erusev

Markdown Filter for PHP’s Timber/Twig Templating Engine {% raw %} Markdown is a wonderful way to write content on the web, it’s what I use to write every blog article you see here on kevinleary.net. While working with Upstatement’s Timber plugin I came across a situation where I wanted to provide Markdown support for custom field content in a custom WordPress theme. Timber provides a get_twig filter hook that can be used to add custom Twig filters. Using this we can add a Markdown filter that will allow us to parse Markdown syntax for any value in our *.twig files. Twig Filter for Timber First you’ll need to include the PHP Parsedown library in your project. Download and include Parsedown.php in your theme or plugin, and then use the following class to define a Twig markdown filter that can be used like this: {{ var | markdown }}. /** * Twig Markdown Filter * * Extension for WordPress Timber plugin that support processing * markdown with {{ var | markdown }}. */ if ( ! class_exists( 'Timber_Twig_Markdown_Filter' ) && class_exists( 'Timber' ) && class_exists( 'Parsedown' ) ) : class Timber_Twig_Markdown_Filter { /** * Constructor */ public function __construct( ) { add_filter( 'get_twig', array( $this, 'define_filter' ) ); } /** * Filter Definition */ public function define_filter( $twig ) { $twig->addFilter( new Twig_SimpleFilter( 'markdown', array( $this, 'parse_markdown' ) ) ); return $twig; } /** * Markdown Parser */ public function parse_markdown( $text ) { $parser = new Parsedown(); return $parser->text( $text ); } } new Timber_Twig_Markdown_Filter(); endif; Parsedown is fast and does the job well in PHP, but you don’t have to use it. Any PHP based markdown parser will work, just adjust the parsing method in parse_markdown if you want to use something different. Matthew Spencer outlines another approach that uses Jetpack’s Markdown parser. If you like Jetpack (I don’t) then this may be a better option to use if you already have it installed. {% endraw %}

Llama: A cosy home for your LLMs (1.6k stars) What it does All text below is quoted directly from the project README. >Llama is a macOS menu bar app for running local LLMs. How it works: >When you start Llama, it runs a local server at http://localhost:9931/v1. >If you have llama.cpp installed, Llama uses it. Otherwise, it installs a prebuilt binary for your Mac. Models you've already installed via llama.cpp show up in the app automatically. You can install any GGUF model from Hugging Face, and Llama also recommends models that fit your Mac's hardware. >You can chat with any model in the built-in WebUI, connect other apps (coding agents, chat UIs, editors), or use the API directly. Models load when requested and unload when idle, so they don't take up memory when not in use. Features: - 100% local— Models run on your Mac; no data ever leaves it - Small footprint— 4 MB native macOS app - Zero configuration— models are auto-configured with optimal settings for your Mac - Model recommendations— a built-in list of models your Mac can run, installable in one click - Standard storage— models live in the Hugging Face cache, shared with llama.cpp and other tools - Built on llama.cpp— from the GGML org, developed alongside llama.cpp >By default the server is reachable only from your Mac. "Allow network access" in Settings changes that, and what it offers depends on your setup. Repository ggml-org/Llama-macOS Repository stats |Metric|Value| |:-|:-| |Stars|1,599| |Forks|127| |Last release|0.44.0 (2026-10-08)| |Languages|Swift 94.5%, HTML 5.5%| |Contributors|4| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|None| |AI co-authored commits|None| Main contributor |Field|Value| |:-|:-| |Name|Emanuil Rusev| |GitHub|@erusev| |Commits to this repo|1,222 (top contributor)| |Company / Location|@huggingface / Sofia, Bulgaria| |Website|erusev.com| |X / Twitter|@erusev| |Followers|424| |Public repos|23| |On GitHub since|2010-01-17|