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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

Updated

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 145–192 of 322 resources

3GitHub stars
One skill and one MCP server for Claude Code, Codex and Hermes: Jev gates large-model turns with gate_triage, gate_verdict, gate_decide and gate_pick, runs build-and-repair loops with independent review, routes model tiers and skills, and guards Git steps.
Jev Agents & MCP#community#catalog-import#logicrw
3GitHub stars
A curated collection of agent skills, repositories and examples for building with Jev: jev-builder, jev-evidence-eval and jev-curator skills, plus routing, rerank, risk, evidence and tool-selection examples and a map of official and community skill collections.
Jev Agents & MCP#community#catalog-import#logicrw
3GitHub stars
A Home Assistant custom conversation agent: Jev classifies an utterance in one system_one call, then either calls a light, climate or cover service on the fast path or hands the conversation to the SpaceXAI Grok agent.
Jev Integrations & Adapters#community#catalog-import#logicrw
3GitHub stars
A router that runs today on Jev's calibrated cloud decisions and turns your traffic into your own local routing model: every decision is logged with its full probability distribution, so the log is a labelled dataset you distill toward an air-gapped router.
Jev Tools & CLIs#community#catalog-import#logicrw
A local stdio MCP server that adds a jev_decide tool to OpenCode agents, supporting noul, choice and score questions so an agent can route or gate work on structured answers and probabilities instead of prose.
Jev Agents & MCP#community#catalog-import#logicrw
3GitHub stars
A Claude Code plugin that baselines your working state at turn start, then sends a selected, redacted turn diff at Stop to Jev, which evaluates eight risk axes in one request; in assist mode high risk earns at most one more investigation.
Jev Agents & MCP#community#catalog-import#logicrw
3GitHub stars
A Rust project described as a high-frequency trader that uses Jev as its decision maker. The repository has no README, license or usage documentation, so the entry is grounded on the GitHub description and list metadata alone.
Jev Repos & SDKs#community#catalog-import#logicrw
3GitHub stars
Agent Skills for Codex Desktop and Claude Code plus a Codex CLI harness: the harness narrows large repositories locally, Jev judges the bounded candidate files, and the coding model implements and tests the change. A Go architecture arrived in v0.7.0, current at v0.7.2.
Jev Agents & MCP#community#catalog-import#logicrw
2GitHub stars
A native Hermes Agent tool plugin - not a chat-model provider - where Jev supplies bounded semantic judgments and an explicit model recommendation while the main agent keeps planning, generation, execution and approvals. Backends: TypeSafe, Cloudflare and OpenRouter.
Jev Agents & MCP#community#catalog-import#logicrw
3GitHub stars
A fork and bridge that runs jkudish/jev-browser fully locally: a local Jev-style engine built on parallel-decisions replaces the hosted API, with Qwen2.5-1.5B-Instruct picking each browser step and a 0.5B model typing search queries, measured on an RTX 2060 SUPER.
Jev Repos & SDKs#community#catalog-import#logicrw
3GitHub stars
A TypeScript decision engine and visual studio that wraps TypeSafe Jev: developer-authored loss matrices price mistakes, exact Total Variation distance stress-tests probabilities, and clarifying questions are ranked by Value of Information minus interruption cost.
Jev Tools & CLIs#community#catalog-import#logicrw
An independent test of viral claims that Jev is an HFT trading model: 298,549 intraday trades came out at a 48.4% hit rate before fees, latency measured 294 ms median, and all 35,685 model responses ship in a SQLite cache so anyone can verify without an API key.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
3GitHub stars
A dbt package that evaluates SQL values with Jev through TypeSafe's hosted API or OpenRouter: macros expose Choice as a nullable label, Noul as a match probability and Score as a numeric rating, on DuckDB and ClickHouse.
Jev Integrations & Adapters#community#catalog-import#logicrw
3GitHub stars
An anti-slop Agent Skill for Claude Code, Codex and any agent that reads SKILL.md: Jev checks every paragraph against 35 semantic patterns, a local linter adds mechanical tells like dashes, and the model edits only what was flagged.
Jev Agents & MCP#community#catalog-import#logicrw
3GitHub stars
A measured audit of 300 public pages for AI citability using nine Jev decisions per page, checked against an LLM judge: Jev agreed on 85.8% of 900 decisions and cost 158 times less per page, with latency measured for both.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
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
3GitHub stars
Code Mode for MCP where the sub-model is a calibrated decision model instead of an LLM: agents get search(query) and execute(code), and Jev makes per-item choices in about 100 ms, benchmarked on MCPToolBench++, LiveMCPBench and When2Call.
Jev Agents & MCP#community#catalog-import#logicrw
3GitHub stars
An open-source toolkit that reduces large MCP responses in Claude Code through a PostToolUse hook and maps Codex session requests to reviewed operations: Jev ranks what stays verbatim, and without an API key results pass through unchanged.
Jev Agents & MCP#community#catalog-import#logicrw
2GitHub stars
An npm CLI that scans TypeScript, JavaScript and Python codebases for LLM calls that are really decisions, converts them into Jev modules with confidence-gated fallbacks, and shadow-tests them on recorded traffic before you swap.
Jev Tools & CLIs#community#catalog-import#logicrw
2GitHub stars
A governed execution layer and drop-in proxy between typed-decision models like Jev and callers such as Claude Code, Cursor/MCP and SDKs: raw probabilities become deterministic policy actions from ALLOW to DENY with a DuckDB audit trail.
Jev Integrations & Adapters#community#catalog-import#logicrw
2GitHub stars
A typed preflight and approval layer for Grok Bot: local code owns hard boundaries like secrets, deletions and payments before the Jev SDK is imported, Jev judges ambiguity, and the guard returns one action such as proceed, ask_human or block.
Jev Agents & MCP#community#catalog-import#logicrw
2GitHub stars
A Go client for the TypeSafe System One API with zero dependencies outside the standard library: typed Noul, Choice and Score questions whose answers are read back through the handles that asked them.
Jev Repos & SDKs#community#catalog-import#logicrw
2GitHub stars
A public operator lab for TypeSafe Jev: a chess match as the flagship page, a row of smaller judgment booths, and one shared client that keeps the API key out of the browser via a local Python server or a Cloudflare Worker.
Jev Demos & Experiments#community#catalog-import#logicrw
2GitHub stars
An experiment in two parts, done in one day: SATB part-writing exercises given to Jev with no musical hints and graded by rules, compared with Claude models on accuracy and cost, plus a piano mode where Jev picks chords forever.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
A macOS menu-bar app that decomposes copied text — agendas, itineraries, bug reports, contact info — into semantic fields and offers an inline Tab hint when you focus a matching input, leaving native paste untouched. Powered by TypeSafe JEF.
Jev Tools & CLIs#community#catalog-import#logicrw
A Java/Spring Boot MCP server that exposes Jev as typed-judgment tools — jev_classify, jev_score, jev_check, jev_gate and jev_health — over HTTP (Streamable/SSE), for MCP clients that reach a running service instead of spawning a stdio subprocess.
Jev Agents & MCP#community#catalog-import#logicrw
2GitHub stars
A Rust CLI that reviews Git diffs and source scans as fast, staged judgments with concrete evidence, severity and owner routing, powered by TypeSafe Jev through a thin HTTP client speaking the system_one wire format.
Jev Tools & CLIs#community#catalog-import#logicrw
2GitHub stars
A coding agent for your terminal: you chat, and when you ask for a change it reads, edits and runs your code itself. Jev helps on the side with a few quick calls that spot a simple question so replies come back faster, and its key is optional.
Jev Agents & MCP#community#catalog-import#logicrw
An OpenCode 2 plugin that sends every shell command — local or over FarHand's remote shell — to Jev first: six typed questions about global installs, host litter, harmful actions and privacy, and a permission prompt whenever something looks risky.
Jev Integrations & Adapters#community#catalog-import#logicrw
A Claude Code plugin that adds five Jev tools — jev_choice, jev_noul, jev_score, jev_ask and jev_doctor — so small decisions like safety checks, tool choices and review verdicts come back as typed answers with calibrated confidence, labelled auto or escalate.
Jev Integrations & Adapters#community#catalog-import#logicrw
2GitHub stars
Use Jev from Claude Code, Codex CLI, Claude Desktop or any MCP client, paid for by free Netlify credits and locked with a key only you have: a key-locked proxy forwards through Netlify AI Gateway and an MCP server exposes jev_evaluate and jev_models.
Jev Agents & MCP#community#catalog-import#logicrw
A Node CLI for goal-driven web E2E testing: Jev picks the next step from a bounded, code-generated action space, playwright-cli executes it in a real browser, and your test code owns the deterministic assertions, thresholds and final verdict.
Jev Tools & CLIs#community#catalog-import#logicrw
A small Python support-ticket triage pipeline: Jev judges every incoming ticket in one typed call, plain if statements decide whether it is worth a second pass, and an LLM writes a reply only when Jev's scores cross a threshold.
Jev Cookbooks#community#catalog-import#logicrw
2GitHub stars
A Claude Code plugin that picks the model tier and thinking effort for every turn with Jev and weighs each switch against what it costs, since moving a long conversation to another model rewrites its prompt cache and can cost more than it saves.
Jev Integrations & Adapters#community#catalog-import#logicrw
A fork of codex-with-chatgpt that adds TypeSafe Jev plus deterministic rules to decide when Codex hands planning, debugging or review to web ChatGPT and when it switches back. Smart switching is off by default, and with it off the tool behaves exactly like the original.
Jev Integrations & Adapters#community#catalog-import#logicrw
A linter for Jev queries that takes the request you would send to System One — a state and the questions asked about it — and reports where the query is written in a way the model is documented to handle badly. Static checks run free without a key; the rest ask Jev.
Jev Tools & CLIs#community#catalog-import#logicrw
An evidence-first black-box reverse-engineering archive for the Jev decision model: controlled experiments, a 720-call cluster study, calibration and latency analyses, and an evidence matrix that marks every claim observed, inferred or speculative.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
2GitHub stars
Routes each prompt to a model tier with one Jev call: a Choice question classifies difficulty (simple, moderate, complex, frontier) and a Score rates stakes. Confidence-gated rules then fall back or escalate, and your application still makes the downstream request.
Jev Tools & CLIs#community#catalog-import#logicrw
A Next.js and MUI showcase of Jev classifying Enron-Spam emails: one call asks a Noul spam question, a Choice category question and a Score urgency question at once. Includes a dataset view, a no-key example tab and a stand-alone Python script.
Jev Demos & Experiments#community#catalog-import#logicrw
2GitHub stars
An OpenClaw plugin that asks Jev two questions before the language model runs: whether a group message deserves a reply, and which of three configured model tiers should answer it. The reply gate is on by default; the model router is off.
Jev Integrations & Adapters#community#catalog-import#logicrw
An interactive experiment for model routing: build a pool of OpenRouter models, hand Jev a task, and watch it pick a model with a full probability distribution — then compare that pick with the answer you judge best and export the record as JSON.
Jev Demos & ExperimentsPlayground#community#catalog-import#logicrw
2GitHub stars
Effortlane is a local router for Codex on macOS that picks model and reasoning effort with Jev before each user turn, keeps native ChatGPT authentication, and records routing evidence locally. Shadow mode logs recommendations without changing execution.
Jev Integrations & Adapters#community#catalog-import#logicrw
2GitHub stars
Jev and GPT-6 Luna race through the same Flappy Bird course, with every flap a live model decision. Both birds request flap or wait every 50 ms, and the browser shows each answer applied, superseded or skipped.
Jev Demos & Experiments#community#catalog-import#logicrw
2GitHub stars
A benchmark comparing BM25, embeddings, rerankers and Jev for tool search over 525 real MCP tools and 94 annotated tasks, plus an experimental Jev search engine. Jev's two-stage search found the right tool first 56% of the time.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
2GitHub stars
Decision-first CSV cleaning: local code builds bounded repair candidates, Jev returns action, applicability and semantic-risk distributions, and a fixed policy decides what may be applied — or abstains. The model never writes repairs or mutates the source CSV.
Jev Tools & CLIs#community#catalog-import#logicrw
2GitHub stars
A 12,000-neuron fly-brain subgraph of the maleCNS connectome fights Jev in mk.js: the fly simulates spikes in the browser at 10 decisions per second while Jev reads the fight as JSON and answers one typed choice among seven moves.
Jev Demos & Experiments#community#catalog-import#logicrw
2GitHub stars
An MCP server that gives Codex, Claude and other clients two tools for typed decisions: jev_evaluate mixes noul, choice and score questions in one call, and jev_classify batches up to 100 items against defined classes with review thresholds.
Jev Agents & MCP#community#catalog-import#logicrw
2GitHub stars
Two TypeSafe System One game loops in one Python repo: Dino-Jev drives Chrome's chrome://dino/ dinosaur and Krunker-Jev runs a local Krunker-style arena, both feeding structured state to Jev and logging decisions.
Jev Demos & Experiments#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.