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Znote — A beautiful Markdown editor with AI & code built in

Znote is a clean, local-first Markdown editor for your `.md` files. It's minimalist by default and powerful when you need it, with four things that set it apart: **ask** your notes with AI, **run** code blocks inline, **connect** your real tools through MCP, and **version** the vault with git. Its treeview composes folders from anywhere on your disk into one workspace — your files stay put, nothing to migrate. Git is optional but supported: a vault that is a repository is pulled, committed and p

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For agents: Znote, a local-first Markdown editor with AI, inline code execution, MCP server connections, git versioning, and an Obsidian companion plugin.

markdown editorlocal-first notesmcpobsidiangit versioning

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50 reach 5 · trust 5 · quality 25 · freshness 15
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listed
llms.txt
https://znote.io/llms.txt
llms-full.txt
https://znote.io/llms-full.txt
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7
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26
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12519 bytes
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#979487
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Categories
AI and machine learning · Productivity
For agents
Documentation: developer or product docs worth reading, nothing to call
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mixed · agents can: read docs · en
First seen
2026-10-25T18:12:00.285Z
Last checked
2026-10-26T11:03:29.624Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-26T11:03:27.286Z. Cached copy · Source on znote.io

# Znote — A beautiful Markdown editor with AI & code built in

> Znote is a clean, local-first Markdown editor for your `.md` files. It's minimalist by default and powerful when you need it, with four things that set it apart: **ask** your notes with AI, **run** code blocks inline, **connect** your real tools through MCP, and **version** the vault with git. Its treeview composes folders from anywhere on your disk into one workspace — your files stay put, nothing to migrate. Git is optional but supported: a vault that is a repository is pulled, committed and pushed from the app, and the passwords a note carries stay out of the commit — encrypted next to the note. It's all plain `.md`, so your Obsidian vault opens as-is — a one-click companion plugin even adds "Run in Znote" buttons inside Obsidian. Every feature is free, and the AI runs on your own models (BYOK). Companies can have it managed for all their employees instead. A beautiful, focused alternative to Notion and Obsidian for people who want to write Markdown locally — and want those files to think and run.

**What Znote is**: first and foremost, a gorgeous, distraction-free Markdown editor for plain `.md` files on your disk — WYSIWYG, themes, focus mode, tabs, full-text search, and a treeview that composes folders from anywhere on your disk into one workspace. On top of that calm editor sit four moves, in the order the home page presents them:
1. **Ask** — type `@` to bring any note, folder, or code block in as grounded context, or `/` to pick a prompt; the AI reads your material and writes the result inline, where you wrote it. No second app, no chat window.
2. **Run** — JavaScript / Node.js code blocks execute locally. Query a database, fetch an API, shape the rows, and render the output — a chart, a table, anything — inline, right under the code that produced it.
3. **Connect** — **MCP (Model Context Protocol)** plugs real tools into AI blocks: declare servers in your vault — GitHub, Postgres, Slack, Linear, your filesystem, hundreds more — and write `tools=github` in a block to query, search and create through them. Same config format as Claude Desktop; the servers run locally.
4. **Version** — the vault is plain files, so git works on it if you want it: pull, commit and push from the app, while a note's passwords stay encrypted in a file beside it, so the note itself is safe to commit.

**Why Znote**:
- **A beautiful, minimalist editor**: clean WYSIWYG Markdown, gorgeous built-in themes (Dark, Nord, Orange, Terminal…), an editor you actually want to open.
- **AI grounded in your files**: `@reference` any folder, file, or block; the AI answers from your material — not generic guesses.
- **Code blocks that run**: JS/Node executes locally; data flows from one block to the next; output (charts, tables, query results) renders inline.
- **Connected through MCP**: any Model Context Protocol server plugs into your AI blocks — query databases in English, turn meeting notes into GitHub/Linear
…

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