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Znote AI

You are not locked into a single way of doing things. Znote AI supports your existing habits instead of forcing a new one, which makes adoption within a team much...

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Overview

Znote AI screenshot

Znote is a desktop Markdown editor that works with your own .md files stored locally. It adds AI and code to your notes: you can ask questions of your notes, run code blocks inline, connect real tools through MCP and version everything with git, all without leaving the note. The site says it is free and needs no account, and that it is built by one independent developer.

Ask your notes

Inside a note, you type @ to choose which files the AI should read and / to pick a command. Examples include turning meeting notes into decisions and action items, or turning a rough idea into a user story using your own template file. Custom slash commands such as /brainstorm and /rewrite are themselves Markdown files you can edit. Answers appear inline in the note rather than in a separate chat window, so there is no copying and pasting.

Run code

A JavaScript code block becomes a small tool. You press play to query a database, call an API or parse a file, and the resulting chart or table renders below the block. Examples on the site include a weekly sales chart, cleaning up a CSV export and a simple status page that fetches your APIs. Save the note and you can rerun it any time.

Connect tools

Znote supports MCP, the open standard for connecting AI to tools. Adding tools= to an AI block lets the model query and create content in services such as GitHub, Postgres, Slack and Linear. Examples include a standup summary built from open pull requests and recent commits, and asking a database questions in plain English. Server configuration uses the same format as Claude Desktop.

Who it suits

Znote suits developers, tech leads and product owners who already keep notes in Markdown and want AI and small scripts close to their documents.

Things to consider

Running code and connecting AI to databases and work tools is powerful, so use read-only credentials where possible and check queries before running them against production data. Find out which AI model your questions are sent to and what that means for sensitive notes. Keeping files in git gives you history and an easy way to undo AI edits.

Details

Pricing
Free
Release date
2025-12-19
Last checked
3d ago
Indexing
index, follow
Category
Productivity
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