How We Give AI Agents Long-Term Memory Without Blowing the Budget

Published: 3 days ago (February 9, 2026 at 05:09 AM EST)

1 min read

Source: Dev.to

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.

Original article on Metaduck

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