

Free Lesson
Agent Memory with Turbopuffer
60 min
Oct 29, 2026 1:00 PM
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What you'll learn
Coding agent context from historical traces
How to make memory that makes every session feel like one seamless session remembering past interactions
Get to know Turbopuffer
Indexing and searching your historical traces is a great way to get to know a new search engine
Stark differences between agentic and traditional RAG
We can't always trust agents to seek out what they don't know. Traditional RAG still matters.
Why this topic matters
We want to start an AI session and pick up where we left off. With products like OpenAI's Dots or personal agents like Hermes / OpenClaw, retrieving past context automatically helps us avoid endless re-explaining and documenting. Can we build a search system that remembers our preferences, how we like to work, and our priorities? We'll explore how anyone can build agentic memory for their own coding agent with Turbopuffer.






