dsh-deep-research: Adaptive Deep Research Plugin Based on Official Workflow
Maintained by omdsh-dev, dsh-deep-research is a DeepSeek Harness workflow-type plugin with the npm package name @dsh-external/dsh-deep-research. It is built on the official workflow engine and integrates built-in web_search and web_fetch functionalities. Utilizing control theory and information theory, it implements planning, parallel research, marginal gain stopping, and optional adversarial review, registering a deep_research tool for conversational triggering. This article introduces its core mechanisms, installation commands, tool parameters, and typical usage, while noting that profiles must include a workflows provider.
Read MoreUse dsh-deep-research to complement the adaptive deep research closed-loop for DeepSeek Harness
`dsh-deep-research` is a DeepSeek Harness workflow plugin maintained by `omdsh-dev`, which turns deep research into an adaptive closed loop: planning first defines the answer space, research stops based on information gain, synthesis retains uncertainty, and review is optional. This article checks the installation commands, tool parameters and precautions against the community directory page, GitHub README and source code.
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