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LearningCircuit/local-deep-research

An AI-powered research assistant for deep, agentic research, supporting local and cloud LLMs, multiple search sources, and ensuring data privacy with local, encrypted storage.

Core Features

Performs deep, agentic research using multiple LLMs.

Supports local and cloud Large Language Models (Ollama, Google, Anthropic).

Searches over 10 diverse sources including arXiv, PubMed, web, and private documents.

Ensures privacy and data ownership with local, encrypted storage (SQLCipher).

Achieves high accuracy (~95% on SimpleQA benchmark with GPT-4.1-mini).

Quick Start

pip install local-deep-research

Detailed Introduction

Local Deep Research is an AI-powered research assistant designed for in-depth, agentic investigations. It empowers users with full control over their research process, allowing local execution for enhanced privacy and data ownership. The platform integrates with various local and cloud Large Language Models (LLMs) like Ollama, Google, and Anthropic, and can query over ten diverse sources including academic databases, web, and personal documents. With a focus on security, all data is stored locally and encrypted, providing a transparent and auditable research environment.