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.
Install
No clear install command was found in the current repository evidence.
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.
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.
Security Signals
Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.
package.json declares 2 runtime, 0 development, 1 peer, and 0 optional dependencies.
package.json declares DSH bundle metadata.
GitHub reports the repository license as MIT.
A root package.json was captured and can be inspected by the registry.
Public GitHub source metadata is available for this registry snapshot.
Source & Registry Notes
Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.
- 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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