Keeping AI Agent Memory Accurate?
I've been trying to use Hermes for work lately (they sure don’t make things easy for enterprise users…).
Hermes+Hindsight+LLM Wiki on Opus 5 (high) primarily for knowledge work.
The biggest issue is that the agent often makes mistakes which propagate in longer sessions—and while it’s easy enough to steer the session back on track, Hindsight, the markdown wiki, memory.md, and skills end up internalizing a lot of bad information that poisons future sessions.
This is correctable with directly prompted retros and memory audits, but it burns a ton of time and tokens.
Does anyone have workflow solutions for issues like this? Or do I just need to accept this as the state of things for the moment?