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[Feature Request] Add "Low-Resource Mode" + Offline Academic Corpus for Students in Africa #3839

@adjetey0

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@adjetey0

Local Deep Research is excellent for privacy-first research, but the default setup assumes high-end hardware and reliable internet:

  1. GPU/RAM requirements: gpt-oss:20b + SearXNG + embeddings needs 16GB+ RAM. Most Ghanaian students run on 8GB laptops or older Chromebooks
  2. Internet dependency: SearXNG requires constant connection. Campus WiFi in Accra drops frequently, killing research sessions mid-way
  3. Academic paywalls: arXiv/PubMed are open, but students can’t access paywalled journals. No offline corpus for foundational CS/IT textbooks

This means students can’t actually use LDR for their final year projects without cloud credits.

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    enhancementImprovement to an existing feature. Release notes: ✨ New Features (priority 3/20).ldr_researchApply for substantive logic/architecture changes — when in doubt, add it. Runs full LDR research.

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