Memory Lancedb Pro Openclaw

This gives your OpenClaw agents persistent memory across sessions using LanceDB as the backing store. Instead of forgetting everything between chats, the agent auto-captures preferences, decisions, and context, then recalls relevant bits before each reply. The hybrid retrieval (vector + BM25) plus cross-encoder reranking means you get better matches than pure embedding similarity. Ships with a one-click setup script that handles migrations and provider presets (Jina, OpenAI, Ollama), plus a full CLI for inspecting, exporting, and pruning memories. Weibull decay forgetting is a nice touch. The multi-scope isolation (agent, user, project) makes sense if you're running multiple agents or want to partition memory by context.