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Apps and SaaS

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.

Our verdict

Not reviewed yet

We have not reviewed Local Deep Research yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Local Deep Research

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

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

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

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

Key facts

What we have checked

Days since the last commit
0
Checked GitHub
GitHub forks
886
Checked GitHub
GitHub stars
9,417
Checked GitHub
Open issues
1,042
Checked GitHub
Releases in the last 90 days
8
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Health and security

Is Local Deep Research looked after, and what do its setup files show

Health score

75 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 0 days ago
Releases15 of 158 releases in 90 days
Issue repliesNot countedThe latest check has no issue response reading (fewer than 3 measured issues, or issues switched off)
Maintainer0 of 15Owned by a single user
Official sourceNot countedMCP servers only

Alternatives

Alternatives to Local Deep Research

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ElicitAlternative to thisAppNamed in the listingNot dated
geneiAlternative to thisAppNamed in the listingNot dated
NotebookLMAlternative to thisAppNamed in the listingNot dated
PerplexityAlternative to thisAppNamed in the listingNot dated
pminervini/deep-research-mcpAlternative to thisMCP serverNamed in the listingNot dated
reading-plus-ai/mcp-server-deep-researchAlternative to thisMCP serverNamed in the listingNot dated
STORMAlternative to thisAppNamed in the listingNot dated

Compare

Compare Local Deep Research side by side

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

Pairs with

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