What is Vector Memory?
Vector Memory is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to semantic document memory using redis vector store. save and recall files with natural language.
Semantic document memory using Redis vector store. Save and recall files with natural language.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Semantic document memory using Redis vector store. Save and
Use Cases
Maintainer
Works with
Installation
PIP
pip install mcp-server-vector-memoryManual Installation
pip install mcp-server-vector-memoryConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Vector Memory
What is Vector Memory?
Vector Memory is a Model Context Protocol (MCP) server that semantic document memory using redis vector store. save and recall files with natural language. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Vector Memory?
Install via pip with: pip install mcp-server-vector-memory. Then configure your AI client to connect to this MCP server.
Which AI clients work with Vector Memory?
Vector Memory works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Vector Memory free to use?
Yes, Vector Memory is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Everos
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Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Vector Memory in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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