Project Description: Open Deep Research Web UI
What is the project about?
The project is a modern, interactive web interface for the Deep Research CLI, an AI-powered research assistant. It provides a user-friendly way to conduct in-depth research on any topic.
What problem does it solve?
It transforms the command-line research tool into an intuitive, visually appealing, and accessible web application, making the powerful research capabilities available to a wider audience without requiring command-line expertise. It solves the problem of complex research by automating the process of generating search queries, exploring topics in depth, and compiling findings into a report.
What are the features of the project?
- Intelligent Research Process: Iterative research, LLM-powered query generation, follow-up questions, parallel processing of searches, and configurable depth/breadth.
- Research Output: Detailed markdown reports, real-time progress tracking, built-in markdown viewer, and downloadable reports.
- Modern Interface: Interactive controls, visual feedback, and HTTP-only cookie storage for API keys.
What are the technologies used in the project?
- Next.js
- shadcn/ui
- OpenAI API (for language models)
- FireCrawl API (for search)
- Vercel AI SDK
- Node.js
What are the benefits of the project?
- Provides a user-friendly web interface for a powerful research tool.
- Automates and streamlines the research process.
- Offers real-time progress tracking and interactive controls.
- Generates comprehensive reports with sources.
- Securely handles API keys.
What are the use cases of the project?
- Academic research
- Market research
- Content creation
- General knowledge gathering on any topic
- Any situation requiring in-depth information gathering and analysis.
