MemEvolve: Meta-Evolution of Agent Memory Systems

Just came across this and found it to be quite interesting - they propose to evolve the memory architecture per task, which seems like a nice idea since it is so hard to know up front what your agent needs to learn / remember.

It reminds me of GEPA & Textgrad.

Would love to hear if anyone has worked on anything of this sort in practice.