← DeepSeek Harness Plugins
DeepSeek Harness PluginManifest Valid

dsh-kb

Team knowledge base and offline wiki plugin with automated LLM distillation and full-text search.

Developer ToolsSkills & Workflows
5GitHub Stars3ForksUpdated2026-10-09

Install

$ dsh plugin --profile web add @weibaohui/dsh-kb -w

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-kb is a team knowledge base plugin for DeepSeek Harness designed for offline knowledge sharing, multi-KB management, and structured documentation based on the Karpathy LLM Wiki pattern. It provides a full-page UI in the sidebar, immutable raw uploads, automated queue-based agent distillation according to schema.md rules, zero-dependency full-text search, version history rollbacks, and interactive Ask-AI workflows.

Key Capabilities

  • Sidebar full-page knowledge base with directory tree navigation and Markdown viewer
  • Support for multiple independent knowledge bases with per-library schema.md rules
  • Automatic background distillation queue for raw materials using LLM agent sessions
  • Zero-dependency text scanning and full-text search with hit highlighting
  • Ask-AI query mechanism injecting relevant knowledge references into agent prompts
  • Automatic version history snapshots (up to 50 versions per page) with rollback support
  • Feedback loop allowing unattended agent verification and automated article corrections
  • One-click '@' path injection to pass documents or raw files directly to conversation agents

Useful For

  • Creating cross-session team wikis, howtos, postmortems, and architectural decision records (ADRs)
  • Automatically distilling raw logs, screenshots, and transcripts into structured markdown knowledge
  • Querying local offline knowledge bases with AI grounded citations and page references

Who It Fits

  • Engineering teams maintaining persistent, multi-session knowledge bases inside DeepSeek Harness
  • FDEs and developers operating in air-gapped or offline deployment environments

Documented Limitations

  • Requires DeepSeek Harness runtime >=0.1.7-rc.2 and Node.js >=20
  • Requires installing companion skill from skill/dsh-kb/ into skills-management for full agent distillation capabilities
  • Distillation throughput depends on the configured agent model and background queue execution

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
weibaohui/dsh-kb
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
f3a60ea · 2026-10-17

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
5GitHub stars
Forks
3
Open issues
0
Last commit
2026-10-09
Last release
2026-09-27
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