@hwchase17: memory has been a hot topic for the past ~2 years every time we bring it up or do anything there, gets ton of interest,…
Summary
A tweet discusses challenges in AI memory integration, such as application specificity and limited utility in general-purpose agents, despite ongoing interest.
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Cached at: 09/15/26, 11:52 PM
memory has been a hot topic for the past ~2 years
every time we bring it up or do anything there, gets ton of interest, but nothing sticks
few takes on why below:
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how to update and then use memory needs to be pretty tightly integrated with the harness. so its hard to build a standalone memory product
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the hardest part of memory is the logic of deciding what to remember. storing and even querying memory is not necessarily hard. the logic of deciding what to remember is often (a) application specific, (b) just prompting, which makes it hard to productize
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memory is not that useful in a general purpose agent, but more for when you are doing repeated tasks. more high usage ai agent are not just doing the same task repeatedly
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memory hasnt really proven to be useful for coding agents, and most agent things that take off happen first in coding agents
David Cramer (@zeeg): I continue to believe memory is the most interesting and under invested space right now
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