I’ve been experimenting with AI assistants and their “memory” features, but I’m finding them opaque and unreliable.
Instead, I’ve switched to keep important context in .md files that I explicitly reference when I need or when I have to recall them. This gives me:
Full visibility into what’s in context
No mystery recalls from weeks ago
Easier debugging when behavior drifts
Predictable token usage
The downside is manual maintenance, but it feels more reliable than hoping the system remembered correctly.
Do you use built-in memory features? Or do you manage context explicitly through files/RAG/other methods? What’s working for you?