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 f…

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: - 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 - 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 - 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 - memory hasnt really proven to be useful for coding agents, and most agent things that take off happen first in coding agents I continue to believe memory is the most interesting and under invested space right now

@hwchase17 @sarahwooders like a the old children's school flipbook - each one wakes up, takes in the context(memory) via harness does its th…
a lot of agent memory follows a simple three step process: - run agent - run some process to look at those traces and analyze them - update …
memory lock-in doesn't kick in when you adopt the harness. it kicks in 6 months later when leaving means starting over from zero. by then th…
Memory makes your agent smarter over time. The agent harness is key to the memory layer. You can't bolt one onto the other after the fact. E…
Isn’t just what to remember, but when to update it: in the loop or after the fact. A must read by @hwchase17!

Source: Harrison Chase (X) | 2026-09-15

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