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dsh-literature

Native literature management, PDF full-text search, and verified citations for DeepSeek Harness.

VisionDeveloper ToolsSecurity & PolicySkills & Workflows
1GitHub Stars0ForksUpdated2026-10-26

Install

$ dsh plugin --profile desktop add https://github.com/Lx23918/dsh-literature/releases/download/v0.4.0/dsh-literature-0.4.0.tgz

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-literature is an AGPL-licensed DeepSeek Harness plugin for managing, searching, and citing local academic papers. It indexes local PDFs using SQLite FTS5 with page- and word-level coordinates, integrates verified quotation tools with DSH native models, and enables BibTeX, BibLaTeX, and CSL JSON export without external reference managers like Zotero.

Key Capabilities

  • Local PDF library import with folder hierarchy and SHA hash deduplication
  • SQLite FTS5 full-text keyword search with physical page and word coordinate mapping
  • Verified quote extraction that links model responses to highlighted sentences in the PDF viewer
  • Manuscript and LaTeX checking against references and local bibliography files
  • Metadata enrichment via Crossref and arXiv with optional easyScholar journal metrics
  • BibTeX, BibLaTeX, and CSL JSON reference export with automated library syncing

Useful For

  • Reading and cross-referencing local academic PDFs directly within DeepSeek Harness chats
  • Verifying manuscript citations and claims against local reference papers and .bib files
  • Organizing research literature into nested categories and auto-generating BibTeX files

Who It Fits

  • Researchers and academics using DeepSeek Harness for literature review
  • Scientific authors verifying citations in LaTeX, Markdown, or text manuscripts
  • Students managing local collections of research papers

Documented Limitations

  • Requires external Python 3.10+ runtime with PyMuPDF installed
  • Supports keyword search only; does not provide vector or semantic embedding search
  • Lacks OCR capabilities for scanned documents without text layers
  • Constrained to a maximum of 50 MiB and 5,000 pages per PDF, and 10,000 PDFs per folder import batch
  • Verified against DSH 0.2.1-rc.2 baseline

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 3 runtime, 1 development, 2 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as AGPL-3.0.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Prepare Script Detected

package.json declares a prepare lifecycle script that may run during relevant package installation workflows.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
Lx23918/dsh-literature
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
71b9f64 · 2026-10-26

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
1GitHub stars
Forks
0
Open issues
0
Last commit
2026-10-26
Last release
2026-10-24
For maintainers

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