Open source deep-research projects
Every project in the registry tagged deep-research, ranked by real GitHub adoption.
~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
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Enterprise workplace AI with data you own and control
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
A skill for AI agents: search the web with SearXNG, browse with Camofox, bypass protections with CloakBrowser. Anti-hallucination by design. Self-hosted, free,
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Frequently asked questions
How many open source deep-research projects are there?
This registry tracks 5 projects tagged deep-research, with 25,599 GitHub stars between them. The most-adopted is local-deep-research at 9,478 stars.
Are these deep-research projects free to use?
Yes — 5 of the 5 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?
5 of the 5 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.