DSH Plugin | Data Knowledge for DeepSeek Harness Plugin
Free Data & Knowledge DSH Plugin for DeepSeek Harness: browse, search, download, install knowledge bases, data visualization. Verified, traceable sources.

DSH Plugin Hub is a community plugin marketplace for DeepSeek Harness (DSH plugin), built to the official plugin spec and embedded in Settings → Plugin Market. Browse, search and one-click install human-curated community plugins without leaving the app, synced daily with dsh-plugin.org.

MisakaNet is a zero-dependency, git-backed micro-lesson library that lets DSH plugin agents asynchronously share and search verified debugging experience to avoid repeating errors.

A DSH plugin that gives DeepSeek Harness cross-session long-term memory and background self-evolution: five-track memory, skill evolution, four-track todos and session orchestration, with zero core changes.

Model-driven context management for DeepSeek Harness: the LLM decides when and what to compress into high-fidelity summaries, with decompress and context search so long tasks survive hard truncation.

StrataGate gives DeepSeek Harness local-first layered memory: recent turns stay detailed while older ones condense into events and a knowledge graph, with original records expandable on demand.

Scientific Figure Library is a local-first DSH plugin that imports scientific figures with their code into an on-disk library, reviews and publishes immutable releases, then reuses the exact template across projects.

Native persistent memory for DeepSeek Harness: typed Markdown memory files with a MEMORY.md index auto-injected into the system prompt, so your agent remembers across sessions with no external services.

dsh-knowledge is a knowledge base & RAG plugin for DeepSeek Harness, offering document management, smart chunking, local embeddings, hybrid search, reranking, and a management panel—usable with zero config.

DeepRead is a DSH plugin that enables evidence-first deep reading for AI agents, turning articles, books, and PDFs into traceable claims, evidence, confidence levels, and knowledge maps.

A DSH plugin packaging the Chinese Traditional Wisdom (Xuan Shu) skill into a local-first consultation workflow, covering Bazi, Ziwei, Liuyao, Fengshui and more, with a visual Dashboard.

DSH Scholar is a DeepSeek Harness plugin that provides an integrated research workspace for computational research, combining project conversations, materials, code, experiments, evidence, and TeX manuscripts with governed execution and traceable methodology.

dsh-science is a research workbench for DeepSeek Harness, offering a ReAct research loop, versioned artifacts with provenance, an SSH/HPC remote compute engine, and 11 bioinformatics skills.

Read and subscribe to RSS/Atom feeds inside DeepSeek Harness, switch between original, translated and rewritten articles, and discuss the current article in the host's native AI conversation.

AI4Scholar delivers 38 native academic tools for DeepSeek Harness, covering Semantic Scholar, PubMed, Google Scholar, arXiv, with search, download, auto-cite, and scientific figure tools.

AI4Scholar delivers 38 native academic tools for DeepSeek Harness, covering Semantic Scholar, PubMed, Google Scholar, arXiv, with search, full-text, auto-cite and scientific figure tools.

dsh-zotero is a DSH plugin that turns your Zotero library into an evidence store, enabling agents to search papers, extract passages, open PDFs, and generate citations.

dsh-memory brings local-first long-term memory to DeepSeek Harness, combining Claude Code-style progressive disclosure with Codex-style session consolidation, storing memories in Markdown and distilling reusable insights.

OMK provides evidence-backed evaluation and observability for prompts, RAG, skills, and agents in DeepSeek Harness, enabling A/B comparison and release decisions.

Transparent rankings and recommendations for the DSH plugin ecosystem: automatically scrapes dsh-plugin repos, scores them with an open model, and offers ranking, search, recommendation, and trend tools.

Tizhuang is a DSH plugin offering a K12 question bank with free random questions, textbook/chapter/knowledge-point search, practice quizzes, and AI paper generation.
How to pick a trustworthy Data & Knowledge DSH plugin
A Data & Knowledge DSH plugin handles how information is fetched, organized and presented — knowledge bases, data visualization and research that move DSH from chatting to researching and presenting professional conclusions. Check data-source credibility, knowledge organization and compatibility status so conclusions stay traceable.
- Data sources: whether the plugin's data acquisition is transparent and traceable — avoid misleading conclusions built on untrusted data.
- Knowledge organization: whether it supports vector stores, graphs or structured knowledge bases whose recall fits your research or Q&A scenarios.
- Compatibility status: knowledge and visualization plugins depend on DSH's rendering and storage interfaces — prefer verified plugins whose dshTarget matches.
Where Data & Knowledge sits in the DSH taxonomy
Data & Knowledge is one of the eleven primary DeepSeek Harness categories, covering the full information pipeline: data ingestion, visualization, research and knowledge-base construction. It complements Memory & Context — memory tracks the agent's own persistent state, while Data & Knowledge manages external information assets. It is the category that moves DSH from chatting to researching and presenting professional conclusions.
「Every part of the product is a plugin — including the model adapter, the tool registry, the session log, and the agent loop itself.」
SourcesOfficial site·Architecture docs·Repository
Related Terms
- Data & Knowledge DSH Plugin
- A Data & Knowledge DSH Plugin manages DeepSeek Harness knowledge assets — knowledge bases, vector storage, data visualization, research reports and Q&A.— DeepSeek Harness architecture docs
- Knowledge base
- A knowledge base is a knowledge plugin's central management of domain material — docs, notes and data in one entry point for agents to retrieve and cite.— DeepSeek Harness architecture docs
- Vector storage
- Vector storage is a knowledge plugin's embedding and semantic retrieval of content — similar questions hit relevant passages, the foundation of knowledge Q&A.— DeepSeek Harness architecture docs
- Research report
- Research reports are a knowledge plugin's pipeline from retrieval to finished output — gathering sources, organizing structure and generating a report in one flow.— DeepSeek Harness architecture docs