vector-memory

Smart memory search with automatic vector fallback. Uses semantic embeddings when available, falls back to built-in search otherwise. Zero configuration - works immediately after ClawHub install. No setup required - just install and memory_search works immediately, gets better after optional sync.

Review before installing. The local semantic-memory goal is understandable, but install only from a trusted, pinned source; avoid the curl | bash path; and fix or wait for fixes to command execution and file path containment before using it on a workspace with secrets or sensitive files.

Package: vector-memory (mcp) Version: 2.1.1 Description: Smart memory search with automatic vector fallback. Uses semantic embeddings when available, falls back to built-in search otherwise. Zero configuration - works immediately after install. The package provides a local vector-based memory search system for the OpenClaw agent framework. It utilizes the Transformers.js library to generate embeddings locally using the all-MiniLM-L6-v2 model, enabling semantic search capabilities without external API calls. The codebase includes a smart wrapper (smart_memory.js) that automatically switches between neural vector search and a keyword-based fallback search depending on the availability of the index. It manages memory files within a specific workspace directory, implements semantic chunking, and provides a CLI for indexing and searching. No malicious behavior, unauthorized data exfiltration, or suspicious network activity was detected; the installation script and file operations are consistent with the stated purpose of an agent skill extension.