memory-lancedb-pro

Configure memory-lancedb-pro MCP plugin for OpenClaw with lifecycle management.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/Qiue-G/Claw-X --skill memory-lancedb-pro-qiue-g
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory-lancedb-pro
Source: https://github.com/Qiue-G/Claw-X/tree/main/.openclaw/skills/memory-lancedb-pro
Command: npx skills add https://github.com/Qiue-G/Claw-X --skill memory-lancedb-pro-qiue-g

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The memory-lancedb-pro skill provides comprehensive guidance and configuration for integrating the memory-lancedb-pro plugin with OpenClaw, enabling reliable long-term memory and advanced retrieval workflows.

Core Features & Use Cases

  • Step-by-step installation, configuration, and runtime usage for memory-lancedb-pro
  • Support for Smart Extraction, hybrid retrieval, Weibull decay lifecycle, and multi-scope isolation
  • Real-world scenarios including deployment planning, memory governance, and tooling for MCP memory operations (memory_recall, memory_store, memory_update, memory_stats, memory_list, self-improvement)

Quick Start

To begin, say "help me enable the best memory config" and follow the prompts to select a deployment plan, provide API keys, and apply the optimal memory-lancedb-pro configuration.

Frequently Asked Questions about memory-lancedb-pro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure long-term memory for OpenClaw?

Configuring long-term memory for OpenClaw involves installing memory-lancedb-pro, a production-grade MCP plugin. It guides you through selecting a deployment plan, providing API keys, and applying optimal settings for memory lifecycle management.

What is Weibull decay in memory lifecycle management?

Weibull decay in memory lifecycle management is a feature of memory-lancedb-pro that automatically manages memory retention. It governs how stored memories degrade over time, ensuring robust memory governance alongside memory_update and memory_forget operations.

Can I isolate memory scopes for different tasks using MCP tools?

Yes, memory-lancedb-pro supports multi-scope isolation for MCP tools. This allows you to separate memory_recall, memory_store, and memory_update operations across different contexts, ensuring reliable long-term memory and advanced retrieval workflows.

How do I set up hybrid retrieval and smart extraction for MCP memory?

Setting up hybrid retrieval and smart extraction involves configuring the memory-lancedb-pro plugin with OpenClaw. The skill provides workflows for embedding and LLM integration, enabling advanced memory operations like memory_stats and memory_list.

Does memory-lancedb-pro support production-grade memory governance?

Yes, memory-lancedb-pro is designed for production-grade memory governance. It supports strict configuration requirements, multi-scope isolation, and a Weibull decay lifecycle to manage memory_recall, memory_store, and memory_forget operations reliably.