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AI Education | AI Agent Memory System [Workshop]
Build AI agents that actually remember and improve over time 🧠
Most AI agents struggle with inconsistent behavior, hallucinations, and limited memory. This makes them unreliable and impossible to personalize at scale.
In this 90-minute hands-on session, Chris Latimer (CEO & Co-founder, Vectorize) breaks down how to design agents that retain context across interactions, learn from what they've seen, and deliver outputs that get sharper over time.
What You’ll Learn
Why memory is critical for building reliable AI agents
Different types of agent memory and how to implement them
How to store and retrieve user-specific context effectively
How agents can learn and improve over time through memory
Techniques to reduce token usage while improving performance
Why This Topic Matters
As AI agents become more embedded into products and workflows, memory is what separates simple tools from intelligent systems. Agents that can remember and adapt unlock better user experiences, stronger performance, and more scalable applications.
Speaker:
Chris Latimer - Co-Founder of Vectorize, maker of Hindsight--the world's most accurate AI memory.
Event Details:
📅 Friday, March 27th
⏰ Time: 8 AM PST / 11 AM EST
🚀 Live on Roam
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