Memocore Knowledge Base

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Your guide to Memocore. Memocore is your persistent memory for AI — it saves notes, ideas, and knowledge so they stay with you across chats and tools. Here you'll learn what Memocore does and how it works, discover its features and best tips, and see real ways to use it in everyday work. Browse the articles or search for answers to the most common questions.

Shared project

This is Memocore

Memocore is the memory your AI clients share. Save something once and every assistant you use already knows it — nothing to re-explain, nothing to copy between chats.

What is Memocore

Memocore is a persistent memory layer for AI: save a fact once and every AI client (Claude, ChatGPT, Cursor, VS Code, Claude Code) can read and write the same memory.

アンアン株式会社
Jul 14, 2026
getting-startedfaq

Memocore (also called "mc") is a persistent memory layer for AI. You save a fact once, and every AI client you use can read and write that same memory - so you stop repeating yourself across chats and tools. The problem it solves: AI assistants are brilliant but forgetful. Every model starts each chat from zero, and what one tool learns, the next never sees. You end up re-explaining the same context over and over, and knowledge never travels between apps. Memocore gives your assistants one shared memory of your context, preferences and decisions. Positioning: "One memory, every AI client." It works with Claude, ChatGPT, Cursor, VS Code, Claude Code - and any client that speaks the Model Context Protocol (MCP). The three core ideas: - Private memos: personal notes, visible only to you. - Project memos: shared memory, visible to the teammates you invite. - Tags: labels that make memories easy to find. How it works in three steps: Connect your AI client once, let it Remember things as you work, and Recall them from any future chat or any other tool. Set it up once and never brief your AI from scratch again. It is private by default, collaborative when you want it, and portable across everything you use. You can also plug Memocore memory into your own product over an API.