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Remarc – contextual feedback for coding agents via MCP

Remarc – contextual feedback for coding agents via MCP is a skill AI agent for To provide real-time contextual feedback to AI coding agents so they can better understand and execute complex programming tasks. Pricing: 免费开源. As of 2026-08-14, KanonAgent records 3 票. First indexed by KanonAgent on 2026-08-14.
Remarc enhances AI coding agents by delivering real-time contextual feedback through the MCP protocol, improving their accuracy in multi-step programming tasks.
Remarc – contextual feedback for coding agents via MCP — official preview image
3 upvotes
Tracked by Kanon since Aug 14, 2026
🤖 Agent teardown · skill
Job to be doneTo provide real-time contextual feedback to AI coding agents so they can better understand and execute complex programming tasks.
AutonomyL2 · tool-calling(evidence: "Grab any region of the screen, adjust the selection, then ad…")
Who it is forAI coding assistant developers and AI agent builders
Prerequisitesopen source
Integrationsmcp · chrome
Why it matters

It fills a critical gap in AI agents' contextual understanding during complex code generation, making it a key component in the MCP ecosystem.

Evidence quotesverbatim, from the product’s own materials

“public GitHub repository (README fetched)”— structural
“Grab any region of the screen, adjust the selection, then add arrows, shapes”— readme
“Remarc runs from the menu bar, ready whenever you spot something worth changing”— readme
“model-context-protocol”— topics
“companion Chrome extension”— readme
“Remarc is the feedback layer between you and your coding agent”— readme
Signal source: Show HN
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FAQ

What is Remarc?

Remarc enhances AI coding agents by delivering real-time contextual feedback through the MCP protocol, improving their accuracy in multi-step programming tasks.

What does Remarc do?

To provide real-time contextual feedback to AI coding agents so they can better understand and execute complex programming tasks.

Why does Remarc matter?

It fills a critical gap in AI agents' contextual understanding during complex code generation, making it a key component in the MCP ecosystem.

How much does Remarc cost?

免费开源

Is Remarc free?

Yes — Remarc has a free tier. Pricing as stated on its own page: 免费开源

Is Remarc open source?

Yes — Remarc is open source.

What does Remarc integrate with?

mcp,chrome

How popular is Remarc?

As tracked by KanonAgent: 3 upvotes (first indexed 2026-08-14).

What are the best Remarc alternatives?

Similar AI agents tracked by KanonAgent: deepseek-harness, claude-mem, open-design, deer-flow, Agent-Reach, oh-my-openagent.

Remarc – contextual feedback for coding agents via MCP alternatives — similar AI agents

deepseek-harnessclaude-memopen-designdeer-flowAgent-Reachoh-my-openagent

Where this fits — browse the same shelf

AI Agent Skills & PluginsAI agents that work with MCP (Model Context Protocol)AI agents that work with Chrome