← DeepSeek Harness Plugins
DeepSeek Harness PluginManifest Valid

dsh-knit

Task-aware workspace context retrieval and preview for DeepSeek Harness sidebar and agents.

VisionUI & ProductivityDeveloper ToolsRemote Execution
41GitHub Stars0ForksUpdated2026-10-03

Install

$ dsh plugin --profile web add dsh-knit

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-knit is a zero-model, local-only DeepSeek Harness plugin that indexes workspace Markdown, images, and videos. It ranks files by relevance to the active conversation using deterministic BM25 keyword scoring, organizing them into primary, supporting, and related context layers. The ranked context is rendered in a dedicated sidebar panel with inline previews and exposed directly to agents via the knit_docs tool.

Key Capabilities

  • Deterministic local context ranking via BM25 and IDF scoring without external model calls or network dependencies
  • Three-tier task context grouping (Primary, Supporting, Related) with explainable matching reasons
  • Dedicated right sidebar UI with single-column layout, inline markdown preview, and reference link navigation
  • Media gallery view for workspace images and videos with inline thumbnail grids and HTTP Range media streaming
  • Agent tool `knit_docs` providing structured task-aware context packs and matching passages directly to the model
  • Deterministic usage tracking and epoch audit to verify agent read actions against active context packs

Useful For

  • Quickly finding and previewing project documentation generated by agents during multi-step coding sessions
  • Supplying agents with relevant workspace documents automatically to reduce manual globbing and blind file reading
  • Browsing and streaming local project media assets and diagrams alongside conversations

Who It Fits

  • Developers and prompt engineers working with multi-file workspaces and documentation-heavy projects in DeepSeek Harness
  • Users needing instant, zero-cost task context discovery without token overhead or external API latency

Documented Limitations

  • Falls back to timestamp ordering when the conversation history is very short or keywords are insufficient
  • Chinese tokenization relies on n-gram approximations rather than external dictionary segmenters
  • Context stratification is currently limited to Markdown documents; images and videos match on filename only
  • Sidebar state is stored in memory and resets on full page reload or new sessions

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 0 runtime, 0 development, 0 peer, and 0 optional dependencies.

info
Dsh Bundle Declared

package.json declares DSH bundle metadata.

info
License Declared

GitHub reports the repository license as MIT.

info
Package Manifest Available

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

info
Source Available

Public GitHub source metadata is available for this registry snapshot.

info

Source & Registry Notes

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

Source repository
PolinniZhong/dsh-knit
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
dd9cecf · 2026-10-04

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
41GitHub stars
Forks
0
Open issues
0
Last commit
2026-10-03
Last release
2026-10-03
For maintainers

Maintaining this plugin?

This listing is generated from public repository data. If you maintain this project, you can review the information and share this listing with your users if you find it useful.

Add to README
Listed on DSHPlugin.app