Vector Memory Hack
by community
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Description
Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant context before starting a task, (2) Search through large memory files efficiently, (3) Retrieve specific rules or decisions without reading entire files, (4) Enable semantic similarity search instead of keyword matching. Lightweight alternative to heavy embedding models - zero external dependencies, <10ms search time.
Install Vector Memory Hack
Run this in your OpenClaw agent to add Vector Memory Hack from the ClawHub registry.
openclaw skills install vector-memory-hackRequires ClawHub registry access. Review the security analysis below before installing.
Security Analysis
Open Source
Code is publicly available for audit.
Community Verified
Reviewed by the ClawHub community.
Community Reviews
Real user ratings only — separate from the editorial assessment and ClawHub signal.
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Frequently asked questions
Is Vector Memory Hack safe to install?
Vector Memory Hack has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.
How much does Vector Memory Hack cost?
Vector Memory Hack is free to install for OpenClaw via ClawHub.
What are the best alternatives to Vector Memory Hack?
You can compare Vector Memory Hack side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.
How do I install Vector Memory Hack?
Install Vector Memory Hack from ClawHub at clawhub.ai/skills/vector-memory-hack, or use the install action on this page to copy the command for your OpenClaw agent.
Community Signal
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