local-deep-research

by LearningCircuit · AI 工具 · ★ 9.1k

About local-deep-research

Local Deep Research [![OpenSSF Scorecard](https://api.securityscorecards.dev/p

academiaanthropicarxivbravedeep-researchencryptionhome-automationhomeserverlocallocal-deep-research

Quick Facts

Stars9,056
Forks808
LanguagePython
CategoryAI 工具
LicenseMIT
Quality Score63.3147337301187/100
Open Issues829
Last Updated2026-09-08
Created2025-02-09
Platformspython
Est. Tokens~20k

Compatible Skills

These tools work well together with local-deep-research for enhanced workflows:

  • arxiv-mcp-server — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • gpt-researcher — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • paperbanana — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)

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Frequently Asked Questions

What is local-deep-research?

local-deep-research 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 & Encryp. It is categorized as a AI 工具 with 9.1k GitHub stars.

What programming language is local-deep-research written in?

local-deep-research is primarily written in Python. It covers topics such as academia, anthropic, arxiv.

How do I install or use local-deep-research?

You can find installation instructions and usage details in the local-deep-research GitHub repository at github.com/LearningCircuit/local-deep-research. The project has 9.1k stars and 808 forks, indicating an active community.

What license does local-deep-research use?

local-deep-research is released under the MIT license, making it free to use and modify according to the license terms.

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