Jevsome Projects

September 18, 2026 · View on GitHub

Open-source projects that provably call Jev, TypeSafe AI's System One model. Every entry links to the line of code that proves it. Browse: jevsome.ozersubasi.com

58 verified projects · 702 more in the JSON · 1,512 search hits examined · refreshed 2026-09-18

Deliberately short. Jev is days old and the ecosystem is mostly two-day-old experiments; this list starts with what can be shown to be real and grows from there. The bar is the same for every entry, and it is written down.

How an entry gets here

  1. Discovery. GitHub code and repository search, run against the API surface itself. Nothing is copied from another list.
  2. Proof. The matching file is downloaded and the matching line is located and read. A call to /v1/systemone, an SDK import, a pinned jev-latest route or a declared dependency counts. A README sentence, a comment, a changelog entry, or a package.json whose own name happens to contain "jev" does not.
  3. Classification. Keyword rules against the section definitions below. The Jev path is wired up and takes over once a TYPESAFE_API_KEY is configured.
  4. Subject, not support. The repository exists because of Jev: created after the model went public, or naming Jev or TypeSafe in its title, description or topics. Frameworks that predate Jev and added it as one provider among many are kept in the JSON as candidates, not listed here.
  5. Real code. The proof line is source, not a mock, a recorded cassette or a data file.
  6. Five stars. Someone besides the author cared. A presentation floor, not a correctness one; it is one number in pipeline/lib/quality.mjs and will come down as the list matures.
  7. Health. Stars, licence, last commit and demo links are re-checked daily.

Search casts a wide net — "typesafe" matches a lot of repositories that have nothing to do with Jev. Every hit that is not on the list is recorded in data/not-listed.json: 732 where no line of code calling Jev was found, 20 where it was found but the repository is not a project built on Jev. Argue with any of it.

Generated from data/index.json; do not edit by hand. See CONTRIBUTING.md.

🟢 pushed in 30 days · 🟡 90 days · ⚪ older · 📦 archived · 🔗 no repository

Contents

SDKs & clients

In this section: A library whose whole purpose is talking to the System One API from one language or runtime: request signing, typed Choice/Score/Noul answers, retries.

Not here: Applications that happen to ship a thin wrapper, and provider adapters that live inside a larger framework (those are integrations).

ProjectWhat it doesLanguageLicenseStarsProofStatus
typesafe-sdk-jsThe official TypeScript/JavaScript library for the TypeSafe APITypeScriptMIT101src/client.ts:41🟢
system-one-adapter-pythonDrop-in TypeSafeClient replacement backed by LLM APIsPythonMIT98tests/cassettes/test_client_with_live_apis/test_live_typesafe_response_matches_reference_shape.json:7🟢
typesafe-sdk-pythonThe official Python library for the TypeSafe APIPythonMIT70tests/test_retry.py:14🟢
advocaatA small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev.TypeScriptMIT61src/api.ts:219🟢
typesafe-aiTyped TypeSafe AI clients for Rust, with async and blocking backends and observable retries.RustApache-2.07src/config.rs:38🟢
typesafeai-dotnet-sdkCommunity .NET SDK for the TypeSafe AI System One API — typed noul, choice, and score questions with structured, confidence-scored answers. Not affiliated with TypeSafe AI.C#MIT5tests/TypeSafe.Sdk.Tests/ClientBehaviorTests.cs:28🟢

24 more in this section passed the proof check but not the rest of the bar — in data/index.json as candidates.

Integrations

In this section: An existing framework, platform or product that gained Jev support: a provider, adapter or plugin inside a codebase that is not about Jev.

Not here: Standalone tools built around Jev from the start.

ProjectWhat it doesLanguageLicenseStarsProofStatus
dspy-typesafeifyAdd a decorator for dspy Signatures that automatically uses TypeSafe where relevantPythonMIT58pyproject.toml:49🟢

11 more in this section passed the proof check but not the rest of the bar — in data/index.json as candidates.

Agent tooling

In this section: Tools that sit in an AI agent or developer workflow and use typed decisions to act: tool-call gates, routers, guardrails, MCP servers, code review, CLIs.

Not here: General applications that merely call a model, and browser automation (its own section).

ProjectWhat it doesLanguageLicenseStarsProofStatus
fast-jev-compactionClaude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim.TypeScriptMIT2,191src/request.ts:3🟢
foremanSoftware Factory Foreman based on TypeSafe Jev modelPythonMIT254src/foreman/foreman/jev.py:91🟢
jev-reviewA staged code-review workflow and local dashboard built with TypeSafe Jev.TypeScriptMIT217src/review/judgments.ts:2🟢
skillboxSelf-hosted, versioned skills library for AI agents. MCP, scoped clients, and optional Jev recommendations.TypeScriptMIT135src/server/recommendations.ts:129🟢
jev-routerRoute to the cheapest model in claude code for your task using jev-routerJavaScriptMIT109src/router.mjs:1🟢
jev-reviewLocal-first MCP plugin for continuous software-quality review by AI coding agents, powered by Jev.TypeScriptMIT98src/jev/client.ts:4🟢
jev-mcpProof of concept MCP for Typesafe's new Jev AI modelTypeScriptMIT59src/provider.ts:7🟢
pi-wardenGuardrails for Pi built on pi-typesafe that steer the agent instead of interrupting you: Jev judges irreversible and off-task tool calls, detects stuck loops, checks unverified done claims, flags slopTypeScriptMIT56tests/extension.test.ts:113🟢
typesafe-mcpmcp connector to give your AI agent direct access to typesafe ai's jev modelGoMIT51cmd/evaluate/main.go:107🟢
pi-jevTypeSafe Jev as a decision layer for the Pi coding agent: a measured tool-call gate plus jev_ask for typed, calibrated answersTypeScriptMIT37src/client.ts:13🟢
ask-jev-skillSkill for Hermes, and other agents, to ask typesafe's jevPythonMIT24scripts/askjev.py:15🟢
supercovCode quality and coverage for coding agentsRustMIT21crates/supercov-cli/src/quality.rs:29🟢
save-token-jev-cleanPortable, Jev-guided context compaction for coding agents.TypeScriptMIT20src/client.ts:5🟢
agent-routerCLI that picks Cursor, Claude Code, Codex, or OpenCode + model/effort for a task, then launches it. Powered by Jev and HerdrTypeScriptMIT17packages/router/src/semantic/task-classifier.ts:1🟢
hono-jev-routerRoute HTTP requests by meaning. A semantic router for Hono powered by Jev.TypeScriptMIT13src/index.ts:77🟢
JevbridgeACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and typed decisions alongside Codex, Claude, Grok, and OpenCode.TypeScriptMIT11src/types.ts:111🟢
pi-typesafeTypeSafe decisions for Pi: batched evaluation tool, terminal playground, and typed API for extension authorsTypeScriptMIT11src/errors.ts:1🟢
jev-axiAgent-ergonomic CLI for TypeSafe's Jev: fast calibrated judgments (pick, rate, check, rank, triage, guard) from the shellTypeScriptMIT8src/state.ts:2🟢
pi-jev-auto-modeJev (TypeSafe System One) backed auto mode for the Pi coding agent: semantically auto-approves bash, write, and edit tool calls and fails closed when a decision cannot be made.TypeScriptMIT8src/jev/transport.ts:100🟢
jev-browserBrowser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.JavaScriptMIT7src/jev.mjs:8🟢
jev-mcpMCP server for TypeSafe Jev: typed classify, score, check, match and screen for any agent, with confidence on every answerPythonMIT7tests/test_client.py:7🟢
JevLintConfigurable semantic linting powered by Jev, with file-level NOUL judgments and a magic-strings plugin.TypeScriptMIT5src/jev-client.ts:52🟢
perchAST powered semantic code linting with JevJavaScriptMIT5test/systemone.test.js:10🟢

164 more in this section passed the proof check but not the rest of the bar — in data/index.json as candidates.

Browser & computer use

In this section: Drives a browser, desktop or operating system, deciding what to click, type or do next from page or screen state.

Not here: Scrapers and extensions that never decide an action.

ProjectWhat it doesLanguageLicenseStarsProofStatus
jev-ultrafastA browser agent with a dynamic, indexed action space.PythonMIT3,969jev_ultrafast/model.py:108🟢
typesafe-computer-useComputer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.PythonMIT184pyproject.toml:26🟢
mobile-jev▶ Watch the demo — Jev opens Uber, enters a route from San Francisco Airport to the Golden Gate Bridge, and reaches payment selection. The recorded task timer shows about 21 seconds for 9 actions. A completed booking is not demonstrated.JavaScriptMIT71scripts/mobile-agent/policy.mjs:157🟢
jev-browserBrowser use using Typesafe's Jev modelTypeScriptMIT45src/questions.ts:4🟢
jev-browser-use5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.JavaScriptMIT17skills/jev-browser-use/bridge.mjs:11🟢
jev-voice-browserControl a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.JavaScriptMIT7src/jev.js:7🟢

27 more in this section passed the proof check but not the rest of the bar — in data/index.json as candidates.

Applications

In this section: A product or hosted service someone uses, where a Jev decision is part of what it does: moderation, triage, matching, scoring, pricing.

Not here: Examples and experiments with no users (those are demos), and internal libraries.

ProjectWhat it doesLanguageLicenseStarsProofStatus
jev-traderOne AI trade decision every Monad block. Jev on Kuru MON-USDC.TypeScriptMIT707src/config.ts:32🟢
unclutterWXT browser extension: Jev-powered page clutter removal with reusable template rules.TypeScriptMIT62lib/jev.ts:6🟢
typesafe-adblock🧹 Fun project: a Chrome extension that asks a tiny AI decision model (TypeSafe Jev) "is this DOM element an ad?" and pops it off the page. BYOK, no backend, not a real ad blocker.JavaScriptMIT40src/typesafe.js:5🟢
youtube-sponsor-detectionDetect youtube sponsor segment with live audio and transcript powered by JevJavaScript28test/extension-background.test.js:32🟢
Jev-Moderation-BotA Discord moderation bot built with Python and TypeSafe AI (Jev System One). It filters spam and scam links in real time, escalates offenses automatically, and lets moderators profile members based on their message history.Python21profiler.py:16🟢
commit-minerClassify Git commit diffs and messages with Jev. Bug fixes, security fixes/CWEs, and change types.Rust20src/cost.rs:17🟢
jev-shell-historyFish-style zsh history autosuggestions ranked by Jev (TypeSafe)TypeScript15src/suggest.ts:1🟢
blinkCodebase search powered by Jev from @typesafe-aiTypeScript14src/search.ts:3🟢
killmyideaDescribe your startup idea. Jev decides: kill it, fix it or ship it.TypeScript12src/lib/typesafe.ts:3🟢
Jev-TradesTrading bot with the all new TypeSafe AI's first system one model named as JevPythonApache-2.07pipeline/paper_trader.py:30🟢

132 more in this section passed the proof check but not the rest of the bar — in data/index.json as candidates.

Games & simulation

In this section: A game, robot controller or physics simulation where Jev reacts to game or sensor state, usually in a loop.

Not here: Game-themed demos with no running loop.

ProjectWhat it doesLanguageLicenseStarsProofStatus
typesafe-marioA TypeSafe/Jev agent that plays Super Mario Bros. from structured emulator state.Python252src/typesafe_mario/policy.py:29🟢
jev-droneCamera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5HzPythonMIT56tactics.py:12🟢
jevpilotA playable Three.js driving simulator with Jev-powered autopilotJavaScript47server/jev.js:78🟢
typesafe-snakeSnake auto-played by TypeSafe's Jev model: one System One choice per tick, legal moves and facts generated in codeTypeScript17server/index.ts:2🟢
tsai-scTypeSafe Jev controls original StarCraft shareware through keyboard and mouse with recorded action probabilities.PythonMIT11tsai_sc/typesafe.py:24🟢
mario-jevA uv-managed Python prototype that plays NES Super Mario Bros. (level 1-1 by default). Jev receives structured RAM observations and answers focused questions about movement, starting a jump, and sustaining a jump, plus timing hops under lowPython10tests/test_policy.py:5🟢
OneVOneJev1v1 Jev quickscope arena — Three.js + TypeSafe System OneTypeScript5server/src/jev.ts:7🟢

20 more in this section passed the proof check but not the rest of the bar — in data/index.json as candidates.

Demos & playgrounds

In this section: Built to show or learn one thing: examples, playgrounds, starters, tutorials, weekend experiments.

Not here: Anything with real users or a published package.

ProjectWhat it doesLanguageLicenseStarsProofStatus
jev-experimentsTypeSafe / Jev latency-focused demos built by Devin. Each app lives in its own top-level directory with its own README, TESTING.md and screenshots.TypeScript99jev-lint/proxy.mjs:4🟢
neo4jevTypesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationshipsJupyter NotebookMIT12pyproject.toml:12🟢
typesafe-ai-playgroundCommunity TypeSafe AI playground: 110 use cases, games, dilemmas and model challenges, with editable prompts, A/B comparisons and a mobile-friendly UI.TypeScriptMIT6lib/serverJev.ts:35🟢

34 more in this section passed the proof check but not the rest of the bar — in data/index.json as candidates.

Benchmarks & research

In this section: Measures Jev: benchmarks, calibration studies, accuracy or latency comparisons, reproductions, datasets.

Not here: Projects that merely report a benchmark number in their README.

ProjectWhat it doesLanguageLicenseStarsProofStatus
jev-eval-agentA personal-assistant agent built with eve (Vercel), with 100 mocked tools, served through OpenRouter. The repository exists to answer one question: how many steps does the agent need to finish the same task when the LLM picks the tool itselHTML76agent/lib/jev-router.ts:1🟢
jev-benchmarksProbability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.PythonApache-2.06tests/test_adapters.py:47🟢

39 more in this section passed the proof check but not the rest of the bar — in data/index.json as candidates.

License

MIT — the pipeline, the site and the data. Linked projects keep their own licences.

Not affiliated with TypeSafe AI.