Overview
Local Deep Research is your ultimate AI-powered research assistant, designed for deep, agentic exploration while prioritizing your privacy and data ownership. Perform sophisticated research locally, leveraging any Large Language Model (LLM) – from powerful cloud services to your own hardware-accelerated models like Qwen3.6-27B. Access over 10 specialized search engines, including academic powerhouses like arXiv and PubMed, plus your private documents, all within an encrypted, secure environment. Experience ~95% accuracy on the SimpleQA benchmark, ensuring robust and reliable research results.
Key Features
- Agentic Research Modes: Unleash autonomous agents capable of deciding search strategies, selecting specialized engines (arXiv, PubMed, Semantic Scholar), and synthesizing findings with proper citations.
- Local & Encrypted Knowledge Base: Build a private, searchable repository of your research. Download sources directly, and LDR indexes and embeds them into an AES-256 encrypted SQLCipher database, ensuring your data remains yours.
- Universal LLM Support: Seamlessly integrate with local LLMs via llama.cpp or Ollama, or connect to cloud-based models from Google and more.
- Extensive Search Capabilities: Go beyond web searches with integrated access to academic, technical, news, and historical archives, alongside the ability to index your own documents.
- Uncompromised Privacy: LDR features zero telemetry, no analytics, and no tracking. All network calls are user-initiated, and your data is securely stored in an isolated, encrypted database per user.
- Robust Security: Benefit from comprehensive security scanning (OpenSSF Scorecard, CodeQL, Semgrep), supply chain security features (Cosign signed Docker images, SBOMs), and a commitment to transparency in security assessments.
- Advanced Integrations: Connect with your existing knowledge bases via LangChain retrievers (FAISS, Chroma, Pinecone, etc.) and expose a secure REST API for programmatic access.
- Automated Research Digests: Subscribe to topics and receive AI-powered, AI-filtered research summaries delivered on customizable schedules.
Typical Use Cases
- Academic Researchers: Conduct in-depth literature reviews, discover new papers, and synthesize findings across vast academic databases and your personal research library.
- Developers & Engineers: Investigate complex technical problems, leverage documentation and code repositories, and build internal knowledge bases for your teams.
- Students: Master challenging subjects by performing thorough research with reliable sources and citations, organized within your secure personal data store.
- Privacy-Conscious Individuals: Explore any topic without sacrificing data privacy, knowing your research and personal documents remain encrypted and local.
- Knowledge Workers: Stay ahead of industry trends by setting up automated research digests on key topics, ensuring you receive curated, AI-summarized updates.
