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dsh-edit-resend

Workflow Updated 2026.08.23

Run the following command in DeepSeek Harness:

dsh plugin install mbj733/dsh-edit-resend

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

To install the dsh-edit-resend plugin in DeepSeek Harness, run the command: dsh plugin install mbj733/dsh-edit-resend, with the full source address at https://github.com/mbj733/dsh-edit-resend.

About this plugin

When using DeepSeek Harness for conversations, we often face a common frustration: once a message is sent, it cannot be edited, leading to rigid dialogue flows and messy version management. Especially when responses are incorrect or need adjustment, users have no choice but to restart the entire conversation, wasting time and effort. The dsh-edit-resend plugin is designed to solve this by enabling in-place editing and resending of messages after they are sent, making conversations more flexible and controllable.

Its core capabilities include stopping ongoing replies, editing settled messages (such as user text, assistant reasoning, and responses), rerolling arbitrary turns, and adopting a single-conversation mode that automatically archives old versions. Whether you need to fix an error or experiment with different prompt strategies, you can do so easily without generating duplicate messages or disrupting history. Version metadata is stored outside session logs, ensuring session stability and recoverability, and preventing common errors.

If you are a heavy user of DeepSeek Harness—such as a developer running iterative tests, a researcher adjusting experimental parameters, or a content creator optimizing dialogue outputs—this plugin will significantly boost your efficiency. It lets you focus on the conversation content itself without worrying about version management, delivering an efficient and distraction-free experience for editing and retrying dialogues.

Use Cases

  • Fix errors in assistant responses
  • Retry failed conversation turns
  • Edit messages and regenerate to optimize output

Best For

  • Developers testing with DeepSeek Harness
  • Researchers adjusting experimental parameters
  • Content creators iterating on dialogue content