dsh-msg-hub
Run the following command in DeepSeek Harness:
dsh plugin install AbcdefgXW/dsh-msg-hub
Paste the following prompt into your AI chat to install this plugin:
In DeepSeek Harness, install the plugin using the command 'dsh plugin install AbcdefgXW/dsh-msg-hub', with full source details at: https://github.com/AbcdefgXW/dsh-msg-hub
About this plugin
In an era where AI agents and automated workflows are becoming ubiquitous, integrating disparate instant messaging platforms into a unified interaction layer poses a significant challenge. The dsh-msg-hub plugin for DeepSeek Harness addresses this by bridging mainstream IM channels like WeChat, QQ, and Feishu directly into agent sessions, enabling seamless message flow. Whether you need to remotely trigger AI tasks or monitor workflow statuses in real-time, this plugin offers a reliable conduit to streamline operations.
Its core capabilities are threefold: first, it includes built-in connectors for WeChat, QQ, and Feishu, supporting methods like QR code login or official APIs to ensure stable message exchange; second, it provides a proactive push service that allows scheduled tasks, external events, or scripts to wake the agent via simple calls, automatically sending AI replies back to the designated IM, thereby expanding automation possibilities; third, it integrates remote monitoring features, such as approval pushes and real-time status updates, enabling users to manage tasks via IM even when away from their devices—for instance, by approving operations or checking execution progress.
This plugin is ideal for a wide range of users, particularly developers and operations personnel working with the DeepSeek Harness framework. If you're building AI agents that require deep integration with team communication tools, or seeking to remotely control automated workflows through IM, dsh-msg-hub significantly simplifies the development process, reducing redundant efforts. It makes cross-platform message handling accessible, benefiting everything from personal utilities to enterprise-grade applications.
Use Cases
- Automatically push results to Feishu or WeChat after scheduled tasks complete
- Remotely monitor agent execution status and receive real-time notifications
- Trigger AI tasks via QQ group messages and automatically send back responses
Best For
- Developers working with the DeepSeek Harness framework
- Operations personnel requiring remote monitoring and management of automated tasks
- Engineers building AI applications with multi-IM channel integration
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