Syntax & Capabilities

Last Updated March 22, 2026

Omni-MDX is designed to be highly compliant with standard Markdown (CommonMark), while seamlessly natively integrating JSX and mathematical expressions.

ℹ️ Information

Parser Philosophy: Omni-Core does not render HTML directly. It reads the syntax and generates a pure Abstract Syntax Tree (AST), leaving the styling and rendering implementation entirely up to your frontend or application logic.

Standard Markdown

All standard Markdown features are parsed natively with zero configuration.

Text Formatting

You can use bold, italic, and inline code effortlessly. Strikethrough is also supported using ~~double tildes~~. Blockquotes are structured perfectly in the AST:

“Knowledge must flow freely to shape the future.”
— The Omni Philosophy

Lists

Unordered lists use dashes or asterisks.
They can be seamlessly nested.
- Like this inner node.

Ordered lists are perfectly parsed.
They maintain their numerical sequence and attributes in the AST.

Code Blocks

Syntax highlighting is delegated to your renderer, but Omni-MDX will strictly capture the language tag and the raw code string without corrupting indentation.

rust

fn main() {
    println!("Omni-Core parses this instantly.");
}

JSX Components (MDX)

This is where Omni-MDX bridges the gap between text and interactive applications. You can interleave React-style components directly within your Markdown. The Rust core strictly validates the JSX tree structure.

Self-Closing Components

Use them for simple widgets, charts, or isolated elements:

tsx

Wrapping Components

You can wrap standard Markdown inside your custom JSX components. The engine will recursively parse the internal children, allowing for deep, complex layouts:

tsx


  ### Feature A
  This text is inside the grid, parsed as standard Markdown.

  ### Feature B
  You can even put `` components inside wrappers!

Native Math (LaTeX)

Unlike standard JavaScript parsers that require external plugins like remark-math (which severely degrade performance), Omni-Core understands mathematical boundaries at the lexer level.

Inline Math

Wrap your equations in single dollar signs. For example, the mass-energy equivalence equation is captured as a distinct math node natively: $E=mc^2$ .

Block Math

For complex, multi-line equations, use double dollar signs. This is especially useful for rendering heavy academic papers or AI research datasets:

text

$$
f(x) = \int_{-\infty}^\infty \hat f(\xi)\,e^{2 \pi i \xi x} \,d\xi
$$