This is an interesting approach particularly the idea of using persistent memory to avoid repeatedly passing entire conversation histories into the model. I think the biggest challenge will be deciding what information is worth storing and retrieving since poor memory selection could introduce irrelevant or outdated context.
The combination of a smaller conversational model with specialized agents also seems practical. It could potentially provide a good balance between response quality, latency and computational cost. The comparison between external multi agent systems and internal reasoning is especially interesting I would be curious to see how both perform on the same benchmarks.