RobinRelay – Slack-native memory layer for noisy alerts

In plain words

RobinRelay is a Slack-native assistant that helps SRE and DevOps teams manage alert fatigue and preserve institutional knowledge. It automatically detects recurring alerts and surfaces past investigation summaries, root causes, and fixes directly in Slack channels. The tool includes dashboards showing alert patterns and insights without requiring teams to leave Slack. Built by an ex-SRE, it addresses the problem of losing context when the same alerts recur across teams or time periods.

written from the facts on this page · September 2026

From the sources

AI on-call copilot for Slack that cuts MTTR by 75%. Reduce alert noise, recall past incident fixes, and save thousands of engineering hours yearly.

RobinRelay remembers every alert, fix, and discussion your team has ever had. One memory layer for Slack, GitHub, Linear, and CLI. Your incidents live everywhere. RobinRelay connects them all into a single searchable memory layer. Install once. RobinRelay listens to alerts in your chosen Slack channel and replies with context from past investigations. Click "Add to Slack" and authorize the app in your workspace. Go to RobinRelay's App Home and choose the alert channel to monitor. RobinRelay replies under new alerts with past investigations, fixes, and noisy-alert stats. DM Robin directly or @mention it in a thread to ask questions about past incidents. This app uses AI to generate…from robinrelay.ai

In the maker’s words, at launch

Hi amazing community, I’m Ali a solo founder and ex-SRE. After working at Dynatrace and Gartner, I left my job to build RobinRelay, a Slack-native assistant for noisy alerts and incident memory. The Problem: SRE and DevOps teams get flooded with alerts in Slack. People investigate in threads or the main alert…

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