
deep-research-web-ui
(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.
Stars: 1387

This web UI tool is designed to enhance the user experience of the deep-research repository by providing a safe and secure environment for conducting AI research. It offers features such as real-time feedback, search visualization, export as PDF, support for various AI models, and Docker deployment. Users can interact with multiple AI providers and web search services, making research processes more efficient and accessible. The tool also includes recent updates that improve functionality and fix bugs, ensuring a seamless experience for users.
README:
[English | δΈζ]
This is a web UI for https://github.com/dzhng/deep-research, with several improvements and fixes.
Features:
- π Safe & Secure: Everything (config, API requests, ...) stays in your browser locally
- π Realtime feedback: Stream AI responses and reflect on the UI in real-time
- π³ Search visualization: Shows the research process using a tree structure. Supports searching in different languages
- π Export as PDF: Export the final research report as Markdown / PDF
- π€ 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.
- π³ Docker support: Deploy in your environment in one-line command
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 π Star if you like this project!
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
Live demo: https://deep-research.ataw.top
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
Make sure to install dependencies:
pnpm install
Start the development server on http://localhost:3000
:
pnpm dev
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.
MIT
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