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title: Why We Replaced Stateless AI In Our Incident War Room
description: A story describes building SiteRecall, an incident-response AI agent that uses a knowledge-graph memory system called Hindsight (paired with Vectorize agent...
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og:description: A story describes building SiteRecall, an incident-response AI agent that uses a knowledge-graph memory system called Hindsight (paired with Vectorize agent...
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# Why We Replaced Stateless AI In Our Incident War Room

**[Medium](https://daily.dev/sources/medium_js)** · 6 min read · 0 upvotes · 0 comments

## Summary

A story describes building SiteRecall, an incident-response AI agent that uses a knowledge-graph memory system called Hindsight (paired with Vectorize agent memory and Gemini 3.8 Flash) to avoid repeating past production mistakes. The narrative opens with a stateless LLM assistant recommending a pod restart during a payment outage that wiped idempotency locks, causing 18,000 dropped orders and $90,000 in losses, when the team had already solved the identical issue 18 days earlier. The post walks through the architecture (alert ingestion, multi-hop memory recall, guardrailed reasoning, retain/reflect loop), includes TypeScript code samples calling a Hindsight client, and presents before/after metrics claiming MTTR dropped from 48 minutes to 34 seconds and antipattern suggestion rate fell from 68% to 0%.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@kareemabdul7142/why-we-replaced-stateless-ai-in-our-incident-war-room-04d761c1d1d1>

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---

Tags: [#rag](https://daily.dev/tags/rag), [#google-gemini](https://daily.dev/tags/google-gemini), [#sre](https://daily.dev/tags/sre)

[View this post on daily.dev](https://daily.dev/posts/why-we-replaced-stateless-ai-in-our-incident-war-room-bnrvzdviq)

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