I've spent the last few weeks wrestling with a problem that I suspect many AI builders share: my research assistant agent was smart, but it had the memory of a goldfish and the spending habits of a trust fund kid.
Every time I asked it to help me find research papers on AI/ML topics, it would recommend articles I'd already read. It would suggest the same paper three times in a single conversation. And worse—it was using GPT-4 for every single query, even when a simpler model would have worked fine.
So I built something better. A research assistant that actually remembers what I've read and thinks about how much each query costs before it runs.
Here's how I did it.
The Problem: Amnesia Is Expensive
