dsh-kimi-bridge
Run the following command in DeepSeek Harness:
dsh plugin install pandashere/dsh-kimi-bridge
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install pandashere/dsh-kimi-bridge in your DeepSeek Harness terminal to install the dsh-kimi-bridge plugin from https://github.com/pandashere/dsh-kimi-bridge, then restart dsh web to activate it.
About this plugin
In a multi-agent DeepSeek Harness workflow, letting Moonshot Kimi act as a second coding pass should be a one-liner, but in practice it means spawning kimi -p by hand, parsing the JSON stream, polling for status, juggling parallel calls, and resuming settled sessions. dsh-kimi-bridge collapses all of that scaffolding into four first-class tools (call_kimi, kimi_status, kimi_abort, kimi_steer), making Kimi a native citizen of the dsh session with async and blocking modes, status polling, abort, and same-directory session continuation available out of the box.
The plugin ships a dedicated Kimi tab in the conversation pane that renders the full Agent Loop as a live waterfall of messages, tool invocations with arguments and outputs, and turn separators. Toggle between Activity and Text views to switch between the structured loop and the raw streamed transcript. All state changes flow through dsh session projection events, so the tab updates in real time and survives a page refresh with complete history replay. The default reviewOnly mode locks the tool allowlist to read-only operations, while operators can explicitly opt into unrestricted execution when needed.
If you already orchestrate multi-agent collaboration in dsh and want Moonshot Kimi to serve as a parallel coder, reviewer, or second-brain pass, this plugin is the cleanest one-step integration—eliminating hand-written process management and stream-parsing code entirely.
Use Cases
- Invoke Kimi from a dsh session for a parallel coding pass in one call
- Continue a settled Kimi session to iterate and refine a solution
- Watch the Kimi Agent Loop waterfall and tool-call details live in the conversation pane
Best For
- Developers orchestrating multi-agent workflows in dsh
- Teams that need an on-demand parallel coder or code reviewer
- Harness users who want to eliminate manual process management and stream-parsing code
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