Build a LanceDB Memory Plugin for OpenClaw

16 minute read You spend forty minutes configuring your OpenClaw agent. Database credentials, code style preferences, deployment quirks — you walk it through everything. Next session: blank slate. The agent has no idea you prefer bun over npm, that your staging server requires a VPN, or that auth/middleware.ts broke three times last week because of a race condition. OpenClaw's built-in memory system tries to fix this, but its Markdown-file approach has fundamental gaps. The agent decides what to save. The agent decides when to search. And context compaction can silently destroy the memories it did store. This is the problem that memory-lancedb-pro attacks head-on — a community-built plugin that replaces OpenClaw's memory subsystem with a 7-layer hybrid retrieval pipeline, multi-scope isolation, and automatic noise filtering. I've been running it for weeks. Here's how it works, why it's engineered the way it is, and how to build one yourself. Why the Built-In Memory System Leaks OpenCla