Agent Memory Overview AI agents forget everything between sessions. This skill builds persistent memory systems — from simple file-based approaches to full vector-search architectures — so agents retain context, learn from past interactions, and make better decisions over time. When to Use - User wants the agent to remember decisions, preferences, or project context - Building a coding assistant that needs to recall past conversations - Creating a knowledge base the agent can query semantically - Agent needs to learn from mistakes and not repeat them - Implementing memory consolidation (daily…