Native DSH workflow orchestration.
DSH integration
Native runtime
Author-claimed
Safety audit
Unaudited
Last verified
2026-09-25
License
MIT
01What can it help you accomplish?
Create visual DSH workflow DAGs from natural-language requests.
Native DSH workflow orchestration.
DeepSeek Harness users.
02How to install into DeepSeek Harness
Installation steps
- 01
$ dsh plugin --profile web add dsh-harness-one
Verify the integration
Not specified by the author
03DSH integration and capability boundaries
04Who is it for? When not to use it?
Good for
- DeepSeek Harness users.
Not for
- Workflow data is stored per workspace and artifacts remain local files.
05Compatibility, maintenance and safety notes
- Workflow data is stored per workspace and artifacts remain local files.
README-backed author claims; not independently safety audited.
06Frequently asked questions
What does it provide?
Create visual DSH workflow DAGs from natural-language requests.
How is it installed?
Use the documented install command.
What is the documented starting point?
The documented starting point is: dsh plugin --profile web add dsh-harness-one
07Related DSH workflows
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openviking
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Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
nocobase
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NocoBase is an open-source AI + no-code platform for building business systems fast. Instead of generating everything from scratch, AI works on top of production-proven infrastructure and a WYSIWYG no-code interface, so you get both speed and reliability.
learn-harness-engineering
by walkinglabs
Harness engineering beginner tutorial, from 0 to 1
08Data and sources
`Workflow One` 是运行在 [DeepSeek Harness（dsh）](https://github.com/deepseek-ai/deepseek-harness) 中的可视化 AI 工作流编排器。
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-09-25. Found an error? Submit a correction.
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