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
• 🔧 Server Mode: Deploy with environment variables, no need for users to configure API keys

Currently available providers:

• AI: OpenAI compatible, SiliconFlow, Infiniai, DeepSeek, OpenRouter, Ollama and more
• Web Search: Tavily (1000 free credits / month), Firecrawl (cloud / self-hosted)

Please give a 🌟 Star if you like this project!

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Recent updates

25/07/24

• Added: Research history management - Export/import individual history records, delete all records

25/07/23

• Added: Server Mode - Deploy with environment variables, users don’t need to configure API keys

25/06/26

• Added: Provider 302.AI support

25/04/06

• Added: Use Google PSE for web search

25/03/09

• Added: InifiniAI support
• Improved LLM prompts
• Improved error handling
• Improved: Try to fetch model list even when no API key is provided

25/02/27

• Added: Citations in research report
• Improved: Chinese output layout
• Improved: Increased max width and breadth in the form
• Fixed: Text overflow issues for web search node details
• Fixed: general UI style issues

25/02/24

• Added: Fullscreen mode for the search flow. This helps you to focus on the search process better.
• Changed: “Export PDF” now uses the browser’s native print ability. This fixes layout issues and emilinates font problems.
• Fixed: “Context Size” setting are not correctly applied

25/02/22

• Added: NL/Dutch translation
• Added: Retry failed nodes in web search
• Fixed: Web search node sometimes shows empty label and duplicated learnings
• Fixed: Firecrawl now limits scrape content format to Markdown

25/02/18 - 25/02/20

• Added: “advanced search” and “search topic” support for Tavily
• Added: custom endpoint support for Firecrawl
• Fixed: overall bug fixes, less “invalid JSON structure” errors

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

Older updates

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

Server Mode (Recommended)

Deploy with environment variables - users don’t need to configure API keys:

Using Docker with environment variables:

docker run -p 3000:3000 \
  -e NUXT_PUBLIC_SERVER_MODE=true \
  -e NUXT_AI_API_KEY=your-ai-api-key \
  -e NUXT_WEB_SEARCH_API_KEY=your-search-api-key \
  -e NUXT_PUBLIC_AI_PROVIDER=openai-compatible \
  -e NUXT_PUBLIC_AI_MODEL=gpt-4o-mini \
  -e NUXT_PUBLIC_WEB_SEARCH_PROVIDER=tavily \
  anotia/deep-research-web:latest

Using Docker with .env file:

# Create .env file with your configuration
docker run -p 3000:3000 --env-file .env anotia/deep-research-web:latest

Client Mode (Traditional)

Users configure their own API keys in the browser:

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

Environment Variables

Server Mode Configuration

Variable	Description	Default
NUXT_PUBLIC_SERVER_MODE	Enable server mode	false
NUXT_AI_API_KEY	AI provider API key	-
NUXT_AI_API_BASE	AI provider base URL	-
NUXT_WEB_SEARCH_API_KEY	Web search API key	-
NUXT_WEB_SEARCH_API_BASE	Web search base URL	-

Public Configuration (Server Mode)

Variable	Description	Default
NUXT_PUBLIC_AI_PROVIDER	AI provider type	openai-compatible
NUXT_PUBLIC_AI_MODEL	AI model name	gpt-4o-mini
NUXT_PUBLIC_AI_CONTEXT_SIZE	Context size	128000
NUXT_PUBLIC_WEB_SEARCH_PROVIDER	Search provider	tavily
NUXT_PUBLIC_WEB_SEARCH_CONCURRENCY_LIMIT	Max concurrency	2
NUXT_PUBLIC_WEB_SEARCH_SEARCH_LANGUAGE	Search language	en
NUXT_PUBLIC_TAVILY_ADVANCED_SEARCH	Use Tavily advanced search	false
NUXT_PUBLIC_TAVILY_SEARCH_TOPIC	Tavily search topic	general
NUXT_PUBLIC_GOOGLE_PSE_ID	Google PSE ID	-

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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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