dsh-knowledge-graph
A DeepSeek Harness Cordis plugin that turns source text and session traces into AI-generated, evidence-linked knowledge graphs.
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
- Extracts facts, inferences, concepts, definitions, examples, counter-examples, and rules into a knowledge graph.
- Creates typed relationships including support, example, definition, inference, and causality links.
- Supports two-way navigation between graph nodes and source paragraphs or serialized conversation events.
- Provides force-directed, circular, radial, and hierarchical SVG graph layouts.
- Supports incremental extraction and merging of additional source material or new session events.
- Runs local quick checks and LLM-based graph review with source-evidence requirements.
- Lets users question nodes, edges, or an entire graph, then accept, ignore, or batch-apply proposed fixes with an audit log.
- Stores recent graph history and UI layout preferences in browser localStorage.
- Can be deployed dynamically through Cordis or persistently as a DSH Web profile bundle.
Useful For
- Turn technical documentation, study notes, or chapters into navigable knowledge graphs.
- Review whether an AI-generated graph is grounded in its source text.
- Visualize what an agent learned, inferred, and did across a DSH conversation trace.
- Incrementally build a connected graph from multiple passages.
Who It Fits
- DeepSeek Harness users working with long-form source material.
- Researchers, students, and technical writers.
- Users inspecting or auditing agent conversation traces.
- Developers using Cordis plugins in DSH Web.
Documented Limitations
- Requires a running DSH Web environment and a configured AI model provider for extraction and AI review.
- Dynamic Cordis deployments disappear after the DSH process restarts unless installed as a persistent profile bundle.
- AI extraction and deep review are asynchronous and the README estimates graph generation at roughly 15–40 seconds.
- Source linking depends primarily on AI-supplied paragraph numbers; unresolved anchors are reported rather than guessed.
- History and interface preferences are stored in the browser's localStorage, with history limited to 20 entries.
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
- 7d5cb31 · 2026-09-26
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
- 2026-09-26
- Last release
- No release detected
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