Memori is a long term memory infrastructure for AI agents that automatically converts execution traces into structured, reusable knowledge. It captures decisions, workflow steps, tool outputs, execution paths, and outcomes, enabling agents to learn from past actions without relying on massive context windows. Compatible with leading AI frameworks, Memori improves response accuracy, reduces inference costs, and helps developers build more scalable and efficient AI applications.