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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
3,724
Categories
11
Official
102
Community
3,622
Source sites
292
Deep dives
3,724

By format

3724
  • Docs169
  • Repos & sites2965
  • 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 3724 Jev AI model resources

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Showing 97–144 of 322 resources

5GitHub stars
An open-source BYOK Chrome extension that applies personal, reversible filters to the X timeline: you choose interests, weights and thresholds, Jev scores eligible post text remotely, and every display decision stays on your device.
Jev Tools & CLIs#community#catalog-import#logicrw
5GitHub stars
A browser automation CLI for AI agents: drive Chrome with natural language in an interactive terminal or structured commands like jevb page act, signed in with a TypeSafe or OpenRouter key. Prebuilt packages target macOS Apple Silicon; Node.js 22+.
Jev Tools & CLIs#community#catalog-import#logicrw
A tool-permissions layer for the Vercel AI SDK backed by Jev through the Vercel AI Gateway: a pre-flight approval gate that decides auto-approve, ask-human or block, plus tool-list pruning that drops irrelevant definitions to save context tokens.
Jev Integrations & Adapters#community#catalog-import#logicrw
5GitHub stars
Typed semantic decisions for TypeScript: ask Zod 4 or native question batches about your data and get validated answers through async/await or Web Streams, with confidence gates, retries, replay and observability. Jev runs via TypeSafe AI or Vercel evaluation.
Jev Repos & SDKs#community#catalog-import#logicrw
TypeSafe's Jev plays the real Steam game Vampire Survivors - it picks the character, stage, every level-up and the walking direction four times a second, with a live decision dashboard. A BepInEx plugin and Python brain; native Linux only.
Jev Demos & Experiments#community#catalog-import#logicrw
5GitHub stars
A Rust CLI that searches code by meaning with Jev: describe a concept in plain English and get relevant files, line ranges, confidence scores and source snippets, with tunable file and match thresholds plus retry handling.
Jev Tools & CLIs#community#catalog-import#logicrw
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
A Pi extension that checks proposed code edits against your repository's Markdown rules with TypeSafe Jev and returns the exact instruction text and source line range for each violation. Informative mode reports; enforcement mode blocks reviewed code.
Jev Integrations & Adapters#community#catalog-import#logicrw
5GitHub stars
A portable Agent Skill that teaches coding agents - Claude Code, OpenAI Codex, Cursor and other compatible hosts - to use Jev as a bounded judgment layer, plus an optional MCP bridge and workflows for code, browser research, Blender and Unreal.
Jev Agents & MCP#community#catalog-import#logicrw
5GitHub stars
Python with a smart if: .jev files add the ~ question operator and jev/case blocks that Jev answers with a number or a label, never text. Files are rewritten to plain Python at import time; every ~ is one paid TypeSafe API call.
Jev Repos & SDKs#community#catalog-import#logicrw
4GitHub stars
A local-first classifier for Feishu and WeCom work messages: Jev judges whether each message matters to you and the app sorts them into urgent, to-do, worth reading and skip, building a cross-group to-do list. The demo runs without a key.
Jev Tools & CLIs#community#catalog-import#logicrw
4GitHub stars
Open-source tool from AlphaTales that sits between Codex and large command outputs: it chunks logs and search results, uses Jev to rank the relevant chunks when a Jev API key is configured, and stores the full output locally for retrieval by artifact ID.
Jev Integrations & Adapters#community#catalog-import#logicrw
Benchmark harness comparing Jev, Jeff, Mizan and Laya on 480 authored general Persian questions, 560 literary questions and a 24-excerpt classical poetry pilot, with raw responses saved and answers scored locally without a runtime model judge.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
4GitHub stars
A demo that walks a real Pokémon FireRed ROM: the code reads the overworld out of RAM, works out every reachable destination, and Jev picks where to go — and how to fight wild encounters — through typed decisions, not screenshots.
Jev Demos & Experiments#community#catalog-import#logicrw
4GitHub stars
Five self-contained Jev demos for data and analytics engineers: a LinkedIn cringe meter, semantic SQL in DuckDB, a SQL VISUALIZE intent, and dbt semantic tests locally and on Databricks, each labelled live or simulated.
Jev Demos & Experiments#community#catalog-import#logicrw
4GitHub stars
Local tool-routing classifier for coding agents: a gateway and MCP tool that ask Jev which tool to call next, keep your agent's own model and login, and log every decision so you can start by observing.
Jev Integrations & Adapters#community#catalog-import#logicrw
4GitHub stars
Text generation with a model that never generates text: jev-gpt asks Jev one typed question per choice — word type, WordNet category, a group of about 200 words split by embeddings, then the word — about 400 calls and 2 cents per prompt.
Jev Demos & Experiments#community#catalog-import#logicrw
Live demo of Jev playing Flappy Bird: about twenty times a second the game asks one question, flap or wait, and applies Jev's choice exactly as returned — no thresholds, no backup rules, no retries.
Jev Demos & Experiments#community#catalog-import#logicrw
4GitHub stars
Browser QA where Playwright drives and films, and Jev judges: natural-language assertions, self-healing locators and goal-driven click loops, with a JSON-flow CLI for agents, a local dashboard and an agent skill.
Jev Tools & CLIs#community#catalog-import#logicrw
4GitHub stars
Verdict-based context compaction for DeepSeek Harness: instead of a lossy summary, jev-latest scores every tool call and result — kept verbatim, truncated to 300 characters or dropped — and falls back to compaction-basic on any failure.
Jev Integrations & Adapters#community#catalog-import#logicrw
4GitHub stars
OpenCode V2 plugin monorepo by Ope Oginni, released as independent npm packages: oc-auto-perms brings intent-aware permissions powered by Jev, alongside WIP plugins for iMessage notifications and TUI Invaders.
Jev Integrations & Adapters#community#catalog-import#logicrw
4GitHub stars
Framework-independent participation gate for AI agents in group chats: before an untagged answer, typed Jev decisions check for an unanswered request, concrete value, redundancy and intrusion, then admit or skip the draft.
Jev Integrations & Adapters#community#catalog-import#logicrw
4GitHub stars
Toolkit, knowledge base and local dashboard for building with Jev via OpenRouter Alpha Decisions or the TypeSafe Direct API: a zero-dependency SQLite request log, a localhost REST server and Python CLI demos.
Jev Tools & CLIs#community#catalog-import#logicrw
4GitHub stars
Chrome extension that badges X and LinkedIn posts READ / MAYBE / SKIP as they scroll into view, judged by Jev against an interest profile you write in plain English — no keyword lists, no cloud account.
Jev Tools & CLIs#community#catalog-import#logicrw
Rust workbench (Ratatui TUI and CLI) for cancer-of-unknown-primary research: it imports molecular, expression and clinical evidence, asks Jev for an origin distribution over 22 classes, then checks, gates, charts and exports the answer locally.
Jev Tools & CLIs#community#catalog-import#logicrw
4GitHub stars
A weekend experiment in text-to-SQL where the model never writes SQL: Jev fills typed slots — intent, table, state, county, number — each with a calibrated confidence, and Python code assembles the answers into a parameterized SELECT.
Jev Repos & SDKs#community#catalog-import#logicrw
4GitHub stars
Turkish-language natural-language search over an outerwear catalog: Jev reads each request in one call and scores candidate matches, while code handles price and size regex, filtering, ranking and the results UI — with a side panel showing what Jev decided.
Jev Demos & Experiments#community#catalog-import#logicrw
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
An auto-clipper that turns long videos into short standalone clips: code enumerates every plausible cut point, Jev judges the clip each candidate edge would make, and you get ranked mp4s for Shorts, Reels and TikTok.
Jev Tools & CLIs#community#catalog-import#logicrw
A Codex plugin that prepares traceable context handoffs: Jev answers one narrow classification question per old, verified read-only tool pair, and code validates the answers, preserves protected content and builds a JSON or Markdown packet.
Jev Agents & MCP#community#catalog-import#logicrw
8GitHub stars
An Android automation agent that decides from the accessibility tree instead of screenshots: one TypeSafe Jev request per step picks the operation and target, ADB executes, and an optional vision fallback takes over when the fast path gets stuck.
Jev Tools & CLIs#community#catalog-import#logicrw
A Windows fork of the jev-chat WeChat assistant that fixes DPI-unaware screen capture on scaled displays and adds an optional key-free local laya judge — with the author's own measurements showing that local engine is not yet usable for Chinese chat.
Jev Tools & CLIs#community#catalog-import#logicrw
5GitHub stars
A source-visible Android vision control prototype where a vision agent reads screenshots, a text-only supervisor plans, and TypeSafe JEV chooses among candidate actions; an ADB executor runs them under a local web console.
Jev Tools & CLIs#community#catalog-import#logicrw
3GitHub stars
An MCP server that gives coding agents only the JS/TS code a task needs: the TypeScript compiler follows calls, types, callers and tests, Jev judges relevance, and results come back within a token budget.
Jev Agents & MCP#community#catalog-import#logicrw
3GitHub stars
Offline Jev token counting and request accounting for Node.js and Next.js: an MIT TypeScript port of jevtok that matches the reconstructed encoder for jev-1.13-20260917 and ships its vocabulary inside the package — no keys, network calls or dependencies.
Jev Repos & SDKs#community#catalog-import#logicrw
3GitHub stars
A safety gate for AI coding agents that checks every shell command, file write, and file read before it runs and returns ALLOW, ASK, or DENY: most calls are decided locally in under a millisecond, while ambiguous or destructive ones go to TypeSafe's System One model.
Jev Tools & CLIs#community#catalog-import#logicrw
3GitHub stars
A dependency-free MCP server that exposes TypeSafe's Jev to Claude Code, Codex, Cursor, Hermes, and other agents through the ask_jev and list_jev_models tools, so your code gets typed decisions with probabilities instead of prose to parse.
Jev Agents & MCP#community#catalog-import#logicrw
A research pipeline by CompleteTech LLC AI Research that downloads a slice of NYC 311 reports, scores complaint descriptions with Jev, and renders severity, safety-concern, and ambiguity signals as interactive maps and print-ready PNGs on a 500-meter grid.
Jev Demos & Experiments#community#catalog-import#logicrw
3GitHub stars
Two opt-in Hermes Agent plugins that add TypeSafe Jev decision layers: a pre-tool gate for terminal, write_file, and patch calls, and a skill router that names the one skill worth loading before the model call. Stdlib only and fail-open.
Jev Integrations & Adapters#community#catalog-import#logicrw
3GitHub stars
A local stock decision service that sends market data, indicators, fundamentals, and news collected by AIStock to Jev cloud or a local model and returns a structured Buy, Sell, or Hold signal with probabilities, data-quality notes, and a stored evidence record.
Jev Tools & CLIs#community#catalog-import#logicrw
An early-alpha integration that lets TypeSafe Jev choose from concrete browser actions while a host - the Codex sidebar or Browser Use's Python engine - handles generation, recovery, and final verification, without patching the installed Browser Use package.
Jev Integrations & Adapters#community#catalog-import#logicrw
A macOS wrapper for Codex that has Jev pick the model and reasoning effort for the first task in a thread, pins that route so later turns reuse their model cache, and offers a menu bar app for routing preferences and quota-aware selection.
Jev Tools & CLIs#community#catalog-import#logicrw
3GitHub stars
A music pattern ripper: it tokenizes a MIDI file into an interval string, mines repeating units in code, and has Jev grade each candidate's musical significance in one batched call, then draws and plays the results in a web UI with WAV and JSON export.
Jev Tools & CLIs#community#catalog-import#logicrw
3GitHub stars
A Python and JavaScript package that loads any Hugging Face dataset, auto-adapts evaluation rubrics to the domain, and classifies every row through a single parallel Jev call with calibrated probabilities, plus a CLI and an interactive studio for uploads and export.
Jev Repos & SDKs#community#catalog-import#logicrw
3GitHub stars
A local Python service that keeps your skill catalog out of the main model's context: it reads your SKILL.md library, asks Jev which skills fit, and returns only the selected instructions through a single read-only MCP tool, with Claude Code, Codex, and Cursor adapters.
Jev Agents & MCP#community#catalog-import#logicrw
3GitHub stars
Typed onchain verdicts for EVM tokens: paste a contract address and get ape, watch or avoid with calibrated probabilities plus rug_risk, momentum, liquidity_health and fdv_stress scores. Ships as a library, a pipeline-friendly CLI and an MCP server.
Jev Tools & CLIs#community#catalog-import#logicrw
3GitHub stars
Plain-English end-to-end tests for Android and iOS apps, driven by Jev: write what a user does and what they should see, and Jev works out the taps. Every decision is recorded in a lockfile so CI replays runs exactly with --lock frozen.
Jev Tools & CLIs#community#catalog-import#logicrw
3GitHub stars
Content analytics and LLM-as-a-judge harness that rates published posts against pre-registered rubrics using Jev's calibrated probabilities, then tests those ratings against real engagement numbers under power gates and false-discovery corrections.
Jev Tools & CLIs#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 3724 entries from 292 source sites, last updated Oct 24, 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. 3724 of the 3724 entries carry one today.

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