Remarc

Your feedback layer for AI collaboration. Point at anything on your Mac - text, screenshots, web elements, or voice - and your agent reads and resolves your comments over MCP. (by metedata)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better Remarc alternative or higher similarity.

Remarc discussion

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Remarc reviews and mentions

Posts with mentions or reviews of Remarc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2026-09-08.
  • Show HN: Remarc – better contextual feedback for AI agents
    2 projects | news.ycombinator.com | 8 Sep 2026
    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 to that. What did you mean here? See this button? Here is a screenshot. I circled it because it is missing a hover state. This sentence in the third paragraph? Rephrase it.

    If you are an opinionated builder, this gets clunky quickly. You either dictate paragraphs of messy feedback or resolve every detail one by one. AI is good at parsing mess, but garbage in, garbage out still applies.

    I could get products to 90% quickly. The last 10% of feedback and polish was the bottleneck. So I built Remarc.

    Remarc lets you select text in any Mac app, capture and annotate a screenshot, or comment on a web element. Each comment keeps its original context, status, and session. A connected agent can read the session, work through it, update statuses, and leave resolution summaries over MCP.

    Think of it like leaving comments on a google doc vs sending a long rambling feedback note via Slack - the more granular you get with your feedback, the more it benefits from structure & better context.

    Remarc is free and open source, with no account, subscription, or telemetry.

    https://remarc.app/

  • Show HN: Remarc – provide more contextual and structured feedback to AI agents
    2 projects | news.ycombinator.com | 16 Aug 2026
    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 to that. What did you mean here? See this button? Here is a screenshot. I circled it because it is missing a hover state. This sentence in the third paragraph? Rephrase it.

    If you are an opinionated builder, this gets clunky quickly. You either dictate paragraphs of messy feedback or resolve every detail one by one. AI is good at parsing mess, but garbage in, garbage out still applies.

    I could get products to 90% quickly. The last 10% of feedback and polish was the bottleneck. So I built Remarc.

    Remarc lets you select text in any Mac app, capture and annotate a screenshot, or comment on a web element. Each comment keeps its original context, status, and session. A connected agent can read the session, work through it, update statuses, and leave resolution summaries over MCP.

    Think of it like leaving comments on a google doc vs sending a long rambling feedback note via Slack - the more granular you get with your feedback, the more it benefits from structure & better context.

    $0. Remarc is free and open source, with no account, subscription, or telemetry. It requires macOS 14 or later.

    Download: https://remarc.app

  • Show HN: Remarc – contextual feedback for coding agents via MCP
    1 project | news.ycombinator.com | 14 Aug 2026
  • Show HN: Remarc – comment on anything on your screen and send it to your agent
    1 project | news.ycombinator.com | 13 Aug 2026
  • Show HN: Remarc – Your feedback layer for AI collaboration
    1 project | news.ycombinator.com | 11 Aug 2026
  • A note from our sponsor - SaaSHub
    www.saashub.com | 13 Sep 2026
    SaaSHub helps you find the best software and product alternatives Learn more →

Stats

Basic Remarc repo stats
7
65
7.2
6 days ago

metedata/Remarc is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of Remarc is Swift.


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