The persistent identity files are interesting but there's a cost
problem. A recent paper (arxiv 2602.11988 https://arxiv.org/html/2602.11988v1) found context files
increase inference cost by 20%+ with marginal performance gains;
LLM-generated ones actually decreased success rates slightly.
Four identity files per agent injected every session feels like
monkey patching coherence with context. Context isn't memory, it's
just more tokens. The hard unsolved problem is cross-session
learning without the bloat.
Curious if you've measured the token overhead of the identity
files vs the performance gain they provide.
Four identity files per agent injected every session feels like monkey patching coherence with context. Context isn't memory, it's just more tokens. The hard unsolved problem is cross-session learning without the bloat.
Curious if you've measured the token overhead of the identity files vs the performance gain they provide.