Skip to main content

How to use dsh-tool-ralph

Model-facing fresh-agent Ralph loop over the workflow and subagent seams

This article is auto-derived from indexed fields (wiki / faq / compatibility_json), not freshly AI-generated.

This article is derived from the plugin's already-indexed fields (wiki / faq / compatibility_json / readme), not freshly generated by AI. Source field is noted at the end of each section.

Quick start

Model-facing fresh-agent Ralph loop over the workflow and subagent seams

— source: plugins.ai_summary

Install & verify

dsh plugin --profile web add npm:@deepseek-ai/dsh-tool-ralph

Run the command above in your DSH Web Profile. Then enable the plugin in the plugin list.

— source: plugins.install

Key points

  • Foreground only — there is no job id, background collection, process-resume checkpoint, scheduler, or wall-clock start policy.
  • The workspace is the only cross-round long-term memory — one bounded report is the explicit handoff, and uncommitted conversational reasoning disappears with each child.
  • One round is one fresh child — there is no within-round fan-out, model/provider switching, fork context, or model-call-selected provider.
  • Only round count bounds aggregate effort — token, price, and elapsed-time budgets are deferred.

— source: plugin_wiki.readme_en (fallback readme_raw)

Pitfalls

Review the upstream repo before installing. This guide is auto-derived from indexed fields and may lag the latest release. If anything contradicts the official docs, treat the upstream source as authoritative.

— source: general rule