Use case / Open Source AI Memory Database

DevOps Incident Agent Memory

Incident and operations agents need to remember deployment constraints, known failure modes, runbook decisions, and postmortem outcomes across recurring incidents.

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The problem this solves

Operational context is often scattered across logs, chat, postmortems, dashboards, and runbooks. Agents need compact recall without dragging every artifact into a prompt.

How Memorose handles it

Memorose can ingest incident streams and retrieve durable operational memory through hybrid search, graph context, and time-aware filters.

runtime example

curl -X POST "$BASE_URL/v1/users/oncall/streams/incident-2026-04-29/events" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "agent_id": "incident-agent",
    "content": "Rollback is safe only after queue drain reaches zero."
  }'