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5998
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45
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Install in OpenClaw
/install lancedb-memory
Description
Manage and retrieve long-term memories with LanceDB using semantic vector search, category filtering, and detailed metadata storage.
Usage Guidance
Install only if you want a local long-term memory store. Avoid saving secrets or sensitive personal data unless you are comfortable with durable local retention, verify or change the hard-coded storage path, and make sure the required Python packages come from trusted sources.
Capability Analysis
Type: OpenClaw Skill
Name: lancedb-memory
Version: 1.0.0
The skill bundle provides LanceDB integration for agent memory management. All files contain Python code for local database operations, including adding, searching, and retrieving memories. While several files use hardcoded absolute paths (e.g., `/Users/prerak/clawd/memory/lancedb` and `sys.path.append('/Users/prerak/clawd/skills/lancedb-memory')`), these paths point to locations within the expected agent's data and skill directories, and do not indicate unauthorized access or malicious intent. There is no evidence of data exfiltration, malicious execution, persistence, or harmful prompt injection attempts.
Capability Assessment
Purpose & Capability
The code adds, searches, lists, updates, and deletes local memory records, which matches the stated LanceDB long-term memory purpose.
Instruction Scope
The artifact is mostly Python implementation rather than user-facing operating guidance, and it does not clearly describe retention, sensitivity limits, or when callers should store content.
Install Mechanism
No suspicious installer is present, but the package imports third-party Python libraries such as lancedb, pandas, and pyarrow without a clear dependency/install specification.
Credentials
The database and import paths are hard-coded to /Users/prerak/clawd locations, which is brittle and should be configurable, but still fits local memory storage rather than broader system access.
Persistence & Privilege
The skill creates local LanceDB directories/tables and persists records on disk via global instances; it does not show credential access, network exfiltration, background workers, privilege escalation, or destructive system actions.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install lancedb-memory - After installation, invoke the skill by name or use
/lancedb-memory - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of LanceDB-memory skill
- Provides a LanceDB-backed long-term memory system with vector search and semantic storage capabilities
- Supports adding, searching, updating, and deleting memory entries with metadata, categories, tags, and importance
- Includes statistics and category management functions for stored memories
- Example usage and main test section included in the code
Metadata
Frequently Asked Questions
What is Lancedb Memory?
Manage and retrieve long-term memories with LanceDB using semantic vector search, category filtering, and detailed metadata storage. It is an AI Agent Skill for Claude Code / OpenClaw, with 5998 downloads so far.
How do I install Lancedb Memory?
Run "/install lancedb-memory" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Lancedb Memory free?
Yes, Lancedb Memory is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Lancedb Memory support?
Lancedb Memory is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Lancedb Memory?
It is built and maintained by pntrivedy (@pntrivedy); the current version is v1.0.0.
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