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dsh-workbench

Workflow Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install staff-os/dsh-workbench

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

In DeepSeek Harness, install this plugin using the command `dsh plugin install staff-os/dsh-workbench`, with the full source code address at https://github.com/staff-os/dsh-workbench.

About this plugin

dsh-workbench is an enterprise workbench plugin crafted for DeepSeek Harness, addressing the challenges of fragmented AI tool management and weak security controls. By consolidating AI employees, knowledge bases, skills, MCP servers, and DSH plugins into a unified local platform, it enables teams to deploy and monitor AI resources efficiently without relying on external backends or databases. All state is stored locally as files, ensuring data privacy and operational simplicity.

The plugin's core capabilities span five key domains: skill management with marketplace integration and security scanning for compliance; AI employee functionality for creating and customizing agent presets; local text-based knowledge base retrieval; streamlined MCP server configuration; and seamless DSH plugin management via CLI. Each domain includes intuitive tools and management surfaces, with destructive actions requiring explicit confirmation to bolster system stability.

Designed for enterprise development teams, AI operations personnel, and security-conscious organizations, dsh-workbench simplifies the entire lifecycle from skill distribution to employee configuration. It is particularly suited for environments requiring local deployment, rapid iteration, and data sensitivity, allowing users to focus on AI innovation rather than administrative overhead.

Screenshots

Use Cases

  • Centrally manage team AI agent presets and skill configurations
  • Locally deploy and retrieve knowledge base documents
  • Import and security-scan new skills via marketplace

Best For

  • Enterprise AI development and operations teams
  • Privacy-focused local deployment users
  • Workflow designers needing rapid AI tool integration