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dsh-history-terms

Web Tools Updated 2026.08.21

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-history-terms

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install uckkk/dsh-history-terms to add this plugin to DeepSeek Harness; the source repository is https://github.com/uckkk/dsh-history-terms

About this plugin

Writing or translating content that touches on historical terms can quickly become a game of tab-hopping and half-remembered definitions. dsh-history-terms eliminates that friction by bundling a curated vocabulary of historical terminology into two simple tools: list_history returns every entry in one call, and get_history retrieves a single entry by id or name. Everything runs in pure Node with zero network dependencies, so the lookup is instant and works even on an air-gapped machine.

The plugin is designed to sit inside an agent or a conversational workflow that needs structured, offline access to term definitions without spinning up a database or hitting a remote API. Instead of manually pasting references into the prompt each time, the model simply calls the registered tool and receives the full entry in-context. This keeps terminology consistent across long documents and removes the repetitive copy-paste cycle.

It is a good fit for anyone authoring historical long-form content, localizing encyclopedic material, or bolting a lightweight offline knowledge pack onto a custom agent. The entire library is pure Node with no external services, MIT-licensed, and requires nothing beyond the install command to start working.

Use Cases

  • Quickly look up term definitions and context while drafting historical content
  • Maintain terminological consistency across multi-turn conversations
  • Provide structured vocabulary references to agents in offline settings

Best For

  • Developers writing or translating long-form historical content
  • Agent developers who need offline knowledge references
  • Engineers embedding lightweight vocabulary packs into conversational flows