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dsh-plugin-heartbeat

Client Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install LittleBlackTong/dsh-plugin-heartbeat

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

To install this plugin in DeepSeek Harness, run the command `dsh plugin install LittleBlackTong/dsh-plugin-heartbeat`. The full source code is available at https://github.com/LittleBlackTong/dsh-plugin-heartbeat.

About this plugin

In deep learning workflows, agents often fall silent—halting progress reports and leaving developers in the dark about whether issues stem from technical bottlenecks or process blocks. The dsh-plugin-heartbeat tackles this by acting as a smart alarm that gently 'wakes' the agent at configurable intervals, encouraging it to proactively communicate. Whether it's a progress update, a risk alert, or a simple check-in, this plugin ensures the agent stays vocal, maintaining transparency throughout the task.

Its core capabilities go beyond mere reminders. It employs an intelligent backoff strategy to avoid frequent interruptions, and automatically stops after consecutive unresponsiveness—only resuming when the user speaks, thus conserving resources while respecting privacy. Heartbeat messages are lightweight and non-intrusive, never disrupting ongoing tasks, yet they immediately catch up once the agent finishes. It also supports history compression to save context and allows custom prompt templates, adapting to various scenarios.

Ideal for independent developers, research teams, or DevOps engineers using the DeepSeek Harness framework, this plugin suits anyone needing consistent agent status synchronization. It's especially valuable for long-running automation processes, collaborative environments requiring regular updates, or any situation where you want the AI assistant to stay in sync with humans. By turning a passive tool into an active partner, it minimizes unnecessary waits and guesswork.

Use Cases

  • During long-running deep learning tasks, the agent automatically reports progress and risks.
  • In team collaborations, maintaining agent status synchronization to prevent communication gaps.
  • In unattended scenarios, the agent actively reports blockers or checkpoints.

Best For

  • Developers and researchers using the DeepSeek Harness framework.
  • DevOps engineers who need to monitor automated workflows.
  • Any user who wants AI assistants to maintain transparent communication.