Local Deep Research
An AI-powered research assistant that performs deep, agentic research using multiple LLMs and search engines with full local deployment and encryption.
What is Local Deep Research?
Local Deep Research is an AI-powered research assistant that automates deep, multi-source investigation and builds a personal, encrypted knowledge base. It solves the problem of time-consuming manual research by automatically searching academic papers, web sources, and private documents, then synthesizing findings into coherent reports with citations. The project emphasizes privacy, allowing everything to run locally with encrypted data storage.
Researchers, academics, journalists, and developers who need to perform thorough, cited research on complex topics while maintaining data privacy and control. It's also suitable for enterprises wanting to integrate AI research capabilities with their existing knowledge bases.
Developers choose Local Deep Research for its strong privacy guarantees, local deployment options, and flexibility in LLM and search engine selection. Its unique selling point is the combination of agentic research automation with a fully encrypted, user-owned knowledge base that compounds research over time.
Overview
Local Deep Research achieves ~95% on SimpleQA benchmark (tested with GPT-4.1-mini). Supports local and cloud LLMs (Ollama, Google, Anthropic, ...). Searches 10+ sources - arXiv, PubMed, web, and your private documents. Everything Local & Encrypted.
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