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.
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
Awesome Jev β evidence-graded index of TypeSafe System One: SDKs, MCP tools, agents, apps and open models. 20 languages, rebuilt every 2 hours.
A curated list of decision models (System One / typed decision models): hosted APIs, open-weight models, runtimes, SDKs, applications, benchmarks, and papers.
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/δΈζ, JSON schema and platform compatibility.
System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics
JevK5: open-weight alternative to TypeSafe Jev. Typed decisions with probabilities in one forward pass; Apache-2.0 weights and code.
Curated Jev resources and runnable examples for typed AI decisions.
Dohnuts builds small multimodal models for direct decisions. -> System One model
Native MLX runtime for Laya typed decision models β 7β14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
Intent compiler for AI agents β 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
π₯π₯ Awesome Jev: open-source models, projects, benchmarks, and independent evaluations for Jev and System One models.
Drop-in TypeSafeClient replacement backed by LLM APIs
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
The System One harness for System One models. Run Jev and other System One models locally or directly on HarnessRouter.ai.
ππ A multimodal System One decision model that gives calibrated answers to typed questions about screens, photos, video and text in one forward pass.
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 β System One decisions, not chat.
Meet JevEmbed β 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
OpenJev: open-source, local alternative to Jev. System-One decision models: typed questions in, calibrated probabilities out; general decisions and browser-agent steps.
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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 (17Mβ400M) for Yes/No, Choice, Score, and reranking. Training toolkit, Python inference, and ONNX support for Node.js and browsers.
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.
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.
离线ε―η¨ηζ¬ε°η±»εεε³ηοΌ4 ζ Έ CPU ει’ 15.6msγLocal & offline Jev / System One inference on CPU β ONNX + INT8, no torch at runtime. ζ―ζ laya / kev / PlayJev
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.