Alternatives
Products that do what Docgraph does
Turn documents into knowledge graphs
- 1IR
A year ago, my co-founder launched Desktop Docs here on HN. It's a Mac app we built with Electron that uses CLIP embeddings to search photos and videos locally with natural language. We got positive feedback from HN and our first paying customers, but the app was almost 1GB and clunky to use. TLDR; rebuilding in Rust was the right move. So we rewrote the app with Rust and Tauri and here are the results: - App size is 83% smaller: 1GB → 172MB - DMG Installer is 70% smaller: 232MB → 69.5MB - Indexing files is faster: A 38-minute video now indexes in ~3 minutes instead of 10-14 minutes -…
2025 · desktopdocs.com
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2025 · browsermcp.io
- 5WM
2025 · npmjs.com
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- 9MS
I was looking around for an MCP server that could connect Anna's Archive to Claude Desktop, as I wanted to be able to search and download books directly through the interface. I couldn't find any public implementations, so ended up building one myself. What it does? - It searches Anna's Archive by keywords. - It downloads books from search results. - It works directly in Claude Desktop through MCP. Check out the repository's README for detailed installation and configuration instructions. The code is fully open source and builds run on GitHub Actions for transparency. I figured I'd share,…
2025 · github.com
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2025 · npmjs.com
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- 13HM
Hi HN! Excited to share our MCP Server at Hyperbrowser - something we’ve been working on for a few days. We think it’s a pretty neat way to connect LLMs and IDEs like Cursor / Windsurf to the internet. Our MCP server exposes seven tools for data collection and browsing: 1. `scrape_webpage` - Extract formatted (markdown, screenshot etc) content from any webpage 2. `crawl_webpages` - Navigate through multiple linked pages and extract LLM-friendly formatted content 3. `extract_structured_data` - Convert messy HTML into structured JSON 4. `search_with_bing` - Query the web and get results…
2025 · github.com
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2018 · docute.org
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Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…
2025
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2021 · github.com
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Hey HN! I'm excited to share a tool I've been working on - a native Hacker News reader built with Rust and egui. Here's a screenshot: https://github.com/haojiang99/hacker_news_reader/blob/main/s.... As a daily HN reader, I've always struggled with keeping track of interesting posts I want to read later. Browser tabs pile up, bookmarks get forgotten, and I lose track of what I've already read. I needed a way to: 1. Browse HN efficiently (across all sections - hot, new, show, ask, jobs, best) 2. Quickly mark posts as "todo" for later reading 3. Mark posts as…
2025 · github.com
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Connect Claude Desktop, ChatGPT, Codex Desktop, OpenClaw, or any MCP-capable assistant to Revise. Agents can draft, edit, export, and share documents on your behalf — even before you have an account. Includes the full tool-by-tool reference.
30d ago · revise.io
- 19IB
I was experimenting with building a local dataset generator with deep research workflow a while back and that got me thinking. what if the same workflow could run on my own files instead of the internet. being able to query pdfs, docs or notes and get back a structured report sounded useful. so I made a small terminal tool that does exactly that. I point it to local files like pdf, docx, txt or jpg. it extracts the text, splits it into chunks, runs semantic search, builds a structure from my query, and then writes out a markdown report section by section. it feels like having a lightweight…
2025 · github.com
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My friends and I built MCP Jetpack which makes it really easy to start using MCP. It’s an MCP server that automatically finds and executes the right tools needed to accomplish your task without having to manage MCP servers for each service (GitHub, Linear, Atlassian, Notion etc.). Once you add it to Cursor (or any other AI app with MCP support), Cursor instantly gets access to a growing library of remote MCP servers without any extra setup. For services that require authentication, you will be asked to login the first time you ask your AI to interact with that service. Two problems we are…
2025 · mcpjetpack.com
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2021 · github.com
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We built a reference MCP server that lets your editor/agent learn a codebase directly from source (signatures, types, AST, comments). Docs are optional. The reference impl runs on our open-source project’s codebase. Why we built it Docs are important, but they add another abstraction layer between your code and your users. Keeping them at the right quality is hard (especially at a startup), and LLM-generated docs are often mediocre until you invest real polish. Exposing code to the model in a structured way keeps answers grounded and current, and it’s always available. You can even…
Sep 2025 · github.com
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