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dsh-standalone-chat

Client Updated 2026.08.22

Run the following command in DeepSeek Harness:

dsh plugin install ZoeHao2026/dsh-standalone-chat

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

Run dsh plugin install ZoeHao2026/dsh-standalone-chat in PowerShell, then restart DSH and hard-refresh your browser; source code at https://github.com/ZoeHao2026/dsh-standalone-chat

About this plugin

The DeepSeek Harness Web GUI is built around agent sessions and workspaces, a powerful but heavyweight workflow. When you simply want a few quick rounds of lightweight conversation with a model without creating a session, binding a workspace, or loading AGENTS.md, dsh-standalone-chat offers a clean, self-contained entry point: a dedicated Chat button in the sidebar footer, routed at /chat, fully decoupled from the agent ecosystem.

Key capabilities include token-by-token streaming with collapsible reasoning panels, a full conversation history (create, auto-title, rename, delete), and per-conversation model selection grouped by provider (falling back to the DSH default when none is chosen). Rendering reuses the official MarkdownText component for visual consistency. Requests carry no system prompt, tools, or workspace context; data is persisted independently, so saved chats survive uninstallation.

Ideal for developers who rely on DSH for agent workflows but occasionally need a zero-overhead way to trial models, demo conversations, or run quick A/B comparisons. The plugin modifies no official packages, registers no new commands, and occupies no official slots. Install it, use it, uninstall it when done, and your conversation data stays exactly where you left it.

Use Cases

  • Trial a model in seconds without creating an agent session or binding a workspace
  • Show a teammate the DSH conversation flow with a direct /chat link
  • Lightweight A/B comparison across providers by switching models mid-conversation

Best For

  • Developers relying on DSH agent workflows who occasionally need zero-overhead quick Q&A
  • AI engineers running model evals or demos who want to skip the full session setup
  • Newcomers exploring the DSH ecosystem who want dialogue before diving into agents