A skill for your coding agent to stop it from burying the answer. ADHD-friendly output. ADHD-friendly outputs. No ADHD diagnosis needed! Install Claude Code claude plugin marketplace add ayghri/i-have-adhd claude plugin install i-have-adhd@i-have-adhd Then type /i-have-adhd. No local clone needed — Claude Code fetches the repo and keeps it updated. Codex codex plugin marketplace add ayghri/i-have-adhd --ref main codex plugin add i-have-adhd@i-have-adhd Then type $i-have-adhd to …
《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码深入理解 AI Agent：设计原理与工程实践 中文 ← 当前 · 台灣正體 · English · Tiếng Việt · தமிழ் Agent = LLM + 上下文 + 工具——本书围绕这个核心公式，用 10 章把 AI Agent 从原理讲到工程实战。全书正文、配图、88 个配套实验全部开源，欢迎亲手把实验跑一遍。 📚 10 章 正文，从基础到生产 📂 88 个 配套项目（70+ 可独立运行） 🌐 5 种 语言：中 / 台灣正體 / 英 / 泰 / 越 📖 电子书 📥 直接下载（全书正文，开源免费）。以下链接始终指向 main 分支的最新构建；固定版本见 Releases： 中文（原版）：PDF · EPUB 台灣正體（社区翻译，by @tigercosmos）：PDF · EPUB 英文（社区翻译，by @nsdevaraj）：PDF · EPUB 泰米尔语（社区翻译，by @nsdevaraj）：PDF · EPUB 越南语（社区…
ggml speech-to-text inference for 16+ model familiestranscribe.cpp C/C++ speech-to-text inference library. Runs diverse STT model families via GGUF models on the ggml runtime, with Metal, Vulkan, and CUDA backends for fast GPU inference plus a tinyBLAS-accelerated CPU path. 16 model families and 60+ variants, streaming and batch. Every model we publish under handy-computer is numerically verified and WER-tested against its reference implementation Supported models: Family Variants Docs P…
Free, open-source web app for learning about ontologies and Microsoft Fabric IQ. Explore a catalogue of pre-built ontologies, design your own visually, export as RDF/XML, and share interactive diagrams. Zero backend, fully static.Ontology Playground (Preview) ☕ Note: This project was developed with AI-assisted coding. Try it live → microsoft.github.io/Ontology-Playground A free, open-source web application for learning about ontologies and Microsoft Fabric IQ. Explore pre-built ontologies, d…
Self-hosted deployment platformOpenship Open-source, self-hostable deployment platform with built-in CI/CD. Push code, ship containers, manage infrastructure — from a desktop app, web dashboard, or CLI. Quick Start · Features · Interfaces · Docs · Contributing Quick Start npm i -g openship # or: curl -fsSL https://get.openship.io | sh openship up # installs Openship as a background service (starts on boot, auto-restarts)…
A batteries-included framework for building web apps Topcoat The full full-stack framework for Rust Topcoat is a modular, batteries-included Rust framework for building fullstack apps. It prioritizes simplicity and productivity. See Learn Topcoat to get started, or the Roadmap for what's coming next. Early-stage and experimental. Expect breaking changes. use topcoat::{ Result, router::{Router, RouterBuilderDiscoverExt, page}, view::{component, view}, }; #[tokio::m…
🚀 The fast, Pythonic way to build MCP servers and clients. FastMCP 🚀 Move fast and make things. Made with 💙 by Prefect The Model Context Protocol (MCP) connects LLMs to tools and data. FastMCP gives you everything you need to go from prototype to production: from fastmcp import FastMCP mcp = FastMCP("Demo 🚀") @mcp.tool def add(a: int, b: int) -> int: """Add two numbers""" return a + b if __name__ == "__main__": mcp.ru…
An unofficial desktop client for JellyfinJellium Desktop An unofficial Jellyfin desktop client built on CEF and mpv. Downloads Linux AppImage x86_64 aarch64 Arch Linux (AUR): jellium-desktop-git Flatpak (non-Flathub bundle) macOS Apple Silicon Intel After installing, remove quarantine: sudo xattr -cr /Applications/Jellium\ Desktop.app Windows x64 arm64 Development This project uses just as a command runner. Available recipes: [package] appimage ... # [linux] build AppImage …
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations A Flexible Framework for Experiencing Cutting-edge LLM Inference/Fine-tune Optimizations 🎯 Overview | 🚀 Inference | 🎓 SFT | 🔥 Citation | 🚀 Roadmap(2026Q2) 🎯 Overview KTransformers is a research project focused on efficient inference and fine-tuning of large language models through CPU-GPU heterogeneous computing. The project now exposes two user-facing capabilities from the kt-kernel sour…