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dsh-self-improving-agent

Workflow Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install satan9394/dsh-self-improving-agent

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

Run dsh plugin install satan9394/dsh-self-improving-agent in DeepSeek Harness to install; source code at https://github.com/satan9394/dsh-self-improving-agent

About this plugin

dsh-self-improving-agent is a DeepSeek Harness plugin focused on the agent-workflow category. It centers on the concept of a self-improving agent, providing built-in support for iterative agent behavior within Harness workflows so that agents can refine their performance based on execution feedback.

Rather than relying on manual, repeated prompt or parameter tuning, the plugin embeds the improvement loop directly into the workflow, reducing repetitive developer effort and letting teams focus more on business logic.

It is well suited for developers and teams building multi-step agent pipelines in DeepSeek Harness who want to lower the ongoing cost of agent tuning.

Use Cases

  • Build self-iterating agent pipelines in DeepSeek Harness
  • Reduce manual tuning overhead in multi-step agent workflows
  • Embed a behavior-optimization feedback loop into agent workflows

Best For

  • Developers building agent workflows in DeepSeek Harness
  • Small teams aiming to cut ongoing agent tuning costs
  • Engineers exploring self-improving agent architectures