Deep Research Web UI

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

Features:

Realtime feedback: Stream AI responses and reflect on the UI in real-time
Search visualization: Shows the research process using a tree structure
Export as PDF: Export the final research report as a PDF
Search in different languages: Useful when you want to get search results in a different language
Bring Your Own API Key: Everything (config, API requests, ...) happens in your browser
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.

Currently available providers:

AI: OpenAI compatible
Web Search: Tavily (similar to Firecrawl, but with more free quota (1000 credits / month))

Please give a 🌟 Star if you like this project!

How to use

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

Self hosted

One-click 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
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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