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The full directory

All Jev AI model resources

Entries for TypeSafe AI's flagship System One model — official docs and SDKs alongside community clients, tools, and write-ups.

Entries
3,724
Categories
11
Official
102
Community
3,622
Source sites
292
Deep dives
3,724

By format

3724
  • Docs169
  • Repos & sites2965
  • Videos73
  • Posts103
  • Articles344
  • Playgrounds70

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Browse the Jev AI model by category

11 ways into the ecosystem. Each category page leads with its own shortlist of starting points.

All 3724 Jev AI model resources

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Showing 49–96 of 322 resources

12GitHub stars
A flicker-free terminal coding agent built in Rust for local models: Ollama's native API and OpenAI-compatible servers are first-class targets, cloud providers are optional, and it ships as one ~14MB binary.
Jev Agents & MCP#community#catalog-import#logicrw
Open-source Codex plugin that consults TypeSafe Jev about tools, models, tasks, skills, context, and strategies, diagnoses failed commands, and checks completion claims against evidence. The current package is version 0.4.0.
Jev Agents & MCP#community#catalog-import#logicrw
12GitHub stars
Prompt reviewer for Claude Code and Codex CLI: Jev first decides whether a submitted prompt needs a review, and when it does, a lightweight model flags overlooked context, unstated assumptions, or the real problem in a local web UI.
Jev Agents & MCP#community#catalog-import#logicrw
12GitHub stars
Retro Neo-Brutalist web app for everyday micro-decisions in Chinese: whether to buy it, spend it, use it, what to eat, or whether to go, answered with a direct verdict and an optional TypeSafe Jev route.
Jev Tools & CLIs#community#catalog-import#logicrw
Vercel Labs example that routes three forms by context with Jev and AI SDK: Jev's team choice is accepted when its confidence is at least 95%, otherwise openai/gpt-6-luna-fast independently evaluates the submission and its choice becomes final.
Jev Demos & Experiments#community#catalog-import#logicrw
12GitHub stars
Python CLI and agent skill that reviews Agent Skills, MCP configs, and source code for suspicious behavior with TypeSafe Jev plus local static checks, reporting file and line evidence, risk categories, model probabilities, and unscanned scope.
Jev Tools & CLIs#community#catalog-import#logicrw
12GitHub stars
Claude Code plugin that asks Jev a few typed questions before every turn and sets reasoning effort, subagent model and effort, strategy, and the skill a prompt needs; you keep Opus for the conversation.
Jev Agents & MCP#community#catalog-import#logicrw
A 34-page technical review and implementation framework by Av1dlive for using Jev's typed decisions inside agent workflows, separating observation, model judgment, deterministic policy, authorized action, and outcome verification.
Jev Practices & Patterns#community#catalog-import#logicrw
11GitHub stars
pi extension that routes every prompt to a task-appropriate model tier using four TypeSafe Jev typed judgments, with budget-aware downgrades, candidate fallback chains, and the decision recorded in the transcript.
Jev Agents & MCP#community#catalog-import#logicrw
12GitHub stars
A reproducible lab measuring how several coding agents coordinate on one repository, plus Médula, a kernel that asks TypeSafe Jev before every write whether a change collides with what the other agents are doing.
Jev Benchmarks & Evaluations#community#catalog-import#cobanov
10GitHub stars
An open-source, local-first model router for coding harnesses: Jevia asks Jev for a capability tier per task, applies your safety policy, and keeps recorded execution history in your project or database so later routes learn from outcomes.
Jev Tools & CLIs#community#catalog-import#logicrw
11GitHub stars
An opencode plugin that turns an agent's small decisions — is this command safe, which tool fits, is this PR ready — into typed Jev questions with calibrated confidences, labelling each answer auto or escalate so the agent knows when to ask for help.
Jev Integrations & Adapters#community#catalog-import#logicrw
10GitHub stars
A GitHub App that routes pull-request review work through Jev: it ingests the webhook, normalizes the PR context, gets a LOW, NORMAL or SPECIALIST decision, and a deterministic policy layer maps it to auto-approval, a review request or a check-run update.
Jev Integrations & Adapters#community#catalog-import#logicrw
10GitHub stars
An OpenCode plugin that asks Jev how much reasoning each step needs — low for a rename, high for a failing test — and adds the picked effort to the request, falling back to high when Jev is slow or unavailable. Archived and superseded by reasoning-router.
Jev Integrations & Adapters#community#catalog-import#logicrw
10GitHub stars
Traffic signal control with Jev applied to SUMO simulation: each control step packs the road network into one state with a choice question per intersection, and the model's chosen phase, distribution and confidence drive the signal with local-ranking fallbacks.
Jev Tools & CLIs#community#catalog-import#logicrw
9GitHub stars
A GitHub Action that asks Jev one yes/no question per thing worth checking on a pull request and approves only when every answer clears your confidence threshold; otherwise it skips and comments with the numbers.
Jev Integrations & Adapters#community#catalog-import#logicrw
10GitHub stars
A Claude Code plugin that keeps agents honest: Claude lays work out as phases with a definition of done and a check, and whenever it tries to stop, Jevflow runs the checks and asks Jev whether the work is really done. Several agents can share one plan.
Jev Agents & MCP#community#catalog-import#logicrw
A hook plus /jev skill for Claude Code: Jev picks the cheapest Claude tier (haiku, sonnet, opus, fable) for each prompt and estimates whether the task depends on the conversation, delegating self-contained work to a cheaper subagent.
Jev Integrations & Adapters#community#catalog-import#logicrw
8GitHub stars
An autonomous ViZDoom agent that decouples Doom's simulation from Jev SystemOne inference: the game runs at 35 ticks/sec while Jev is queried asynchronously at about 10 Hz for macro goals, targets, movement and firing decisions.
Jev Demos & Experiments#community#catalog-import#logicrw
8GitHub stars
A TypeSafe/Jev kernel split out of Lean Refactor Arena: it acts as a gate rather than a proof authority, with choice/score/noul projectors, caches and rankers, and Lean candidates that only a consuming Lean/Lake verifier can admit.
Jev Repos & SDKs#community#catalog-import#logicrw
8GitHub stars
A zero-dependency tool selector that narrows a large pool of agent tools to the relevant few before the LLM call, running offline with TurboQuant or on TypeSafe Jev when a TYPESAFE_API_KEY is set.
Jev Repos & SDKs#community#catalog-import#logicrw
8GitHub stars
A pygame Flappy Bird that hands the bird to Jev: each new pipe becomes one multiple-choice question about simulated flight paths, and Jev answers with a typed choice plus a probability distribution.
Jev Demos & Experiments#community#catalog-import#logicrw
8GitHub stars
An independent reimplementation of the OpenJev mechanism on PrismML's 1.75-bit Bonsai weights: typed decisions read straight off the next-token distribution of a 5.95 GB 27B model in one forward pass.
Jev Repos & SDKs#community#catalog-import#cobanov
A Windows desktop assistant that OCRs a selected chat area, lets you correct the transcript, then has Jev analyze the conversation and rank three candidate replies from an optional reply model; nothing is auto-sent.
Jev Tools & CLIs#community#catalog-import#logicrw
8GitHub stars
A Mac desktop bookkeeping clerk where Jev makes every in-app decision — an action kind from a closed list of 12 and which line to click — while a System 2 model rewrites its playbook every ten invoices.
Jev Tools & CLIs#community#catalog-import#logicrw
8GitHub stars
A harness for evaluating TypeSafe Jev as a policy in Gymnasium and Atari environments: adapters turn observations into structured JSON and Jev picks a legal action through a single Choice question, with no training.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
An OpenCode plugin that keeps the session on a cheap sticky parent model so the cache stays warm, and asks Jev whether a turn is hard before escalating through jev_escalate to temporary stronger subagents.
Jev Integrations & Adapters#community#catalog-import#cobanov
7GitHub stars
A Playwright reporter that uses Jev to score which existing E2E tests a code change could affect and runs only those above a confidence threshold before browser execution, failing open to the full suite.
Jev Integrations & Adapters#community#catalog-import#logicrw
7GitHub stars
Custom ComfyUI nodes that use Jev for text interpretation and judgments — select candidates, evaluate conditions, score text and extract numbers — plus a node for picking local SKILL.md files.
Jev Integrations & Adapters#community#catalog-import#logicrw
A Blender 4.2+ extension that adds a Jev tab to the 3D Viewport sidebar: describe what you want in plain language, press Enter, and Jev ranks every registered bpy.ops operator. Click a result to run it, or copy its bpy.ops call.
Jev Tools & CLIs#community#catalog-import#logicrw
8GitHub stars
Six evidence-oriented tools for the pi and omp coding agents, also usable from any MCP client: navigate unfamiliar code, ask typed questions about repository evidence, review completed changes, and select existing tests.
Jev Agents & MCP#community#catalog-import#logicrw
7GitHub stars
Classifies 1,000 recent arXiv AI papers into 24 topics with one Jev decision each, then checks those labels against an LLM judge on a seeded sample of 100. Ships three scripts and a static topic-map page.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
8GitHub stars
A Windows UI Automation extension of arc-cua: a planner hands off a bounded subtask and a fast JEV-powered decision loop observes the desktop, picks legal actions and drives real Windows apps locally.
Jev Repos & SDKs#community#catalog-import#logicrw
6GitHub stars
A pluggable decision substrate for RAG pipelines: explicit state → Decision → confidence → action gates with Jev as the first swappable backend, plus a calibration-first evaluation harness for five decision primitives.
Jev Repos & SDKs#community#catalog-import#logicrw
A pre-registered independent evaluation of Jev on intent classification and confidence-gated cascades against nano-class and frontier LLMs and a supervised encoder, plus a second study of confidence under prompt injection.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
6GitHub stars
Lets AI agents use Windows applications through MCP or the command line: hand off a bounded task and Jev observes windows, chooses controls, types supplied text and navigates locally, returning a result or a request for help.
Jev Agents & MCP#community#catalog-import#logicrw
6GitHub stars
A multi-provider Jev transport layer with fail-closed validation, used by jkudish/jev-browser and jkudish/jev-mcp. One ask() call picks a carrier, sends typed questions and validates answers instead of throwing a verdict.
Jev Repos & SDKs#community#catalog-import#logicrw
6GitHub stars
Open reimplementation of the Jev decision-model idea: masked-logit softmax turns any small local LLM or OpenAI-compatible API into a type-safe decision engine with raw probabilities. Also ships a WeChat/QQ/Telegram crush radar with a verdict and next-move advice.
Jev Repos & SDKs#community#catalog-import#logicrw
6GitHub stars
Autonomous gaming agent pairing Laya's local sub-30 ms System One inference with TypeSafe Jev Choice, Score and Noul decisions. Plays Windows PC games with hardware scan codes and Android games through ADB touch injection.
Jev Agents & MCP#community#catalog-import#logicrw
6GitHub stars
Codex plugin and MCP tool that batch-labels JSONL text records with Jev: one jev_label tool assigns a label per record and hands low-confidence decisions back to Codex for review. Its benchmark reports less Codex input and elapsed time on synthetic workloads.
Jev Agents & MCP#community#catalog-import#logicrw
6GitHub stars
Minimal Jev metadata workbench for local music files: a FastAPI backend sends track metadata and scoring questions to TypeSafe Jev and can write the chosen genre or language back with Mutagen, behind a small React page for editing prompts and questions.
Jev Tools & CLIs#community#catalog-import#logicrw
5GitHub stars
Local-first test selector that asks a judge — classifier.dev by default, or Jev with a TypeSafe key — whether each test could be affected by the current code change, then hands only the selected files to Playwright or Vitest. Uncertainty always runs the full suite.
Jev Tools & CLIs#community#catalog-import#logicrw
5GitHub stars
Small Go library for tool-using AI programs: the agentic loop runs until the model finishes or a budget stops it, with Anthropic and OpenRouter providers, tool schemas inferred from Go types, and an optional chat package for threads, SSE and NDJSON.
Jev Repos & SDKs#community#catalog-import#logicrw
5GitHub stars
A runnable reward-model laboratory that trains DQN agents on CartPole, MountainCar, Acrobot and FrozenLake with official JEV scores as rewards: 36 runs across 3 seeds and 3.24 million steps, with checkpoint replays and a recorded JEV cost of about $0.00241.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
5GitHub stars
A small PHP 8.1 library, extracted from LLPhant, giving typed value objects for Jev's Noul, Choice and Score answers, with probabilities and token usage. Unofficial and community-built; you supply a TypeSafe API key, or point it at Laya.
Jev Repos & SDKs#community#catalog-import#logicrw
Benchmark comparing TypeSafe Jev 1.13 with the local Laya MLX typed-decision model across 1,470 synthetic items and eight tasks: accuracy, calibration, latency and throughput, with scripts, datasets, predictions and the full report in the repo.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
E-commerce customer-service quality sandbox: Jev judges intent, emotion, urgency and risk per message, an 8-rule decision table routes to queues with SLAs, and dangerous agent phrasing is blocked with rewrite suggestions before it is sent.
Jev Demos & Experiments#community#catalog-import#logicrw
MCP server that lets Claude Code, Codex and other agents drive a real Chrome browser while JEV makes the small typed decisions — which element, which suggestion, did the click work — with calibrated confidence driving act, verify or ask.
Jev Agents & MCP#community#catalog-import#logicrw

Start here with the Jev AI model

Hand-picked entries the maintainers recommend first, from official primitives to community tools.

The Jev Day release post: Jev 1.14.0 under jev-preview plus three danger-zone features — composable images on both models, the box question type on 1.14 only, and opt-in 262k context.
Jev Guides & ArticlesArticle#official#release#vision
Official
The box question type: one bounding box per question, returned as four edges that are fractions of the image, plus confidence, with no criteria field and no not-found value.
Jev Practices & PatternsDocs#official#docs#vision
Official
LiteLLM's Day 0 post for TypeSafe Jev 1.14: the proxy adds box questions, image input and long-context mode on both POST /v1/systemone and POST /v1/decisions, forwarding TypeSafe-Danger-Zone headers only to TypeSafe deployments.
Jev Integrations & AdaptersArticle#community#litellm#gateway
Community

From the Jev community

Watch walkthroughs, read the threads, and see what builders are posting.

YouTube: KodeKloud's three-minute primer: what a System One model decides, and why it answers in milliseconds.

YouTube: Caleb Writes Code explains what Jev is and how to call it, in seven minutes.

YouTube: Greg Isenberg and Ryan Vogel on the businesses Jev unlocks, and a path in through the Vercel AI Gateway.

YouTube: CJ from Syntax demos browser use, classification, code review, a model router, and a chat bot with no LLM.

YouTube: Ryan Vogel runs Jev on 100 and then 1,000 emails: category, priority, spam, and reply predictions.

YouTube: AICodeKing tests support routing, refund detection, prompt-injection resistance, and browser automation.

Hacker News: Show HN: Ad Spend Guard gates budget before the auction, not the creative after.

Show HN: Gating ad budget with a decision modelRead the thread on Hacker News

Reddit: Reranking rebooking options with a decision model, ranked with reasons.

Hacker News: Pick Verify: a single decision at the warehouse pick station catches confusable picks.

Show HN: Verifying robot picks with a decision modelRead the thread on Hacker News

Hacker News: Software Bombe and live Enigma demo where Jev ranks cribs and judges plaintext.

ag_212 pointsShow HN: Jev as the Bletchley Park Analyst: A Software Bombe on EnigmaRead the thread on Hacker News

Hacker News: Show HN for the decide CLI: brew install, file context, and multi-question shell scripts.

vsekhar2 pointsShow HN: Decide – Jev decisions in the shell, scripts, and agent skillsRead the thread on Hacker News

How entries are chosen

Every entry is reviewed against the same bar, whether it comes from TypeSafe or the community.

  • Public and working — no paywalls, sign-up walls, or dead links.
  • Concrete — it has to be about Jev and the System One API, not generic LLM content.
  • Useful today — something a developer can learn from or use right now.
  • Distinct — if a similar entry exists, the description has to say what makes this one different: a different runtime, a cheaper path, a measured result, or a narrower focus.
  • Documented — repos state their license, and docs are in English or carry an English summary.

Spam, affiliate links, and thin AI-generated content are rejected. New entries are expected to ship with a deep dive: two to five highlights, caveats, a quickstart snippet where one helps, and a verification date. Star counts are refreshed when an entry is touched.

Common questions

Short answers about Jev and how this directory works.

What is the Jev AI model?

Jev is TypeSafe AI's first System One model — an AI model that takes a state plus typed questions and returns one structured answer per question: a choice, an ordered score, or the probability of yes, with calibrated confidence on Choice and Score answers. Code can branch on the result without parsing generated text.

What is the difference between Choice, Score, and Noul?

They are the three question primitives. Choice picks one of up to 255 options, Score rates on 2 to 10 ordered levels, and Noul answers yes or no. Choice and Score answers carry a confidence between 0 and 1; a Noul answer is the probability of yes.

Which Jev SDKs and client libraries are available?

TypeSafe maintains official JavaScript/TypeScript and Python SDKs plus a Python adapter. The community has built clients for Go, .NET, PHP, Laravel, Rust, Elixir, Ruby, and Scala, along with framework integrations such as DSPy, LlamaIndex, and Home Assistant. All of them are listed in the Repos & SDKs category.

Is the directory free, and is it affiliated with TypeSafe AI?

The directory is free to browse: every entry is reviewed, and spam, affiliate links, and sign-up walls are rejected. JevDirectory.org is community-run and not affiliated with TypeSafe AI — Jev and System One are TypeSafe AI trademarks.

How often is the directory updated?

Entries are added as new resources appear and re-checked when they are touched. The directory currently holds 3724 entries from 292 source sites, last updated Oct 24, 2026.

What is a verified deep dive?

Most entries include a deep dive: two to five highlight bullets someone would only know from using the resource, a caveats note about limits and requirements, an optional quickstart snippet, and the date the link was last checked. 3724 of the 3724 entries carry one today.

For the canonical details, read the official TypeSafe docs and the API reference.