dsh-group-chat
Run the following command in DeepSeek Harness:
dsh plugin install Qx002/dsh-group-chat
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install Qx002/dsh-group-chat in your terminal or DeepSeek Harness to install the plugin from https://github.com/Qx002/dsh-group-chat, then restart dsh web to activate it.
About this plugin
By default, DSH WebUI is a single-model, single-turn conversation tool. dsh-group-chat turns it into a multi-agent roundtable: as the group owner, you configure a set of AI characters that take turns speaking around a shared context, producing a genuine multi-model discussion. The entire implementation is built on Node.js and Cordis with no Tauri or Rust dependency, and works out of the box.
The orchestrator engine works in three layers. The speaker selector handles turn scheduling and failure isolation so an error in one agent never blocks the others; in parallel mode, multiple agents generate simultaneously. A unified session log serves as shared context, and later speakers see the latest replies of earlier speakers within the same turn, keeping the thread coherent. Each role gets its own system prompt, model, active-or-passive mode, mute permission, and mention alias; active-speaking agents are driven by randomized idle timers that interject when the conversation goes quiet. The entire experience lives in a standalone WeChat-style overlay page with image upload and streaming rendering, fully isolated from the native workspace.
It is built for developers and power users who want multi-model collaboration inside DSH: cross-model fact-checking, multi-character debate, or AI agents that chime in proactively. Every setting is configured through the settings panel with zero code, effective after a single restart.
Use Cases
- Multiple AI agents debate the same question in turn for cross-model cross-checking
- Configure active-speaking agents to proactively chime in when the discussion goes quiet
- Use multi-role debate mode to explore different perspectives on complex problems
Best For
- Developers and power users who need multi-model collaboration inside DSH
- Independent developers using multi-role AI discussions for content creation
- AI researchers exploring multi-agent orchestration and workflows
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