12. Claude Co-work Memory & Context: Build Evolving AI Workflows
Key Takeaways
Builds evolving AI workflows using Claude Co-work Memory and Context
Original Description
Real work doesn’t happen in a vacuum—it builds on past results. In this video, we explore the "Memory" layer of Claude Co-work, showing you how to move from one-off tasks to continuous, intelligent systems that remember your preferences and progress.
We dive deep into how Claude manages information over time, ensuring that your AI assistant gets smarter with every interaction.
What you’ll learn in this session:
- Session vs. Persistent Memory: The difference between short-term task context and long-term project memory.
- The Technical Backend: How Claude uses the claude.md file and MCP-based retrieval to stay efficient without "cluttering" its working memory.
- Building an Adaptive System: A live hands-on demo where we build an AI Learning System for Machine Learning. Watch as Claude:
1. Creates a persistent learner profile.
2. Builds new lessons based on what was covered previously.
3. Evaluates performance with a quiz.
4. Automatically adjusts the difficulty level and generates a revision sheet based on cumulative history.
- Memory Management: How to keep your context clean, handle conflicting preferences, and remove outdated information.
Stop starting from scratch every morning. Learn how to use Claude Co-work to build a workflow that evolves with you.
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