幫助使用 AI 寫程式代理的使用者在 Mac 螢幕或網頁上添加評論、截圖和語音回饋，並通過 MCP 將上下文傳遞給代理處理。
remarc.app 源碼AI 模型與智慧體 / 智慧體工具與 MCP
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- 3 個月前
- 2026-08-11 · 估算
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行銷動作
發布、搜尋與內容、引薦、促銷在 Show HN 發布（1 分）發布
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 個月前發布頁
在 Show HN 發布（1 分）發布
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 個月前發布頁
在 Show HN 發布（3 分）發布
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 個月前發布頁
在 Show HN 發布（2 分）發布
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 個月前發布頁
在 Show HN 發布（3 分）發布
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 個月前發布頁
第三方評測與案例拆解
客戶來源管道拆解、工程師評測與開源檔案- 創作者原帖摘錄：
- 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
- 創作者原帖摘錄：
- 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
- 創作者原帖摘錄：
- 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
- 創作者原帖摘錄：
- 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
- 創作者原帖摘錄：
- 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
開源倉庫與 Agent 生態
- 連接生態與整合：
- Claude CodeCodexCursorClaude
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站點權重 —網域名稱註冊 2026-02-06
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流量資料：Vaneform
定價
官網未公開方案價格。
試用：未提供 · 觀察於 2026-11-06 · 來源頁面
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問題與證據
- Remarc 是什麼產品，支援哪些平台？
- Remarc 歸屬「智慧體工具與 MCP」市場領域：幫助使用 AI 寫程式代理的使用者在 Mac 螢幕或網頁上添加評論、截圖和語音回饋，並通過 MCP 將上下文傳遞給代理處理。。 支援平台包括：瀏覽器擴充功能。
- Remarc 是開源專案嗎？採用什麼協議？
- Remarc 擁有公開程式碼倉庫（https://github.com/metedata/Remarc），已公開原始碼倉庫。來源
同分類研究對象
這些產品屬於同一目錄分類。選型時請進一步核對客戶任務、功能與部署要求。