A TypeScript SDK for Docling - Bridge between the Python Docling ecosystem and JavaScript/TypeScript.

Local AI agent on your home machine, accessible from your phone via P2P WebRTC. Ollama + RAG + Skills + cron - no cloud, no subscription, your data stays on your hardware.

TypeScript library for extracting structured data from archaeological excavation report PDFs using Docling SDK and LLM-powered analysis

A Zotero plugin to convert PDF attachments to Markdown via Docling.

OpenHealth, AI Health Assistant | Powered by Your Data

n8n community node for Docling Serve document processing

🧙‍♂️AI-powered tool to optimize your CV with job-specific keywords and align it to your dream job.

An interface to provide PDFs to Langflow and return markdown

Experimental self-hosted URL-to-context service for LLM workflows with easily customizable and extensible pipeline.

RAG API service with RAPTOR hierarchical indexing, multi-stage search, and LLM-powered answers.

基于大模型的软件工程文档结构化提取系统

Self-hosted document AI — extract structured data from PDFs with LLM smart templates

Self-hosted study companion: turn lecture PDFs into audiobooks, flashcards and exam sessions — entirely on your own hardware.

A vertical agentic ai platform , It is architected for Extreme Configurable Data Entry (The "CSV Factory") using a lean, high-performance stack: Hono (SSR),Cloudflare Workers, D1/Drizzle, and Modal (Python AI).

This project aims to build an AI-powered knowledge sharing system that enables agents to ask and answer questions, contribute verified learnings, and organically grow a community driven knowledge base much like a “StackOverflow for Scheme Agents.” The system will also promote community engagement, ultimately improving retention and performace.