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local-deep-research
Python

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.

by LearningCircuit · GitHub
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academiaanthropicarxivMITPythonSelf-hostable
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Conduct research using multiple AI models and search engines while keeping your data private.

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9.0k8.6k
2026-07-042026-08-31
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~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.

local-deep-research has 9k stars on GitHub. It has been forked 798 times. local-deep-research is written mainly in Python. It has been in active development since 2025. local-deep-research is available under the MIT license. Its main topics are academia, anthropic, arxiv, brave.

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Frequently asked questions

What is 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.

Is local-deep-research open source?

local-deep-research is an open-source project. It is released under the MIT license.

Is local-deep-research free?

Yes. local-deep-research is free and open source — you can use, modify and self-host it.

What license does local-deep-research use?

local-deep-research is available under the MIT license.

What language is local-deep-research written in?

local-deep-research is written mainly in Python.

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