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dsh-schedule

Client Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install magicOF2/dsh-schedule

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

Run dsh plugin install magicOF2/dsh-schedule in your DeepSeek Harness terminal to install this plugin; the full source is available at https://github.com/magicOF2/dsh-schedule.

About this plugin

Managing tasks inside an AI chat tool usually means to-dos scatter across dozens of conversations, and a week later you cannot remember which item belongs to which thread. dsh-schedule consolidates everything into a single local panel so you can view, edit, check off, and review your schedule in one place without digging through chat history.

Open the full-height drawer from the sidebar or title bar to see today, this week, and a historical month calendar at a glance. Every item supports inline editing, a detail view, completion checkmarks, daily or weekly recurrence, and optional auto carry-over for missed deadlines. The standout feature is bidirectional linking between schedules and conversations: one click attaches the current chat to a task, and clicking the link jumps you straight back into that context. An agent toolset lets you add, modify, or link schedules using plain language in any conversation, with no need to switch to a form.

It is built for developers who use DeepSeek Harness not only to write code but also to track daily habits, project milestones, and long-term commitments. All data lives in a single local JSON file; completion history is never deleted, and backing up means copying one file with no cloud dependency required.

Use Cases

  • Track daily habits, project milestones, and recurring tasks within AI conversations without switching to external apps
  • Bidirectionally link schedules to specific sessions so you always return to the right context instead of losing progress in chat history
  • Accumulate completion history locally over time and review weekly, quarterly, or annual productivity stats

Best For

  • Developers who use DeepSeek Harness for both coding and daily task management
  • Users who prefer local file persistence and want no cloud dependency
  • Heavy AI-chat power users who want to create and manage schedules via natural language