Memory Management for AI Agents (The Agents Season, Episode 4)

About this episode

This episode explores memory management for AI agents, focusing on how to design systems that retain important information within limited context windows.

Context windows are powerful — but finite, and surprisingly easy to overwhelm. When an AI agent is tackling a long, complex task, the information it needs has to fit inside that limited real estate, and research shows that anything buried in the middle tends to quietly disappear. So how do you design a system that actually *remembers* what matters? This episode digs into memory management for AI agents, from foundational computing concepts to practical lessons from tools like Claude Code. --- Website: https://lineardigressions.com Apple Podcasts: https://podcasts.apple.com/us/podcast/linear-digressions/id941219323 Spotify: https://open.spotify.com/show/1JdkD0ZoZ52KjwdR0b1WoT Substack: https://substack.com/@lineardigressions

People in this episode

Host: Katie Malone

Topics covered

• memory management
• AI agents
• context windows
• computing concepts
• task management

Keywords

• AI
• memory management
• context windows
• information retention
• computing

Mentioned in this episode

Organizations: Claude Code

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• Agentic Planning (The Agents Season, Episode 5) · May 18, 2026 · 24 min
• Lost in the Middle (The Agents Season, Episode 3) · May 4, 2026 · 20 min
• ReAct and Tool Usage (The Agents Season, Episode 2) · April 27, 2026 · 24 min