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LearningCircuit (Open Source)•May 3, 2026
Local Deep Research
Paid
Research Assistant
Local LLM
Privacy
RAG
Ollama
Open Source
Encrypted
### TL;DR
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 Insights & Metrics
Pricing
Free (Open Source)
Cost structure
Version
latest
Current release version
Hardware
Any OS (Windows, macOS, Linux); Docker or pip; GPU optional (Ollama supports CPU)
Compute requirements
Category
Paid
Licensing model
Region
Global
Primary region
Key Features
- ~95% on SimpleQA benchmark with autonomous LangGraph agent mode that adaptively switches search engines based on what it finds
- Searchable encrypted knowledge base: auto-downloads sources into AES-256 SQLCipher per-user databases; knowledge compounds over time across sessions
- 10+ 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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