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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 1825–1872 of 3919 resources

A dependency-free JavaScript library that maps uploaded CSV columns onto your destination schema: a strict normalized-name pass first, then one Jev boolean per remaining source-destination pair plus a guard question per column, leaving uncertain fields visible instead of guessed.
Jev Tools & CLIs#community#csv#data-import
5GitHub stars
A pre-release Python framework for predictions on mixed text and tabular data: Jev Noul and Score questions turn text columns into numeric features, then a tabular foundation model such as TabPFN learns from labeled rows in context. Offers hosted and fully local backends.
Jev Repos & SDKs#community#tabular#predictions
3GitHub stars
A bring-your-own-key Chrome extension that asks Jev one slop/not_slop Choice per X or LinkedIn post as it scrolls into view, then blurs and stamps anything at or above a configurable threshold. Scrolling never blocks, and each post is scored once from a local cache.
Jev Tools & CLIs#community#chrome-extension#moderation
1.6kGitHub stars
An MIT-licensed, local-first conversation memory app that transcribes meetings, calls and voice memos on-device into Markdown you own. Its live voice path runs evaluations through Jev, and 34 MCP tools plus a 58-command CLI let coding agents query the history you choose to share.
Jev Integrations & Adapters#community#mcp#transcription
3GitHub stars
The first Chinese-language calibration benchmark for Jev-class System One decision models: 378 items and 467 questions across voice routing, e-commerce service and content moderation, with accuracy, ECE, Brier, NLL, AUROC, option-order and zh-CN/zh-TW robustness metrics.
Jev Benchmarks & Evaluations#community#benchmark#calibration
A local winner-stays-on tournament where up to 2,569 animals fight one on one and every fight is one Jev Choice between two names under arena rules held in state. A measured 1,999-fight run took about 16 seconds, 64 API calls and roughly US$0.01.
Jev Demos & Experiments#community#game#tournament
7GitHub stars
An independent, Jev-inspired System One engine written in C# and .NET 10: a pinned Laya/mmBERT checkpoint runs through pure C# CPU and CUDA kernels with Native AOT, returning typed Choice, Score and Boolean decisions to .NET applications. Probabilities are explicitly uncalibrated.
Jev Models & Reimplementations#community#dotnet#inference
3GitHub stars
A Python decision gateway and stdio MCP server that exposes Jev through OpenRouter's alpha decisions endpoint. Five tools cover yes/no checks, classification, scoring, multi-question evaluation and health, with bounded retries, validated answers and local diagnostics.
Jev Agents & MCP#community#mcp#openrouter
8.2kGitHub stars
A semantic cache for LLM queries, fully integrated with LangChain and llama_index. Zilliz's cache integrates TypeSafe Jev Noul checks to evaluate cache hit freshness and time-dependent query validity, cutting repeated requests and API cost.
Jev Integrations & Adapters#community#semantic-cache#langchain
0GitHub stars
A Python library that turns Jev into a bisection oracle: it repeatedly asks higher, lower or exactly about the midpoint of a numeric range and returns the answer, turn count and full decision history. Built on the official TypeSafe Python SDK and installable from PyPI.
Jev Repos & SDKs#community#bisection#numeric-search
1GitHub stars
A lightweight Chrome extension that scores selected webpage text for how strongly it resembles AI-generated writing, using Jev inline in the browser after a right-click or Cmd/Ctrl+Shift+Y. It aims to give readers an uncertainty-aware signal without interrupting reading.
Jev Tools & CLIs#community#chrome-extension#ai-detection
0GitHub stars
A browser extension plus Cloudflare Worker that scores search results before you click: Jev answers six questions per page (relevance, depth, SEO filler, sales page, page type, key passage) and code combines them into a 0-100 badge that re-ranks Google, Bing, DuckDuckGo and 104.com.tw.
Jev Tools & CLIs#community#browser-extension#search
29GitHub stars
A DeepSeek Harness plugin where Jev Choice and Noul checks gate every non-read-only tool call - deny confident high-risk calls, escalate ambiguous ones, auto-approve clearly granted reversible ones - and optionally score session messages so valuable context survives instead of being dropped oldest-first.
Jev Tools & CLIs#community#plugin#guardrails
11GitHub stars
Kernel-enforced runtime security for AI agents with eBPF/LSM: policy decides file, exec, package-install and MCP operations at the syscall, while Jev can run as an optional checks provider whose verdict can only raise severity. The Jev checks layer is off by default.
Jev Tools & CLIs#community#security#ebpf
8GitHub stars
Epistemic runtime for autonomous coding agents that uses Jev as a sub-100ms System 1 gate to shadow-evaluate capsule facts, propose evictions before bloat and prefetch memory between turns. Its fixture run reports 31.3% fewer turns and 52.6% fewer blind discovery operations, with a fail-open circuit breaker.
Jev Integrations & Adapters#community#agents#context-engineering
Agentic search evaluation inside Zilliz DeepSearcher: a standalone harness replaces the ChainOfRAG reflection call with one Jev Noul per round to decide whether to stop within a seven-round budget, then compares stopping behavior, evidence recall and decision cost on 100 sampled 2WikiMultiHopQA queries.
Jev Benchmarks & Evaluations#community#rag#evaluation
OpenClaw plugin and CLI that turn a plain-language --when/--not-when condition into a scheduled trigger script. Each tick sends one Noul through OpenClaw's decisionModel and only wakes the conversation model when the condition reaches 0.7 or above; a 76-tick benchmark reports 75 correct judgments and 0 false wake-ups.
Jev Tools & CLIs#community#automation#openclaw
117GitHub stars
Open decision models from a self-improvement loop that publishes every experiment, failures included. They answer Noul, Choice and Score questions on the same POST /v1/systemone wire format as Jev, returning a calibrated probability per option in one forward pass; the 27B scores 65.64 on the Decision Index 0.3 set.
Jev Models & Reimplementations#community#decision-models#system-one
0GitHub stars
Calibre plugin that asks Jev typed questions about each book's genre and subjects, applies configurable per-category probability thresholds, preserves existing tags and leaves uncertain results for manual review. Supports single-book, selected-books and whole-library classification with caching, CSV export and restore.
Jev Tools & CLIs#community#calibre#library
4GitHub stars
On-call tooling where Jev answers four typed questions per alert - actionable, severity, owning team and duplicate-of - and plain code routes, pages or drops. Includes a root-cause benchmark where Jev and code investigate recorded incidents with no general-purpose LLM in the loop, enforcing budgets and verification.
Jev Integrations & Adapters#community#alerting#incident-response
0GitHub stars
MCP server and Claude Code plugin that files each captured note, link or meeting line with one Jev request: kind, project, action and duplicate questions answered in parallel. Routes to a project only at 0.45 or above, marks a duplicate only at 0.70 with a matching item, and stores text verbatim in append-only JSONL.
Jev Agents & MCP#community#mcp#note-taking
0GitHub stars
Independent pre-registered audit of Jev on Spanish: 19,200 calls over 3,200 paired items on XNLI, PAWS-X, MASSIVE and Belebele. A Spanish state costs 3.0-6.4 accuracy points and roughly doubles ECE on the two hardest tasks, while Spanish instructions change nothing; a CLI reruns the same comparison on your own data.
Jev Benchmarks & Evaluations#community#evaluation#calibration
Notebook benchmark that compares Jev with open models and specialised tools on five document-pipeline chores: language detection (Choice(12)), page orientation (Choice(4)), RVL-CDIP classification (Choice(16)), bundle splitting and parse-tier triage, with liteparse doing all PDF rendering and OCR work.
Jev Benchmarks & Evaluations#community#evaluation#document-processing
34GitHub stars
Kotlin NES emulator whose agent plays Super Mario Bros. and Final Fantasy through typed decisions. Each turn becomes one Choice over goals that can actually run, wired through SemIf against a local Qwen3.5-4B, so a button the game does not offer is never an option; 900 logged decisions never answered off-menu.
Jev Demos & Experiments#community#emulator#gaming
192GitHub stars
Vercel's official AI SDK for Python, in public beta: streaming models, agent tool loops, hooks for human approval and structured output, with provider IDs routing through AI Gateway by default. The SDK's evaluation operation and Gateway examples carry Jev as a decision and evaluation provider.
Jev Repos & SDKs#community#sdk#vercel
21GitHub stars
Self-hosted Python SDK and System One-compatible API for runtime-defined Choice, Boolean and Score decisions on pinned open models, across Torch, vLLM, MLX, llama.cpp and WebGPU. Each result records probabilities, token usage, timing, model revision and prompt version, with committed row-level benchmarks.
Jev Repos & SDKs#community#sdk#self-hosted
5GitHub stars
Independent C++20 library for typed, model-backed routing, classification and scoring. Compile-time enum schemas define Choice, Noul, Score and Probability answers with abstention; local Laya inference runs through ONNX Runtime or ggml, and an opt-in remote backend speaks the same typed API with hosted inference.
Jev Repos & SDKs#community#cpp#library
Custom ComfyUI node that routes a prompt to one of three workflow templates using a Jev decision instead of a keyword match. Supports noul, choice (up to 255 options) and score (2-10 levels) questions with parallel evaluation, exponential-backoff retries and full probability distributions as node outputs.
Jev Integrations & Adapters#community#comfyui#image-generation
11GitHub stars
Local-first knowledge search with seven selectable pipelines: BM25 plus Jev reranking is the default vector-free path, plus agentic, embedding-hybrid, taxonomy, gate and line-search modes. Reranks up to 30 candidates in one batched set of Jev Noul relevance questions and streams cited answers from a configurable model.
Jev Integrations & Adapters#community#rag#retrieval
Native DeepSeek Harness (DSH) plugin that uses Jev or Luna Decisions as a System One judgment layer across 12 separately configurable features: skill selection, file ranking, drift reminders, completion checks, goal supervision, corrections, log admission and workspace approvals. All features ship disabled by default.
Jev Tools & CLIs#community#deepseek#plugin
0GitHub stars
CLI quality gate that asks four typed questions about each change - three Score lenses for commit quality, doc alignment and breaking-API risk, plus a Noul secret audit - and fails a diff, commit message or doc set below the resulting 0-100 score. Runs from a terminal, a git pre-commit hook or a GitHub Action.
Jev Tools & CLIs#community#quality-gate#ci-cd
27GitHub stars
Scanner pipeline that fingerprints each target with 30+ signal types, then asks Jev to score every Nuclei template 0-4 for relevance so high-value checks run first while all templates still run. A tag-based prefilter keeps about 8.6% of 13,764 templates with 100% recall on score >= 3, saving ~91% of scoring tokens.
Jev Tools & CLIs#community#security#nuclei
861GitHub stars
Verifiable coding agent runtime with 855 stars. Ships a first-class Jev structured-output provider so agent decisions come back typed through the same decision resolver as its other providers, alongside plain-English workflows, approval gates and evidence-backed verification stages.
Jev Integrations & Adapters#community#coding-agents#verification
187.6kGitHub stars
Autonomous agent platform with 187,504 stars for building and running agents from plain English or a visual builder. Its platform features first-class TypeSafe Jev decision blocks for typed routing, filtering, scoring and confidence-gated next-action dispatching.
Jev Integrations & Adapters#community#autonomous-agents#platform
13GitHub stars
Open-source, pre-alpha CLI that runs plain-English browser tests on Playwright, using Jev for bounded decisions: resolving each step, picking elements among offered candidates and judging verify claims with probabilities. Bring your own TypeSafe key; MIT licensed.
Jev Tools & CLIs#community#e2e-testing#playwright
2.2kGitHub stars
Open recipe for a local Jev-style decision model: a Qwen3.5-9B LoRA that scores one allowed answer token per Choice, boolean or rubric Score question, with data pipeline, training config and eval harness. Reports 90.1% on its 324-example holdout against Jev's 93.2%.
Jev Models & Reimplementations#community#lora#qwen
23GitHub stars
MIT-licensed Python tool router for coding agents that keeps obvious calls on a fast path, asks Jev (default typesafe/jev-1.13 via OpenRouter) for genuinely ambiguous choices, and can run bounded MCTS when multi-step consequences matter. Ships a CLI, MCP server and hook integrations.
Jev Tools & CLIs#community#routing#mcp
0GitHub stars
Python sandbox and tutorial companion that turns Jev Choice and Noul judgments about issue category and reproduction into code-applied queue proposals, with confidence gates, a review fallback, synthetic offline fixtures and labeled replay. Live mode is opt-in.
Jev Guides & Articles#community#issue-triage#guardrails
4GitHub stars
Alpha playground that answers plain-English questions over SQLite by composing small Jev decisions -- table, column, comparison and operand selection -- into inspectable typed plans, deterministic SQL and previewed guarded writes. Bundles Cyberchase, DESE and Moneyball databases.
Jev Integrations & Adapters#community#sqlite#text-to-sql
2GitHub stars
MIT-licensed Chrome extension that asks Jev whether the page, video or post you are on serves your written goals -- a category Choice, a goals Noul and a 0-4 waste-of-time Score -- then blocks or blurs in code, tightening thresholds at 2, 10 and 20 minutes of engaged time.
Jev Integrations & Adapters#community#chrome-extension#digital-wellbeing
Independent evaluation running Jev jev-1.13.0 and GPT-4.1 as the same 300 Twin-2K-500 synthetic survey respondents across 24,596 paired cells, finding that asking a yes/no item as a Noul rather than a Choice moved results more than the model gap, at a thirty-fourth of the cost.
Jev Benchmarks & Evaluations#community#benchmark#calibration
3GitHub stars
System One Mosaic Benchmark: a Python evaluator and Next.js viewer comparing Jev and open decision models across 137 English Choice, Noul and Score benchmarks from 106 dataset subsets, with recorded evaluation conditions and a public Hugging Face leaderboard.
Jev Benchmarks & Evaluations#community#benchmark#leaderboard
1GitHub stars
Interactive media artwork where one post meets 100 fictional observers: for each observer the app asks Jev one Choice plus four Score questions (500 questions total), animates the eyes in Three.js and later exposes the full distribution of reactions in a post-analytics view.
Jev Demos & Experiments#community#interactive-art#threejs
35GitHub stars
Cline's official curated plugin collection for its CLI and extensions. Includes jev-browser, which executes browser goals with Jev through Vercel AI Gateway plus screenshots and isolated Chromium sessions; plugins install by directory slug, e.g. cline plugin install jev-browser.
Jev Tools & CLIs#community#cline#plugins
2GitHub stars
Zero-dependency Python CLI that routes small semantic judgments to Jev for agents and CLI pipelines: choose (Choice), check (Noul), score (ordered ratings), batch (1-32 questions in one request) and purify (verbatim passage extraction). GPL-3.0 licensed.
Jev Tools & CLIs#community#cli#decision-routing
29.8kGitHub stars
Open-source workspace with 29,796 stars for building, deploying and monitoring AI agents and workflows -- visual builder, chat, tables, files and knowledge -- featuring native TypeSafe System One evaluation and decision provider integration.
Jev Integrations & Adapters#community#agents#workflow-automation
8GitHub stars
Elixir client for System One decision models -- TypeSafe Jev (default), Cloudflare Clef, OpenRouter's decisions endpoint and any self-hosted /v1/systemone server -- returning typed answers with full probability distributions, retries, telemetry and a no-network stub for tests.
Jev Repos & SDKs#community#elixir#client
Reproducible recruiting cookbook that screens one resume against a job description in a single parallel Jev request of five Noul evidence gates, four Score dimensions and one background-routing Choice, with criteria iterated v1 to v3 against positive, negative and trap resumes.
Jev Cookbooks#community#recruiting#resume-screening

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.