Really enjoyed this deep diveāespecially point #4 around memory.
One thing Iāve seen trip up a lot of teams is assuming āLLMs with longer context windows = solved memory.ā But real product-grade memory usually needs more than recallāit needs scope (per user/project/session), persistence (across sessions), and control (TTL, deletion, audit).
Weāve been working on this exact problem with Recallio: a scoped memory API you can drop into any AI app without building custom vector infra or brittle RAG pipelines. Itās early but proving useful for teams who want their app to ārememberā without overengineering.
Would love to jam more on the difference between memory as UX glue vs memory as pure retrieval infraāfeels like that line is getting blurrier every month.
What a simplification!!
Great post, thank you for sharing! I appreciate you including the ethical aspects! š
I'm glad you find this useful Karo š
Really enjoyed this deep diveāespecially point #4 around memory.
One thing Iāve seen trip up a lot of teams is assuming āLLMs with longer context windows = solved memory.ā But real product-grade memory usually needs more than recallāit needs scope (per user/project/session), persistence (across sessions), and control (TTL, deletion, audit).
Weāve been working on this exact problem with Recallio: a scoped memory API you can drop into any AI app without building custom vector infra or brittle RAG pipelines. Itās early but proving useful for teams who want their app to ārememberā without overengineering.
Would love to jam more on the difference between memory as UX glue vs memory as pure retrieval infraāfeels like that line is getting blurrier every month.
Great Post!
important post
Amazing post!! i will surely try to make one
Excellent post!šš½
Very useful