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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
3,919
Categories
11
Official
102
Community
3,817
Source sites
293
Deep dives
3,919

By format

3919
  • Docs169
  • Repos & sites3102
  • Videos74
  • Posts104
  • Articles392
  • Playgrounds78

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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 3919 Jev AI model resources

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Showing 1057–1104 of 3919 resources

15GitHub stars
A host-agnostic routing layer that sits between a coding harness and its models, choosing capacity per round from trajectory evidence like tool calls, failures and context pressure, running as a user-scoped daemon and local OpenAI-compatible proxy.
Jev Integrations & Adapters#community#catalog-import#logicrw
16GitHub stars
An Ollama-style local runner for System One decision models from Hugging Face: pull, serve and query them behind the same /v1/systemone API as TypeSafe's Jev, with a terminal model manager and a browser playground.
Jev Tools & CLIs#community#catalog-import#madewithjev
14GitHub stars
Write end-to-end tests for web apps in plain English; jev-e2e turns each case into a plan, has Jev pick the page controls, and runs it with Playwright, returning PASS, FAIL or BLOCKED with HTML, JSON and masked screenshot evidence.
Jev Tools & CLIs#community#catalog-import#madewithjev
13GitHub stars
Run Laya locally on Bun with native ONNX inference and Hugging Face tokenizers: an HTTP server implementing TypeSafe's decision API plus an English/Persian playground with 16 demos, usable through the official @typesafe-ai/sdk with a custom baseURL.
Jev Repos & SDKs#community#catalog-import#logicrw
13GitHub stars
A guard for coding agents that puts Jev in front of every step: it judges tool calls for intent and risk, scans tool outputs for instructions aimed at AI agents, and checks replies, mapping probabilities to allow, ask or warn.
Jev Agents & MCP#community#catalog-import#logicrw
13GitHub stars
Job-application skill with a memory for CLI agents: given a résumé and a posting it fills what your record supports, drafts grounded prose when you allow it, and leaves the rest open rather than guessing.
Jev Agents & MCP#community#catalog-import#logicrw
13GitHub stars
Independent measurements of typed-decision models: Jev (TypeSafe API) against Laya (open weights) on 40 Chinese support-ticket classifications, plus a local-first cascade that matches Jev's accuracy at about 1.8x the speed.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
12GitHub stars
CLI and agent skill that finds useful notes in a local Obsidian vault or Logseq Markdown graph: it shortlists candidates on your machine, then has Jev rank them against your question and returns the exact source passage.
Jev Tools & CLIs#community#catalog-import#madewithjev
12GitHub stars
Watches X for the updates that matter to you, has Jev judge each post against a YAML profile, groups posts about the same story, and alerts you in Slack early enough to act.
Jev Tools & CLIs#community#catalog-import#logicrw
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
12GitHub stars
ProphetLab's Texas Hold'em benchmark and playground for decision models: separate cash and sit-and-go leaderboards, hand replays, a Jev-backed advisor, and bring-your-own-agent tables, all with virtual chips.
Jev Benchmarks & Evaluations#community#catalog-import#madewithjev
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
11GitHub stars
Browser-only Laya demo suite: four Vite apps — a Traditional Chinese decision playground, Gomoku, Big Two and a 3D maze — run the Laya ONNX model on-device through Transformers.js, downloading fp16 weights from Hugging Face on first use.
Jev Demos & Experiments#community#catalog-import#madewithjev
12GitHub stars
A local app that reads a few lines of notes about your product and lets Jev pick its way to a finished landing page: Jev never writes text, it only chooses between options, and code builds the page from those picks.
Jev Tools & CLIs#community#catalog-import#madewithjev
10GitHub stars
A native Swift implementation of OpenJev, the Jev-compatible typed-decision server: send a state and typed questions over a Jev-compatible HTTP API and read every answer from model probabilities, on Apple silicon Macs or inside iPhone and Mac apps.
Jev Repos & SDKs#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 small, idiomatic Elixir client for Jev: Jev.ask?/2 returns a real boolean, choose/3 picks among supplied options, score/3 rates ordered levels, and analyze/3 sends several typed questions in one provider request.
Jev Repos & SDKs#community#catalog-import#madewithjev
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
A pure-Rust port of Laya that answers typed questions — choice, score or yes/no — about any text in one batched forward pass, loading checkpoints from the Hugging Face Hub via candle and returning calibrated labels, scores and probabilities with no Python.
Jev Repos & SDKs#community#catalog-import#madewithjev
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 reverse-engineering attempt at Jev: three Qwen-based decision models with a LoRA tune plus pointer head that the README reports at 87.7-92.0% accuracy on a 975-question public benchmark, against 85.0% for hosted Jev.
Jev Models & Reimplementations#community#catalog-import#madewithjev
A curated list tracking the open side of the System One ecosystem — runnable Jev-like models, independent benchmarks, and calibration and constrained-decoding tooling — as the counterpoint to lists about the closed hosted Jev.
Jev Guides & Articles#community#catalog-import#cobanov
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
An experiment that drives Jev as an autoregressive next-token predictor: each step offers potential next tokens as choice options, and the resulting sequence of picks is the generated text. The author's verdict: it kinda works.
Jev Demos & Experiments#community#catalog-import#madewithjev
8GitHub stars
A hot list of the Jev ecosystem: it auto-discovers repositories, refreshes daily, sorts by GitHub stars and publishes a bilingual Chinese/English page, reporting 396 repos and 170,632 cumulative stars on 2026-10-15.
Jev Tools & CLIs#community#catalog-import#madewithjev
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

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 3919 entries from 293 source sites, last updated Nov 6, 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. 3919 of the 3919 entries carry one today.

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