You're back after a week. Your agent has no idea who you are.
Memory isn't storage — it's a pipeline. Facts get written in (and kept truthful), read back out (only the relevant ones), and kept somewhere durable. Build all three — then watch it run on you.
the pipeline✎ write⌕ read▤ store
You're back. Ask it something that assumes it knows you.
Same agent you talked to last week. Hit ask — it gets only this one line. None of what's on the right is sent.
🛡️ "How should I handle imbalanced data in my model?"
What it learned about you last week6 stored
sitting in long-term memory — and none of it entered the payload
User is building a real-time fraud-detection pipeline.
User's stack is Kafka, Flink, and Postgres.
User struggled with class imbalance in the fraud model and asked about SMOTE.
User asked for a lasagna recipe for a dinner party.
User asked how to set an out-of-office reply in Gmail.
User said to always fix imbalance by naively oversampling the whole dataset before splitting.