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dsh-lark-bridge

Client Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install JMOKSZ/dsh-lark-bridge

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

Install the plugin in DeepSeek Harness by running `dsh plugin install JMOKSZ/dsh-lark-bridge`, with the full source available at https://github.com/JMOKSZ/dsh-lark-bridge.

About this plugin

In remote work and intranet collaboration, accessing local machine resources for AI tasks often faces network barriers and fragmented experiences. The dsh-lark-bridge plugin bridges DSH (DeepSeek Harness) into Feishu (Lark) via a bot, enabling you to send commands directly in chats while a local DSH agent executes file operations, commands, and web searches in real-time. Results, including reasoning and tool calls, are dynamically presented through streaming cards, eliminating geographical and network limitations. It leverages Feishu's official long connection (WebSocket), requiring no public IP or reverse proxy, making deployment effortless in home or enterprise intranets.

At its core, this plugin excels in seamless interaction and robust integration: streaming cards update task status live, supporting rich text and attachments; the push function allows the agent to report progress actively in conversations; and interactive Q&A or approval cards simplify decision-making with button-based responses. Each Feishu chat maintains an independent session context, ensuring tasks remain isolated, while @-filtering in group chats enhances collaboration precision. Whether processing documents, debugging code, or running complex workflows, you can accomplish them all within the familiar Feishu interface.

If you're a DSH user seeking to break free from terminal dependence and access local AI tools remotely during mobile or office work, or if your team needs to quickly integrate a reliable AI assistant in an intranet environment to boost efficiency, dsh-lark-bridge is tailored for you. It transforms Feishu from a communication platform into an intelligent workspace, making AI capabilities accessible anytime, anywhere.

Use Cases

  • Send commands via Lark to remotely operate local files and programs.
  • Collaborate on AI tasks in team group chats.
  • Deploy an AI assistant in intranet without public IP.

Best For

  • Developers needing remote access to local DSH tools.
  • Enterprise teams wanting to integrate AI into Lark.
  • Organizations seeking AI deployment solutions in intranet.