How to Run a Fast Website Parser for LLMs on 14 Megabytes of RAM
A lightweight Rust-based web scraper that uses just 14MB of RAM and outputs clean Markdown for LLMs.
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A lightweight Rust-based web scraper that uses just 14MB of RAM and outputs clean Markdown for LLMs.
pullmd converts any webpage to clean Markdown for LLM agents, stripping ads and navigation clutter while preserving content structure and saving tokens.
Log4brains turns architectural decision capture into a docs-as-code workflow, keeping your ADR history searchable and always in sync with your codebase.
Alexandrie combines team wiki features, self-hosted independence, and offline access in a single Docker-deployable knowledge base with Markdown editing.
Standard Markdown renderers weren't built for live token streams. Markstream solves flickering, broken code blocks, and hanging formulas when rendering AI output.
OpenKnowledge opens local Markdown folders with a full WYSIWYG editor and built-in AI agent integration via MCP. No proprietary databases, just plain files and Git sync.
Docusaurus and VuePress are popular, but they pull in heavy npm dependencies. Hugo Book offers a lightweight alternative for clean documentation sites.
Sätteri is a Rust-based MDX parser and compiler that speeds up documentation and content site builds while keeping JavaScript plugin infrastructure intact.
Fed up with heavyweight wikis? LeafWiki is a self-hosted knowledge base that runs on a single Go binary with Markdown files on disk — no Docker Compose nightmares.
Discover Academic Pages, a free Jekyll template for GitHub Pages that helps developers, researchers, and students create professional portfolios without coding or expensive tools.
GitHubDaily is a curated collection of the best open-source projects, manually selected by enthusiasts to save developers time and help them discover quality tools.
Discover Rich, a Python library that transforms boring terminal output into beautiful, colorful, and interactive experiences with tables, progress bars, and syntax highlighting.