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Building a Context Pruning Pipeline for Long-Running Agents

ML Mastery Iván Palomares Carrascosa May 28, 2026
Building a Context Pruning Pipeline for Long-Running Agents
AI Summary— plain English for professionals

# AI Agents Need Memory Management to Keep Working Well As AI assistants run longer and longer, they accumulate so much conversation history that they get slower and less accurate—similar to how your brain struggles when you try to remember everything from a long meeting. Engineers are building systems that automatically forget less important details so the AI can stay sharp and responsive without getting bogged down by old information. This matters because it's the difference between an AI assistant that's helpful throughout a full workday versus one that gets sluggish and starts making mistakes as the day goes on.

Modern AI agents built on top of large language models (LLMs) are designed to run continuously.

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