Designing incident-memory for AI agents: context, not source of truth
Action_Kamen-0 · reddit · 2026-09-29
A developer building an incident-response agent with historical incident memory shares a key design lesson: memory retrieval should be context, not a hard dependency. The system distinguishes successful retrieval, no relevant memories, and service unavailable, letting reasoning continue on current-incident info alone. Anti-hallucination safeguard: model citations are validated against IDs actually returned by retrieval — the model can't invent memory IDs. For retention, structured postmortems (root cause, failed attempts, resolution, lessons) beat raw logs. Guiding principle: a past incident tells you what happened before, not that the same thing is happening now.
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