Deep-research

what is Open Deep Research? Open Deep Research is an AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and Gemini large language models. It is designed to refine research direction over time and provide comprehensive insights. how to use Open Deep Research? To use Open Deep Research, you can either integrate it as a Model Context Protocol (MCP) tool for AI agents or run it standalone via the command line interface (CLI). You need to set up the environment variables and install the necessary dependencies before starting the server. key features of Open Deep Research? MCP Integration for seamless AI agent usage Iterative research capabilities Intelligent query generation using Gemini LLMs Configurable depth and breadth parameters for research Smart follow-up question generation Comprehensive markdown report generation Concurrent processing of multiple searches use cases of Open Deep Research? Conducting in-depth research on emerging technologies Generating detailed reports for academic papers Assisting AI agents in gathering information on specific topics FAQ from Open Deep Research? What is the purpose of Open Deep Research? It aims to provide a simple implementation of a deep research agent that can refine its research direction over time. What are the requirements to run Open Deep Research? You need a Node.js environment and API keys for Firecrawl and Gemini. Can I use Open Deep Research without MCP? Yes, it can be used standalone via the CLI.

As an MCP (Model Context Protocol) server, Deep-research enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use Open Deep Research, you can either integrate it as a Model Context Protocol (MCP) tool for AI agents or run it standalone via the command line interface (CLI). You need to set up the environment variables and install the necessary dependencies before starting the server. key features of Open Deep Research? MCP Integration for seamless AI agent usage Iterative research capabilities Intelligent query generation using Gemini LLMs Configurable depth and breadth parameters for research Smart follow-up question generation Comprehensive markdown report generation Concurrent processing of multiple searches use cases of Open Deep Research? Conducting in-depth research on emerging technologies Generating detailed reports for academic papers Assisting AI agents in gathering information on specific topics FAQ from Open Deep Research? What is the purpose of Open Deep Research? It aims to provide a simple implementation of a deep research agent that can refine its research direction over time. What are the requirements to run Open Deep Research? You need a Node.js environment and API keys for Firecrawl and Gemini. Can I use Open Deep Research without MCP? Yes, it can be used standalone via the CLI.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.