Is this an AI for Logseq that works offline?

Yes. Point a vault at your graph folder: the Markdown files are read and indexed on your machine. With a local model, downloaded once, the answers are written offline too. A cloud model is a choice you make per conversation.

Do I need a plugin in Logseq?

No plugin exists, and none is needed. Mnemosyne OS watches the folder where Logseq keeps your files and picks up every save. Logseq does not know it is there.

Does it write into my graph?

Never. It reads your notes and keeps its index in its own vault, alongside. Your files do not move a byte.

Which files does it read?

Markdown (.md, .mdx), plain text, reStructuredText and LaTeX, plus the PDFs, Word files and spreadsheets that sit in the same folder. Images once image memory is on.

Can I keep some notes out of the AI's answers?

Yes. Put them in their own vault and mark it MAXIMUM. It answers only questions that name it, and its content reaches a cloud model only if you confirm it, each time. AES-256 encryption at rest exists too; you arm it.

The download is the complete OS, free, with no account and no email. Everything on this page runs without a license and without credits, with a local model. Cloud credits are prepaid and optional.

For the Logseq community

Stay on Logseq.
Give your graph a memory.

Mnemosyne OS reads your graph and never writes to it. Your markdown blocks and pages stay where they are. You ask one question, and it finds them by meaning, across years of notes. The search runs on your machine, 100% local. Logseq, Obsidian, or a plain folder of .md. If your notes are files, it reads them.

Download, free How it works

We speak the same language

Local-first, plain files, zero lock-in.

That's your DNA. It's ours too. Your notes are markdown files on your disk. Mnemosyne OS reads them right where they are, no account, no server, no mandatory cloud. You can unplug everything tomorrow: your files haven't moved a single byte.

No proprietary lock, no export to negotiate. The same standard that made you pick files over a closed database.

What changes

From "where did I already write this?" to "just ask".

Keyword search finds what you already remember. Search by meaning finds what you forgot you wrote. The note from two years ago answers today's question, even without the right word.

This memory feeds the AI you plug in, yours, local, or through your own key. Your assistant stops starting from scratch. It works from the notes you already wrote.

What it looks like

Your notes, as living memory.

Your notes, rendered as a memory you can walk through: each node a note, each edge a measured link of meaning. What you wrote comes back when you ask for it.

Questions

What Logseq users ask before installing.

Is this an AI for Logseq that works offline?: Yes. Point a vault at your graph folder: the Markdown files are read and indexed on your machine. With a local model, downloaded once, the answers are written offline too. A cloud model is a choice you make per conversation.
Do I need a plugin in Logseq?: No plugin exists, and none is needed. Mnemosyne OS watches the folder where Logseq keeps your files and picks up every save. Logseq does not know it is there.
Does it write into my graph?: Never. It reads your notes and keeps its index in its own vault, alongside. Your files do not move a byte.
Which files does it read?: Markdown (.md, .mdx), plain text, reStructuredText and LaTeX, plus the PDFs, Word files and spreadsheets that sit in the same folder. Images once image memory is on.
Can I keep some notes out of the AI's answers?: Yes. Put them in their own vault and mark it MAXIMUM. It answers only questions that name it, and its content reaches a cloud model only if you confirm it, each time. AES-256 encryption at rest exists too; you arm it.
Is it free?: The download is the complete OS, free, with no account and no email. Everything on this page runs without a license and without credits, with a local model. Cloud credits are prepaid and optional.

Your graph already holds everything you wrote. Now you can ask it a question.

Download, free Why the relationship