5 repositorios
Serving documentation as plain Markdown files accessible by appending .md to any documentation URL.
Distinct from Document Serving: Distinct from Document Serving: focuses on serving Markdown files specifically, not general document formats.
Explore 5 awesome GitHub repositories matching business & productivity software · Markdown Documentation Serving. Refine with filters or upvote what's useful.
Lingui is a JavaScript internationalization library that provides a framework-agnostic core with bindings for React, SolidJS, Svelte, Astro, and other JavaScript frameworks. It operates through a compile-time message extraction pipeline that scans source files for translatable strings, generates standard PO, JSON, or CSV catalog files, and compiles them into optimized JavaScript modules for production deployment. The library uses macro-based message definition to wrap translatable text in source code while preserving context for extraction, and includes a plural rule engine that automatically
Serves static Markdown files and a real-time searchable MCP server that give AI tools accurate, up-to-date documentation content.
Serves documentation as plain Markdown files accessible by appending .md to any documentation URL.
Inngest is a durable execution framework and event-driven automation engine designed to orchestrate background workflows. It enables developers to build resilient, stateful processes by memoizing function steps, ensuring that long-running tasks can automatically resume from the last successful operation after failures, timeouts, or infrastructure restarts. The platform distinguishes itself through its event-driven architecture, which uses a schema-validated bus to trigger functions and coordinate complex, multi-step logic. It employs an onion-model middleware approach for cross-cutting concer
Exposes project documentation in structured formats optimized for AI ingestion and code assistance.
Docute is a browser-based documentation framework that transforms markdown files into functional websites directly within the user's browser. By performing all processing on the fly, it eliminates the need for static build steps, server-side compilation, or complex deployment pipelines. The platform functions as a single-page application, managing navigation and content updates dynamically by intercepting browser history events to avoid full page reloads. It utilizes a virtual file system abstraction to fetch and resolve documentation assets, ensuring that the site remains responsive and ligh
Publishes technical guides by serving raw markdown files that render into a functional website on the fly.
This project is a server implementation of the Model Context Protocol designed to function as an AI knowledge retrieval tool. It acts as a semantic search engine and web scraping framework that indexes technical documentation from web sources, local files, and archives, making this information directly accessible to AI coding assistants for context-aware research and querying. The system distinguishes itself through a hybrid search architecture that combines vector-based embeddings with full-text retrieval to improve the accuracy of documentation lookups. It features a modular pipeline for co
Serves documentation through a long-running server endpoint optimized for AI tool consumption and protocol support.