Memory Lancedb Pro Openclaw

This gives your OpenClaw agents persistent memory across sessions using LanceDB as the backing store. Instead of forgetting everything between chats, the agent auto-captures preferences, decisions, and context, then recalls relevant bits before each reply. The hybrid retrieval (vector + BM25) plus cross-encoder reranking means you get better matches than pure embedding similarity. Ships with a one-click setup script that handles migrations and provider presets (Jina, OpenAI, Ollama), plus a full CLI for inspecting, exporting, and pruning memories. Weibull decay forgetting is a nice touch. The multi-scope isolation (agent, user, project) makes sense if you're running multiple agents or want to partition memory by context.

skills.sh installs: 1.3K
GitHub stars: 61
last updated: Jul 14, 2026

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Install

$ npx -y skills add aradotso/trending-skills --skill memory-lancedb-pro-openclaw --agent claude-code

Installs into .claude/skills of the current project.

Files

memory-lancedb-pro OpenClaw Plugin

Skill by ara.so — Daily 2026 Skills collection.

memory-lancedb-pro is a production-grade long-term memory plugin for OpenClaw agents. It stores preferences, decisions, and project context in a local LanceDB vector database and automatically recalls relevant memories before each agent reply. Key features: hybrid retrieval (vector + BM25 full-text), cross-encoder reranking, LLM-powered smart extraction (6 categories), Weibull decay-based forgetting, multi-scope isolation (agent/user/project), and a full management CLI.

Installation

Option A: One-Click Setup Script (Recommended)

curl -fsSL https://raw.githubusercontent.com/CortexReach/toolbox/main/memory-lancedb-pro-setup/setup-memory.sh -o setup-memory.sh
bash setup-memory.sh

Flags:

bash setup-memory.sh --dry-run       # Preview changes only
bash setup-memory.sh --beta          # Include pre-release versions
bash setup-memory.sh --uninstall     # Revert config and remove plugin
bash setup-memory.sh --selfcheck-only  # Health checks, no changes

SKILL.md on GitHub