[WEBINAR] Codifying Tribal Knowledge - How to Build Long Term Memory for AI SRE Agents

In this technical webinar, Komodor’s engineering team unveils Agent Memory – the long-term operational memory behind our AI SRE agents. We’ll go deep into how it works: why we modeled it on human memory research (episodic vs. semantic, consolidation, reinforcement, decay), why off-the-shelf memory frameworks like Mem0 and Graphiti fell short for SRE workloads, and how we built a fast, purpose-built alternative on PostgreSQL and pgvector – one table, three search indexes, and a hybrid retrieval engine that fuses exact, lexical, and semantic search into a single ranked answer.

We’ll share real production data from three months of live operation – nearly 200K memories across hundreds of accounts and 1,800+ clusters, 260K+ retrievals into live investigations – and walk through real investigation patterns where Klaudia turned a multi-step derivation into a one-line recall.