Memori is agent-native memory infrastructure: an LLM-agnostic layer that turns agent execution and conversation into structured, persistent state built for enterprise production systems. Memori is not just a conversational memory wrapper or vector retrieval layer. It structures memory directly from agent execution and trace data, turning tool calls, decisions, and workflow history into persistent state. This is particularly important in production systems, where natural language alone does not capture the full context required for reliable multi-step execution.