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dsh-congo-dr

Web Tools Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-congo-dr

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

Run dsh plugin install uckkk/dsh-congo-dr in the DeepSeek Harness terminal to install the plugin; the source repository is available at https://github.com/uckkk/dsh-congo-dr

About this plugin

When you are building applications that touch on the Democratic Republic of the Congo—whether for administrative boundaries, demographic snapshots, or reference lookups—relying on third-party APIs or web services introduces fragility. In offline, air-gapped, or compliance-restricted environments, those services simply may not be available. dsh-congo-dr solves this by packaging DR Congo's core country fields into a pure Node.js module that reads entirely from local data, with zero network requests, so lookups stay fast and deterministic regardless of connectivity.

The implementation is intentionally lightweight: it is written in plain Node.js with no runtime dependencies beyond the language runtime itself. The current release ships foundational structured fields, and additional dimensions are planned to be added incrementally, letting developers pull in exactly the data they need without bloating their dependency tree.

It is a practical fit for developers who need DR Congo reference data in offline or restricted-network settings, and for teams building multi-country data pipelines who want a dependable offline source to feed their ingestion workflow.

Use Cases

  • Look up structured DR Congo fields locally in offline or air-gapped environments
  • Serve as an offline fallback data source for DR Congo in a multi-country data pipeline
  • Replace unreachable external geo or administrative APIs in compliance-restricted settings

Best For

  • Developers who need DR Congo reference data without relying on external services
  • Engineering teams building multi-country administrative or demographic data pipelines
  • Individuals and researchers processing data in offline, intranet, or restricted-network settings