the context isolation approach is smart — cascading drift between agents is a real problem. i run 10 microservices with claude code and solved a similar issue by maintaining curated reference docs that agents read on-demand per task area instead of loading everything. the model escalation on failure (haiku → sonnet) is a nice touch too. do you find the lancedb memory layer actually helps with repeated similar tasks, or is it more useful for the code knowledge graph side?