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

By format

3739
  • Docs169
  • Repos & sites2980
  • Videos73
  • Posts103
  • Articles344
  • Playgrounds70

Updated

Browse the Jev AI model by category

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

Browse the Jev AI model by use case or industry

The same directory, sliced by what you are building and who you are building it for.

Jev use cases13 ways to put Jev to work, from classification and routing to decision gating and evaluation.
Jev industries14 sectors building with Jev, from software and security to healthcare and robotics.

All 3739 Jev AI model resources

Search the full directory, or filter by category and tag.

Showing 11 of 3739 resources

JevDo
27GitHub stars
A Jev-first agent loop for DeepSeek Harness: Jev reads the same assembled session and tool history as the main model and either dispatches a saved Action, asks the main model, clarifies, or ends the turn. Requests covered by verified Actions can finish with zero main-model calls.
Jev Agents & MCP#community#github#agent
Communityyinhong-zhou/jevdoTypeScript
APUS Reflex Agent
21GitHub stars
A developer-preview personal agent harness that turns a sequence of model calls into continuing work: understand the request, choose an action, execute, inspect evidence and recover context. You pick the general model and can optionally connect a Reflex/Jev decision service.
Jev Agents & MCP#community#github#agent
Communityapus-ai-lab/apus-reflex-agentTypeScript
claude-referee
8GitHub stars
An unofficial Claude Code plugin that checks 'done' claims and small judgement calls with TypeSafe Jev and keeps receipts: its done-gate can reject 'all tests pass' and ask for a real check, so evidence beats eloquence.
Jev Integrations & Adapters#community#github#claude-code
Communityismaildasci/claude-refereeTypeScript
Jev for Claude Code
0GitHub stars
An unofficial TypeSafe Jev integration for Claude Code with hooks that suggest skills, classify task type, pick subagent model tiers and gate risky shell commands. It also ships jev-vision for yes/no, pick-one and bounding-box questions about images.
Jev Integrations & Adapters#community#github#javascript
Communitypachelbel23/claude-code-jevJavaScript
System-One Control Bench
A benchmark asking how well individual decisions add up to a completed task: decision and chat models steer an agent through 100 grid puzzles, where Jev chooses an optimal move in about 90% of fixed exam positions yet finishes only 57 of 100 games.
Jev Benchmarks & Evaluations#community#benchmark#agent
Community
jev-clerk
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
Communitystas4000/jev-clerkPython
nethack-jev
3GitHub stars
TypeSafe Jev plays NetHack 5.0 with no LLM in the loop: each turn the code lists the legal moves, Jev picks one as a choice question, and a small motor translates the answer into keystrokes, with a live dashboard and Hardfought support.
Jev Demos & Experiments#community#catalog-import#logicrw
Communitystatico/jev-nethackPython
hermes-typesafe-jev
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
Communityandyholst/hermes-typesafe-jev
Jev plays Zork
1GitHub stars
An experiment where Jev plays Zork I: every turn Jericho supplies the valid actions and Jev answers one Choice of which command to type, with confidence bars, an anti-loop memory of the last 8 turns, a JSONL log and a French replay dashboard.
Jev Demos & Experiments#community#catalog-import#logicrw
Communityresadan-dev/jev-zorkPython
typesafeai-cli
2GitHub stars
An agent-first CLI for System One: ask, rank, extract, verify, screen, find, and decide from the shell, with an installable agent skill. Published on PyPI.
Jev Tools & CLIs#community#cli#agent
Communitymaddygoround/typesafeai-cliPython
Agent Skill
2.7kGitHub stars
Drop-in skill for Claude Code, Codex, and other agent environments that teaches the right way to structure states and questions.
Jev Tools & CLIsDocs#official#agent#skill
Officialtypesafe-ai/skills

Start here with the Jev AI model

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

Jev: For the Builders AND Dreamers (Jev 1.14)
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
Box Questions (Dreamer-Ready)
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
Jev 1.14 Day 0 Support in LiteLLM
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

Newest Jev AI model resources

The latest additions to the directory, newest first.

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: Decision Index 0.2.1 scores open reproductions of Jev on a frozen suite.

jackbravo4 pointsDecision Index 0.2.1 – 70 open reproductions of TypeSafe Jev's 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

Follow @typesafeai

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.