A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control Unreal Engine through the native C++ Automation Bridge plugin. Built with TypeScript and C++.

Collection of resources to help AI agents build better with Sanity.

Pre-build reality check for AI coding agents. Scans GitHub, HN, npm, PyPI, Product Hunt. MCP server. 290+ stars.

BrandDocs is a set of agent skills that learn your existing Word, PowerPoint and Excel templates and generate new on-brand documents from them. Unlike generic AI document generators, it preserves brand, structure, styles and formulas by construction. Built for Claude Code, Codex and compatible AI agents.

Manage your Hevy workouts, routines, folders, and exercise templates. Create and update sessions faster, organize plans, and search exercises to build workouts quickly. Stay synced with changes so your training log is always up to date.

在 Web UI 中一键管理 DeepSeek Harness (DSH) 插件：查看、实时启停、安装/卸载、更新检测、健康检查（依赖/冲突/兼容性分析）、环境管理、插件市场。bundle 与非 bundle 插件全覆盖

DSH插件市场 / DSH Plugin Marketplace: 在 DeepSeek Harness Web GUI 中一键浏览、安装与更新 GitHub topic:dsh-plugin 的全部插件 | browse, install & update all GitHub dsh-plugin plugins in the DSH Web GUI

Local-first AI agent runtime with sandboxed sessions, MCP tools, memory, credentials, audit/replay, and a built-in console. Run OpenAI, Anthropic, MiniMax, DeepSeek V4, and OpenAI-compatible models on your infrastructure.

Recreate any web animation from a screen recording. A motion-design plugin: analyzes motion (timing, easing, stagger, loops) and rebuilds it as GSAP / CSS / Framer Motion / Lottie code.

Tu equipo de desarrolladores en un plugin. 10 agentes, 11 skills planas, 18 comandos /alfred-dev:*. Memoria persistente, quality gates con evidencia y MCP local.

Agent-native TypeScript framework for building MCP servers. Build tools, not infrastructure. Declarative definitions with auth, multi-backend storage, OpenTelemetry, and first-class support for Bun/Node/Cloudflare Workers.

一款主打安全且更尊重开发者的开源 DeepSeek Harness 桌面客户端。官方 Web UI ，长任务常驻托盘，支持通知推送；内置安全市场，600+精选插件支持先审查、再安装。

DSH Web内目前最无感的消息撤回、重编辑插件，原版体验，兼容性强，功能简单可开关，设置丰富，现代化轻量ui框架。The most seamless message recall & re-edit plugin for DSH Web — native experience, strong compatibility, simple toggles, rich settings, modern lightweight UI. DSH Web で最もシームレスなメッセージ撤回・再編集プラグイン——ネイティブ体験、高い互換性、シンプルなトグル、充実した設定、モダンで軽量な UI。

Claude Code plugin: scope-aware protection — allows destructive ops (rm, mv, chmod) within project, blocks them outside. Built for dangerouslySkipPermissions mode.

Use Claude Code like a Director, not a Programmer. MIT toolkit with Auto-Loop, guided setup, 27 commands, 14 agents, and 32 skills.

🚀 Expert guidance for HarmonyOS NEXT (API 12+) development. Covers IDE operations, performance tuning, architecture (HAP/HAR/HSP), and automation testing.

A toolkit of skills, templates, and guides for bootstrapping AI-agent-friendly projects. Started from Anthropic's Claude Code engineering patterns, extended with a per-project self-improvement loop and more.

Provider balances, subscription quotas, and token-usage analytics for the DeepSeek Harness Web GUI (dsh web).

Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as Claude Code rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth.

AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copilot. Test Flutter, React Native, iOS, Android, Web, Electron, Tauri, KMP, .NET MAUI — all from natural language.

Make any repo AI-first - write sustainable code from the start, or refactor a legacy codebase to prepare it for agent-driven development.Building blocks for Claude Code: subagents, slash commands, hooks, and workflow patterns. Copy what you need. A working developer's stack for Claude Code.

DeepSeek Harness 原生桌面版，基于 Tauri 2，内置 Node.js 运行时，一键安装，极速启动，托盘常驻，自动更新。DeepSeek Harness native desktop version: built on Tauri 2 with a bundled Node.js runtime.

Builds up to a goal in a field you have no expertise in: splits it into the foundations that goal actually needs, mobilizes what you already hold, learns what is missing, and leaves every solved path behind for the next goal. Nothing is called done until a check passes.

Code intelligence graph — MCP server + AI agent skills + visualization UI