In Memoria MCP server

In Memoria is a helper that gives your AI coding assistant a memory of your project that survives between chats. Instead of re-explaining your structure, naming habits, and decisions every time, the AI can look them up. It is handy for anyone who works with Claude, Copilot, or Cursor on the same codebase again and again.

What this MCP server does

You point In Memoria at your project folder once, and it reads through your code. It picks up your habits, like how you name things and how your files are organised. Then it saves all of that on your own computer. When you ask your AI something later, the AI quietly asks In Memoria, and In Memoria hands back the relevant details. You get an answer that matches your project, even days later.

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What you can do with it

• Remember your coding patterns and conventions across sessions
• Answer questions about your project's structure and tech stack
• Route a vague request like add password reset to the right files
• Find code by meaning, not just by exact keywords
• Track what you were working on and what decisions you made
• Suggest how you would likely solve a similar problem
• Record architectural decisions so they are not lost

Try asking your AI

• “Add password reset functionality”
• “Where did we put the password reset code?”
• “What tech stack and entry points does this project use?”
• “Review this code for consistency with our conventions”

What it gives back to you

You get answers in plain chat, written by your AI using what In Memoria found. That can be a short project summary, a list of matching files, or a suggested approach with the files to touch. It can also tell you what it remembers about your past tasks and decisions. You do not see raw data, just the AI's reply.

Before you start

Who it's for

Developers and technical teams who use AI coding assistants on the same codebase often and are tired of repeating themselves.