帮助使用 AI 编程代理的用户在 Mac 屏幕或网页上添加评论、截图和语音反馈，并通过 MCP 将上下文传递给代理处理。
remarc.app 源码AI 模型与智能体 / 智能体工具与 MCP
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- 首次发布
- 3 个月前
- 2026-08-11 · 估算
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发布、搜索与内容、引荐、促销在 Show HN 发布（1 分）发布
Remarc – better contextual feedback for AI agents — Like any side project, Remarc started with my own problem: there was no good way to give AI coding agents contextual feedback on their own…
9 月 8 日 · 2 个月前发布页
在 Show HN 发布（1 分）发布
Remarc – provide more contextual and structured feedback to AI agents — Like any side project, Remarc started with my own problem: there was no good way to give AI coding agents contextual feedback on their own…
8 月 16 日 · 3 个月前发布页
在 Show HN 发布（3 分）发布
Remarc – contextual feedback for coding agents via MCP — Like any side project, Remarc had its innocent beginnings in my own problem — there was no good way to provide contextual feedback to AI a…
8 月 14 日 · 3 个月前发布页
在 Show HN 发布（2 分）发布
Remarc – comment on anything on your screen and send it to your agent — Like any side project, Remarc had its innocent beginnings in my own problem — there was no good way to provide contextual feedback to AI a…
8 月 13 日 · 3 个月前发布页
在 Show HN 发布（3 分）发布
Remarc – Your feedback layer for AI collaboration — Hey HN, Mete here Today I released Remarc - the missing feedback layer between you and your coding agent. Point at anything on your Mac -…
8 月 11 日 · 3 个月前发布页
第三方评测与案例拆解
获客渠道拆解、工程师评测与开源档案- 创作者原帖摘录：
- Hey HN, Mete here Today I released Remarc - the missing feedback layer between you and your coding agent. Point at anything on your Mac - text, screenshots, web elements, or voice - and your agent reads and resolves your comments over MCP. Think of it like Google doc commenting for anything on your screen. It's also completely free, local, and open-source. A
- 创作者原帖摘录：
- Like any side project, Remarc had its innocent beginnings in my own problem — there was no good way to provide contextual feedback to AI agents on their own output. Social media may make building with AI seem like this: ask for the thing, blindly approve the plan, get the thing. Post “omg claude just one-shotted blah”. Profit. But if you’ve ever worked on a
- 创作者原帖摘录：
- Like any side project, Remarc had its innocent beginnings in my own problem — there was no good way to provide contextual feedback to AI agents on their own output. There are a plethora of tools for collaborating with humans, but surprisingly little for collaborating with AI. Chat just wasn’t cutting it for the kind of contextual feedback I wanted to give my
- 创作者原帖摘录：
- Like any side project, Remarc started with my own problem: there was no good way to give AI coding agents contextual feedback on their own output. There are plenty of tools for collaborating with humans, but surprisingly few for collaborating with AI. Chat was not cutting it for the feedback I wanted to give: This thing in the implementation plan? Change it
- 创作者原帖摘录：
- Like any side project, Remarc started with my own problem: there was no good way to give AI coding agents contextual feedback on their own output. There are plenty of tools for collaborating with humans, but surprisingly few for collaborating with AI. Chat was not cutting it for the feedback I wanted to give: This thing in the implementation plan? Change it
开源仓库与 Agent 生态
- 连接生态与集成：
- Claude CodeCodexCursorClaude
流量来源
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试用：未提供 · 观察于 2026-11-06 · 来源页面
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问题与证据
- Remarc 是什么产品，支持哪些平台？
- Remarc 归属「智能体工具与 MCP」赛道：帮助使用 AI 编程代理的用户在 Mac 屏幕或网页上添加评论、截图和语音反馈，并通过 MCP 将上下文传递给代理处理。。 支持平台包括：浏览器扩展。
- Remarc 是开源项目吗？采用什么协议？
- Remarc 拥有公开代码仓库（https://github.com/metedata/Remarc），已公开源代码仓库。来源
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