memory-lancedb-pro

SKILL.md

LanceDB-backed long-term memory system with hybrid retrieval, reranking, multi-scope isolation, and management CLI.

Hybrid retrieval pipeline combining vector search, BM25 full-text search, reciprocal rank fusion, cross-encoder reranking, and adaptive scoring stages (recency, importance, length normalization, time decay, noise filtering, MMR)

Multi-scope memory isolation for access control, auto-capture with category detection (preference/fact/decision/entity), and optional auto-recall injection into agent context

OpenAI-compatible embedding abstraction with task-aware requests, LRU caching, and support for multiple embedding providers; reranking via Cohere or Jina

CLI commands for memory management: list, search, stats, delete, bulk operations, export/import, reembedding, and migration from legacy memory-lancedb

Agent tools for recall, store, forget, update, and stats; noise filtering for low-quality content; JSONL session distillation pipeline for data preprocessing

memory-lancedb-pro Plugin Maintenance Guide

Overview

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: https://github.com/win4r/memory-lancedb-pro
License: MIT | Language: TypeScript (ESM) | Runtime: Node.js via OpenClaw Gateway

Architecture