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dsh-qqbot

Client Updated 2026.08.27

Run the following command in DeepSeek Harness:

dsh plugin install tencent-connect/dsh-qqbot

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

Install this plugin in DeepSeek Harness by running `dsh plugin install tencent-connect/dsh-qqbot`; source code: https://github.com/tencent-connect/dsh-qqbot

About this plugin

Many DeepSeek users and developers want to use AI directly in their familiar QQ chat environment, but building a bot from scratch involves tedious handling of login, message delivery, and session management. dsh-qqbot addresses this need by seamlessly integrating DeepSeek AI into QQ private and group chats on top of deepseek-harness, ready to use out of the box.

The plugin excels in session management and interaction experience. Quick login via QR code binding gives each private user and group chat a fully isolated conversation with independent context, plus persistent recovery so dialogs survive restarts. Built-in commands like /new, /compact, /model, and /preset make it easy to manage conversation history, switch models, and apply presets. Replies are sent as Markdown with code-block and table-aware splitting to avoid truncation. It also supports ask_user_question interactions, generating inline buttons or numbered options, ideal for structured information collection and step-by-step guidance.

It suits developers, community operators, or teams who want to deploy DeepSeek capabilities in QQ quickly. Whether used as a group assistant, private chat customer service, or internal tool, its session isolation and preset mechanism allow flexible configuration, while idle recycling keeps resource usage under control.

Use Cases

  • Deploy a DeepSeek assistant in QQ groups to answer member questions
  • Provide AI customer service for private chat users
  • Manage conversation history and switch models via built-in commands

Best For

  • Developers who want to quickly deploy DeepSeek capabilities in QQ
  • Community operators needing group assistants or private chat customer service
  • Teams looking to build internal tools with session isolation and presets