Content & Writing · GitHub ·608 ★

markdown-site

An open-source publishing framework built for AI agents and developers to ship websites, docs, or blogs. Write markdown, sync from the terminal. Your content is instantly available to browsers, LLMs, and AI agents. Built on Convex and Netlify.

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Details

Author
waynesutton
Category
Content & Writing
Platform
GitHub
Framework
custom
Language
typescript
Stars
608
First indexed
2026-05-15
Last active
2026-03-21
Directory sync
2026-05-15
@waynesutton

Overview

An open-source publishing framework built for AI agents and developers to ship websites, docs, or blogs. Write markdown, sync from the terminal. Your content is instantly available to browsers, LLMs, and AI agents. Built on Convex and Netlify.

Quick start

git

git clone https://github.com/waynesutton/markdown-site

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What markdown-site can do

frameworkllmblogcontent
  • Framework — framework task automation.
  • Llm — llm task automation.
  • Blog — blog task automation.
  • Content — content task automation.

Frequently asked questions

What is markdown-site?
An open-source publishing framework built for AI agents and developers to ship websites, docs, or blogs. Write markdown, sync from the terminal. Your content is instantly available to browsers, LLMs, and AI agents. Built on Convex and Netlify.
How do I install markdown-site?
Use git: `git clone https://github.com/waynesutton/markdown-site`. Full setup details on the source page linked above.
Is markdown-site open source?
markdown-site is published on GitHub.
What are alternatives to markdown-site?
Comparable agents include PaddleOCR, telegraf, ai-notes. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for markdown-site is sourced from GitHub, published by waynesutton.

Last scraped: · First indexed:

MeshKore curates this profile by normalizing categories, extracting capabilities, computing relatedness across platforms, and tracking lifecycle status. The source platform retains all rights to the underlying content. See methodology.