
Docgraph
Turn documents into knowledge graphs
What it does
DocGraph Local document RAG server for Cursor via MCP. Upload files or import URLs, index them with a local Rust embedder (ONNX, no Ollama or cloud key required), and query them from Cursor through the /document skill. Web UI — upload files, import URLs, and manage documents MCP server — search_documents, list_documents, get_document exposed to Cursor Local embeddings — fast ONNX embedder written in Rust; nothing leaves your machine
Does a similar job
all alternatives →- IRI rewrote my Mac Electron app in Rust2025 · desktopdocs.com · ▲597
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 -…

- WMWe made an MCP Server so Cursor can build things from REST API docs2025 · npmjs.com · ▲102



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the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 18d ago · simedw.com
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, June 2026
the whole month →
Fundraisly▲1,544AI fundraising agent that finds investors and books meetings
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- H6Homebrew 6.0.0▲1,481
Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
Dev tools · Jun 2026 · brew.sh
- PU
hope you enjoy
Life & fun · Jun 2026 · vorpus.github.io



Search 18 years of Hacker News and chart how any topic, tool, or person trended. Overlay terms to compare their rise and fall across 45M posts and comments.
Life & fun · Jun 2026 · hackernewstrends.com