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dsh-mission

Workflow Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install qiaoy01/dsh-mission

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

To install this plugin in DeepSeek Harness, please use the source code address https://github.com/qiaoy01/dsh-mission.

About this plugin

While DeepSeek Harness (dsh) excels at handling short-term, interactive tasks, it often struggles with long-term objectives that span multiple days. The existing dsh lacks a persistent runtime environment, making it difficult to recover from interruptions or crashes. Furthermore, relying entirely on agents to self-certify task completion poses significant reliability risks in critical workflows. To address this, dsh-mission emerges as a robust long-horizon autonomous mission runtime designed specifically for dsh. The plugin's core value lies in establishing a decoupled execution mechanism: agents are responsible for planning and proposing tasks, while the runtime independently verifies feedback from the environment. By breaking long-term goals into a Dependency DAG, dsh-mission ensures atomic commits and persistent storage of task states. Its built-in event sourcing, automatic replanning, and crash recovery features allow the system to handle failures gracefully, enabling agents to autonomously drive complex workflows within a stable control loop. This plugin is particularly well-suited for developers and teams building high-reliability, multi-step automated systems. If you are managing complex scheduling tasks or looking to move beyond simple scripts to an architecture that offers independent verification and cross-session resumption, dsh-mission is an essential infrastructure component for the DeepSeek Harness ecosystem.

Use Cases

  • Handling complex long-term scheduling tasks that take days to complete
  • Building high-reliability automated workflows that prevent agent self-deception
  • Implementing intelligent control systems with cross-session resumption and crash recovery

Best For

  • Developers needing to build complex Agent applications with stable cross-session operation
  • Enterprise teams seeking high availability and independent verification mechanisms
  • Architects seeking workflow decoupling and DAG dependency management