Native DeepSeek Harness (dsh) research workspace for supervised computational research — keeps runs, evidence and TeX manuscripts in one recoverable, auditable project.
DSH integration
Native runtime
Author-claimed
Safety audit
Unaudited
Last verified
2026-09-05
License
BSD-3-Clause
01What can it help you accomplish?
Run supervised computational-research workflows inside one recoverable project
Project conversations, research materials, code and data, controlled experiment runs, evidence, and TeX manuscripts kept in a single recoverable project
Researchers doing computational / scientific research who want all materials and results in one recoverable, reviewable project
Keep research methodology auditable and revision-bound across stages
Scope, Idea, Contract, Evidence, Direction, and Release decisions recorded as durable, auditable research state with claim-to-evidence links
Research teams needing explicit, revision-bound decisions and traceable methodology rather than ad-hoc notes
02How to install into DeepSeek Harness
Not specified by the author
03DSH integration and capability boundaries
Native DeepSeek Harness (dsh) research workspace — keeps project conversations, runs, evidence and TeX manuscripts in one recoverable project.
Stage-aware research guidance
natural conversation, Grill Me intake, file upload, visual-model input, slash commands→an authoritative next-step prompt for the current research stage
Governed research workflow
research decisions across stages→explicit, revision-bound, auditable Scope / Idea / Contract / Evidence / Direction / Release decisions
Controlled execution
Runner Profiles→local, local-Docker, or remote-SSH execution environments with pinned container images and declared NVIDIA GPU capability
Runner Profiles can target local, local-Docker, or remote-SSH environments, including NVIDIA GPUIntegrated workspace
project-scoped Chat, files, Web terminals, run logs, TeX source→shared context with artifacts, compilation diagnostics, and PDF preview
04Who is it for? When not to use it?
Good for
- Researchers doing computational / scientific research who want all materials and results in one recoverable, reviewable project
- Research teams needing explicit, revision-bound decisions and traceable methodology rather than ad-hoc notes
Not for
- DSH Scholar is still under active development. Use it only for supervised computational-research workflows, review every approval and research claim, and keep independent backups of important source material and results.
- DSH Scholar assists researchers but does not assume responsibility for scientific judgment, approval, authorship, or publication.
05Compatibility, maintenance and safety notes
- DSH Scholar is still under active development. Use it only for supervised computational-research workflows, review every approval and research claim, and keep independent backups of important source material and results.
- DSH Scholar assists researchers but does not assume responsibility for scientific judgment, approval, authorship, or publication.
BSD-3-Clause · under active development (README: still under active development); curated
06Frequently asked questions
What is DSH Scholar?
An AI research workspace for computational research that keeps project conversations, research materials, code and data, controlled experiment runs, evidence, and TeX manuscripts in one recoverable project. You can start from a new question or continue work that already exists elsewhere.
How does DSH Scholar keep research auditable?
Scope, Idea, Contract, Evidence, Direction, and Release decisions stay explicit, revision-bound, and auditable; protocol revisions, run classifications, synthesis requests, assurance results, reviewer findings, knowledge-pack activation, and claim-to-evidence links are recorded as durable research state.
What execution environments does it support?
Runner Profiles describe local, local-Docker, or remote-SSH environments, including pinned container images and declared NVIDIA GPU capability.
Is DSH Scholar safe to use unsupervised?
No — it is still under active development. Use it only for supervised computational-research workflows, review every approval and research claim, and keep independent backups of important source material and results.
Does DSH Scholar take responsibility for research outcomes?
No. It assists researchers but does not assume responsibility for scientific judgment, approval, authorship, or publication.
07Related DSH workflows
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A long-form Chinese web-novel writing assistant for Claude Code and DeepSeek Harness, designed to reduce memory loss and hallucinations in serialized projects of up to 2 million characters.
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08Data and sources
DSH Scholar is an AI research workspace for computational research.
It keeps project conversations, research materials, code and data, controlled experiment runs, evidence, and TeX manuscr…
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-09-05. Found an error? Submit a correction.
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