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dsh-knowledge-graph

DeepSeek Harness Cordis plugin that transforms text, PDFs, images, and session traces into interactive AI knowledge graphs with two-way source linking.

UI & ProductivityTerminal & TUIDeveloper Tools
1GitHub Stars0ForksUpdated2026-10-23

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Plugin Overview & Capabilities

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source-grounded
dsh-knowledge-graph is a comprehensive DeepSeek Harness (DSH) Cordis plugin designed to extract structured knowledge graphs from arbitrary text documents, searchable PDFs, images (diagrams/tables/charts), and agent execution traces. It features two-way anchoring between graph nodes and source content units, deterministic verification gates, multi-ontology support (including a standard proposition ontology and the Learning View ontology), SQLite persistence with lossless checkpoints, structured graph querying, and evidence-grounded GraphRAG Q&A.

Key Capabilities

  • Asynchronous AI knowledge extraction from text, PDFs, and multimodal images into typed nodes and relations
  • Bidirectional source-to-graph interactive highlighting and deterministic content unit anchoring
  • Conversation execution trace analysis to visualize agent thoughts, tool calls, and outputs as a knowledge graph
  • Interactive SVG graph visualization supporting force-directed, radial, circular, and relation-aware hierarchical layouts
  • Deterministic fast health checks, deep AI-assisted semantic verification, and one-click graph repairs with audit logging
  • Multi-ontology extraction modes including proposition-based schemas and the Learning View (learning-view-v1) ontology
  • Persistent storage and session checkpointing powered by Node SQLite with bounded keyset pagination
  • Evidence-grounded structured querying and citation-enforced GraphRAG question answering
  • Incremental graph extension and cross-segment relation weaving for multi-chunk documents

Useful For

  • Extracting concepts, rules, definitions, and claims from technical documentation and study notes
  • Visualizing and auditing agent workflow trajectories to debug reasoning steps and tool execution flows
  • Fact-checking and verifying source text grounding against external knowledge sources such as Wikipedia
  • Creating interconnected structured graph databases for GraphRAG evidence-based search and question answering

Who It Fits

  • DeepSeek Harness users and developers looking for visual knowledge base management
  • Researchers, technical writers, and students structuring large documents into concept maps
  • AI engineers auditing agent trace executions and intermediate reasoning chains

Documented Limitations

  • Scanned PDFs without searchable text layers require prior OCR conversion
  • Image-based knowledge extraction requires a vision-capable multimodal LLM provider
  • Dynamic in-process Cordis installations lose running memory state upon host restart unless configured as a resident package with SQLite persistence

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

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Dependency Counts

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

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

info
License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

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

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

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Source repository
cwbcheng/dsh-knowledge-graph
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
6be45fc · 2026-10-25

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
2026-10-23
Last release
No release detected
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