Open Deep Research is a configurable, fully open-source agent for producing detailed research reports from complex questions. It separates work across models used for summarization, active research, information compression, and final report generation. Users can select from multiple language model providers as long as the chosen models support tool calling and structured outputs. Search can be powered by several APIs, native provider search, or external tools connected through MCP. The agent runs on LangGraph and can be explored locally through LangGraph Studio, an API, and generated API documentation. Environment settings control model choices, search services, MCP servers, and other research behavior. The repository also includes evaluation scripts for Deep Research Bench, enabling reproducible comparisons across difficult multilingual tasks.

Features

  • Configurable multi-stage research workflow
  • Multiple language model providers
  • Search API and native web search support
  • Full MCP server compatibility
  • LangGraph Studio and API access
  • Deep Research Bench evaluation tools

Project Samples

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Categories

Research

License

MIT License

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Additional Project Details

Operating Systems

Windows

Programming Language

Python

Related Categories

Python Research Software

Registered

4 days ago