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 In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge units. We design the system so that reasoning and memory management are clearly separated, allowing a dedicated component to extract, compress, and organize information. At the same time,
The post How to Build a Self-Organizing Agent Memory System for Long-Term AI Reasoning  appeared first on MarkTechPost. Read More  

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