Results for "markdown"

Multi-framework streaming Markdown renderer for AI chat interfaces, with incomplete Markdown handling, Mermaid, KaTeX, Shiki/Monaco code blocks, SSR, and packages for Vue, React, Svelte, and Angular.

Python tool for converting files and office documents to Markdown. Supports PDF, PowerPoint, Word, Excel, images, audio, HTML, and more with OCR and transcription capabilities. MIT licensed.

Open-source scientific and technical publishing system built on Pandoc. Create dynamic content with Python, R, Julia, and Observable. MIT licensed.

TypeScript library, CLI, and MCP server that converts Korean documents (HWP 3.x/5.x, HWPX, HWPML) as well as PDF, DOCX, XLSX, PPTX, and images to Markdown and structured data. MIT licensed.

Agent skills and open-format tooling for Obsidian vaults, Markdown, Bases, and JSON Canvas compatible with Claude Code, Codex, and OpenCode. MIT licensed.

Lightweight document parsing toolkit for AI and RAG pipelines with PDF/OCR extraction and clean preprocessing defaults.

Accessibility-aware PDF parser and conversion pipeline for AI-ready markdown and structured data workflows.

Generates typed SDKs, API documentation, and MCP servers from OpenAPI, AsyncAPI, GraphQL, Protocol Buffer, OpenRPC, and Markdown sources. MIT licensed.

Fast, accurate PDF-to-markdown converter with table extraction, equation handling, and optional LLM enhancement for RAG pipelines.

Convert any URL to LLM-friendly input with a simple prefix (r.jina.ai). Free service that extracts article content, removes clutter, and returns clean Markdown for RAG and agentic workflows. Apache 2.0 licensed.

MIT-licensed Obsidian and Claude Code integration that organizes Markdown vaults with local indexing and links.

LLM-friendly web crawler that turns websites into clean Markdown for RAG and agentic workflows.

Fast Rust library for PDF classification and text extraction that detects scanned vs text-based documents to route RAG pipelines without OCR. MIT licensed.

Native GNOME desktop app (GTK 4, Libadwaita) implementing the Karpathy LLM Wiki pattern: ingests documents into an Obsidian-compatible Markdown wiki with source provenance, works offline or with Ollama and OpenAI-compatible endpoints, and exposes the wiki to coding agents through an MCP server. MIT licensed.

Agent-auditing framework that runs adversarial and operational inspections against AI agents, producing scored JSON and Markdown reports for CLI, CI, and agent-plugin workflows. Apache-2.0 licensed.

Local-first knowledge search engine for agents with FTS5 full-text search and graph-based document expansion via citation/support/wiki links. Pure Go, no embedding required.

Web Data API for AI - search, scrape, and interact with the web at scale. Clean markdown/JSON output with proxy rotation and JS-blocking handled automatically.

Large-scale OCR suite with detection, recognition, and layout analysis, used widely for document digitization and downstream RAG pipelines.

Local source-backed AI knowledge base and LLM wiki for coding agents, with Markdown pages, hybrid retrieval, knowledge graphs, CLI workflows, and MCP integrations. Apache 2.0 licensed.

MIT-licensed stdio bridge (`@keenable/mcp`) that connects coding agents to Keenable's hosted web search and page fetching MCP server; no account or API key needed.

A format specification for describing visual identity to coding agents, combining YAML tokens and markdown prose to give agents a structured understanding of design systems. Apache 2.0 licensed.

High-accuracy document parsing for LLM and RAG workflows. Converts PDFs, Word, PPTs, and images into structured Markdown/JSON with VLM+OCR dual engine.

Spec-driven development (SDD) framework and CLI tool for AI coding assistants, providing structured workflows for proposing, implementing, and archiving code changes. MIT licensed.

Central AI agent rule registry. Manages and distributes rules for AI coding agents across projects. MIT licensed.