Deep Research Web UI：生成带引文的研究报告

AI deep-research agent that turns any question into a cited report: plans searches, reads real sources, verifies evidence. Self-hosted, m…

Deep Research Web UI [English | 中文] Deep Research Web UI turns a research question into a cited report: it plans searches, browses the web, verifies findings against real source pages, and lets you inspect and follow up on every citation — all from your browser, or self-hosted with your own API keys. Features: 🚀 Safe & Secure: In Client Mode, config and API requests stay 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 🔎 Evidence and follow-ups: Inspect source excerpts from report citations, then research a finding further and update related passages while keeping the original report in history 🎯 Focused search: Separate queries from time and source filters, check result relevance, and retry once with a revised query when evidence is insufficient 📖 On-demand full-page reading: Fetches full source pages to extract verbatim evidence when search snippets aren't enough, sharing a token/request budget across the whole research run Currently available providers: AI: OpenAI compatible, ApiSmart, SiliconFlow, DeepSeek, OpenRouter, Requesty, Ollama, LiteLLM and more Web Search: Tavily (1000 free credits / month), Firecrawl (cloud / self-hosted), fastCRW (cloud / self-hosted), Google PSE, You.com, Serply, Parallel (keyless, Server Mode only) Please give a 🌟 Star if you like this project! 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How to use Inspect evidence and follow up After a research finishes, click a [1]-style citation in the report, or click Inspect evidence and follow up. In the evidence panel, review each finding's source, retrieval time, and excerpt. A new excerpt is only saved once it's matched against retrieved content; search summaries and page text are labeled separately. A matched excerpt does not by itself prove the finding — read it in context. Enter what you want to verify, e.g. "Find the latest official pricing and confirm the eligibility terms," then click Follow up and update report. A follow-up searches at most two directions in one round, and updates only the Markdown blocks that cite that finding; tables and lists are updated as whole blocks. On success, the new evidence and updated report are saved as a separate history entry, leaving the original report unchanged. On failure, cancellation, or when no matching excerpt is found, the original report is preserved. This works in both Client Mode and Server Mode. Older history entries still load; findings without a saved excerpt are labeled accordingly. History is stored in your browser — export research you want to keep. Live demo: https://deep-research.ataw.top Deployment modes Client Mode: users enter their own API keys in the browser. This is the best fit for static deployments such as EdgeOne Pages or pnpm generate. Server Mode: API keys are configured as server-side environment variables, so users do not need to enter keys in the UI. This requires an SSR/Nitro runtime such as the Docker image; it is not available in purely static deployments. Self hosted Server Mode (Recommended) Deploy with environment variables - users don't need to configure API keys. Use this mode when you can run the Nuxt server: 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: # Copy .env.example and update it with your configuration cp .env.example .env 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. Use this mode for static deployments: 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_ACCESS_PASSWORD Optional password required to call the /api routes - NUXT_AI_API_KEY AI provider API key - NUXT_AI_API_BASE AI provider base URL - NUXT_WEB_SEARCH_API_KEY Web search API