As an MIT protocol open source project, Deep Research provides complete technology stack autonomy. Its architecture is designed using a modular model , the core searchAgent, crawlerEngine and reportGenerator components can be replaced independently . Developers are free to access different LLM back-end (such as GPT-4/Claude , etc.) , or replace the search engine module to support Bing/DuckDuckGo and other alternatives. The project's .env configuration system supports 18 adjustable parameters , from the crawler delay settings to the results filtering threshold can be precisely controlled .
The open source community has spawned several featured branches, including Scholar Edition, which supports academic literature search, and Analytics Edition, which integrates visual analytics. Compared to the cost of $50+ per month for commercial research tools, the open-source build solution only requires API call costs. The project documentation describes the custom development process in detail, including guidelines for advanced modifications such as adding new information source interfaces and modifying research strategy algorithms.
This answer comes from the articleDeep Research: an AI-based deep research assistant that provides efficient research tools and report generation capabilitiesThe
