In a new tutorial from Analytics Vidhya, developers and AI enthusiasts learn how to move beyond single-session interactions with Claude and build evolving, persistent workflows. The video, titled "Claude Co-work Memory & Context: Build Evolving AI Workflows," dives into the memory layer of Anthropic's Claude AI assistant, showing how it can retain context and preferences across sessions.
The guide explains the difference between session memory (short-term task context) and persistent memory (long-term project knowledge). It also covers the technical backend, including the claude.md file and MCP-based retrieval, which keep the system efficient without cluttering working memory.
A hands-on demo walks through building an adaptive AI learning system for machine learning. The system creates a persistent learner profile, builds new lessons based on prior coverage, evaluates performance with quizzes, and automatically adjusts difficulty levels — all using cumulative history.
The tutorial also addresses memory management: keeping context clean, handling conflicting preferences, and removing outdated information. The goal is to help users stop starting from scratch every day and instead leverage Claude's memory for continuous, intelligent workflows.
"Real work doesn’t happen in a vacuum — it builds on past results."
For more details, watch the full video on Analytics Vidhya's YouTube channel.