Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
斑海豹 — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions. 小海豹,大决断。
Laya typed decisions on Linux x86_64 via ONNX Runtime
Claude 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.
✨ All your agents and workspaces in one place, on every device you own. Track tasks on a board, accessible from desktop, mobile, browser, or API. Self-hosted.
Learn a codebase by re-deriving its design decisions yourself. A Claude Code skill.
Fast Rust library for PDF inspection, classification, and text extraction. Intelligently detects scanned vs text-based PDFs to enable smart routing decisions.
Camera-observed UAV pursuit in MuJoCo with Jev decisions, RGB/depth HUD, replay and episode collection.
Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
Inference engine for basal: fast, calibrated typed decisions (choice / yes-no / score) for Polish and English
A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.
Self-hosted decision model (selfjev-4b) with a Jev-compatible API: Python SDK, server, fine-tuning and RLCD.
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
An open-source, ontology-based semantic context accelerator that enables AI agents to make more accurate, consistent, and explainable decisions.
安卓AI聊天端:开箱即聊,无损导入酒馆卡,缓存强省用量,Jev 决策,专属RP模式,防空回,主动信息,前端卡支持,高定制主题,QQbot,AI群聊,插件系统,强兼容中转站。手机移动端原生支持,求 Star 收藏⭐Android AI Chatbox: lossless SillyTavern card import, aggressive cache optimization, Jev decisions, multi-dimensional memory, anti-blank-reply, proactive messages, AI group chat, SillyTavern themes, plugin system, Native mobile.RikkaHub
RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.
Numen is an embodied agent that runs inside Minecraft. It lives in the game as a mod, continually explores the Minecraft world, makes its own decisions, and takes action to get tasks done.
A self-hosted dashboard for CrowdSec: investigate alerts, manage decisions, monitor runtime metrics, and send notifications from one responsive UI.
Local typed decisions, contrastive data curation, and model evaluation.
Autonomous development for real products. Governed agents build from specs you approve, follow the rules you set, and nothing merges until another agent proves it. Your decisions, judgement and taste are the bar that work must clear. Declare your vision and let agents build it.
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
Structured multi-perspective deliberation for hard decisions. Run full councils, focused triads, or duo debates across Claude Code, Codex, Gemini CLI, and OpenCode.
Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reproducible speed and energy benchmarks.
🚀你的私人数据分析助手。通过对话式交互,自动生成可视化报表与商业洞察,让数据决策变得像聊天一样简单。 🚀 Your personal data analysis assistant. Say goodbye to complex SQL and Excel formulas. An LLM-powered data analysis agent. Chat with your data to instantly generate visualizations and business insights. Making data-driven decisions has never been easier.
A zero-embedding approach to video intelligence, using Jev: contact sheets + typed decisions, as MCP tools and a skill for any coding agent.
Understand Your Agents. Turn agent logs into interactive maps and stories. Explore decisions, replay the work, and get answers linked to the original evidence. For coding, research, and creative workflows.
Local-first AI agent workspace for multi-agent collaboration, agent orchestration, scoped permissions, evidence-aware runs, and human-in-the-loop decisions.
The open, local take on Jev: typed decisions from an LLM, without generating a single token
Fast, cheap, typed decisions for Claude Code. Jev (TypeSafe's decision model on OpenRouter) sorts, checks, scores, gates and verifies at 0.3s and a fraction of a cent per item. Claude keeps the reading, writing and judgment.
Agentic GraphRAG is an open source framework that connects your documents, agent activity, and decisions in one graph. Your agents can find evidence, continue work across sessions, and revisit decisions when their sources change.
A curated list of decision models (System One / typed decision models): hosted APIs, open-weight models, runtimes, SDKs, applications, benchmarks, and papers.
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 — Choice, Score, and Noul with calibrated probabilities.
OmniAiLab AI Director|影视级全流程 AI 导演 Skill,也是会引导你做判断的决策系统:先定作品形态,再让你指定导演/摄影机/布光/美学(或交给它判断),从剧本解析到成片交付。An end-to-end AI directing Skill that guides creative decisions — form first, then a menu of director / camera / lighting choices, script to delivery.
NORDEF Matrix Open Control: model-independent AI safety belt with 0/1/2 decisions, Ed25519 root gate, replay protection, evidence chain, and incident-pattern eval bank
AI agent skills for the personal operator's craft — decisions, research, second-brain, content rotation, scenario modeling, and meta-skills to author more. Works with Claude Code, Codex, Cursor.
A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.
Awesome Jev: a source-backed field guide to TypeSafe's System One model, with SDKs, live demos, agent tools, and independent evaluations.
CodeCharta is a visualization tool that transforms complex software architecture and code metrics into interactive, customizable visual maps, empowering everyone to communicate and analyze your codebase. Improve code quality, maintainability, and architectural decisions
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
Typed decisions from a frozen language model and a small physics engine: calibrated probabilities, conformal sets, 73k context, images.
Typed-decision models (noul / choice / score) trained by a self-improving loop of AI agents — checkpoints, the code that produced them, and every version that failed.
Local proxy that learns your app's typed LLM decisions and answers them with a Laya head. Jev and OpenAI compatible.
Local computer use on Apple silicon: on-device typed decisions with laya and form filling with CUA-S1-FORMS, driven through the macOS Accessibility API
Tax document page classifier built on Jev decisions. 100% strict accuracy across 261 IRS forms, ~$0.001 per page.
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.
Jev 决策模型驱动的 UI 自动化测试框架:不生成「下一步做什么」的文字,而是在候选元素里直接打分;一句话写用例,pytest 执行,Allure 出报告,每个操作决策中位 458 ms(UI test automation driven by the Jev decision model — scored decisions, not generated prose; ~458 ms per decision)
RYUX gives AI agents the design intelligence to understand product context, make intentional design decisions, and evaluate what they create.
Get it right the first prompt. A free Claude skill that rewrites your prompt into an optimized format, audits 35 credit-waste patterns, and locks your decisions so you never re-explain.
EverRoom - A workspace that remembers your projects, decisions, and sources.
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
Millisecond decisions, any domain: a 0.8B open "System 1" model that picks between your options with calibrated probabilities. One base, swappable LoRA adapters, on your own hardware.
Local MCP work notes with persistent sessions, decisions, evidence and resumable tasks.
A persistent, file-based memory layer for coding agents — give Claude Code, Codex & others a project brain (durable decisions, requirements, constraints) via a zero-dependency CLI.
A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for typed decisions.
Structured decisions with DiffusionGemma and vLLM. Native image inputs, image choices, live camera sampling, and a compact one-step inference path.
Unofficial skill that teaches coding agents to build with TypeSafe AI's Jev: typed decisions, calibrated confidence, and prior art from 150+ community projects.