dsh-chat-link
Run the following command in DeepSeek Harness:
dsh plugin install KeFan-J/dsh-chat-link
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install KeFan-J/dsh-chat-link in your terminal, then restart the DSH Web GUI (Ctrl+C, then npx @deepseek-ai/dsh web) and hard-refresh the browser; the source is at https://github.com/KeFan-J/dsh-chat-link.
About this plugin
DSH's built-in multi-agent collaboration is confined to parent-child subagent hierarchies within a single session; there has been no peer-to-peer channel between separate sessions. dsh-chat-link closes that gap: any two sessions can now converse like an instant-messaging pair, removing the need for a human relay or repeated context copy-paste.
Type @ in any input box to open a native session picker; the chosen target appears as a blue chip tag. On send, the target session is woken immediately and treats the message as a task; when it replies, the source session is woken in turn, creating a true two-way dialogue. If the target is offline, messages persist to a local message board with a three-second polling fallback, surviving DSH restarts. A sidebar inbox panel follows the DSH design system, shows live unread badges, and lets you jump directly to any message or conversation. Five agent tools (chat_link_send, chat_link_inbox, chat_link_history, chat_link_roster, chat_link_register) let every session query and dispatch cross-session messages mid-reasoning, and link names stay in sync with session titles in real time.
Ideal for DSH users running multiple workflow sessions that need frequent context exchange: one session writes code, another does research, and a simple @ keeps them in sync. All data remains local with no cloud dependency and no telemetry.
Use Cases
- Running multiple DSH sessions that need frequent context exchange
- One session codes, another researches, staying in sync via @
- Delegating tasks across independent sessions with no human relay
Best For
- DSH power users managing multiple concurrent workflow sessions
- Teams building multi-agent pipelines that require inter-session coordination
- Advanced users who want to chain independent agent conversations
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