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dsh-harness-ally

Workflow Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install BaronCyrus/dsh-harness-ally

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

Install the dsh-harness-ally plugin in DeepSeek Harness using the command dsh plugin install BaronCyrus/dsh-harness-ally; the full source address is https://github.com/BaronCyrus/dsh-harness-ally.

About this plugin

In the daily workflow of AI-assisted coding, developers often need to switch between multiple powerful coding assistants like DeepSeek Harness, Claude Code, Codex, and Kimi Code. However, these tools operate in silos, leading to fragmented session histories, lost context, and even duplicate tool executions, which hinder productivity. The dsh-harness-ally plugin addresses this pain point by introducing Harness Alliance mode, which unifies these assistants under the session lifecycle management of DeepSeek Harness.

The core capabilities of this plugin lie in seamless integration and real-time control. Model selection remains governed by DSH's native model selector, but the harness can be switched freely. DSH maintains control over session history, turns, steps, and checkpoints, while external CLIs only execute the current task. Notably, the thinking processes, tool calls, and other activities from external assistants are displayed in real-time, giving users clear visibility into execution progress. Additionally, the plugin offers observable caching, automatic CLI installation, and secure isolation, ensuring a smooth and safe experience.

dsh-harness-ally is ideal for developers or teams that frequently use multiple AI coding tools. It is particularly valuable for scenarios requiring cross-model collaboration and session continuity, such as comparing results across models or leveraging their respective strengths. By managing everything through a unified interface, users can avoid the chaos of context switching, enhance coding efficiency, and benefit from DSH's robust history management and cache optimization features.

Screenshots

Use Cases

  • Maintaining context continuity when switching between coding assistants.
  • Real-time monitoring of external tool execution progress and thinking processes.
  • Unified management of session histories and caching across multiple AI models.

Best For

  • Developers who frequently use multiple AI coding tools.
  • Teams requiring cross-model collaboration and result comparison.
  • Users who value session history management, real-time control, and secure execution.