Open Deep Research is an AI-powered web research agent that combines a reasoning model with live web search and data extraction to perform deep, multi-source investigations on any topic. It operates through a dual interface, offering both a command-line tool and a Model Context Protocol server, allowing developers to integrate web capabilities directly into AI agents and coding assistants.
The project distinguishes itself by orchestrating an iterative research loop where a reasoning model plans steps, interprets search results, and guides subsequent web interactions. It uses Firecrawl for scraping and extracting structured data from multiple pages simultaneously, converting content into LLM-ready formats like Markdown, JSON, or screenshots. Playwright-driven browser automation enables programmatic interaction with dynamic web pages, including clicking, typing, scrolling, and waiting for content to load.
Beyond research, the tool provides capabilities for parsing documents from URLs, extracting text from PDFs and DOCX files, and deploying a full research chatbot application to Vercel with one click, including database, file storage, and authentication.
