Memento is a memory-based continual-learning framework designed for LLM agents, enabling them to learn from experiences without updating model weights through a planner-executor architecture and case-based reasoning. It features a comprehensive tool ecosystem for web search, document processing, and more, demonstrating strong benchmark performance across various datasets. Open-source code for parametric and non-parametric case-based reasoning inference has been released, along with tools for local deployment and collaboration.