.typesafe.ai"
@anilsenay1

jev

Unofficial Go client for TypeSafe's System One API and its model, Jev.

SDKs & clientsGo
net_floor.py
typesafe = env("TYPESAFE_BASE_URL", "https://api.typesafe.ai").rstrip("/")
@anisselbd1

jev-phishing-bench

Jev (TypeSafe) vs Claude Haiku 4.5 on 2 000 phishing emails: accuracy, calibration, latency, cost. Reproducible benchmark.

Benchmarks & researchPython
src/blocking.rs
/// Blocking `POST /v1/systemone`.
@aoprisan1

typesafe-ai-rust-sdk

Rust client for the TypeSafe AI System One API: send a state plus named,

SDKs & clientsRust
src/cli/commands/links.ts
import { TypeSafeClient, TypeSafeDecisionModel } from "@effect/ai-typesafe";
@aryasaatvik1

pagegraph

Route-declared SEO graph and audit toolkit for TanStack Start: sitemap/robots, React head, JSON-LD, Vite coverage gate, live audit, and Jev-backed link decisions.

ApplicationsTypeScript
citation_check.py
from typesafe_sdk import Choice, TypeSafeClient
@Ashadeepa1

typesafe-jev-model-use-cases

Runnable demos of TypeSafe's System One model (Jev) — parallel Noul judgments and a Choice-based citation/claim checker

Lists & resourcesPython
grouper.js
const res = await fetch("https://api.typesafe.ai/v1/systemone", {
@AstonyCat1

jev-tab-grouper

Chrome MV3 extension: one-click tab grouping with two engines — fixed rules (Jev/TypeSafe System One) or any OpenAI-compatible LLM that invents its own group names. Includes built-in API error log viewer.

ApplicationsJavaScript
backend/jev.py
ENDPOINT = 'https://api.typesafe.ai/v1/systemone'
@AustinAWay1

Working-Memory-Jev

Working Memory Jev · Passage

SDKs & clientsPython
jev_ultrafast/model.py
result = post_json("https://api.typesafe.ai/v1/systemone", os.environ["TYPESAFE_API_KEY"], body)
@authrain-cloud-abdullahformuli1

jev-ultrafast

⚡ Ultrafast browser agent with dynamic, indexed action spaces. Zurich → London on Google Flights in 7.1s.

Browser & computer usePython
packages/cli/src/core/jev/types.ts
export const DEFAULT_BASE_URL = "https://api.typesafe.ai/v1/systemone";
@bestagentkits1

jev-skillful

Per-prompt capability router for coding agents: resolves installed skills, MCP servers, agents and commands against your prompt via TypeSafe Jev, and measures whether the injection actually helps.

Agent toolingTypeScript
src/TypeSafeClient.php
'/v1/systemone',
@binnash1

typesafe-sdk

PHP & Laravel SDK for TypeSafe AI's JEV Model series

SDKs & clientsPHP
sentinel/jev.py
MODEL = "typesafe/jev-1.13"
@bojansandhaus1

jev-home-assistant-sentinel

A safety boundary for AI-assisted Home Assistant decisions, with explicit policy checks and deterministic state verification.

Guardrails & reviewPython
jev_ra/config.py
TYPESAFE_ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@brnyxx1

jev-ra

Browser use for coding agents, 3-5x faster than browser-use. MCP server + CLI; TypeSafe Jev decides every step in ~300 ms.

Browser & computer usePython
jev.py
Endpoint: POST https://openrouter.ai/api/alpha/decisions (model ~typesafe/jev-latest).
@burgerwdev1

what-is-jev

Jev notes: fourteen decisions I ran through it

Open reproductionsPython
jev.py
"url": "https://api.typesafe.ai/v1/systemone",
@bystreamzhang1

NBC_JEV

这是在本机运行的 API 客户端,推理由云端 Jev 执行,不需要显卡。Jev 适合分类、判断和评分,返回选项、概率及分数;它不生成聊天回复或代码。

SDKs & clientsPython
client.py
model: str = "~typesafe/jev-latest",
@caio04521

jev_search

Directory Search with OpenRouter Decisions

SDKs & clientsPython
src/decision/jev-router.mjs
const { TypeSafeClient, choice, noul, score } = await import("@typesafe-ai/sdk");
@cannacre8ive1

switchboard-ai

Adaptive multi-model AI orchestration runtime using Jev for cost-aware routing, confidence-based escalation, tool selection, and model execution

InfrastructureJavaScript
lib/hunch/configuration.rb
@url = "https://api.typesafe.ai/v1/systemone"
@carldaws1

hunch

Probabilistic control flow for Ruby — chance, pick, and rate, powered by TypeSafe's Jev

SDKs & clientsRuby
skills/judging-with-typesafe/scripts/typesafe.py
API = "https://api.typesafe.ai/v1/systemone"
@carlsonchik1

judging-with-typesafe

Скилл для агентов Letta: суждения по критериям через TypeSafe System One (Jev)

Agent toolingPython
src/config.ts
jevModel: process.env.JEV_MODEL ?? "typesafe/jev-1.13",
@CeamKrier1

semantic-firewall

Semantic firewall for LLM agents: tool calls gated by TypeSafe Jev (System One decision model via OpenRouter) + deterministic policy. PoC with corpus, stability eval, baseline, results.

Guardrails & reviewTypeScript
packages/engine/src/rule.ts
url: `${process.env.OXLINT_JEV_BASE_URL ?? DEFAULT_BASE_URL}/v1/systemone`,
@cephalization1

jev-oxlint

Digest your skills into oxlint rules powered by jev

Guardrails & reviewTypeScript
apps/api/src/index.ts
import { noul } from "@typesafe-ai/sdk";
@cephalization1

jev-triage

Uses typeful jev, zero sync to pull and sync large repositories for issue triage

ApplicationsTypeScript
typesafe.py
URL = "https://api.typesafe.ai/v1/systemone"
@charleeagni1

JevPiano

@typesafeai 's Jev controls the 2 hands and each finger to play the piano in real-time. Jev only "sees" what we see and plays this from the "note waterfall". It uses @browser_use 's jev-ultrafast and some decision scheduling to make this happen in real-time. Sound on 🔈🔉🔊

Browser & computer useJavaScript
apps/speech-filter-harness/src/jev/client.ts
import { experimental_evaluate as evaluate } from 'ai';
@chasemc671

Jevis

Jev-filtered always-on speech input harness (mic → STT → Jev → text feed)

ApplicationsTypeScript
server.mjs
*   POST /v1/systemone         Jev at TypeSafe, which refuses requests from browser pages
@choxos1

jevchess

Jev, TypeSafe's System One model, plays chess against any OpenRouter LLM, Stockfish and you. One-page web app with live moves, Jev's move probabilities, saved games and win rates.

Games & simulationJavaScript
Sources/JevVoiceCore/JevClient.swift
baseURL: URL = URL(string: "https://api.typesafe.ai/v1/systemone")!,
@chris-wozniczek1

jev-voice-control

Control your Mac by voice. Speech → Jev (TypeSafe AI System One model) typed decisions → macOS actions. Menu-bar Swift app.

Browser & computer useSwift
hooks/providers.ts
join(or(env.TYPESAFE_BASE_URL, 'https://api.typesafe.ai'), '/v1/systemone'),
@chrishan171

claude-jev-mod

Typed decisions in Claude Code: adds $.jev over TypeSafe's Jev, through OpenRouter, Vercel AI Gateway, Cloudflare Workers AI, LiteLLM or the TypeSafe API.

Agent toolingTypeScript
src/index.ts
import { TypeSafeClient, TypeSafeDecisionModel } from "@effect/ai-typesafe";
@ChristianAlexander1

effect-jev-cwe

A demonstration of the Jev System 1 model in Effect, matching vulnerabilities to their underlying CWEs

Open reproductionsTypeScript
src/background.ts
* Service worker: the only place that holds the API key and talks to api.typesafe.ai.
@chrisXchen1

typesafe-cookie-consent

Chrome extension that reads every cookie banner and popup like a person and clicks the honest button. Judged by TypeSafe's Jev. BYOK, no backend.

Browser & computer useTypeScript
generate_heatmap.py
API_URL = "https://api.typesafe.ai/v1/systemone"
@CompleteTech-LLC-AI-Research1

jev-311-heatmap

NYC 311 complaint heatmaps with TypeSafe JEV: reproducible pipeline, live research results, and interactive geographic visualizations.

Benchmarks & researchHTML
jev_prune/client.py
ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@CompleteTech-LLC-AI-Research1

jev-prune-kit

Capability-aware context-pruning installer, bounded Jev assessment engine, and experimental harness request-projection adapters (experimental, not live-host tested)

Context engineeringPython
src/decider.rs
"jev" => Some(Self::Jev),
@corasan1

arjev

Argent + Jev

Open reproductionsRust
src/server.ts
import { TypeSafeClient } from "@typesafe-ai/sdk";
@dayhaysoos1

jevals

Local evaluation workbench for TypeSafe Jev

Benchmarks & researchTypeScript
scripts/jev_compact.py
DEFAULT_MODEL = os.environ.get("JEV_MODEL", "typesafe/jev-1.13")
@de-niji1

jev-hermes

Jev for Hermes: cheap intent gates + verbatim tool compaction on OpenRouter

Agent toolingPython
openjev/audit.py
j = row.get("jev")
@DECRUX98121

openjev-lm

open-Jev LM arm: Qwen2.5-0.5B + LoRA reproducing a hosted decision model's judgment at 92.9% on hand-labelled gold - trained overnight on a 6-vCPU CPU-only host, $0/call. Paper, corpora, harnesses, receipts.

Open reproductionsPython
src/request.ts
export const SYSTEM_ONE_URL = 'https://api.typesafe.ai/v1/systemone';
@designnotdrum1

fast-jev-compaction-codex

Jev-guided verbatim supplemental compaction for Codex sessions

Context engineeringTypeScript
src/gateway.ts
* SDK's `experimental_evaluate`, not the chat-completions endpoints.
@Dharundp61

jev-carryforward

What your last session knew, scored against what this one is doing. MCP server: a per-project ledger written as things happen, recalled per task with TypeSafe's Jev evaluation model via Vercel AI Gateway.

Agent toolingTypeScript
jev/client.py
"""Native HTTP client for Experiential /v1/systemone.
@dhava-gautama1

noulgate

A gate for your agent's expensive steps, powered by TypeSafe Jev (System One). Offline-first, OpenRouter or direct, MIT.

Agent toolingPython
client.go
DefaultBaseURL = "https://api.typesafe.ai"
@dwisiswant01

typesafe-sdk-go

Go SDK for TypeSafe AI.

SDKs & clientsGo
packages/jev-compactor/src/engine.ts
import type { TypeSafeClient } from '@typesafe-ai/sdk';
@edwardyen724-g1

jev-compactor

Context compaction and safety gating for AI agents via TypeSafe Jev: keeps messages verbatim, no summarization. OpenAI, Anthropic, LangChain, CLI, MCP.

Context engineeringTypeScript
scripts/eval.py
ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@ElshinQ1

jevaluate

Jevaluate: evaluate before you trust. Field notes, runnable scripts and an agent skill for TypeSafe Jev: gated evals, a browser loop, a product walk with DeepSeek vision, a UI text judge and a first-click tree test. Co-authored with Claude Fable 5.1.

Benchmarks & researchJavaScript
almond-fastloop.mjs
const r = await fetch("https://api.typesafe.ai/v1/systemone", { method: "POST", headers: { Authorization: `Bearer ${KEY}`, "Content-Type": "application/json" },
@eriestra1

almond-fastloop

Almond-fastloop: Almond's browser computer-use rig (Chrome DevTools + TypeSafe Jev), and the Browser Use Olympics benchmark it is measured on.

Browser & computer useHTML
main.py
from typesafe_sdk import Choice, TypeSafeClient
@erik-dunteman1

ChatJev

Turning the Jev classifier model into an autoregressive next token predictor

Open reproductionsPython
src/unsafe_c_finder/classifier.py
DEFAULT_MODEL = "~typesafe/jev-latest"
@etnt1

unsafe-c-finder

Classify C/C++ snippets via TypeSafe Jev through OpenRouter.

Search & retrievalPython
scripts/locales.py
('HTTP API', 'Send `state`, `model`, and typed `questions` to `POST https://api.typesafe.ai/v1/systemone`. Check the current schema before integrating.', 'https
@evan878631

awesome-jev-examples

A curated collection of TypeSafe Jev projects, examples, tutorials, and demos from GitHub, the web, X, and YouTube. Organized by use case, with concise summaries and original sources. Available in English, Chinese, Japanese, and Spanish.

Lists & resourcesPython
data/projects.json
"model": "jev-1.13.0 (aka jev-latest), released 2026-09-15",
@everyinfra1

jev-radar

📡 全网最全 · The world's most comprehensive tracker of the Jev (TypeSafe AI System One) ecosystem — 220+ documented cases · 108 confidence-graded entries · verified & rescanned every 3 hours · API access guide included

Lists & resources
apps/chat-lab/src/shared.ts
export const MODELS = { chat: 'google/gemini-3.7-flash', decision: 'typesafe/jev-1.13' } as const;
@fabricioism1

jev-expirements

A repository for jev-expirements

Benchmarks & researchTypeScript
jev_agent.py
from typesafe_sdk import Choice, Noul, TypeSafeClient
@FazalAAli1

jev-robotics-demo

Jev (TypeSafe System One) vs Claude Opus 5 driving a simulated robot arm in MuJoCo

Games & simulationPython
src/jev.ts
typesafe: { key: "TYPESAFE_API_KEY", model: "jev-latest", endpoint: "https://api.typesafe.ai/v1/systemone" },
@felpsdev1

jev-classifier

Local tool-routing classifier for coding agents, with a gateway, MCP integrations, and decision logs.

Agent toolingTypeScript
jevify/cli.py
"url": f"http://{args.host}:{args.port}/v1/systemone",
@fidecastro1

jevify

Supersimple way to serve LLMs as a Jev-like endpoint

InfrastructurePython
eval.js
let md = `# Results\n\nGenerated by \`node eval.js\` on ${new Date().toISOString().slice(0, 10)} with \`${process.env.JEV_MODEL ?? 'typesafe/jev-1.13'}\`.\n\n`;
@finetuningsingh1

jev-chatbot

Experiment: using TypeSafe Jev as a chatbot by choosing replies one letter or word at a time

Benchmarks & researchJavaScript
src/systemone_lite/api.py
"""FastAPI server exposing Jev-compatible POST /v1/systemone."""
@fritzprix1

systemone-lite

Toy local System One–style decision API (Jev-shaped). Not affiliated with TypeSafe.

Open reproductionsPython
backend/JevTicketRouter.Infrastructure/Jev/JevHttpClient.cs
/// Calls <c>POST /v1/systemone</c> on the TypeSafe API over a pooled <see cref="HttpClient"/> from
@GhrezaKh741

JevTicktRouter

A .NET 10 and React 19 application for fast, structured AI-powered ticket triage using TypeSafe Jev.

ApplicationsC#
bootstrap/install-jev-stack.sh
printf '    官方直连 key(api.typesafe.ai)。留空跳过,之后可 export TYPESAFE_API_KEY。\n'
@gmaxxxie1

jev-cli

A CLI for the TypeSafe Jev System One decision model — defaulting to the TypeSafe direct API (api.typesafe.ai), with OpenRouter Decisions as a switchable alternative — plus a pi ex

SDKs & clientsShell
jev_sc2/__main__.py
if event != 'jev':
@golergka1

jev-plays-starcraft-2

An experiment in fast, probabilistic decisions. Jev chooses actions; Python handles

Games & simulationPython
index.ts
const defaultModel = "typesafe/jev-1.13";
@gregb1001

gavel

Stop burning LLM calls on classification. Route bugs, triage failures, and gate PRs in 200ms for $0.00002. OpenClaw plugin for TypeSafe Jev structured decisions.

Agent toolingPython
client_test.go
if want := "https://api.typesafe.ai/v1/systemone"; call.URL != want {
@guchengod1

typesafe-sdk-go

Go SDK for TypeSafe AI — classification and rating primitives over text and JSON

SDKs & clientsGo
jev.go
const DefaultBaseURL = "https://api.typesafe.ai/v1"
@guillemus1

jev-go

Unofficial Go SDK for TypeSafe AI's Jev API

SDKs & clientsGo
skills/decision-first/scripts/ask.py
ENDPOINT = os.environ.get("TYPESAFE_API_BASE", "https://api.typesafe.ai") + "/v1/systemone"
@harrymunro1

decision-first

Agent skill that spots bounded-judgment steps, tries a typed decision model (TypeSafe's Jev) first, and documents every attempt

Agent toolingPython
jev_panerelay/model.py
if not model or model == "jev-latest":
@hdkiller1

jev-panerelay

Ultra-fast browser automation using TypeSafe Jev via Panerelay and OpenRouter.

Browser & computer usePython
public/app.js
`,e+="     a  b  c  d  e  f  g  h",e}perft(e){let t=this._moves({legal:!1}),n=0,i=this._turn;for(let r=0,a=t.length;r<a;r++)this._makeMove(t[r]),this._isKingAtt
@hemanth1

jev-chess

Chess moves, evaluations, persona opponents, and game classification with TypeSafe AI System One

Games & simulationTypeScript
src/jev_games/run_lookahead.py
response = client.post('https://api.typesafe.ai/v1/systemone', json=payload, timeout=min(20, remaining))
@IAnMove1

jev-game-agent

Experimental Jev game agent: RAM, emulator lookahead, checkpoint search and verified recordings. Bring your own ROM and BizHawk.

Games & simulationPython
Flow.Launcher.Plugin.JevFileSearch/JevClient.cs
public const string Endpoint = "https://api.typesafe.ai/v1/systemone";
@ibnuh1

Flow.Launcher.Plugin.JevFileSearch

Flow Launcher predictive file search with Jev intent reranking. Type natural language like 'the pdf I just downloaded' and get the right file.

Search & retrievalC#
src/typesafe.mjs
const API_URL = "https://api.typesafe.ai/v1/systemone";
@Icohen0071

jev-play-ping-pong

Jev plays browser table tennis in real time: structured telemetry, typed decisions, ordinary Chrome inputs, and auditable evidence.

Games & simulationJavaScript
test/config.test.ts
const typesafe = configFromEnv({ TYPESAFE_API_KEY: 'ts', JEVC_MODEL: 'jev-1.13', JEVC_BASE_URL: 'https://proxy.example/v1/systemone' });
@iefnaf1

pi-jev

Pi extension suite powered by Jev: selective context compaction and model routing

Agent toolingTypeScript
jev_lab/core.py
ENDPOINTS = {'typesafe': 'https://api.typesafe.ai/v1/systemone',
@inematds1

jev

Análise crítica e plano de aplicação do Jev em decisões estruturadas

Lists & resourcesPython
android/app/src/main/java/com/leo/jevpilot/Jev.kt
const val ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@InfamousCube1

JevPilot

Computer use with TypeSafe Jev: control your PC, browser, games and Android phone with a prompt

Browser & computer usePython
src/add_action/tests.rs
assert!(headers.starts_with("post /v1/systemone "));
@Infrawrench1

Jeeves

Twitch/Discord moderation rules in plain English, powered by Jev and Gemini

Guardrails & reviewRust
runner/jev_client.py
ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@integrate-your-mind1

jev-nethack

Jev x NetHack: bounded runner, research code, and completed recording releases

Benchmarks & researchPython
lib/src/jevis_policy.dart
.post(Uri.parse('https://api.typesafe.ai/v1/systemone'),
@jaewgwon1

jevis

Run Flutter integration tests using natural language with TypeSafe.ai's Jev

SDKs & clientsDart
server.mjs
const TYPESAFE_URL = 'https://api.typesafe.ai/v1/systemone';
@jaibhasin1

jev-flappy-bird

Jev learns to play flappy-bird game with physics based context and without it

Games & simulationJavaScript
custom_components/typesafe_conversation/api.py
The API is a single endpoint (``POST /v1/systemone``), so we talk to it with
@JanOstrowka1

typesafe-assist

Home Assistant Assist conversation agent powered by TypeSafe's Jev (System One) model

ApplicationsPython
src/openrouter.ts
export const DEFAULT_MODEL = 'typesafe/jev-1.13';
@JayDoubleu1

cc-mod-jev

Claude Code mod: Jev-scored context pruning through OpenRouter. Verbatim compaction, an optional gate on oversized tool outputs, tests and evals.

Context engineeringTypeScript
crates/typesafe-client/src/constants.rs
pub const DEFAULT_BASE_URL: &str = "https://api.typesafe.ai";
@JedimEmO1

typesafe-client

Unofficial typed async Rust client for the TypeSafe System One API

SDKs & clientsRust
src/main/java/io/github/jevkit/JevClient.java
public static final String DEFAULT_BASE_URL = "https://api.typesafe.ai";
@jevkit1

jev-java

A Java client for TypeSafe's System One API and its Jev models: send some state and a set of

SDKs & clientsJava
bench/baseline-engine.mjs
const BASE_URL = process.env.TYPESAFE_BASE_URL || "https://api.typesafe.ai/v1";
@jiangkoumo1

ego-jev

Drive the ego lite browser with Jev (TypeSafe System One): one indexed element table in, one operation + target out, single process. ~2x faster than a per-step LLM loop in our measurements.

Browser & computer useJavaScript
common/jev_client.py
"""Thin wrapper around TypeSafe AI's official Python SDK (`typesafe-sdk`,
@jimmyliao1

jev-storyboard-lab

Google ADK vs Microsoft Agent Framework for structured-output agents, with TypeSafe Jev as a vendor-neutral QC gate

Benchmarks & researchPython
index.ts
const response = await fetch('https://api.typesafe.ai/v1/systemone', {
@joemaddalone1

jev-transcript-analyzer-demo

This tool analyzes YouTube video transcripts using three primitive question types from TypeSafe's Jev model:

ApplicationsTypeScript
scripts/harvest.mjs
description: "Request and response contract for POST /v1/systemone.",
@JohnDotOwl1

awesome-jev

A curated list of projects built on Jev, TypeSafe AI's System One model.

Lists & resourcesJavaScript
jon-devlapaz/burrito-frontier
@jon-devlapaz1

burrito-frontier

Pareto-optimal menu picks on cost, macros, deliciousness, and reviews — with TypeSafe/Jev scoring and a fixed output schema.

Lists & resources
airlock/client.py
"""Thin HTTP client for the TypeSafe /v1/systemone endpoint.
@jonathanavis961

jev-kit

Everything you need to run TypeSafe's Jev with Claude Code: a tool-call guard, tier guard, file search, browser agent, review, belay, compaction and installers.

Agent toolingPython
core/src/main.rs
.post("https://api.typesafe.ai/v1/systemone")
@Joymfl1

dag-jev

DAG creation out of unordered items via Jev

SDKs & clientsRust
raycast/src/engine.mjs
const response = await fetcher("https://api.typesafe.ai/v1/systemone", {
@kazuhideoki1

jev-search

Recursive semantic file search using TypeSafe Jev and fzf

Search & retrievalJavaScript
main.mjs
const r = await fetch("https://api.typesafe.ai/v1/systemone", {
@kesku1

jev-freeform

An observable raw-character chat experiment powered entirely by TypeSafe Jev Choice

ApplicationsJavaScript
src/providers.ts
constructor(apiKey: string, baseUrl = "https://api.typesafe.ai/v1") {
@kierandotai1

jev-client

Zero-dependency TypeScript client for TypeSafe Jev (System One decision model) — OpenRouter, TypeSafe direct, and Vercel AI Gateway providers

SDKs & clientsTypeScript
lib/jev.ts
"ai-model-id": "typesafe-ai/jev",
@kitze1

pagegrade

Grade page sections for clarity, writing and on-page SEO. WXT + TypeSafe AI Jev.

ApplicationsTypeScript
src/cli.ts
TYPESAFE_BASE_URL       Default https://api.typesafe.ai
@kleosr1

cursor-clijev-compaction

TypeSafe Jev-scored context recovery for Cursor CLI (agent). Capture tool I/O, score keep/drop, re-inject after native compact.

Context engineeringTypeScript
server/app.py
POST /v1/systemone   Jev-compatible (TypeSafe's shape): {state, questions, model}
@KonghaYao1

laya-jev

convaiinnovations/laya 的本地推理引擎:不训练、不微调,把官方发布的三份权重跑成一个 HTTP 决策服务,Mac(Apple 芯片)上开箱可跑;同时复刻 TypeSafe Jev 的请求/响应格式,按官方接口写的客户端只改一个 base URL 就能打到本地权重,其余代码、类型、校验都不用动。

SDKs & clientsTypeScript
src/typed_decisions/hole_eval.py
ap.add_argument("--model", default=os.environ.get("JEV_MODEL", "typesafe/jev-1.13"))
@kotoba-lang1

typed-decisions

Jev-shaped typed-decision model (state + Choice/Score/Noul questions -> calibrated probabilities, one pass) on ModernBERT / DeBERTa / LLaDA-MoE, with measured latency, accuracy, calibration and training cost

Benchmarks & researchPython
jevchat/client.py
api_base: str = "https://api.typesafe.ai/v1",
@kyle-pena-nlp1

jevchat

Turns Jev into a chatbot

SDKs & clientsPython
backend/jev.py
Endpoint: POST https://api.typesafe.ai/v1/systemone
@KyleKreuter1

jev2048

Let Jev (TypeSafeAI) solve 2048

Games & simulationTypeScript
src/app/api/evaluate/route.ts
import { choice, noul, score, TypeSafeClient } from "@typesafe-ai/sdk";
@Little-Planet-Labs1

jev-playground

A small Next.js app for experimenting with TypeSafe AI's Jev model (System One)

ApplicationsTypeScript
spikes/m0-jev/src/probe.ts
import type { JsonValue, Questions } from "@typesafe-ai/sdk";
@lmvdz1

rpg-jev

A living-world RPG whose NPCs are decided by TypeSafe's Jev judge model; code owns rules, numbers and state.

Games & simulationTypeScript
src/model_router/classifier.py
JEV_ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@lucianfialho1

jev-model-router

Cost-optimized OpenRouter model router using TypeSafe's Jev, with a live full-catalog scorer instead of a hardcoded model list

InfrastructurePython
custom_components/jev_assist/const.py
TYPESAFE_BASE_URL: Final = "https://api.typesafe.ai"
@luxus1

ha-conversation-jev

Home Assistant custom component: Conversation agent with Jev fast-path + Grok fallback

Agent toolingPython
src/typesafe.h
std::string api_url = "https://api.typesafe.ai/v1/systemone";
@maayanlevy1

mysql-ailike

Natural-language row filtering for MySQL, powered by TypeSafe Jev.

Search & retrievalC++
scripts/build_site.py
<article class="feature-card sdk-card"><div class="feature-visual" aria-hidden="true"><span class="code-tag">&lt;/&gt;</span><span class="visual-caption">THE BU
@majiayu0001

awesome-jev

A curated list of Jev / TypeSafe System One projects, SDKs, tutorials, and evaluations. English and 简体中文.

Lists & resourcesPython
src/client.ts
import { TypeSafeClient } from '@typesafe-ai/sdk';
@manojlds1

jev-review

Standalone TypeSafe Jev code-review CLI: typed decisions over a local git diff.

SDKs & clientsTypeScript
pipeline.py
API_URL = "https://api.typesafe.ai/v1/systemone"
@markfive-proto1

typesafe-vs-deepseek

TypeSafe (Jev) vs DeepSeek-flash: side-by-side speed/token/cost/accuracy comparison across invoice extraction, email classification, and reranking

Benchmarks & researchPython
src/typesafe.rs
.unwrap_or_else(|_| "https://api.typesafe.ai/v1/systemone".into()),
@markjaquith1

typesafe-ai-playground

A playground for experiments around Jev, TypeSafe's System One model.

Benchmarks & researchRust
src/jev.c
#define JEV_DEFAULT_URL "https://api.typesafe.ai/v1/systemone"
@mgaitan1

sqlite-jev

Batched natural-language judgments for SQLite, powered by TypeSafe Jev

SDKs & clientsC
index.ts
const API_URL = 'https://api.typesafe.ai/v1/systemone';
@mja001

cmdc-auto-mode

Auto permission mode for Command Code: screens every tool call with TypeSafe Jev before it runs, and rejects anything out of scope.

Agent toolingTypeScript
lib/jev/client.ts
*   POST https://api.typesafe.ai/v1/systemone
@MM-sheng1

jevspeak

Jev can't generate text. So I made it talk anyway. A conversational interface built from probabilistic decisions and a deterministic language compiler — no generative LLM.

ApplicationsTypeScript
src/router.ts
delivery = { via: "jev" };
@MobAI-Inc1

Cynosure

Jev-based adaptive model routing with structured decisions, persistent feedback, and hybrid retrieval

InfrastructureTypeScript
runtime/review_patch.py
API_URL = "https://api.typesafe.ai/v1/systemone"
@mozbz1

jev-review-hook

Jev powered code review hook for agents

Agent toolingPython
worker/src/index.js
const JEV_URL = 'https://api.typesafe.ai/v1/systemone';
@mrmt1

elevator-three

Jev に判断を任せる自動生成のエレクトロの楽器

ApplicationsHTML
MumuTW/awesome-jev
@MumuTW1

awesome-jev

Get Jev fast — TypeSafe’s sharp System One for typed decisions, plus kindred models the community is buzzing about.

Lists & resources
internal/jev/client.go
const Endpoint = "https://api.typesafe.ai/v1/systemone"
@muse05091

jev-preflight

A bounded Jev risk check for Claude Code: eight risk axes, one request, one optional reinspection.

Agent toolingGo
extensions/router.ts
const response = await (options.fetch ?? fetch)("https://api.typesafe.ai/v1/systemone", {
@mwijanarko11

pi-jev-agent

pi-jev-agent is an experimental extension for the Pi coding agent. It uses TypeSafe Jev to choose the next tool before each language-model step.

Agent toolingTypeScript
parsing-experiments/src/jev_eval/runners/jev.py
import typesafe_sdk as sdk
@naveenreddy611

jev-experiments

experiments with system one model jev

Benchmarks & researchPython
src/jev.mjs
// "~typesafe/jev-latest" always points to the newest Jev. The tilde matters:
@nexibeo1

jev-organize

Throw in a pile of company files and get them classified and organized by department, type, sensitivity, date, counterparty and PII, with an index for AI agents. Powered by TypeSafe's Jev on OpenRouter (17¢ per 1,000 files). Zero-dependency Node CLI + Claude skill + Codex agent.

Agent toolingJavaScript
limpet.py
"typesafe": ("https://api.typesafe.ai/v1/systemone", "jev-latest", "noul", "noul"),
@noplan-inc1

limpet

A Stop hook that stops your coding agent from stopping too early. Plain-language rules, judged by jev.

Agent toolingPython
app/api/moderate/route.ts
import { TypeSafeClient, noul, score } from "@typesafe-ai/sdk";
@NorbertBodziony1

guard-jev

Moderation Guard — TypeSafe Jev demo

Guardrails & reviewTypeScript
main.ts
const API_URL = "https://api.typesafe.ai/v1/systemone";
@noripto1

pigeonhole

Classify notes with Jev and file them into folders by attribute.

ApplicationsTypeScript
config.ts
baseUrl: "https://api.typesafe.ai/v1/systemone",
@nrdz-labs1

fast-jev-opencode

Jev-scored context pruning for OpenCode: drops stale tool calls and truncates bulky results on the outgoing request — fail-open, cache-backed, configurable live. Port of fast-jev-compaction to the V2 context hook.

Context engineeringTypeScript
core.py
TS_URL = os.environ.get("TS_MCP_TS_URL", "https://api.typesafe.ai/v1/systemone")
@Obrais-cloud1

typesafe-mcp

MCP server exposing TypeSafe (Jev/System One) to the fleet: judge, rerank, systemone

Agent toolingPython
jev_pr_review.py
TYPESAFE_URL = "https://api.typesafe.ai/v1/systemone"
@ohernandezdev1

jev-pr-review

Score every file in a pull request with Jev (TypeSafe System One) and decide in code whether it can merge itself. Shadow mode: comments, never merges.

Guardrails & reviewPython
tests/mock_server.py
#   - TypeSafe native-shaped: POST /v1/systemone, GET /v1/models
@okooo5km1

jev

Typed decisions from the shell: an unofficial stdlib-Python CLI and Agent Skill for TypeSafe's Jev model, via the TypeSafe API (default) or OpenRouter. Yes/no, choice and ordinal scores with calibrated probabilities, semantic grep and batch mode.

Agent toolingPython
benchmarks/complex_eval_suite.py
from jev_engine import SystemOneClient, Noul, Choice, Score, SystemOneResult
@OrbitMaker1

jev-engine

Jev-Engine: 面向软件工程的 System One 离散决策引擎与完整上下文投影切片管道

SDKs & clientsPython
src/evaluator/jev.ts
const fn = (mod['experimental_evaluate'] ?? mod['evaluate']) as EvaluateFn | undefined;
@paulobueno1641

jev-mcts

Busca em arvore (MCTS/PUCT) com avaliacao tipada do TypeSafe Jev e portao humano obrigatorio. A arvore supoe, a sonda mede: marco so e concedido por codigo de saida verde.

Agent toolingTypeScript
src/runner.ts
jevModel: options.jevModel ?? (process.env.OPENROUTER_JEV_MODEL?.trim() || 'typesafe/jev-1.13'),
@perixtar1

jev-e2e

Natural-language end-to-end tests for web apps, powered by Jev and Playwright.

Browser & computer useTypeScript
lib/typesafe.ex
| `:base_url` | `TYPESAFE_BASE_URL` | `https://api.typesafe.ai` |
@phiat1

typesafe-elixir-sdk

Unofficial Elixir client for TypeSafe's System One API (Jev): typed Noul, Choice and Score judgments over Req

SDKs & clientsElixir
src/config.rs
pub const DEFAULT_BASE_URL: &str = "https://api.typesafe.ai";
@phiat1

typesafe-rust-sdk

Unofficial Rust client for TypeSafe's System One API (Jev): typed Noul, Choice and Score questions, async and blocking

SDKs & clientsRust
src/core/Oracle.ts
import type { SystemOneResult } from "@typesafe-ai/sdk";
@phureewat291

jev-got

Jev (TypeSafe AI) PoC through Game of Thrones

Games & simulationTypeScript
civ2/typesafe.py
API_URL = "https://api.typesafe.ai/v1/systemone"
@phyous1

tsai-civ2

TypeSafe Jev plays original Civilization II in a browser, with live action probabilities. Experimental full-game harness.

Games & simulationPython
pipeline/strategy.py
TYPESAFE_URL = "https://api.typesafe.ai/v1/systemone"
@pininkara1

Jev-Trades

使用Jev模型进行决策的量化交易

ApplicationsPython
src/config.py
JEV_URL = "https://api.typesafe.ai/v1/systemone"
@PistachioAIHQ1

jev-synergy-screening

Jev (TypeSafe System One) × ASReview SYNERGY abstract screening demo — Choice/Noul vs gold labels

Benchmarks & researchPython
packages/jevkit-drift/src/jevkit_drift/__init__.py
TypeSafe's docs warn that ``jev-latest`` moves and that tuned confidence
@pjdurden1

jevkit-py

jevkit for Python: static linter and shared record format for building on TypeSafe's Jev (System One) model. Unofficial.

SDKs & clientsPython
src/app.js
if (kind === 'typesafe') return 'https://api.typesafe.ai/v1/systemone';
@pokertools-arena1

pokertools-arena.github.io

A browser-first AI poker benchmark. Seat Jev and OpenAI-compatible models at the same no-limit Texas Hold'em table, watch every card and decision as a spectator, and let the tournament run autonomously until one model wins.

Benchmarks & researchJavaScript
scripts/jev_judge.py
DEFAULT_URL = "https://api.typesafe.ai/v1/systemone"
@poponline631

hermes-jev-north-star

Hermes Agent skill whose north-star gate is judged by Jev (TypeSafe System One): turn an intention into a checkable finish line, generate the run prompt, and let Jev rank what is still unproven.

Agent toolingPython
src/jev.ts
export function createDecider(endpoint = "https://api.typesafe.ai/v1/systemone"): Decide {
@purplesmoke051

opencode-plugin-jev-auto-model-router

Opt-in Auto (Jev) model routing for OpenCode with a configurable model allowlist

Agent toolingTypeScript
jiffy/model.py
TYPESAFE_URL = "https://api.typesafe.ai/v1/systemone"
@rahulpalivela181

jiffy

general Chrome agent — Jev + OpenRouter

Agent toolingPython
src/index.ts
model: "~typesafe/jev-latest",
@Ravinder821

jev-flash-router

open-sourced jev-flash-router: an MCP server for TypeSafe's new Jev model. AI coding agents waste hundreds of reasoning tokens just deciding which file to edit, which route to pick, or whether a diff breaks tests. Jev evaluates state and outputs calibrated probabilities. Works with Cursor, Windsurf, & Claude Code

Agent toolingTypeScript
src/jev.ts
const DEFAULT_API_BASE = "https://api.typesafe.ai/v1";
@redrossa1

pi-model-router

Pi extension that classifies each prompt with TypeSafe's Jev and routes it to the best model you're logged into.

Agent toolingTypeScript
app/api/analyze/route.ts
import { experimental_evaluate as evaluate } from "ai";
@replynodes1

jev-web-analyzer

See what Jev thinks about your SaaS website — powered by ReplyNodes web context and Vercel AI Gateway.

ApplicationsTypeScript
pipeline/discover.ts
const CODE_QUERIES = ['"@typesafe-ai/sdk"', '"typesafe_sdk"', '"api.typesafe.ai"', '"jev-latest"']
@rhc981

awesome-jev

Projects built on Jev (TypeSafe AI's System One model), curated by Jev itself.

Lists & resourcesTypeScript
internal/jev/client.go
APIURL       = "https://api.typesafe.ai/v1/systemone"
@rogeriochaves1

jev-experiments

Results page: https://claude.ai/code/artifact/f00ee126-9554-4e2f-b2e7-1fc86c066aa9

Benchmarks & researchGo
background.js
const res = await fetch("https://api.typesafe.ai/v1/systemone", {
@rolottr1

x-jev-classifier

Chrome extension that stamps every X post with a type badge — alpha, shitpost, AI slop, bait — judged by Jev from Typesafe

ApplicationsJavaScript
bench_bridge.py
"http://127.0.0.1:8768/v1/systemone",
@rorshopping1

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.

Open reproductionsPython
plugins/jev-router/config.py
model: str = "typesafe:jev-1.13.0"
@rsdkrasen1

hermes-jev-router

TypeSafe/Jev router plugin for Hermes Agent — compact tool results, suppress duplicate tools, skip unnecessary main-model calls

Agent toolingPython
src/core/realtime/jev.ts
import type { ChoiceQuestion, NoulQuestion, Questions, ScoreQuestion, SystemOneResult } from '@typesafe-ai/sdk'
@rthomas241

jev-realtime-trading

Paper trading agents on a live tape, decided every second by TypeSafe's Jev (System One). Electron desktop app.

ApplicationsTypeScript
src/resolver.ts
import { TypeSafeClient, choice, noul } from '@typesafe-ai/sdk';
@RubyBrewsday1

jevcumber

Write Cucumber tests with just the .feature file. No step definitions — Jev (TypeSafe AI) resolves each Gherkin step and Playwright runs it.

Browser & computer useTypeScript
run.py
URL = "https://api.typesafe.ai/v1/systemone"
@ruffood1

jev-reality-check

Jev (TypeSafe AI) 可复现实测:算术、计数、日期、零幻觉、把握度校准,中英对照

Benchmarks & researchPython
benchmarks/detectionai.py
from typesafe_sdk import AsyncTypeSafeClient, RetryPolicy
@sandroandric1

JevGram

AI detection in research papers with Jev

Benchmarks & researchPython
index.ts
import { noul, score, TypeSafeClient } from '@typesafe-ai/sdk';
@santos-sanz1

jev-audio-beeper

Low-latency audio censorship POC using Jev typed decisions and ffmpeg.

Guardrails & reviewTypeScript
src/pipeline/judge-jev.ts
import { type NoulQuestion, noul, TypeSafeClient } from "@typesafe-ai/sdk";
@savka7771

jev-search

Fast deep research for the pi coding agent: reads up to 100 pages in full per round, Jev keeps only the passages that answer your questions.

Agent toolingTypeScript
src/jev.ts
import { choice, TypeSafeClient, type EntryType } from '@typesafe-ai/sdk';
@scarif-labs1

jev-software-decision-benchmark

Reproducible benchmark evaluating JEV as a software decision primitive for dependency-update automation under distribution shift.

Benchmarks & researchTypeScript
jev-router.ts
import { choice, noul, score, TypeSafeClient } from "@typesafe-ai/sdk";
@sherajdev1

jev-research

Practical guide to using TypeSafe Jev with Herdr and Claude, Codex, Hermes, and browser agents.

Lists & resourcesTypeScript
src/analysis/jev-client.ts
import { TypeSafeClient, type TypeSafeClientConfig } from '@typesafe-ai/sdk';
@shubhangi0131

prompt-oscilloscope

Analyze prompts with TypeSafe Jev before GitHub Copilot

Agent toolingTypeScript
packages/core/src/backends/jev.ts
this.baseUrl = opts.baseUrl ?? process.env.JEV_BASE_URL ?? "https://api.typesafe.ai/v1";
@shubhangi0131

prune-review

Cost-aware PR review using TypeSafe Jev decisions before a generative reviewer.

Guardrails & reviewTypeScript
src/client.ts
TypeSafeClient,
@siddicky1

omp-typesafe

TypeSafe AI (Jev) adversarial reviewer and typesafe_ask tool for the omp coding agent

Agent toolingTypeScript
src/run.py
req=urllib.request.Request('https://api.typesafe.ai/v1/systemone',data=json.dumps(p).encode(),headers={'Authorization':'Bearer '+self.key,'Content-Type':'applic
@simonmesmith1

jev-bbq-experiment

Reproducible evaluation of TypeSafe Jev on all 58,492 BBQ questions: accuracy, stereotype bias, uncertainty, cost and latency.

Benchmarks & researchR
R/provider-typesafe.R
url = "https://api.typesafe.ai/v1/systemone",
@simxnherrera1

jevr

A native R client for Jev System 1 model decisions

SDKs & clientsR
jev-comment-triage.php
$columns['jev_triage'] = __( 'Jev', 'jev-comment-triage' );
@soderlind1

jev-comment-triage

Async Jev-powered WordPress comment triage: background spam, scam/phishing, and toxicity moderation that keeps comment submission fast.

Guardrails & reviewPHP
lib/src/client.dart
const kDefaultBaseUrl = 'https://api.typesafe.ai';
@Solido1

jev_dart

Typesafe Jev Api

SDKs & clientsDart
scripts/render_readme.py
4. HTTP: `POST https://api.typesafe.ai/v1/systemone`
@sontakey1

awesome-jev

Unofficial list of insanely useful TypeSafe AI Jev / System One projects

Lists & resourcesPython
src/client.ts
import { choice, TypeSafeClient } from "@typesafe-ai/sdk";
@spate1411

jev-wordfeel

Turn any word into probability distributions over taste, material, scent, and shape. Powered by Jev.

ApplicationsTypeScript
server.js
import { experimental_evaluate as evaluate } from 'ai';
@sstehniy1

jev-calculator

iOS 6-inspired Jev calculator demo with a lifetime API budget

Benchmarks & researchTypeScript
src/ts_jev_cost_calculator/__init__.py
e = estimate({"state": "...", "model": "jev-latest", "questions": {...}})
@StefanoITA1

ts-jev-cost-calculator

Unofficial CLI + Python estimator of tokens, cost and context limits for TypeSafe (System One / Jev) API requests. Not affiliated with TypeSafe.

SDKs & clientsPython
src/provider.ts
TypeSafeClient,
@stoopid-computers1

jev-bot

Computer Use Agent developed with Jev

Agent toolingTypeScript
src/server.ts
const API_URL = "https://api.typesafe.ai/v1/systemone";
@studee1

jev-games

TypeSafe Jev arcade

Games & simulationTypeScript
src/jev_mine_sweeping/config.py
endpoint: str = "https://api.typesafe.ai/v1/systemone"
@sxinyuhoo1

jev-mine-sweeping

用 TypeSafe Jev(System One)驱动扫雷自动通关:HTML 扫雷页每走一步实时问模型,并把它的选项、概率、代码已证明的事实全部可视化。Play Minesweeper with TypeSafe Jev (System One): an HTML game that asks the model every move and visualises its options, probabilities and the facts the code proved.

Games & simulationPython
server.js
import { choice, TypeSafeClient } from "@typesafe-ai/sdk";
@tanayvasishtha1

Slither-Me-Jev

8 AI snakes, 1 human, 1 arena. Every snake is driven live by TypeSafe's Jev, making all decisions in real time

Games & simulationJavaScript
src/transport.rs
.post("https://api.typesafe.ai/v1/systemone")
@Tech-Byte-Frontier1

jevgate

File-scoped maintainability review with TypeSafe Jev

Benchmarks & researchRust
apps/api/src/playground/config.py
jev_api_url: str = "https://api.typesafe.ai/v1/systemone"
@tedliou1

decision-model-playground

A local playground for comparing Laya and Jev decision models with article recommendations.

Benchmarks & researchPython
src/jev.ts
const response = await (this.options.fetch ?? fetch)('https://api.typesafe.ai/v1/systemone', {
@teempai1

jev-in-codex

Jev-powered tool and skill selection, context search, and output triage for Codex via MCP

Agent toolingTypeScript
evaluator.js
const JEV_URL = process.env.JEV_URL || 'https://api.typesafe.ai/v1/systemone';
@Thanh-Mathieu951

jev-model-tokengate

Every token passes the gate before the screen.

Benchmarks & researchJavaScript
src/judge.ts
import type { EntryType } from '@typesafe-ai/sdk';
@TheBous1

jev-flash-review

Rule-based code review for AI coding agents, powered by TypeSafe Jev.

SDKs & clientsTypeScript
src/jev.ts
// Thin client for TypeSafe AI's Jev (POST /v1/systemone).
@TheEleventhAvatar1

triage-bot

Real-time support triage + response bot Jev routes the ticket to a specialist agent (general / account / billing / technical) and decides whether a human should take it instead — all as typed data, no text to parse. Cerebras then drafts the reply using whichever agent Jev picked. The script times both calls separately so you can see the split.

ApplicationsTypeScript
lib/analyze.js
const response=await fetchImpl('https://api.typesafe.ai/v1/systemone',{
@thenewpotato1

privacy-facts

A nutrition label for privacy policies. Plain-language answers, confidence scores, and source excerpts powered by Jev.

ApplicationsJavaScript
decision.ts
response = await request('https://api.typesafe.ai/v1/systemone', { method: 'POST',
@thesammykins1

jev_ampcode

A small advisory tool for comparing supplied alternatives against supplied evidence.

Agent toolingTypeScript
src/data/entries/das-rebel-a3m-router/entry.json
"how_used_jev": "The backend works with api.typesafe.ai and with openjev-sglang, an open Jev HTTP API on SGLang.",
@theSekyi1

jevusecases

What people are actually shipping with Jev — real builds, tracked as they ship.

Lists & resourcesTypeScript
src/cli.ts
import { noul } from "@typesafe-ai/sdk";
@Thestral121

pr-sieve

Semantic PR gate: .jev.yml rules as TypeSafe Jev questions. Not a review bot.

Guardrails & reviewTypeScript
src/providers/gateway.ts
import { experimental_evaluate as evaluate } from 'ai';
@thezem1

jev-one

A vocabulary-driven TypeScript runtime for safe, stateful applications powered by TypeSafe AI Jev.

SDKs & clientsTypeScript
typesafe_agent_gates/judgments.py
from langchain_typesafe import Choice, Noul, NoulCriteria
@ThiagaoBR1

typesafe_agent_gates

LangChain / Deep Agents middleware that uses TypeSafe's System One model (Jev) for typed judgments in unattended coding agents: a shell-command gate (database, production, destructive, secrets), issue triage and routing by severity and urgency, merge-request detection, and review of weakened tests. Measured with live probes.

Agent toolingPython
thiagoadril/typesafe-docs
@thiagoadril1

typesafe-docs

System One Models & Jev documentation. typesafe.ai documentation extracted in .md format for LLMs. Used to train LLMs.

Lists & resources
src/jevbench/backends/jev.py
DEFAULT_ENDPOINT = "https://api.typesafe.ai/v1/systemone"
@TokenTrim1

jev-agent-failure-benchmark

Benchmarking Jev (Typesafe.ai) against a strong LLM on the Who&When Pro agent-failure-attribution benchmark (text subset).

Benchmarks & researchPython
jev_router/jev.py
"""Client for TypeSafe's Jev decision model (POST /v1/systemone).
@TokenTrim1

jev-routing-experiment

Benchmarking TypeSafe's Jev decision model as a cost-efficient LLM router on RouterArena

Benchmarks & researchPython
structured_aux/config.py
DEFAULT_MODEL = "~typesafe/jev-latest"
@trajectoire-ai1

hermes-structured-aux-models

A Hermes Agent model-provider plugin that routes selected auxiliary tasks through bounded Jev decision calls on OpenRouter instead of free-form chat prompts.

Agent toolingPython
server.js
const UPSTREAM_URL = 'https://api.typesafe.ai/v1/systemone';
@tubone241

jev-practice-speed

トランプの スピード を、CPU 側の頭脳に TypeSafe AI の Jev を使って対戦する WebGL デモアプリ。Jev の判断速度と判断精度をリアルタイムに計測して見せることが目的。

Games & simulationJavaScript
src/jevbot/config.py
This module never imports `typesafe_sdk` or `alpaca`: `check_sdk_log_level` has to run BEFORE the SDK is imported anywhere.
@tyleree1

jevbot

Options trading bot (backtest + Alpaca paper only) with TypeSafe Jev as the decision core

ApplicationsPython
src/lib/jev/compose.ts
} from "@typesafe-ai/sdk";
@tylerjharden1

harden-jev-decides

JEV picks which stream idea becomes the live MVP. TypeSafe System One decision board.

ApplicationsTypeScript
src/providers/typesafe.mjs
constructor({ apiKey = process.env.TYPESAFE_API_KEY, endpoint = process.env.TYPESAFE_ENDPOINT ?? "https://api.typesafe.ai/v1/systemone", model = process.env.TYP
@typakon41

jev-layer

Portable System-1 decision layer for agent harnesses with host-owned routing, receipts, replay, and fail-open integrations.

Agent toolingJavaScript
principles.py
The `jev` decorator discards confidence, so this calls Jev through `typesafe_sdk` directly.
@uberto1

jev-test

Review Kotlin files against From Objects to Functions principles using Jev

Guardrails & reviewPython
plugin.json
"jev",
@Umbylicus1

umby-jev-stack

Portable agent skill: TypeSafe Jev as a cheap code-review classifier (HTTP + optional jev-review MCP)

Agent tooling
jcyber/clients/jev.py
questions to typesafe_sdk types and projects the response back to jcyber's
@undeemed1

Jcyber

Agent-driven bug bounty / pentest framework: one gated chain over five systems (Caido, HexStrike, Jev, Memgraph, TencentDB, Prometheus)

Agent toolingPython
client.go
data, response, err := c.execute(ctx, http.MethodPost, "/v1/systemone", body, resolved)
@unimtx1

typesafe-sdk-go

A Go SDK for the TypeSafe API, enabling quick integration with Jev.

SDKs & clientsGo
src/jevlocal/app.py
"""FastAPI app: POST /v1/systemone, Jev-compatible contract."""
@us1

jev-local

Local Jev-compatible evaluation server: POST /v1/systemone with typed noul/choice/score, open weights, no waitlist

InfrastructurePython
typeevac/jev_decide.py
def __init__(self, model="jev-latest", url="https://api.typesafe.ai/v1/systemone", threads=4):
@using761

TypeEvacSafe

화재 피난자 개인별 판단 엔진 — 타입 안전 판독(Bonsai 2 27B / TypeSafe Jev) + 소셜포스 이동, FDS-GPU 화재장 위에서 역할·구조·경로 결정 · Meteor Simulation

Games & simulationPython
credentials/JevApi.credentials.ts
default: 'https://api.typesafe.ai',
@vibe-with-me-tools1

n8n-nodes-jev

Helper n8n community node for Jev by TypeSafe. Classify, route, and score text with questions you define, and get a probability for every answer so unsure items can go to review.

SDKs & clientsTypeScript
src/main/java/ai/jev/resilience/client/JevEvaluationService.java
* Non-blocking client for TypeSafe Jev's {@code /v1/systemone} endpoint.
@Vicente-MD1

jev-resilience

Non-blocking Spring Boot Starter for Spring WebFlux that implements a Semantic Circuit Breaker to detect silent HTTP 200 failures using TypeSafe Jev.

SDKs & clientsJava
jev_mcp.py
name="jev",
@vit-cerny1

jev-browser-kit

Give any MCP-capable LLM harness an on-demand real-browser search tool (TypeSafe Jev) with per-run timing and cost tracking.

Agent toolingPython
src/jev_mcp/decisions.py
"model": os.environ.get("JEV_DECISIONS_MODEL", "~typesafe/jev-latest"),
@wahahaorg1

jev-mcp

jev-mcp turns browser-use/jev-ultrafast into one local, session-aware MCP server for fast read-only product research. Jev selects an action and observed target from a DOM snapshot;

Agent toolingPython
plugins/codex-jev-compaction/lib/core.mjs
export const ENDPOINT = 'https://api.typesafe.ai/v1/systemone';
@Wang-auspicious1

codex-jev-compaction

Jev-powered context curation for Codex. Build compact, traceable handoff context through native plugins and skills.

Agent toolingJavaScript
jev_cli.py
API_URL = "https://api.typesafe.ai/v1/systemone"
@wenchenxi1

jev-console

Local console + CLI for TypeSafe's Jev (System One) model: send a state and typed questions, get calibrated probabilities back.

SDKs & clientsPython
src/config.ts
baseUrl: "https://api.typesafe.ai/v1/systemone",
@willfish1

pi-observational-memory-jev

Jev decides what to keep. Compaction never rewrites the transcript.

Context engineeringTypeScript
worker/index.ts
const TYPESAFE_ENDPOINT = "https://api.typesafe.ai/v1/systemone";
@willprout1

magic-8-ball

A beautifully minimal Magic 8 Ball powered by Jev from TypeSafe. Twenty classic answers, one fast AI judgment.

ApplicationsTypeScript
client.go
DefaultBaseURL = "https://api.typesafe.ai"
@withzombies1

jev-go

Typed answers from Jev, in idiomatic Go.

SDKs & clientsGo
hooks/typesafe-check.sh
"3. Would a sensible person answer it in under a second from text you can show them? -> TypeSafe/Jev.\n" +
@wotai-dev1

typesafe-jev-tools

A Claude Code hook that asks whether the decision you are writing needs a model at all. Includes a measured 149-row comparison of TypeSafe Jev against Claude Haiku 4.5.

Agent toolingShell
evals/calibration.py
"jev_model": "typesafe/jev-1.13", "base_model": base_model,
@wuyoscar1

jev-skill

A Jev decision toolbox for agents and people: 56 recipes, an OpenRouter CLI, and transparent paired evaluations.

Agent toolingPython
server.mjs
const response=await fetch('https://api.typesafe.ai/v1/systemone',{method:'POST',headers:{Authorization:`Bearer ${process.env.TYPESAFE_API_KEY}`,'Content-Type':
@XieChengYuan1

jev-gomoku

弈瞬:双 Jev 五子棋九宫格输入实验台,逐手查看模型决策,支持真实对局回放与实时对战。

Games & simulationJavaScript
bin/cli.mjs
return [{ client, name: 'jev', fresh: true }];
@XieChengYuan1

jev-observatory

Jev 活动看板:自动接入 MCP,实时查看真实输入、判断结果与用量。Local-first, passive MCP observability.

Agent toolingJavaScript
src/mcp.mjs
const args=proxyPath?['--no-warnings',proxyPath,...(proxyPath.endsWith('cli.mjs')?['proxy']:[]),process.env.JEV_MCP_SERVER||'jev']:
@XieChengYuan1

jev-playground

Discover real Jev use cases. A source-linked catalog with MCP classification, semantic deduplication, and a public browsing demo.

Lists & resourcesJavaScript
server/predict.ts
import { choice, TypeSafeClient } from "@typesafe-ai/sdk";
@ximhear1

jev-kr-name-age

이름으로 나이대를 맞히는 React 웹 (TypeSafe Jev)

ApplicationsTypeScript
src/typesafe.ts
export const TYPESAFE_ENDPOINT = "https://api.typesafe.ai/v1/systemone";
@yibie1

pi-jev-browser

Isolated Playwright browser for pi, driven by Jev typed decisions through the TypeSafe API or the model pi already has configured.

Browser & computer useTypeScript
packages/ai-type-safe-platform/Factory.php
string $baseUrl = 'https://api.typesafe.ai',
@yoanbernabeu1

demo-symfony-typesafe

Démo : trier des demandes de support avec Jev (TypeSafe) et Symfony AI. Messenger, Live Components, Turbo, kit shadcn de UX Toolkit.

ApplicationsPHP
foq/__init__.py
from .engine import FoqEngine, FoqConnectionError, SystemOneResponse
@yohanargentina-oss1

Foq

⚡ Foq — the FREE, local, open-source alternative to Jev. Typed System 1 decisions in ~25 ms — no waitlist, no cloud, no per-token cost. foq.fr

Open reproductionsPython
src/openrouter-jev-client.ts
export const CLASSIFICATION_MODEL = "typesafe/jev-1.13";
@Z7612936291

pi-jev-helm

Pi extension that uses Jev task classification (via OpenRouter) to route each run to explicitly configured models with fail-open policy. Public Preview.

Agent toolingTypeScript
src/lib/jev.ts
import { experimental_evaluate as evaluate } from "ai";
@zaini1

unsee

Hide what you'd rather not see: a Chrome extension demo where natural-language rules are judged by TypeSafe's Jev

ApplicationsHTML
jevgrep/cli.py
DEFAULT_MODEL = "typesafe/jev-1.13"
@zaydmulani091

jevgrep

Instant semantic code search: local ripgrep shortlist, meaning-ranked by TypeSafe Jev via OpenRouter.

Search & retrievalPython
src/client.rs
endpoint: "https://api.typesafe.ai/v1/systemone".to_string(),
@zcoder-run1

rust-sysone

System One TypeSafe AI Rust Client (unofficial)

SDKs & clientsRust
client.go
defaultBaseURL = "https://api.typesafe.ai"
@zhirschtritt1

typesafe-go

Idiomatic Go SDK for the TypeSafe AI API

SDKs & clientsGo
src/jcp/prior.py
MODEL = "~typesafe/jev-latest"
@zhuyansen1

jev-cold-start-prior

Can a TypeSafe Jev prior read from a README on day one predict which new agent-skill repos gain stars? Zero-shot Jev ≈ a text model trained on ~150 labels; best used as a feature. Prospective test running.

Benchmarks & researchPython
src/jip/label.py
MODEL = "~typesafe/jev-latest"
@zhuyansen1

jev-issue-pulse

Can a Jev-labelled GitHub issue stream catch a broken release before the fix? No at daily cadence (null, n=7). Per issue, Jev matches triage labels far better than keywords or sentiment.

Benchmarks & researchPython
src/jsp/label.py
MODEL = "~typesafe/jev-latest"
@zhuyansen1

jev-support-pulse

Does a Jev-labelled support-tweet stream spike before a brand admits an outage? At equal false alarms it catches 17 vs 10 incidents (volume), ~4h ahead; a good keyword list is almost as good.

Benchmarks & researchPython
chapter/chapter_1/code/api_openrouter.py
"""调用 OpenRouter decisions API(typesafe/jev-latest)的最小示例。
@ZHYsfl1

learn-jev

a repo that helps you learn jev model.

Lists & resourcesPython
scripts/run_baseline.py
python scripts/run_baseline.py --model jev --base-url https://api.typesafe.ai/v1 --api-key-env TYPESAFE_API_KEY
@zsavage81

padflow-jev-evals

Typed-decision benchmark from PadFlow (land development SaaS): schemas, anonymized labeled rows, and a runner for confidence-calibrated models like TypeSafe Jev.

Benchmarks & researchPython
scripts/jev.mjs
const API = "https://api.typesafe.ai/v1/systemone";
@zurfyx1

jev-browser-skill-demo

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

Agent toolingJavaScript
jevforge/serve.py
POST /v1/systemone   {state, model, questions} -> {model, answers, usage}
@zwliJay1

jev-forge

An open training and inference stack for Jev-style decision models. Train models to score dynamic candidate branches from a shared prefix, with support for high-cardinality choice, calibration, and fast batched inference.

Open reproductionsPython
worker.js
const TYPESAFE_ENDPOINT = 'https://api.typesafe.ai/v1/systemone';
@zzzzzec1

jevsort

Jev-powered integer sorting experiment: serial selection versus parallel rank prediction.

Benchmarks & researchHTML