Deep dives on building smarter AI products — architecture, patterns, and lessons from the field.
Every AI conversation starts from zero. No memory of past interactions, preferences, or context. Here's why that breaks products and how persistent memory changes everything.
Nilesh Verma
Apr 28, 2026
Not all memories are equal. Understanding the three types of AI memory helps you build systems that store the right information and retrieve it at the right time.
The secret behind semantic memory retrieval — why vector similarity search is the right tool for finding relevant memories, and what it means for your AI architecture.
Context windows are getting bigger, but they'll never replace true persistent memory. Here's why the distinction matters and when to use each approach.
How to safely give every user in your SaaS app their own private memory — with a single API key and the external_user_id pattern.
Memory means storing personal data. Here's how to implement the right-to-erasure, data minimization, and privacy-by-design principles in your AI memory system.
Step-by-step guide to building a support chatbot that knows each customer's history, preferences, and past issues — without starting from scratch every time.
Autonomous AI agents need to learn from experience and maintain state across tasks. Persistent memory is what separates truly useful agents from stateless script runners.
RAG and memory retrieval look similar on the surface but serve fundamentally different purposes. Understanding when to use each leads to much better AI products.