What memory you're using with your Openclaw?

I've been looking into long-term memory for agents and recently built a custom memory plugin for Hermes using Engram. Instead of treating memory as an append-only store, it reconciles new information with existing memories, Engram updates facts when they change, removes duplicates, and keeps the memory graph relatively clean over time. That seems more practical than continuously accumulating stale or redundant memories. I'm considering building a similar memory provider for OpenClaw, but before doing that I'd like to understand what the community is using today. Are you using the default memory implementation or a custom plugin? If you've integrated another memory system, have you run into issues with stale memories, duplication, retrieval quality, or memory growth over longer conversations?