I built a deep research tool for local file system
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…
I built a deep research tool for local file system launched on September 2, 2025 with 13 votes, #826 of 8,160 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
This is a terminal tool that transforms local files into structured research reports. Users point it at PDFs, documents, images, or text files, and the tool extracts content, performs semantic search, and generates markdown reports organized by topic. It works on papers, long reports, and scanned documents. Designed for researchers and knowledge workers who need to quickly analyze and synthesize information from their own file collections without relying on internet-based services.
written from the facts on this page · September 2026
From the sources
Deep research tool for local knowledge base. Contribute to Oqura-ai/deepdoc development by creating an account on GitHub.
Oqura's deepdoc is a tool that performs deep research on your local resources instead of the internet. It uses a research-style workflow to explore your documents, organize the findings, and generate a clear markdown report. This way, you can quickly uncover insights from your own files without manually digging through them. This diagram shows how Local DeepResearcher takes your local resources and instructions, processes and analyzes the content, and turns it into a structured report. uv is required to manage the virtual environment and dependencies. You can download it from the official uv GitHub repository , which includes platform-specific installation instructions. git clone…from github.com
In the maker’s words, at launch
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…
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