Claude Skill
CortexReach/memory-lancedb-pro-skill
A production-grade long-term memory plugin for OpenClaw, built as a Claude Code skill using LanceDB for scalable, persistent memory in AI agent workflows.
Overview
Repository
Install this Skill
git clone https://github.com/CortexReach/memory-lancedb-pro-skill.git ~/.claude/skills/memory-lancedb-proRegistry
git clone https://github.com/CortexReach/memory-lancedb-pro-skill.git ~/.claude/skills/memory-lancedb-progit clone https://github.com/CortexReach/memory-lancedb-pro-skill.git ~/.openclaw/workspace/skills/memory-lancedb-pro-skill
Summary
A production-grade long-term memory plugin for OpenClaw, designed as a Claude Code skill that leverages LanceDB for persistent, scalable memory management in AI agent workflows.
Claude Code 技能:memory-lancedb-pro — 面向 OpenClaw 的生产级长期记忆插件
Key features
- Production-grade long-term memory for OpenClaw
- Built on LanceDB for efficient vector storage and retrieval
- Seamless integration with Claude Code as a skill
- Scalable memory management for AI agent sessions
Use cases
- Persistent memory across Claude Code sessions
- Context-aware AI agent conversations
- Long-running automation tasks requiring memory recall
- Building knowledge-rich AI assistants with OpenClaw
README excerpt
# memory-lancedb-pro — OpenClaw Memory Skill > **Claude Code Skill** for [memory-lancedb-pro](https://github.com/CortexReach/memory-lancedb-pro) — production-grade long-term memory plugin for OpenClaw AI agents. This skill gives Claude Code deep, accurate knowledge of every feature in `memory-lancedb-pro` (v1.1.0-beta.8): installation, optimal configuration, Smart Extraction, hybrid retrieval, Weibull decay lifecycle, multi-scope isolation, self-improvement governance, and all MCP tools. --- ## What this skill does When installed, Claude Code can: - **Guide you through a 7-step optimal configuration workflow** — just say _"help me enable the best config"_ - **Present 4 deployment plans** (Full Power / Budget / Simple / Fully Local) with provider links and tradeoffs - **Install, configure, and verify** the plugin using `openclaw plugins install` or git clone - **Set up Ollama** for fully local, zero-API-cost deployment - **Configure every feature**: Smart Extraction, hybrid retrieval, reranking, multi-scope, Weibull decay, session memory, self-improvement governance - **Use all 9 MCP tools** correctly: `memory_recall`, `memory_store`, `memory_forget`, `memory_update`, `memory_stats`, `memory_list`, `self_improvement_log`, `self_improvement_extract_skill`, `self_improvement_review` - **Avoid common pitfalls** — workspace plugin enablement, `autoRecall` default-false, jiti cache, env vars, scope isolation, etc. --- ## Installation ### Prerequisites **For Claude Code users:** - [Claude Code](https://claude.ai/code) CLI installed - [memory-lancedb-pro](https://github.com/CortexReach/memory-lancedb-pro) plugin configured as an MCP server **For OpenClaw users:** - [OpenClaw](https://openclaw.ai) gateway running - `memory-lancedb-pro` plugin installed via `openclaw p
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