Local Deep Research

Local Deep Research is an agent app that runs multi-step research across the web, academic papers, and your own documents for people who want privacy and control.

What it is good for

  • Writing a research report with citations from web and academic sources
  • Searching arXiv and PubMed for papers on a topic
  • Asking questions across your own private documents and files
  • Running research with a local AI model so data stays on your machine

At a glance

Who it is for
Setup
Guided command-line setup

Level 4 of 5. You copy and paste commands into a terminal by following the instructions. Comfortable territory for vibe coders.

Cost
Free and open source
Type
Agent app
Tasks
Works with
Ollama, SearXNG, arXiv, PubMed, Docker

Momentum

Rank this week
Not ranked yet
Best rank
None yet
GitHub stars
9,480

GitHub numbers as of Nov 2, 2026. Updated weekly.

9,060 9,286 9,511 Sep 24, 2026 Nov 2, 2026
GitHub stars for Local Deep Research: 9,091 on Sep 24, 2026, 9,480 on Nov 2, 2026. Source: GitHub.

Official links

Setup steps are on the official pages. We do not repeat them here, since they change.

Questions

Is Local Deep Research free?
Yes. It is free and open source (MIT license).
Do I need to know how to code to use Local Deep Research?
You do not need to write code, but setup means copying and pasting commands into a terminal by following its instructions.
What does Local Deep Research work with?
According to its own documentation, it works with Ollama, SearXNG, arXiv, PubMed, and Docker.
What is Local Deep Research good for?
Writing a research report with citations from web and academic sources, searching arXiv and PubMed for papers on a topic, asking questions across your own private documents and files, and running research with a local AI model so data stays on your machine.

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Last updated Nov 2, 2026. Tracked since Oct 28, 2026. The summary was written by an AI model from the project's own description and checked against our copy rules. Spotted an error? Tell us.