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LearningCircuit (Open Source)·May 3, 2026·latest·research

Local Deep Research

Local Deep Research is a privacy-first AI research assistant that runs entirely on your machine, achieving ~95% on the SimpleQA benchmark. It supports local and cloud LLMs (Ollama, Google, Anthropic, and more), searches 10+ sources including arXiv, PubMed, and the web, and indexes your own private documents in an encrypted local database. Everything stays local and encrypted with AES-256.

Research AssistantLocal LLMPrivacyRAGOllamaOpen SourceEncrypted
overview

Local Deep Research is a privacy-first AI research assistant that runs entirely on your machine, achieving ~95% on the SimpleQA benchmark. It supports local and cloud LLMs (Ollama, Google, Anthropic, and more), searches 10+ sources including arXiv, PubMed, and the web, and indexes your own private documents in an encrypted local database. Everything stays local and encrypted with AES-256.

key features
  • 01~95% on SimpleQA benchmark with autonomous LangGraph agent mode that adaptively switches search engines based on what it finds
  • 02Searchable encrypted knowledge base: auto-downloads sources into AES-256 SQLCipher per-user databases; knowledge compounds over time across sessions
  • 0310+ search sources including arXiv, PubMed, Semantic Scholar, and web; fully local deployment via Docker or pip with no data leaving your machine
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