Select context for coding agents directly from your website React Grab Select context for coding agents directly from your website How? Point at any element and press ⌘C (Mac) or Ctrl+C (Windows/Linux) to copy the file name, React component, and HTML source code. It makes tools like Cursor, Claude Code, Copilot run up to 3× faster and more accurate. Try out a demo! → Install Run this command at your project root (where next.config.ts or vite.config.ts is located): npx -y grab@latest init Co…
基于 Claude Code 的长篇网文辅助创作系统，解决 AI 写作中的「遗忘」和「幻觉」问题，支持 200 万字量级 连载创作。Webnovel Writer 项目简单介绍 Webnovel Writer 是基于 Claude Code 的长篇网文创作系统，目标是降低 AI 写作中的“遗忘”和“幻觉”，支持长周期连载创作。 详细文档已拆分到 docs/： 架构与模块：docs/architecture.md 命令详解：docs/commands.md RAG 与配置：docs/rag-and-config.md 题材模板：docs/genres.md 运维与恢复：docs/operations.md 文档导航：docs/README.md 快速开始 1) 安装插件（官方 Marketplace） claude plugin marketplace add lingfengQAQ/webnovel-writer --scope user claude plugin install webnovel-writer@webnovel-writer-marketplace --…
CyberStrikeAI is an AI-native security testing platform built in Go. It integrates 100+ security tools, an intelligent orchestration engine, role-based testing with predefined security roles, a skills system with specialized testing skills, and comprehensive lifecycle management capabilities. CyberStrikeAI 中文 | English CyberStrikeAI is an AI-native security testing platform built in Go. It integrates 100+ security tools, an intelligent orchestration engine, role-based testing with predefine…
A refined collection of Hypervelocity Engineering components (instructions, prompts, agents) to start your project off right, or upgrade your existing projects to get the most out of all Copilots title description author ms.date ms.topic keywords estimated_reading_time HVE Core Hypervelocity Engineering prompt library for GitHub Copilot with constraint-based AI workflows and validated artifacts Microsoft 2026-02-18 overview hypervelocity engi…
Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible. AReaL: A Large-Scale Asynchronous Reinforcement Learning System | Paper | Documentation | 中文文档 | Ask DeepWiki | 🤗 Models & Data | WeChat (微信) Group | AReaL is an open-source fully asynchronous reinforcement learning training system for large reasoning and agentic models, developed by members from Tsinghua IIIS and the AReaL Team at Ant Group. Built upon the open-source project ReaLHF, we are fully committed to open…
A specialized Claude Code workspace for creating long-form, SEO-optimized blog content for any business. This system helps you research, write, analyze, and optimize content that ranks well and serves your target audience.SEO Machine A specialized Claude Code workspace for creating long-form, SEO-optimized blog content for any business. This system helps you research, write, analyze, and optimize content that ranks well and serves your target audience. Overview SEO Machine is built on Claude Co…
A complete AI agency at your fingertips** - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.🎭 The Agency: AI Specialists Ready to Transform Your Workflow A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven d…
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me. A memory management toolkit for AI agents — Remember Me, Refine Me. For legacy versions, see 0.2.x Documentation 🧠 ReMe is a memory management framework built for AI agents, offering both file-based and vector-based memory systems. It addresses two core problems of agent memory: limited context windows (early information gets truncated or lost during long conversations) and stateless sessions …
Build and run agents you can see, understand and trust. 中文主页 | Tutorial | Roadmap (Jan 2026 -) | FAQ What is AgentScope? AgentScope is a production-ready, easy-to-use agent framework with essential abstractions that work with rising model capability and built-in support for finetuning. We design for increasingly agentic LLMs. Our approach leverages the models' reasoni…