Remarc

collaboration

来源： admin_cms · cms editor · 2026/9/8

{"en":"Remarc addresses the context-sharing bottleneck in human-AI collaboration. By capturing precise interactive elements (like CSS, DOM, selected text, or annotated screenshots) on macOS and browsers, and exposing them to AI agents via MCP, it allows agents to understand your feedback exactly as a human colleague would.","zh":"Remarc 解决了人与 AI 协作中的“上下文传递”痛点。通过在 macOS 系统底层及浏览器中捕获精确的交互元素（如 CSS、DOM、选中文本或带标注的截图），并利用 MCP 协议直接提供给 AI 智能体，它让 AI 能够像人类同事一样理解你的修改意见。"}

来源： admin_cms · cms editor · 2026/9/8

{"steps":[{"en":"Download and install the Remarc client from the official website or GitHub Releases.","zh":"从官网或 GitHub Releases 下载并安装 Remarc 客户端。"},{"en":"Install the companion Chrome extension to capture web elements and CSS context.","zh":"安装配套的 Chrome 浏览器扩展程序，以便捕获网页元素和 CSS 上下文。"},{"en":"Select text, capture a screen region with annotations, or record voice feedback on your Mac.","zh":"在 macOS 屏幕上选择任意文本、截取区域并添加标注，或使用语音录制反馈。"},{"en":"Organize the captured feedback cards into specific sessions within Remarc.","zh":"在 Remarc 中将捕获的反馈整理到特定的会话（Session）中。"},{"en":"Configure and connect your AI agent (such as Cursor, Claude Code, or Claude Desktop) to read and resolve comments via MCP.","zh":"配置并连接你的 AI 智能体（如 Cursor、Claude Code 或 Claude Desktop），通过 MCP 协议读取这些反馈并开始自动修复。"}],"installAt":"unknown","difficulty":"unknown"}

来源： admin_cms · cms editor · 2026/9/8

{"en":"Remarc is an open-source feedback layer designed for macOS to streamline collaboration with AI coding agents. It allows you to point at anything on your screen—text, screenshots, web elements, or voice—and leave comments. Remarc automatically captures the rich underlying context (such as source apps, web CSS, accessibility data, or React components) and exposes it to AI agents via the Model Context Protocol (MCP), enabling agents to read and resolve your feedback directly without manual prompt building.","zh":"Remarc 是一款专为 macOS 设计的开源 AI 协作反馈工具。它作为用户与 AI 编程智能体（如 Claude Code、Cursor 等）之间的桥梁，允许用户直接在屏幕上的任何地方（文本、截图、网页元素或语音）进行标注和评论。Remarc 会自动收集相关的原始上下文（如源应用、网页 CSS、无障碍数据等），并通过 Model Context Protocol (MCP) 协议将其传递给 AI 智能体，使智能体能够直接理解并解决这些反馈，无需用户手动复制粘贴或重新编写提示词。"}

来源： admin_cms · cms editor · 2026/9/8

v1.2.3

来源： GitHub 官方接口 · latest_release=v1.2.3 · 2026/9/18

MIT

来源： GitHub 官方接口 · license.spdx_id=MIT · 2026/9/18

否

来源： admin_cms · cms editor · 2026/9/8

{"en":"A macOS feedback layer that captures screen context and comments for AI agents via MCP.","zh":"专为 AI 智能体设计的 macOS 屏幕反馈与上下文收集工具。"}

来源： admin_cms · cms editor · 2026/9/8

macos、browser

来源： admin_cms · cms editor · 2026/9/8

ai-apps

来源： 项目说明文档 · hint=ai-apps · 2026/8/21

desktop、browser_extension

来源： admin_cms · cms editor · 2026/9/8

design、qa

来源： admin_cms · cms editor · 2026/9/8

是

来源： admin_cms · cms editor · 2026/9/8

是

来源： admin_cms · cms editor · 2026/9/8