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How to Build Memory That Survives AI Sessions
Episode 4316
Published 4 weeks, 1 day ago
Description
When you're deep in multi-session technical investigation, AI agents lose context every time you close the chat. This episode unpacks why default memory systems fail and how to build external memory that survives session boundaries using markdown files in a private repo. We explore system prompt patterns that actually work, the difference between reactive and proactive documentation, and whether tools like Obsidian add real value over raw markdown. If you've ever lost hours of agent context between sessions, this is your fix.