Open source deep-research projects

Every project in the registry tagged deep-research, ranked by real GitHub adoption.

projects 3 combined stars ★ 21K refresh nightly
01 local-deep-research ★ 9.1K

~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 pri

last push63 minutes ago languagePython licenseMIT
02 deep-searcher ★ 8.3K

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

last push10 months ago languagePython licenseApache-2.0
03 Sidekick ★ 3.3K

A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing

last push4 months ago languageSwift licenseMIT

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Frequently asked questions

How many open source deep-research projects are there?

This registry tracks 3 projects tagged deep-research, with 20,686 GitHub stars between them. The most-adopted is local-deep-research at 9,103 stars.

Are these deep-research projects free to use?

Yes — 3 of the 3 carry an explicit open-source licence across 2 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.

Which deep-research project should I choose?

The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.

Are these deep-research projects still maintained?

1 of the 3 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.