memory-lancedb-pro — Codex Skill by CortexReach

by CortexReach · Codex Skill · ★ 4.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About memory-lancedb-pro

🧠 memory-lancedb-pro · 🦞OpenClaw Plugin The production-grade long-term memory plugin for OpenClaw Give your AI agent a brain that actually remembers — across sessions, across agents, across time. English | 简体中文 ✨ Why memory-lancedb-pro? Most AI agents have amnesia. They forget everything the moment you start a new chat. This plugin fixes that. It gives your OpenClaw agent persistent, intelligent long-term memory — without you managing any of it. | 🛠️ Full Op

lancedbmemoryopenclawopenclaw-agentopenclaw-pluginrag

Quick Facts

Stars4,329
Forks722
LanguageJavaScript
CategoryCodex Skill
Quality Score50.992/100
Open Issues135
Last Updated2026-05-12
Created2026-02-24
Platformscli, node
Est. Tokens~173k

memory-lancedb-pro alternative? Top 6 similar tools

Looking for a memory-lancedb-pro alternative? If you're comparing memory-lancedb-pro with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is memory-lancedb-pro?

memory-lancedb-pro is Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI. It is categorized as a Codex Skill with 4.3k GitHub stars.

What programming language is memory-lancedb-pro written in?

memory-lancedb-pro is primarily written in JavaScript. It covers topics such as lancedb, memory, openclaw.

How do I install or use memory-lancedb-pro?

You can find installation instructions and usage details in the memory-lancedb-pro GitHub repository at github.com/CortexReach/memory-lancedb-pro. The project has 4.3k stars and 722 forks, indicating an active community.

What are the best alternatives to memory-lancedb-pro?

The top alternatives to memory-lancedb-pro on Agent Skills Hub include memory-lancedb-pro, deeplake, MemOS. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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