Memori

Memori is an LLM-agnostic memory layer that turns agent execution and conversation into structured, persistent state for production systems. It automatically captures each chat turn and classifies it into facts, preferences, rules, and summaries, then recalls only the relevant context across conversations and documents. Enterprises use Memori to cut LLM spend with tokenless recall, keep data in their own database unless they enable Memori Cloud, and get explainable results with lineage for every retrieval. The platform also offers role-based access control, retention policies, and audit observability for production AI agents.