Users of Claude AI often face challenges with context retention, but solutions are available to improve its memory capabilities. Three layers of strategies can be employed based on user needs. The first layer involves basic fixes that can be implemented in just five minutes. Users should clean out outdated or irrelevant memory in the settings and ensure project instructions are filled in for each project. Directly instructing Claude during conversations to remember or update specific information can resolve most memory issues. For a more structured approach, the second layer suggests setting up a "Claude Master Folder" on your desktop. This folder should contain markdown files for instructions, memory updates, project-specific context, and an archive for weekly backups. This setup allows Claude to automatically read and update context during sessions. The third layer, an advanced setup, involves using Obsidian to create a vault where Claude can access a comprehensive knowledge base. By integrating Andrej Karpathy's LLM Knowledge Base system prompt, users can feed Claude with notes and data, enabling it to build a self-evolving wiki of user information.