RecallOps Pairs PostgreSQL With Long-Term Agent Memory to Improve Incident Response

Engineers often write detailed postmortems that go unread, so similar outages later lead to repeated failed fixes. The author's team built RecallOps, an operational intelligence layer for the Kartly e-commerce platform, to remember past incidents including alerts, recent deployments, attempted fixes, and what restored service. Their design combines a PostgreSQL store for structured operational state with Hindsight, a long-term memory engine that organizes distilled postmortems into memory banks with temporal and entity reasoning. The team argues that naive retrieval-augmented generation over raw logs performs poorly, because redundant log lines obscure causal signals, plain embeddings cannot tell successful fixes from harmful ones, and vector search loses incident chronology.