Local Deep Research

Overview

Local Deep Research is a Python tool that achieves ~95% on SimpleQA using models like Qwen3.6-27B on a 3090. It supports all local and cloud LLMs (llama.cpp, Ollama, Google) and integrates 10+ search engines including arXiv, PubMed, and private documents. All processing is local and encrypted.

Best for

Best for
Researchers who need private, high-accuracy deep research with local control

Use cases

• Conduct literature reviews across arXiv and PubMed
• Analyze private documents with encrypted local processing
• Run deep research queries using any local or cloud LLM

Notes

Local Deep Research is a Python tool that achieves ~95% on SimpleQA using models like Qwen3.6-27B on a 3090. It supports all local and cloud LLMs (llama.cpp, Ollama, Google) and integrates 10+ search engines including arXiv, PubMed, and private documents. All processing is local and encrypted.

8,273 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

• Conduct literature reviews across arXiv and PubMed
• Analyze private documents with encrypted local processing
• Run deep research queries using any local or cloud LLM

Pros

• High accuracy on SimpleQA benchmark (~95%)
• Supports a wide range of LLMs and search engines
• Local and encrypted for privacy

Cons

• Requires a powerful GPU (e.g., 3090) for top performance
• Setup may be complex for non-technical users
• Resource-intensive for large-scale research

Indexed from awesome-generative-ai and enriched against its public facts.