Native MLX runtime for Laya typed decision models โ 7โ14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
Intent compiler for AI agents โ converges vague requests into typed IntentSpec contracts (probe, ask, or halt before routing), the input layer for routers and typed-decision models like Jev & Laya
Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync
A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.
A curated list of decision models (System One / typed decision models): hosted APIs, open-weight models, runtimes, SDKs, applications, benchmarks, and papers.
Awesome Jev: a source-backed field guide to TypeSafe's System One model, with SDKs, live demos, agent tools, and independent evaluations.
1207 public resources for Jev, TypeSafe AI's System One decision model, indexed by decision pattern. Source citations, dated link checks and scheduled call-site text checks; runtime and performance are not independently tested here. EN/ไธญๆ, JSON schema and platform compatibility.
A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for typed decisions.
๐ฅ๐ฅ Awesome Jev: open-source models, projects, benchmarks, and independent evaluations for Jev and System One models.
Awesome list of TypeSafe AI Jev use cases: 74 demos ranked by likes, 150+ GitHub repos, limits, cost and API examples. CC0
Drop-in TypeSafeClient replacement backed by LLM APIs
Awesome Jev โ evidence-graded index of TypeSafe System One: SDKs, MCP tools, agents, apps and open models. 20 languages, rebuilt every 2 hours.
System One MCP connector to evaluate anything fast and cheap. Give your AI agent direct access to models like: Jev, D1, CLM and Laya
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
Jev-Mem: System-One Controlled Agentic Memory
A community directory of projects built on Jev, TypeSafe AI's System One model.
The System One harness for System One models. Run Jev and other System One models locally or directly on HarnessRouter.ai.
Typed decisions with TypeSafe's Jev, the first System One model
A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast, typed decisions in software โ Choice, Score, and Noul with calibrated probabilities.
๐๐ A multimodal System One decision model that gives calibrated answers to typed questions about screens, photos, video and text in one forward pass.
Open-source, local-first social media research agent for Instagram, TikTok, and LinkedIn. Jev routes read-only steps; socai CLI captures cited browser evidence.
System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics
A source-backed Jev / System One knowledge map: projects, papers, evaluations, robotics, and social discovery.
JevK5: open-weight alternative to TypeSafe Jev. Typed decisions with probabilities in one forward pass; Apache-2.0 weights and code.
Unofficial skill that teaches coding agents to build with TypeSafe AI's Jev: typed decisions, calibrated confidence, and prior art from 150+ community projects.
Unofficial TypeSafe Jev showcase โ System One decisions, not chat.
A lightweight, native Swift 6 bridge integrating TypeSafe AI's Jev System One decision model into Apple's Foundation Models framework.
Typed-decision models (noul / choice / score) trained by a self-improving loop of AI agents โ checkpoints, the code that produced them, and every version that failed.
TypeSafe Jev for DeepSeek Harness, the Model Context Protocol, and plain Node: typed judgments instead of prose, offline by default.
Bud Decision studio is an easy to use cross platform desktop application & serving system for Jev like models locally.
Curated Jev resources and runnable examples for typed AI decisions.
Jev / TypeSafe System One ไธญๆ็ฒพ้ๅ่กจ๏ผๅฎๆน่ตๆใSDKใ็ๆฌพๅบ็จใAgent ๅทฅๅ ทใๅผๆบๅค็ฐไธ็ฌ็ซ่ฏๆต๏ผ้ไธญๆไธๆๆๅ๏ผๆฏๆฅ่ชๅจๆถๅฝ GitHub ็ญ้จ้กน็ฎใ
Provider-neutral System One runtime for TypeScript and Pi
Meet JevEmbed โ turn embeddings into decisions. Choose, score, and judge with your choice of embedding model.
Local proxy that learns your app's typed LLM decisions and answers them with a Laya head. Jev and OpenAI compatible.
Open-source alternative to TypeSafe's Jev: a System One style model layer that gives typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with honest benchmarks
Semantic tool routing and typed System One decisions for the Pi coding agent using TypeSafe Jev
OpenJev: open-source, local alternative to Jev. System-One decision models: typed questions in, calibrated probabilities out; general decisions and browser-agent steps.
๐๐ A 0.8B JEV-like multimodal model playing GUI games directly from raw pixels.
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Jev, TypeSafe's System One classifier, as a tool inside Claude Code, Codex, Pi, and OpenCode: typed classify, check, score, rank, and ask, plus one-command setup.
Open replica of TypeSafe's Jev: typed calibrated decisions in one forward pass, on Gemma 4 E2B / Gemma 3 270M (Modal)
Batched single-token choice inference for open language models, compatible with TypeSafe
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Small System One decision models (17Mโ400M) for Yes/No, Choice, Score, and reranking. Training toolkit, Python inference, and ONNX support for Node.js and browsers.
Dohnuts builds small multimodal models for direct decisions. -> System One model
Open, calibrated System 1 decision models: typed choice / score / yes-no answers with a probability for every option. 400M to 80B; CPU, NVIDIA, Apple Silicon, LM Studio, Ollama and vLLM.
Jev-powered, rule-based grader for text files. Runs every rule against every line in parallel. No skimming, no missed lines.
๐ก The most rigorously verified tracker of the Jev (TypeSafe AI System One) ecosystem โ 1170 confidence-graded entries (A505ยทB665) ยท daily scan, last 2026-10-17 ยท bilingual EN/ไธญๆ ยท API access guide
Let Jev read every new arXiv paper each morning and surface the few you should read. Plain-English interests, calibrated probabilities, ~$0.06/day, fork and go.
A custom coding harness for TypeSafe AI's Jev: an LLM proposes, Jev answers narrow questions, code decides, every step leaves a receipt.
็ฆป็บฟๅฏ็จ็ๆฌๅฐ็ฑปๅๅๅณ็ญ๏ผ4 ๆ ธ CPU ๅ้ข 15.6msใLocal & offline Jev / System One inference on CPU โ ONNX + INT8, no torch at runtime. ๆฏๆ laya / kev / PlayJev
โก Millisecond System-1 judgement for every tool call in DeepSeek Harness โ Jev-powered risk classification & evidence-gated auto-approval. Fail-closed by construction. dsh ็ๆ็ฌฌไธไธช System-1 ๅณ็ญๆไปถ
The most complete gallery of what people build with Jev, TypeSafe's System One model: 3,400+ projects, demos, and write-ups by scenario, each with its original link, image, and description.
A tiny jev-like model that answers Choice, Score and Noul questions in one forward pass and returns calibrated probabilities. MLX or PyTorch, fully offline, System One compatible.
Sixty notebook recipes for typed decisions with Jev: Choice, Noul and Score patterns from a first classification to closed-loop control