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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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3,739
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11
Official
102
Community
3,637
Source sites
292
Deep dives
3,739

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3739
  • Docs169
  • Repos & sites2980
  • 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 3739 Jev AI model resources

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Showing 49–96 of 161 resources

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
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
Turns any Hugging Face causal LM plus a few thousand labelled decisions into a Jev-style model that answers Choice, Score and Noul questions in one forward pass, with calibrated probabilities and zero generated tokens.
Jev Repos & SDKs#community#catalog-import#madewithjev
7GitHub stars
Jev-backed web search for Claude Code and Codex in three forms: a function-hook plugin that answers the built-in WebSearch with Jev, an MCP server, and a CLI. Jev picks sources and time window, then ranks results by relevance; zero runtime dependencies.
Jev Agents & MCP#community#catalog-import#madewithjev
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
6GitHub stars
A minimal coding agent that filters every tool result through Jev before the main model reads it, plus the A/B harness that measured pass@1 and cost. The final TB4 follow-up closed the experiment without an end-to-end win.
Jev Benchmarks & Evaluations#community#catalog-import#madewithjev
A lightweight Jev/System One compatible HTTP gateway that turns an existing SGLang or vLLM deployment into a decision service by scoring candidate tokens: no training, no weight changes, noul/choice/score in and probabilities out.
Jev Integrations & Adapters#community#catalog-import#madewithjev
6GitHub stars
An independent Apple Silicon runtime for Convai Innovations' Laya, a 421M ModernBERT-large typed-decision model: MLX GPU inference with optional Core ML Neural Engine bodies and a measured ANE/GPU batch router.
Jev Repos & SDKs#community#catalog-import#madewithjev
6GitHub stars
A Codex plugin that asks Jev which bulky tool results a long session still needs, then replaces the rest with a bounded head and a one-line note at the moment the output is produced.
Jev Agents & MCP#community#catalog-import#madewithjev
6GitHub stars
An experimental web app where Jev — handed typed chord questions, not text — improvises piano: describe a mood like a slow, sad waltz and it decides harmony, metre and tempo bar by bar. Live at jev-piano.zammitpaul.com.
Jev Demos & Experiments#community#catalog-import#madewithjev
5GitHub stars
An abandoned WeChat overlay experiment published with its post-mortem: it reads WeChat's local encrypted database and asks Jev to show emotion, subtext, intent and a suggested reply. The pipeline works, but the README says judgment accuracy fell short.
Jev Tools & CLIs#community#catalog-import#madewithjev
5GitHub stars
Chrome extension that classifies X posts with Jev and blurs chosen expression categories — discrimination, provocation, hatred, calls to attack, cynicism, resignation — behind a translucent overlay you can reveal with one click.
Jev Tools & CLIs#community#catalog-import#madewithjev
5GitHub stars
A local-first Codex plugin and skill that gives AI conversations a daily brain budget, scored locally by Laya rather than Jev. Windows tray card, optional macOS menu bar or web dashboard, mood memes, and English and Chinese interfaces; Python 3.10+.
Jev Tools & CLIs#community#catalog-import#madewithjev
5GitHub stars
The Go server, agent CLI and MCP for Laya - open horizontal System 1 decision models that score structured features and return ranked pattern probabilities instead of text. It ships a JEV compatibility API and a migration guide.
Jev Repos & SDKs#community#catalog-import#madewithjev
5GitHub stars
A C/C++ compiler driver that combines Clang's optimiser with Jev for function-call inlining at every discretionary call site. The project reports 58.2% code-size reduction on Statemate from the Embench benchmark; Linux with pinned LLVM 21.
Jev Tools & CLIs#community#catalog-import#logicrw
5GitHub stars
Route OpenAI Codex CLI turns through Jev: a local loopback Responses API proxy asks Jev to pick a Codex model and reasoning effort for each fresh turn, then forwards the request. If Jev is unavailable, Codex continues unchanged.
Jev Integrations & Adapters#community#catalog-import#madewithjev
4GitHub stars
A customizable linter that asks decision models like Jev and Clef your fuzzy rules — does the comments in this file repeat what the code says? — in a single Go binary with no runtime and minimal dependencies.
Jev Tools & CLIs#community#catalog-import#madewithjev
4GitHub stars
A research repository exploring which LLM-decision tasks Jev can accelerate, starting with a Codex plugin: Codex understands the goal and prepares inputs, Jev picks the next browser action, and the plugin executes it in local Chrome.
Jev Agents & MCP#community#catalog-import#logicrw
4GitHub stars
A Rust CLI and service for log triage at ingest: it collapses a stream into Drain templates, asks Jev a policy-driven set of typed questions once per new pattern, and routes every line to page, ticket or log.
Jev Tools & CLIs#community#catalog-import#madewithjev
3GitHub stars
A Chrome extension that files bookmarks by rules you write: you define categories and what each means in natural language, Jev applies them as one typed Choice per page, and the extension performs deterministic bookmark moves.
Jev Tools & CLIs#community#catalog-import#madewithjev
3GitHub stars
An open, local attempt to bring Jev-style typed decisions to images: a Qwen3-VL backbone returns numerical distributions for independent choice, score and noul questions without generating answer text.
Jev Models & Reimplementations#community#catalog-import#madewithjev
3GitHub stars
A Hermes Agent plugin that puts typed Jev judgments in front of the background skill curator: per-pair relation choices and coverage probabilities feed star-shaped merge plans, while core keeps ownership of every mutation.
Jev Agents & MCP#community#catalog-import#madewithjev
3GitHub stars
Jev-powered memory layer for AI agents that runs as a Hermes memory provider: it asks Jev to judge every eligible memory against short criteria and returns the original evidence, with Mnemosyne-compatible storage and no embedding model or vector index.
Jev Integrations & Adapters#community#catalog-import#madewithjev
3GitHub stars
Fish-style zsh autosuggestions ranked by Jev instead of prefix matching: as you type, it asks a model which recent command you are most likely retyping and shows the best guess as grey inline text you accept with the right arrow.
Jev Tools & CLIs#community#catalog-import#madewithjev
A zero-label dining decision web app built on Jev's System 1 probabilistic decisions: type a plain-language craving like I got soaked and want hot soup, and it answers with a decisive pick, a two-way duel, a reasoned impasse, or a blind box.
Jev Tools & CLIs#community#catalog-import#madewithjev
3GitHub stars
A Chrome extension that reorders the Gmail message list on screen only - unread first, critical messages on top - using Jev to score each row's urgency and criticality and to answer one boolean question per custom label.
Jev Tools & CLIs#community#catalog-import#madewithjev
3GitHub stars
A benchmark for how efficiently decision models plan across multi-step problems: models that explore fewer unnecessary intermediate states score higher, and a perfect score means beelining along a shortest path. Seven domains, seeded trials and classic baselines.
Jev Benchmarks & Evaluations#community#catalog-import#madewithjev
An Agent Skill and Python workflow that pairs the official Clay CLI with TypeSafe Jev: Clay retrieves people matching deterministic filters, then Jev Choice and Noul decide whether each candidate really holds a current operating founder role before enrichment.
Jev Agents & MCP#community#catalog-import#madewithjev
3GitHub stars
A private Mac voice diary: Parakeet transcribes your voice on-device, TypeSafe Jev splits each capture into separate thoughts and files them into Notion as notes, tasks and reminders, and nothing is saved until you approve it.
Jev Tools & CLIs#community#catalog-import#madewithjev
A voice-driven control layer for macOS: speak a goal and the Mac does it, watching the screen through the accessibility tree with everything running locally. Jev is the fallback, not the router — deterministic matching resolves commands in about 50 ms.
Jev Tools & CLIs#community#catalog-import#madewithjev
A Codex plugin that routes skills with Jev: it evaluates eligible skills and passes the selected names, paths and relevance probabilities to Codex, records every decision locally, and ships a dashboard for selection rates and skill rankings.
Jev Integrations & Adapters#community#catalog-import#madewithjev
2GitHub stars
A Chrome extension that hides posts you do not want on your X timeline: tap noise bubbles or type rules in plain words, and Jev judges each tweet one-shot before it scrolls into view. Good hide and Shouldn't have hidden answers stay local as an eval set.
Jev Tools & CLIs#community#catalog-import#madewithjev
2GitHub stars
A Jev-native router for Codex: before the coding model is invoked, Jev picks a native tool call from a small set of bounded reads, and Codex executes it through its own runtime and sandbox, keeping the result in the conversation.
Jev Integrations & Adapters#community#catalog-import#madewithjev
2GitHub stars
A bash-native CLI from Parall that gives an agent Jev as an atomic tool: pipe any event stream through a plain-English question and it prints only the lines that pass, composing with the tools your agent already pipes.
Jev Tools & CLIs#community#catalog-import#madewithjev
2GitHub stars
A 100% offline, zero-cost Rust drop-in for the TypeSafe Jev System One API: one native binary serves Choice, Score, Noul and Route decisions on CPU in under 18 ms with no API keys, cloud egress or rate limits.
Jev Repos & SDKs#community#catalog-import#madewithjev
2GitHub stars
Fire-evacuation simulation where every occupant gets a Jev-style typed decision engine: a local Ternary Bonsai 2 27B, Qwen3.5-4B or the TypeSafe Jev API reads choice probabilities, while movement runs on validated social-force physics.
Jev Demos & Experiments#community#catalog-import#madewithjev
1GitHub stars
Documentation hub for wiring Jev into Hermes Agent, Nous Research's autonomous agent framework: Choice, Noul and Score arrive as MCP-style tools, with context curation, turn admission and receipt-backed verification described end to end.
Jev Agents & MCP#community#catalog-import#madewithjev
1GitHub stars
An open-source, Jev-compatible System One model: Dex answers choice, score and yes/no questions over text in a single forward pass from an Ettin-1B encoder, and speaks the same /v1/systemone shape as Jev.
Jev Models & Reimplementations#community#catalog-import#madewithjev
1GitHub stars
A toolkit that turns an agent skill into a project-specific Oxlint plugin: deterministic AST checks handle structural rules while Jev answers the narrow typed questions that need contextual judgment.
Jev Tools & CLIs#community#catalog-import#madewithjev
1GitHub stars
A judgment layer for agents that starts with Claude Code: a PreToolUse hook asks a YAML policy you own a handful of plain-English questions about every proposed tool call, and Jev returns calibrated probabilities so thresholds — not a frontier LLM — decide allow, deny or silence, for about four cents a day.
Jev Agents & MCP#community#catalog-import#madewithjev
1GitHub stars
Ctrl+F for questions: an open-source Chrome extension that splits a page into passages, has Jev score them against your question in parallel — 8 passages per request — and jumps to the ones that answer it. Measured at 0.4 to 0.9 seconds and $0.0005 to $0.007 per search.
Jev Tools & CLIs#community#catalog-import#madewithjev
Jev plays Minesweeper against the full wiring of an adult fruit fly brain: both see only revealed clues on the same seeded 9×9 boards, Jev judging every covered square safe or mined. Over 16 held-out boards the fly averaged 59.8 safe squares and Jev 59.1, against 52.6 for random clicks.
Jev Demos & Experiments#community#catalog-import#madewithjev
1GitHub stars
A native macOS utility that decides which listening ports are safe to stop: one Jev question per process turns a locally collected dossier into a typed verdict — stop, keep or your decision — with the evidence and the most material missing fact. Only you can confirm a stop.
Jev Tools & CLIs#community#catalog-import#madewithjev
1GitHub stars
A Node 24 GitHub Action that classifies issues and pull requests with a typed Decisions API and adds only the labels the available evidence supports. It can call Jev through TypeSafe, OpenRouter (the default) or OpenAI's gpt-6-luna, and never removes, replaces or creates labels.
Jev Integrations & Adapters#community#catalog-import#madewithjev
1GitHub stars
A Claude Code and Codex skill with a CLI that answers narrow agent judgments - is this file relevant, which team owns this request, how severe is this - with Jev's calibrated probabilities instead of another LLM call. Zero dependencies, MIT.
Jev Agents & MCP#community#catalog-import#madewithjev
1GitHub stars
Experimental deterministic model routing for coding agents with Jev in the loop: assign capabilities to models and copy one workflow prompt into Codex Desktop. The author's own Pokédex pilots did not show a cost win and he recommends against adopting it.
Jev Tools & CLIs#community#catalog-import#madewithjev
Obsidian plugin that searches a vault locally and offline with BM25 and no API key, then reranks the top candidates with Jev only after you approve exactly what gets sent. The README reports nDCG@10 rising from 0.53 to 0.88 on 120 queries.
Jev Tools & CLIs#community#catalog-import#madewithjev

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 3739 entries from 292 source sites, last updated Oct 25, 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. 3739 of the 3739 entries carry one today.

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