LLM Memory vs Context Window: The Gap Nobody Explains

LLM Memory vs Context Window: The Gap Nobody Explains — by Misar.AI Editorial on Misar.Blog. From the article "LLM Memory vs Context Window: The Gap Nobody Explains" by Misar.AI Editorial, published on Misar.Blog. In this episode: 0:00 Introduction 0:12 Conflating the Context Window with Memory Leads to Excessive Costs 1:21 The Context Window Is a Capacity Limit 2:07 The Context Window Incurs Linear or Quadratic Costs in Money and Latency 2:58 LLMS Are Completely Stateless Across Calls and Possess No Inherent Memory 3:44 Working Memory Is the Current Turn's Context and Requires Active Curation 4:32 Episodic Memory Stores Past Transcripts and Should Be Kept 5:24 Semantic Memory Provides Durable Knowledge via a Vector-Database Layer 6:10 Summary Memory Compresses Long Histories to Reduce Token Costs 7:23 A Tiered Memory Design Prioritizes Different Categories Within This episode is narrated by an AI voice from a written article. Links from this episode: Hands-On Large Language Models on Amazon As an Amazon Associate, Misar.Blog earns from qualifying purchases. More episodes: GDPR Email Marketing: A Practical Compliance Guide for 2026 Self-Hosted AI Stack Under $500/Month: Complete Setup Guide Introduction to Article Writing Related reads: How to Send Bulk Email Free in 2026: From MailerLite's Free Tier to $25/Month Self-Hosted GDPR vs India's DPDP Act: Email Marketing Compliance Guide 2026 🔔 Subscribe to every episode Read the article: https://www.misar.blog/@misar-editorial/articles/llm-memory-vs-context-window-the-gap-nobody-explains. Read the articles by this Author: https://www.misar.blog/@misar-editorial. Generated using: https://www.misar.ai (Misar.AI).