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LearningCircuit
local-deep-research
Python2025–2025
LearningCircuit / local-deep-research

local-deep-research

~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.

4Distinct people
7Mentions
1Explicit recommenders
9.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

I love this one: https://github.com/LearningCircuit/local-deep-research I tied it together with qwen3 30b thinking. Very easy to get it up and running, but lots of the numbers…

incomingpain used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 7:24:48 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month7 dated mentions

Observed mentions: 2025-02-20 15:10:50 UTC to 2025-11-03 14:15:02 UTC.

012342025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsFeb 20252025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJun 20252025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsNov 2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC101
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC413
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC101
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC000
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC000
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC000
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC101

What Hacker News says

1 sources
Local Deep Research is an open-source tool that enables deep, iterative research using AI without sending your queries to external services. It combines language models with specialized search capabilities to conduct multi-stage research that builds on initial findings. Key capabilities include: Discovering connections between sources that simple search misses Producing structured reports with proper citations, not just collected snippets Integrating your personal document library as a research source Cross-referencing your documents with web sources in a single research flow Easily switching between search engines including PubMed, arXiv, and SearXNG Working entirely offline with local LLMs (via Ollama) SearXNG integration is particularly powerful as it provides a high-quality, privacy-focused search experience without requiring API keys
Read the rest
. The 0.2.0 release adds a redesigned UI, unified settings database, parallel search for faster results, and improved error recovery. With over 600 commits and 5 core contributors, the project is actively growing, and we're looking for more contributors to join the effort. Getting involved is straightforward even for those new to the codebase. More details: https://www.reddit.com/r/LocalDeepResearch/ GitHub: https://github.com/LearningCircuit/local-deep-research
In Local Deep Research 0.2.0: AI-powered research assistant SearXNG, ArXiv, PubMed

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