Uploaded August 2026 | Updated September 2026, 1 week ago
Check out the resource from Oracle on AI memory: fandf.co/3TQmGax
I built an AI interviewer from scratch that could ask questions, understand answers, and follow up like a real interviewer. But when the same candidate came back for a second interview, it had completely forgotten who they were.
That led to a deeper question: how do you actually give AI agents memory?
In this video, we break down why simply adding more context isn't enough, the difference between short-term and long-term memory, and why AI memory eventually becomes an architecture and database problem.
This video is sponsored by Oracle.
๐ ๐๐ถ๐ป๐ธ๐:
Cohort โ 100xdevs.com
Twitter โ twitter.com/kirat_tw
Linkedin โ linkedin.com/in/kirat-li
Instagram โ instagram.com/kirat_ins
Discord โ discord.com/invite/WAaXacK9bh
Telegram โ https://t.me/kirat_internal_group
WhatsApp โ whatsapp.com/channel/0029Va98SYeHrDZhfxCT6s0a
Check out the resource from Oracle on AI memory: fandf.co/3TQmGax
I built an AI interviewer from scratch that could ask questions, understand answers, and follow up like a real interviewer. But when the same candidate came back for a second interview, it had completely forgotten who they were.
That led to a deeper question: how do you actually give AI agents memory?
In this video, we break down why simply adding more context isn't enough, the difference between short-term and long-term memory, and why AI memory eventually becomes an architecture and database problem.
This video is sponsored by Oracle.
๐ ๐๐ถ๐ป๐ธ๐:
Cohort โ 100xdevs.com
Twitter โ twitter.com/kirat_tw
Linkedin โ linkedin.com/in/kirat-li
Instagram โ instagram.com/kirat_ins
Discord โ discord.com/invite/WAaXacK9bh
Telegram โ https://t.me/kirat_internal_group
WhatsApp โ whatsapp.com/channel/0029Va98SYeHrDZhfxCT6s0a










