Cortex Memory Engine
Local-first AI memory engine — 4-tier memory, people graph, Bayesian beliefs. Encrypted, 62µs.
What is Cortex Memory Engine?
Cortex Memory Engine is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to local-first ai memory engine — 4-tier memory, people graph, bayesian beliefs. encrypted, 62µs.
Local-first AI memory engine — 4-tier memory, people graph, Bayesian beliefs. Encrypted, 62µs.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Local-first AI memory engine — 4-tier memory, people graph,
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx io-github-gambletan-cortexConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Cortex Memory Engine
What is Cortex Memory Engine?
Cortex Memory Engine is a Model Context Protocol (MCP) server that local-first ai memory engine — 4-tier memory, people graph, bayesian beliefs. encrypted, 62µs. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Cortex Memory Engine?
Follow the installation instructions on the Cortex Memory Engine GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Cortex Memory Engine?
Cortex Memory Engine works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Cortex Memory Engine free to use?
Yes, Cortex Memory Engine 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 Cortex Memory Engine 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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