30 projects · updated 2 November 2026
Decision models inside AI agents
Tool selection, routing and step gating. An agent choosing its next action is the purest version of the problem this class of model exists for.
23 of these 30 call the hosted API rather than running open weights.
yao8.3k ★YaoApp✨ 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.jev-chat-jarvis8.2k ★jev-chatThe chat decision assistant: before you reply, Jev reads the chat, judges intent and risk, and drafts replies you fill in with one tap. You press send. Android · Windows · macOS · iOS | 聊天辅助决策工具：先看懂对方再回复，发不发由你。py-gpt2.0k ★szczyglis-devDesktop AI Assistant powered by GPT, Gemini, Claude, Grok, Ollama, DeepSeek, Perplexity, and more - chat, agents, tools, MCP, plugins, RAG, vision, voice, image and video generation, speech synthesis and speech recognition, web search, memory, presets, canvas, assistants, themes, computer use. Windows, Linux, and Mac.agentconnect1.5k ★agentconnect-mdThe open-source, multi-agent alternative to Claude Tag. @ any agent, wherever work happens, they work alongside your team, learning as they go.jev-chat-windows869 ★jev-chatJevChat-Windows：聊天窗口旁挂的回复辅助。窗口截图 + 本地离线 OCR 读对方消息 → Jev 判断意图 → 3 条候选一键填入，发送永远手动tiptour-macos690 ★milind-soniOpen-Source fast local computer useAgent652 ★AgentiLoopAgent! now supports macOS 14.6 or later, Apple Silicon and Intel, latest release. The Best AI agent for Mac: drives any app via Accessibility, codes/builds in Xcode, automates AppleScript, JXA, Swift and SMAppService shell (user/root). 23 LLM providers, local/cloud, plus on-device Apple Intelligence and Jev guard. Auto-Pilot, MCP, Avatar.goutoujunshi-jev-chat565 ★shengjidaguai-china狗头军师 Chat：Mac 微信读屏、关系分析与回复草稿悬浮窗jev-chat-jarvis-mac525 ★jev-chat聊天悬浮窗助手（macOS）：屏幕感知 + 本地小模型判断意图与风险，按话术生成回复候选。纯只读。ldraw-nova509 ★antelocAgent tooling for generative LEGO models building, built with Astra and Opus 5.5, powered by JevJevRev490 ★Alex314618-createAn LLM + Jev workflow that changes EVERYTHING. Boost your vertebrate brain with a spine inside. mobile-jev459 ★droidrun▶ Watch the demo — Jev opens Uber, enters a route from San Francisco Airport to the Golden Gate Bridge, and reaches payment selectopenworkbuddy380 ★CatCatUncle本机优先的 AI 办公工作台 · A local-first AI office workbench. Turn requests and source material into editable PPTX, DOCX, XLSX and HTML files. Choose your own models, Skills and MCP tools; inspect execution and results.jev-codex-router275 ★0xNatoshiPer-turn model & reasoning routing for Codex, driven by Jev (TypeSafe System One): picks the model, thinking depth and speed mode for every turn.SystemOneHarness207 ★HarnessRouterThe System One harness for System One models. Run Jev and other System One models locally or directly on HarnessRouter.ai.system1-agents178 ★ThinkFlowLabSystem 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and roboticsrikkahub-sillytavern-android162 ★MiaoWuNYA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.RikkaHubagentic-rl139 ★cookiespiggyAgentic RL 中文零基础教程（33 章）：从概念到 GRPO 实战，含 TRL 最小可跑示例；26–33 章附一套可运行的三方判别模型实证工程（encoder vs LLM-LoRA vs 规则基线）。第 25 章讲清 Jev / TypeSafe System One 与 RL 的能力边界 | Chinese Agentic RL tutorial (33 chapters) + a reproducible discriminative-model benchmarkjev-voice131 ★kevinbadiTalk to your Mac. Local whisper.cpp + one Jev (TypeSafe) call per command + macOS automation.JevAny129 ★SimpleJevOpen infrastructure for training, evaluating, and deploying System 1 decision models across language and multimodal backbones.jev-recruiter53 ★skeptrunedevA Jev powered LinkedIn recruiting agent. Watch it browse relevant profiles, save links, and review evidence against your hiring brief.hermes-nerve51 ★keeltraceNerve is a supervisory nervous system for Hermes agents, adding typed System One decisions, ranking, verification, token-aware oversight, and an opt-in tool gate powered by TypeSafe Jev or Open Source Layacomputah51 ★musubipapiAn experimental project to learn about TypeSafe's Jev. Control your Mac with your voice.Jevbridge48 ★tacticoccACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and typed decisions alongside Codex, Claude, Grok, and OpenCode.OpenJev44 ★zhangcy122Self-evolving cognitive decision engine & TypeSafe Jev alternative. Deliberative decision flywheel ('explore first, crystallize later' System 2→1) with 100% option-order invariance. Typed probabilistic API (Choice, Noul, Score) for Open LLMs, Laya (ModernBERT), & commercial Jev with calibrated logprobs and adaptive safety guards.jev-mcp25 ★blakestone-xMCP server for TypeSafe Jev: typed classify, score, check, match and screen for any agent, with confidence on every answerinvalidate23 ★chopratejasThe invalidation layer for AI memory. Every fact gets a lease; new evidence ends it. Built on TypeSafe Jev.jev-canvas22 ★gaborishkaDraw on a tldraw canvas with your voice and a pointing finger. Jev (TypeSafe System One) decides action, target and place in ~350 ms per spoken word.jev-studio16 ★utk2103if you're experimenting with jev it will be easier from herepi-jev-router13 ★philippdubachA minimal Pareto-optimal OpenRouter model router for pi, based on Jev
Other things people build
Developer tooling 84
Code review gates, CI checks, agent harnesses and editor plugins. The densest cluster in the ecosystem, because a coding agent makes hundreds of small decisions per session and each one costs something.
Open reimplementations 80
People rebuilding the category from open weights: one-pass scorers, constrained decoding over local models, and small models trained to return a calibrated distribution. The fastest-moving cluster here.
Language integrations 30
Libraries that make a typed decision feel native to a language: pattern matching on an answer in Elixir, a probabilistic if in Ruby, a typed method via BAML.
Browser 22
Extensions and automation that judge pages: what to hide, what to click, what is worth reading. Latency matters here in a way it does not on a server.
Find out what your data actually supports
We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.