Software Factory Foreman based on TypeSafe Jev model
Audit your GitHub repository search ranking signals. Checks name, description, topics, README, stars, forks, and activity.
No description available.
Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
A fruit fly connectome as a drone pilot. Camera -> fly eyes -> spiking brain -> descending neurons -> drone. Live 3D demo in your browser.
Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
Private source preview: native Jianying drafts, isolated editing/export, and standalone Agent Skill.
A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.
Runtime behavioral ablation for compressed LLMs. First target: Ternary Bonsai 2 27B — no weight modification or re-quantization. by OrcaRouter team
CVE-2026-63030 & CVE-2026-60137 RCE chain proof-of-concept
No description available.
A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.
tiny Jev-like model built on top of Qwen2.5-0.5B you can train and run on your MacBook
EvoOntology: A Self-Evolving Ontology Layer for Data Agents ⚙️ EvoOntology插件为Claude Code/Codex 建立&进化本体层
Jev-compatible API endpoint based on open models (prefill-only)
No description available.
My Python learning journey — basic programs, practice, and projects.
Shrinkflation detector for Codex
Audit a GitHub repository before launch - ten readiness checks scored 0-10: name, description, topics, README, license, demo, installation, contributing guide and issue templates. Free and open source.
No description available.
No description available.
An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.
Local typed decisions, contrastive data curation, and model evaluation.
A local inference engine for Apple silicon, built around the model.
Turn any open model into a classifier/jev endpoint
Suitable for Android APK reverse engineering analysis
Executable cash-exit capacity for Solana tokenized equities and stock-quoted launches — measured, not estimated.
归藏 product video skill:复用真实产品组件和设计语言,用代码制作软件更新宣传片。包含分镜文案、原创配乐、动作音效与视频渲染,支持 Claude Code 和 Codex。
通用在线视频下载与媒体提取技能。用户提供 YouTube/youtu.be、B站/bilibili/b23.tv、X/Twitter、Vimeo、TikTok、Instagram、Facebook、Twitch、Reddit 或其他 yt-dlp 支持的视频链接,并要求下载/保存视频、提取 audio/MP3、下载字幕、查看视频信息或更新 yt-dlp 时使用。微信视频号 weixin.qq.com/sph 链接转交 qiaomu-wx-video,绝不自动化操作微信客户端。
Build calibrated AI classifiers from human feedback using Jev and GEPA.
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
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.
Rules, playbooks, bot roles and a failure log from the xAI Grok Bot team's 72-hour live build. Drop AGENTS.md into your repo and go.
No description available.
Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents (also Claude Code and Codex)
Astra plans and reviews; DeepSeek Flash builds. A native Codex workflow with phased tasks, verification, safe installation and reversible setup.
The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
Open, Jev-compatible System One decision server on DiffusionGemma
An agent skill that finds where a photo was taken — OpenStreetMap geometry, elevation skylines, satellite imagery and street view — and shows its work. Works with Claude Code, Codex, Cursor, Gemini CLI, OpenCode and GitHub Copilot.
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
Marpで登壇スライドを作るための、ストーリー・図・デザインバランスのスキル集と黒地テーマ、検査ツール
Silent Crypto Miner is an advanced cryptocurrency mining builder and runtime engine with multi-algorithm CPU/GPU support and intelligent resource management. Create custom mining executables with configurable algorithms, cross-platform output, real-time monitoring, session persistence, thermal throttling, scheduling, and hashrate optimization.
An awesome collection of Jev use cases, workflows, and agent skills.
A comprehensive crypto tax solution supporting leading wallets, exchanges, and blockchain explorers.
Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data.
A searchable gallery of well-designed Figure 1 / teaser figures from ICLR, ICML, NeurIPS, CVPR, ACL, AAAI (2023-2025) — 2,298 curated figures for paper-overview inspiration. Pure static site.
A family of System One-style models fine-tuned from Qwen3.5, designed for one-pass typed decisions with calibrated probabilities.
Async Python client for collecting public data from X (Twitter) - search, profiles, threads, replies, and media. Built-in account rotation, adaptive rate limiting, and export to JSON/CSV/SQLite.
The open, local take on Jev: typed decisions from an LLM, without generating a single token
A self-hosted drop-in replacement for TypeSafe's jev, powered by GliFormer.
A very fast document classifier/splitter using Jev
微信(Windows 4.x)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
AgentJev-0.6B - a fast 'System One' decision model for AI Agents: feed it any unstructured state (diffs, traces, logs) and structured questions, get calibrated probability distributions back in one ~50ms forward pass. Zero output-token decoding.
微信消息意图识别悬浮窗(macOS):看屏 + 本地小模型判断意图和风险,再按话术生成回复候选。纯只读、不注入微信。
No description available.
非自回归System 1决策引擎,专为结构化类型决策场景设计 DeepOpen Multilingual, non-autoregressive System 1 decision engine.
EmbodiedJev: MuJoCo robot decision workbench with MiniCPM5-2B, Jev and compatible model APIs
Personal or team knowledge base, supports MCP API calls.
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating)
No description available.