Elastic (@elastic) “0.89 recall at k=10 and zero cross-tenant leaks on a persistent agent memory lay” — TopicDigg

0.89 recall at k=10 and zero cross-tenant leaks on a persistent agent memory layer. Built on Elasticsearch with 3 indices mapped to cognitive science: episodic events, semantic facts, procedural playbooks. Each has its own write rate, aging rules, and update logic. Episodic decays. Semantic gets superseded when a user contradicts it (the old fact stays for audit, a filter hides it from recall). Procedural tracks success and failure counts across conversations. Recall is one hybrid query: BM25 + Jina v5 dense fused with RRF, then a cross-encoder reranker on the merged candidates. Time decay and use-count scoring keep fresh, frequently-recalled facts on top. DLS scopes every query to the user's API key. The cluster won't return another user's documents regardless of what the agent asks for. Open source, with an MCP endpoint for any agent runtime.