local-deep-research vs SurfSense
Research assistants for web sources and local documents
local-deep-research and SurfSense both use AI to answer research questions with citations and generate useful materials. local-deep-research searches the web, academic services, and configured private documents, while SurfSense centers on indexing and working with documents on the user’s machine.
local-deep-research: Research Assistant for Local and Cloud LLMs
Local Deep Research runs agentic research across web, academic, and private document sources, then produces cited reports. It supports local and cloud LLMs, with encrypted per-user data and configurable controls over network access.
SurfSense: Research and Edit Documents with an AI Agent
SurfSense is a privacy-focused desktop app that helps you research, transform, and edit documents with an AI agent. Keep your document index on disk and choose a local or remote model; it suits people who need NotebookLM-style workflows with more control over their files.
| local-deep-research | SurfSense | |
|---|---|---|
| Language | Python | Python |
| License | MIT | — |
| Stars | 9.2k | 16.4k |
| Forks | 839 | 1.6k |
| Last analyzed | Oct 11, 2026 | Oct 12, 2026 |
Key differences
- local-deep-research combines live web and academic search with private-document retrieval; SurfSense focuses on searching locally indexed documents.
- local-deep-research offers cited summaries and reports with Markdown or PDF export; SurfSense lists a broader range of generated materials, including quizzes, slide decks, and podcasts.
- local-deep-research provides a web interface, Python and HTTP APIs, and an MCP server; SurfSense identifies its desktop app as the supported path for new users.
- local-deep-research supports local model-serving tools as well as cloud and compatible API providers; SurfSense offers bundled local components or an OpenAI-compatible API, and keeps outbound connections off by default.
- local-deep-research lists an MIT license; SurfSense metadata says NOASSERTION, while its README describes Apache-2.0, so check its license file.
Choose local-deep-research if you…
- need to combine web, academic, and configured private-document searches.
- want a research workflow with APIs or MCP integrations as well as a web interface.
- prefer a choice of local or cloud model providers and configurable research egress.
Choose SurfSense if you…
- want to query a locally indexed document collection and generate study or work materials from it.
- need outputs such as flashcards, quizzes, slide decks, or podcasts from selected sources.
- prefer a desktop-first workflow with outbound connections off by default.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.