Memory Lancedb Pro
CheckedMemory LanceDB Pro swiftly extracts and formats data from LanceDB databases for seamless integration into various applications, boosting efficiency.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add win4r/memory-lancedb-pro-skill --skill memory-lancedb-pro -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
win4r
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned win4r/memory-lancedb-pro-skill at 2b8b1ca288.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 2b8b1ca288
- Manifest
- SKILL.md
- Scanned
- 10 files, 1,544 lines
About this skill
What it does
Memory Lancedb Pro is an enhanced long-term memory plugin for OpenClaw that improves upon the standard memory-lancedb plugin. It allows AI agents to store and retrieve data from LanceDB databases with advanced features like multi-scope memory isolation, a management CLI, and improved retrieval capabilities. This skill enables efficient data storage and access within an agent's long-term memory.
When to use it
- When you need more advanced memory management than the default
memory-lancedbplugin provides. - For applications requiring isolated memory scopes for different tasks or contexts.
- When managing a LanceDB database and needing tools for listing, searching, statistics, deletion, export, import, re-embedding, and migration.
- To leverage adaptive retrieval that skips retrieving information for greetings, commands, or emoji.
Key capabilities
- LanceDB Integration: Stores data in LanceDB databases with FTS indexing and CRUD operations.
- Hybrid Retrieval Engine: Combines vector search and BM25 ranking for improved recall.
- Multi-Scope Memory Isolation: Organizes memory into distinct scopes for better context management.
- Management CLI: Provides tools for managing LanceDB data (list, search, stats, delete, export, import, reembed, migrate).
- Noise Filtering: Filters out low-quality content to improve memory quality.
- Adaptive Retrieval: Skips retrieval for greetings, commands, and emoji.
Example prompts
- "List all memories in the 'project_alpha' scope."
- "Search my LanceDB database for documents related to 'customer onboarding'."
- "Forget everything I’ve stored about ‘meeting with John’."
Tips & gotchas
- Requires OpenClaw and a configured LanceDB database.
- The plugin replaces the default
memory-lancedbplugin, so ensure compatibility within your OpenClaw environment. - Refer to the
references/retrieval_pipeline.mdfile for detailed information on the scoring math used in retrieval.