SurfSense (Privacy-Focused Research & Document Intelligence)

Based on MODSetter/SurfSense: an air-gapped, privacy-first, open-source NotebookLM alternative. It enables AI agents to research, transform, query, and edit extensive document collections, source notes, and technical literature completely offline or with private LLMs.

🎯 When to Use

• Deep Document Research: Synthesizing architectural patterns, API documentation, and reverse-engineering research notes across large repositories.
• Air-Gapped / Private Analysis: Querying sensitive proprietary specifications, leaked source archives, or internal security reports without external cloud exposure.
• Multi-Source Knowledge Synthesis: Blending Markdown notes, PDFs, web bookmarks, and transcripts into unified, cited technical summaries.

🚀 Setup & Execution

1. Local / Self-Hosted Setup

SurfSense can run entirely locally with Docker or Python: