Memo FAQs

Question 1

What is Memo?

Accepted Answer

Memo is a local Model Context Protocol (MCP) server that provides intelligent journaling capabilities. It leverages large language models (LLMs) and Retrieval-Augmented Generation (RAG) to allow you to query your personal journal entries using natural language, gaining insights into past events, mood, and more.

Question 2

Does Memo use AI/LLMs locally?

Accepted Answer

Yes, Memo acts as a local MCP server that integrates with MCP-compatible LLM clients (like Claude Desktop or Cline). It processes your journal entries locally using RAG to provide relevant contexts to the LLM, ensuring your data remains on your device while still benefiting from AI capabilities.

Question 3

How does Memo ensure my privacy?

Accepted Answer

Memo is designed for local use, meaning your journal entries are stored on your personal computer. It does not send your sensitive data to external cloud services or models, providing enhanced privacy and control over your personal information.

Question 4

What technical features does Memo offer for performance and data handling?

Accepted Answer

Memo supports GPU and Apple MPS acceleration for faster embedding generation, offers multiple local vector store options (ChromaDB, FAISS, in-memory), includes automatic indexing, and allows for date filtering of search results. These features optimize performance and retrieval for your journal data.

Question 5

What kind of questions can I ask my journal with Memo?

Accepted Answer

You can ask a wide range of natural language questions about your journal entries. Examples include 'How did I feel about work this year?', 'Show me entries about my vacation in July this year', 'What goals did I set for myself in 2025?', or 'How was my mental health last month?'

Memo

Memo

主な機能

ユースケース

主な機能

ユースケース