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(Supports DeepSeek R1) An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models.

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Deep Research Web UI

[English | 中文]

This is a web UI for https://github.com/dzhng/deep-research, with several improvements and fixes.

Features:

  • 🚀 Safe & Secure: Everything (config, API requests, ...) stays in your browser locally
  • 🕙 Realtime feedback: Stream AI responses and reflect on the UI in real-time
  • 🌳 Search visualization: Shows the research process using a tree structure. Supports searching in different languages
  • 📄 Export as PDF: Export the final research report as Markdown / PDF
  • 🤖 Supports more models: Uses plain prompts instead of newer, less widely supported features like Structured Outputs. This ensures to work with more providers that haven't caught up with the latest OpenAI capabilities.
  • 🐳 Docker support: Deploy in your environment in one-line command

Currently available providers:

  • AI: OpenAI compatible, DeepSeek, OpenRouter, Ollama
  • Web Search: Tavily (1000 free credits / month), Firecrawl

Please give a 🌟 Star if you like this project!

showcase-25.02.16-v1.1.0.mp4

Recent updates

25/02/17

  • Added: set rate limits for web search
  • Added: set context length for AI model

25/02/16

  • Refactored the search visualization using VueFlow
  • Style & bug fixes

25/02/15

  • Added AI providers DeepSeek, OpenRouter and Ollama; Added web search provider Firecrawl
  • Supported checking project updates
  • Supported regenerating reports
  • General fixes

25/02/14

  • Supported reasoning models like DeepSeek R1
  • Improved compatibility with more models & error handling

25/02/13

  • Significantly reduced bundle size
  • Supported searching in different languages
  • Added Docker support
  • Fixed "export as PDF" issues

How to use

Live demo: https://deep-research.ataw.top

Self hosted

One-click deploy with EdgeOne Pages:

Deploy with EdgeOne Pages

Use pre-built Docker image:

docker run -p 3000:3000 --name deep-research-web -d anotia/deep-research-web:latest

Use self-built Docker image:

git clone https://github.com/AnotiaWang/deep-research-web-ui
cd deep-research-web-ui
docker build -t deep-research-web .
docker run -p 3000:3000 --name deep-research-web -d deep-research-web

Developing

Setup

Make sure to install dependencies:

pnpm install

Development Server

Start the development server on http://localhost:3000:

pnpm dev

Production

Build the application for production:

If you want to deploy a SSR application:

pnpm build

If you want to deploy a static, SSG application:

pnpm generate

Locally preview production build:

pnpm preview

Check out the deployment documentation for more information.

License

MIT

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(Supports DeepSeek R1) An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models.

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