Building Long-Term Memory for AI Agents: Elasticsearch Achieves 89% Recall

AI agents currently lose user context between sessions because context windows function only as short-term reasoning spaces. This Elasticsearch-based persistent memory system solves this critical limitation by maintaining interaction history, facts, and playbooks across sessions while achieving 89% recall accuracy and preventing cross-tenant leaks. This advancement could fundamentally transform agent reliability and user experience across customer support, smart home, and enterprise applications.