Feynman
Researches a question across paper databases and writes a brief with citations
by Companion, Inc.
Local Deep Research
by LearningCircuitAgentResearch something
Researches a question across the web, papers and your own files and writes a cited report
About Local Deep Research
Local Deep Research is an open source research assistant you run on your own computer and use in the browser. You ask a question; it searches the web, papers and your files, then writes a cited summary or report.
For Students and researchersPeople who prefer local AIAnyone writing cited reports
Made by LearningCircuit
An open-source project published on GitHub under the account LearningCircuit, which names no person or company. It is released under the MIT licence.
- Stars
- ★ 9.5k
- License
- MIT
- Cost
- Free
- Platforms
- Mac · Win · Linux
- Level
- Advanced
Overview
Local Deep Research is a research assistant you run on your own computer and use in the browser. You ask a question; it decides what to search across web, academic and local sources, then writes a quick summary, a detailed analysis or a full report with citations. It can save the sources it finds into an encrypted personal library and search your own documents next time. It suits students, researchers and anyone who wants deep research with local models.
A local model can do the thinking on your own hardware, and each user's data stays in an encrypted database with no telemetry.
Try these first
Start with the first one: it is a small task you can check easily.
- Quick summary: [a question you already know the answer to]. List every source you used.First try · searches the web
- Write a detailed report on [topic] using arXiv and PubMed, with a table of contents.searches the web
- With the scope set to Private only, ask: what do my saved papers say about [topic]?
- Subscribe to [topic] with a weekly schedule and summarise only new developments.runs on a schedule
Example prompts written by Agent Flows Hub.
Features
From the creator's documentation.
| Feature | What it does | Runs |
|---|---|---|
| Research modes | Quick summary, detailed research and full reports with sections and citations | Your chosen model |
| Search sources | Web, arXiv, PubMed, Semantic Scholar, Wikipedia and more; paid engines are optional | Internet |
| Personal library | Save found sources to an encrypted library and search your own documents | Your computer |
| Privacy scopes | Choose per run whether public engines and cloud models may be used | Your computer |
| Export and history | Download results as PDF or Markdown and revisit past research | Your computer |
| News digests | Scheduled research on topics you subscribe to | Internet |
Good to know
Ask a research question in the browser and choose a quick summary or a full report. It searches the sources you allow, then writes an answer with citations you can open and check.
Limits
- You must pick a model in Settings before the first run. A local model needs enough hardware; a cloud model sends your prompts to that provider.
- Web searches still go to the internet, even with a local model. Only the Private only scope limits a run to your own collections, and the README says it is not a hard boundary.
Notes by Agent Flows Hub (original project name: Local Deep Research (LDR)), written from the creator's documentation, not from running it ourselves. Local Deep Research README · Local Deep Research installation guide
Stuck setting it up?
Tell us what happened. We take a look first; if it needs paid work, you get an estimate before anything starts.
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