memory-lancedb-pro

memory-lancedb-pro is an enhanced long-term memory plugin for OpenClaw . It replaces the built-in memory-lancedb plugin with advanced retrieval capabilities, multi-scope memory isolation, and a management CLI. Repository : License : MIT | Language : TypeScript (ESM) | Runtime : Node.js via OpenClaw Gateway For detailed deep-dives into each subsystem, read the appropriate reference file: - Retrieval Pipeline (scoring math, RRF fusion, reranking, all scoring stages): See references/retrieval_pipeline.md - Storage & Data Model (LanceDB schema, FTS indexing, CRUD, vector dim): See references/storage_and_schema.md - Embedding System (providers, task-aware API, caching, dimensions): See references/embedding_system.md - Plugin Lifecycle & Config (hooks, registration, config parsing): See references/plugin_lifecycle.md - Scope System (multi-scope isolation, agent access, patterns): See references/scope_system.md - Tools & CLI (agent tools, CLI commands, parameters): See references/tools_and_cli.md - Common Gotchas & Troubleshooting : See references/troubleshooting.md - Check if it's OpenAI-compatible (most are). If so, no code change needed — just config - If the model is not in EMBEDDING_DIMENSIONS map in src/embedder.ts , add it - If the provider needs special request fields beyond task and normalized , extend buildPayload() in src/embedder.ts - Test with embedder.test() method -...