Deep Research

Deep Research

Lightning-Fast Deep Research Report

Deep Research uses a variety of powerful AI models to generate in-depth research reports in just a few minutes. It leverages advanced "Thinking" and "Task" models, combined with an internet connection, to provide fast and insightful analysis on a variety of topics. Your privacy is paramount - all data is processed and stored locally.

✨ Features

• Rapid Deep Research: Generates comprehensive research reports in about 2 minutes, significantly accelerating your research process.
• Multi-platform Support: Supports rapid deployment to Vercel, Cloudflare and other platforms.
• Powered by AI: Utilizes the advanced AI models for accurate and insightful analysis.
• Privacy-Focused: Your data remains private and secure, as all data is stored locally on your browser.
• Support for Multi-LLM: Supports a variety of mainstream large language models, including Gemini, OpenAI, Anthropic, Deepseek, Atlas Cloud, Grok, Mistral, Azure OpenAI, any OpenAI Compatible LLMs, OpenRouter, Ollama, etc.
• Support Web Search: Supports search engines such as Searxng, Tavily, Firecrawl, fastCRW, Exa, Bocha, Brave, etc., allowing LLMs that do not support search to use the web search function more conveniently.
• Thinking & Task Models: Employs sophisticated "Thinking" and "Task" models to balance depth and speed, ensuring high-quality results quickly. Support switching research models.
• Support Further Research: You can refine or adjust the research content at any stage of the project and support re-research from that stage.
• Local Knowledge Base: Supports uploading and processing text, Office, PDF and other resource files to generate local knowledge base.
• Artifact: Supports editing of research content, with two editing modes: WYSIWYM and Markdown. It is possible to adjust the reading level, article length and full text translation.
• Knowledge Graph: It supports one-click generation of knowledge graph, allowing you to have a systematic understanding of the report content.
• Research History: Support preservation of research history, you can review previous research results at any time and conduct in-depth research again.
• Local & Server API Support: Offers flexibility with both local and server-side API calling options to suit your needs.
• Support for SaaS and MCP: You can use this project as a deep research service (SaaS) through the SSE API, or use it in other AI services through MCP service.
• Support PWA: With Progressive Web App (PWA) technology, you can use the project like a software.
• Support Multi-Key payload: Support Multi-Key payload to improve API response efficiency.
• Multi-language Support: English, 简体中文, Español.
• Built with Modern Technologies: Developed using Next.js 15 and Shadcn UI, ensuring a modern, performant, and visually appealing user experience.
• MIT Licensed: Open-source and freely available for personal and commercial use under the MIT License.

🎯 Roadmap

• Support preservation of research history
• Support editing final report and search results
• Support for other LLM models
• Support file upload and local knowledge base
• Support SSE API and MCP server

🚀 Getting Started

Use Free Gemini (recommend)

1. Get Gemini API Key
2. One-click deployment of the project, you can choose to deploy to Vercel or Cloudflare