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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.

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

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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 769–816 of 3919 resources

A community OpenClaw plugin that connects tev1:0.8b and tev1:4b, running locally in Ollama, to OpenClaw's Decision model role, so classify, choose and score questions resolve on a local /v1/systemone endpoint with no cloud key.
Jev Integrations & Adapters#community#github#openclaw
0GitHub stars
A GitHub repository simply named Jev, created and pushed on 2026-10-02 with 0 stars, 0 forks, and no listed language, license or description; the sweep captured no README, so what it contains and how it relates to TypeSafe's model cannot be confirmed.
Jev Repos & SDKs#community#github#unverified
A single self-contained HTML page with eleven live demo levels of Jev, from simple yes/no questions up to an agent that decides when to call the model, plus a bonus Three.js Crossy Road that Jev plays live; download the file, paste an OpenRouter key and press Call Jev.
Jev Demos & Experiments#community#github#html
0GitHub stars
A reference Telltale analyzer.v1 extension that asks a TypeSafe System One model (Jev) narrow typed questions about agent actions, with the questions defined in configurable guard packs while Telltale keeps its deterministic rules, policy and telemetry.
Jev Integrations & Adapters#community#github#rust
0GitHub stars
A Python decision engine described as calibrated and non-autoregressive, running in under 4 ms on CPU and powering dual-process agent reflexes, Antigravity IDE lifecycle hooks, an MCP server and OS automation; its system-one topics frame bounded, typed decisions, but the digest captured no README.
Jev Repos & SDKs#community#github#python
0GitHub stars
A Quarkus proof of concept that dispatches support tickets with Jev: one call answers urgency as a noul, the best-placed team as a choice and severity as a score, and low-confidence tickets go to review instead of being assigned automatically.
Jev Demos & Experiments#community#github#java
0GitHub stars
A docker compose recipe that self-hosts Kev-4B, the open-weight SystemOne decision model, behind a TypeSafe-compatible POST /v1/systemone API, downloading the adapter and Qwen3.5-4B-Base weights on first start and caching them in a named volume.
Jev Repos & SDKs#community#github#docker
A real-time alien shooter whose player is driven by Jev System 1: instead of hard-coded movement and shooting logic, the AI reads the game state and makes deterministic picks between left, right or stay, and between firing or holding fire.
Jev Demos & Experiments#community#github#python
0GitHub stars
A one-file Python client for the Ollama System One decision endpoint that adds image judging, fallback of uncertain answers to a stronger model and pre-flight size checks on top of what the official ollama package offers, with requests as its only dependency.
Jev Repos & SDKs#community#github#python
A tiny prompt-injection guard built on the Jeff System One decision model: a 10.5M-parameter LoRA over Jeff-Qwen3.5-0.8B that screens text an agent is about to read in one forward pass of about 20 ms, across 12 languages including agentic injections.
Jev Models & Reimplementations#community#github#python
0GitHub stars
An R client for Jev built directly against the HTTP API, because TypeSafe publishes Python and JavaScript SDKs only: declare typed questions once with helpers like jev_choice and jev_score, run them vectorized over states, and keep the raw responses.
Jev Repos & SDKs#community#github#r
Communitydhicks/coalR
0GitHub stars
A community Java 26 SDK for the TypeSafe Jev API: typed questions and calibrated answers as noul, choice or score, with retries, timeouts, virtual threads and an optional structured-concurrency module, plus Spring Boot 4 and offline triage samples; Jackson 3 is the only dependency.
Jev Repos & SDKs#community#github#java
0GitHub stars
An open-source, vendor-neutral web UI sandbox for /v1/systemone structured decision models such as TypeSafe Jev and Ollama clef: visualize Choice, Score and Noul probabilities, compare endpoints A/B, and export SDK calls, with a built-in mock that needs no network.
Jev Tools & CLIs#community#github#nextjs
0GitHub stars
A Go CLI that scores how well a resume fits a job posting with Jev, in under a second and for about $0.0001, and shows which requirements the resume covers; the README claims roughly 18 times the speed of a frontier-model prompt.
Jev Tools & CLIs#community#github#go
0GitHub stars
System One routing for coding agents where Jev decides and the LLM generates: an OpenCode v2 plugin, Cursor hooks and a skill cover turn steering, tool-call redirects, permission gating, failure advice, subagent routing, code review and on-demand jev_ask decisions.
Jev Integrations & Adapters#community#github#opencode
0GitHub stars
A C# library that puts TypeSafe Jev, a local model in a constrained-decoding harness and a test fake behind one IDecider interface, returning a chosen value with its confidence, the full options distribution and an abstain flag instead of free text.
Jev Repos & SDKs#community#github#csharp
A .NET 10 client and runnable examples for Ollama's System One decision API, covering all three structured outputs — choice, yes/no probability and score — with a support-ticket sample that classifies the responsible team, refund intent and urgency.
Jev Repos & SDKs#community#github#csharp
0GitHub stars
A decoupled action guardrail powered by Jev: any system sends what it was about to do and gets back allow, deny or review, with Jev answering typed Choice, Score and Noul questions and a deterministic policy engine composing the verdict from them.
Jev Tools & CLIs#community#github#guardrails
0GitHub stars
A GitHub repository named JEV, created and pushed on 2026-10-08 with 0 stars, 0 forks, and no listed language, license or description; the sweep captured no README, so its contents and any link to TypeSafe's Jev model remain unverified.
Jev Repos & SDKs#community#github#unverified
0GitHub stars
An HTML repository whose GitHub description calls it the SystemOne Blueprint — a plan for turning any LLM into a fast, calibrated decision engine. No README, topics or license were captured in the round-eleven sweep, so the method behind it cannot be inspected.
Jev Guides & Articles#community#github#system-one
0GitHub stars
A self-hostable Discord auto-moderation bot written in Go and powered by Jev, TypeSafe's System One model: it reads every message, asks Jev whether it breaks server rules, and a deterministic policy turns the answers into flags, deletions or timeouts.
Jev Tools & CLIs#community#github#go
An MIT-licensed case study with two working Python programs pairing Jev and Claude Code: a support-triage app with Jev inside it, and a Claude Code safety hook where Jev judges the agent's own shell commands. Tests and evals run offline, free.
Jev Practices & Patterns#community#github#python
An OpenClaw decision-model provider for any server that speaks the System One API: Kev, a llama.cpp router, or your own. It adds a System One model to the Control UI decision picker, and unlike the official plugin it accepts non-loopback base URLs and an API key.
Jev Integrations & Adapters#community#github#typescript
0GitHub stars
An audio-first Socratic language-tutoring web app whose lessons stay on track with a TypeSafe/Jev Governor: System 1 evaluates every turn for topic drift, FSM state and Socratic compliance, never generating content. FastAPI backend, Next.js frontend.
Jev Tools & CLIs#community#github#python
A Korean Slidev course — 59 slides, 110 minutes plus deep-dive Q&A — with three standalone Jupyter notebooks that take Jev decision models from NLL/Brier/ECE calibration to training a Qwen-based Jev-compatible model with Unsloth and testing its HTTP API.
Jev Guides & Articles#community#github#korean
0GitHub stars
A Rust client for System One models — which answer fixed questions with calibrated probabilities instead of generating text — whose first backend is TypeSafe AI's Jev. It layers cost-matrix decisions, caching, recording and calibration on top.
Jev Repos & SDKs#community#github#rust
A small Python sample that uses OpenThai-SystemOne to recommend which of Windows, macOS, Linux Desktop, Android and iOS/iPadOS best fits a user's needs. A generic decision() helper builds one Noul question per option and sorts the match scores.
Jev Demos & Experiments#community#github#python
0GitHub stars
An open-source Discord moderation bot powered by Jev. Owners sign in to a hosted dashboard, add the bot, supply their own TypeSafe key, test in Monitor only mode, then let Jev rules log, delete or time out spam, phishing, harassment, hate and threats.
Jev Tools & CLIs#community#github#typescript
0GitHub stars
Runnable Python examples for Jev, TypeSafe's first System One model: the README explains the three typed question primitives — Choice, Score and Noul — gives a venv install for Python 3.10+ and is explicit that the model cannot chat or generate text.
Jev Cookbooks#community#github#python
An explainable intent router that cascades regex, TF-IDF with CatBoost, System One decision models (Laya, Jev, CLM) and a generative LLM fallback, answering from the cheapest engine able to decide and leaving a replayable decision record. Runs fully local.
Jev Tools & CLIs#community#github#python
A Japanese working repository that gathers Jev environment setup, notes and tooling: an MCP server pinned to clef:flash, a Claude Code skill for deciding when to delegate to a decision model, call logs and a small evaluation set of delegation tasks.
Jev Agents & MCP#community#github#mcp
0GitHub stars
A voice agent for property management that chases late rent: Stripe payment failures start a Vercel WorkflowAgent call, Supabase stores tenancy and landlord limits, and Jev supplies judgment where a call needs it. Safeguards include AI disclosure.
Jev Agents & MCP#community#github#typescript
0GitHub stars
An MIT-licensed TypeScript bridge that brings System-1 decision models into Prime Agent v0.9.8+ as a decision layer with safety governance and a host bridge. The README advertises 185 passing tests at v0.1.0 and POSIX-only support.
Jev Integrations & Adapters#community#github#typescript
0GitHub stars
The nano tier of local Jev: a /v1/systemone-compatible typed-decision server — noul, choice and score questions with probabilities — running a 7M-parameter model CPU-only from an 8MB tarball. Point any Jev/TypeSafe SDK client at it via base_url.
Jev Models & Reimplementations#community#github#local
0GitHub stars
A Chrome extension that answers questions about any YouTube video by asking Jev which transcript window holds the answer: a Choice over about 30-second window ids plus a Noul for whether the video covers it at all, then it jumps to the moment.
Jev Tools & CLIs#community#github#javascript
A provider-neutral .NET SDK for decision models — structured questions answered with probabilities instead of generated text. Its primary model is Cloudflare Clef, and settings switch it to Cloudflare Workers AI, OpenRouter or any compatible server.
Jev Repos & SDKs#community#github#csharp
A Spanish-language POC that puts a System One decision model (Jev/Laya) in front of three coding agents — Pi, OpenCode and DSH — so the route (inspect, implement, test or ask) is decided before the agent starts. The integration works; the cost savings did not appear.
Jev Demos & Experiments#community#github#javascript
A Chinese-language share pack on Jev and decision models: two long-form documents, eleven runnable Python examples, a live-demo notebook and a slide deck, covering the three primitives, batch calls, a confidence gate with LLM fallback and Chinese evaluation.
Jev Cookbooks#community#github#python
An unofficial, community-maintained Go client for the TypeSafe System One API: send one state and a set of typed questions, and get one answer per question, each bound to the Go type you declared the question with.
Jev Repos & SDKs#community#github#go
Content moderation with asymmetric thresholds built on Jev: three bands, approve, shadow and remove, where the README's rule is that removing good content is worse than leaving bad content up, so the removal bar sits higher than the approval bar.
Jev Tools & CLIs#community#github#python
0GitHub stars
A two-stage email triage agent built with Jev: stage one classifies each email, hard rules in code decide whether stage two runs, and stage two drafts a reply only when a reply is expected and it is safe to auto-send.
Jev Agents & MCP#community#github#python
0GitHub stars
A local workbench for System One-style models on Apple Silicon Macs: it serves Laya through MLX or Core ML behind a Jev-compatible /v1/systemone endpoint, proxies other Jev-compatible servers like Jeff and Kev, recommends models and evaluates them on Japanese data.
Jev Tools & CLIs#community#github#python
A small proof-of-concept app that runs local Laya and external System One-family APIs in one judgment UI: it executes typed questions against a state and compares choice probabilities, yes/no probabilities and ordinal scores across providers.
Jev Demos & Experiments#community#github#python
A short personal note repo about Jev: it argues that a fast decision model beats a generative LLM for small choices such as picking the best phone from a list, and can also choose which tool to use inside larger video or essay tasks.
Jev Guides & Articles#community#github#notes
0GitHub stars
A multiplayer, cross-platform terminal RPG that implements the Jev System-One decision engine as tri-state stochastic dice, with a shared terminal session across PC and mobile and bring-your-own-compute through Edge, Ollama, WebLLM or cloud keys.
Jev Demos & Experiments#community#github#game
0GitHub stars
A minimal web UI for Jev, TypeSafe AI's first System One model: enter a free-text state, add typed questions, and Jev evaluates them all in parallel in one request, returning structured answers with calibrated probabilities instead of generated text.
Jev Tools & CLIs#community#github#javascript
A Rust client for the TypeSafe AI systemone API: ask named questions about text or structured state and get back typed, probabilistic answers, positioned by the README as a Rust counterpart to the official TypeSafe JavaScript SDK.
Jev Repos & SDKs#community#github#rust
Typed decisions from System-1 models, TypeSafe Jev directly or through Cloudflare AI Gateway plus Laya, with Promise and Effect-native clients that share one set of question definitions and never invent a probability, threshold or model version.
Jev Repos & SDKs#community#github#typescript

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.