Giving agents long-term memory is hard: context windows are limited, storing every raw message is expensive, and retrieval has to be both fast and relevant. We solved this with a time-stratified design: organize memory by temporal grain, summarize progressively, and pair it with a graph-based knowledge base for structured facts.
Read more: https://metaduck.com/how-we-give-ai-agents-long-term-memory-without-blowing-the-budget/
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