Free Lesson
Learn To Build An AI Agent Memory System
30 min
Jul 23, 2026 1:30 PM
Virtual (Zoom)
In this video
What you'll learn
Tell working memory apart from persistent memory
Learn why chat history disappears after a session unless you save it to a database yourself.
Write procedural memory rules with a SKILL.md file
Learn to encode behavior rules, like how to handle an angry customer, in a simple markdown file.
Store durable facts in semantic memory
Learn to save user profiles and company facts in a vector database so agents remember who you are.
Use RAG and top-K search to control token cost
Learn to retrieve only the most relevant facts instead of feeding an entire database into the LLM.
Build a consolidation gate with a summarizer agent
Learn to distill old conversations into semantic facts on a schedule instead of searching everything.
Why this topic matters
Memory is not automatic, so every session is wiped unless the system explicitly saves it. Understanding the four memory layers, working, procedural, semantic, and episodic, along with the consolidation process, is what separates a functional AI agent from one that repeats itself or becomes too slow and costly to run at scale.
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