by ZenNotes · MCP Server · ★ 1.9k
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ZenNotes ZenNotes is a keyboard-first Markdown notes app with a shared product core and multiple runtimes: a desktop app built with Electron a self-hosted web app backed by a Go server a future hosted deployment mode built on the same web/server stack ZenNotes keeps your notes as ordinary Markdown files on disk. It adds Vim-friendly editing, split and preview workflows, tasks, tags, archive/trash, diagrams, search, daily notes, CSV databases (Notion-style Table + Board views over plain files), and MCP integration on top of the files you already own. On macOS, the first-party CLI also powers launcher workflows such as the Raycast extension. Grab the latest build from GitHub Releases — see Install below. Website: zennotes.org Support development: GitHub Sponsors Detailed in-repo documentation lives under docs/README.md. Install All desktop installers are attached to each GitHub Release. The app auto-updates, so you only download once. (Replace with the current release, e.g. .) macOS Download the for your chip, open it, and drag ZenNotes to Applications. Builds are signed and notarized. Apple Silicon: Z
| Stars | 1,949 |
| Forks | 104 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.1147761953062/100 |
| Open Issues | 94 |
| Last Updated | 2026-07-10 |
| Created | 2026-04-11 |
| Platforms | mcp, node |
| Est. Tokens | ~18k |
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zennotes is Keyboard-first local Markdown notes with Vim motions, diagrams, and MCP integration.. It is categorized as a MCP Server with 1.9k GitHub stars.
zennotes is primarily written in TypeScript. It covers topics such as electron, local-first, markdown.
You can find installation instructions and usage details in the zennotes GitHub repository at github.com/ZenNotes/zennotes. The project has 1.9k stars and 104 forks, indicating an active community.
zennotes is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to zennotes on Agent Skills Hub include basic-memory, deepchat, core. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.