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Sub-agents: splitting context across specialized AI agents

Learn how sub-agents solve context window limits, why coordination fails without shared memory, and how Redis keeps multi-agent systems coherent at scale.

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Sub-agents: splitting context across specialized AI agents

Learn how sub-agents solve context window limits, why coordination fails without shared memory, and how Redis keeps multi-agent systems coherent at scale.

originale

dev.to4 g fa

Want AI to work in parallel? First give each one its own workspace

A while back I wrote about parallelism—taking one big task, splitting it, and fanning it out to...

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mercoledì 24 giugno 2026·dev.to
Want AI to work in parallel? First give each one its own workspace
A while back I wrote about parallelism—taking one big task, splitting it, and fanning it out to...
mercoledì 24 giugno 2026·machinelearningmastery.com
Context Windows Are Not Memory: What AI Agent Developers Need to Understand - MachineLearningMastery.com
In this article, you will learn why a large context window is not the same thing as agent memory, and how techniques like retrieval, compression, and summarization fit together in…

Sub-agents: splitting context across specialized AI agents

Want AI to work in parallel? First give each one its own workspace

Timeline cronologica

Want AI to work in parallel? First give each one its own workspace

Context Windows Are Not Memory: What AI Agent Developers Need to Understand - MachineLearningMastery.com

Context Windows Are Not Memory: What AI Agent Developers Need to Understand - MachineLearningMastery.com

Sub-agents: splitting context across specialized AI agents