Plugins
Explora, filtra e instala plugins de DeepSeek-Harness.
5 plugins encontrados
dsh-smart-compact
hoyyang/dsh-smart-compact
Gestión automática de contexto al estilo Codex para DeepSeek Harness: rollover sin pérdida ni llamadas a modelos de resumen, anclas de traspaso orientadas a tareas, notas que sobreviven a la compactación y recuperación literal de ventanas archivadas. Las notas obsoletas generan una advertencia explícita en vez de avalar datos antiguos. Incluye botón de un clic y comando /smart-compact, rollover automático en tres niveles y saneamiento obligatorio de anclas; funciona sin configuración.
dsh-context-rollover
athif23/dsh-context-rollover
Paquete de renovación de la ventana de contexto dirigido por el modelo para DeepSeek Harness: contexto de trabajo nuevo, notas duraderas gestionadas por el modelo, una cola reciente breve y literal, y recuperación selectiva del historial, sin resúmenes.
dsh-rollover
zyxql-ala/dsh-rollover
Context rollover: auto-saves a handoff before the context window fills and re-injects it once in the next session segment. Two tools and a settings panel.
dsh-todos-diy
huningsong/dsh-todos-diy
Work todo reminders in a sidebar panel with four stage tabs (not started, in progress, overdue, done) plus separate recurring and paused filters, priority derived from the end time in real time, pinning that survives overdue, and enable/disable for recurring tasks. Recurrence covers workdays (following China's statutory holidays and make-up workdays), selected weekdays, monthly dates with month-end rollover, and 5-field cron; one-off tasks default to start and end reminders (start optional, end required); meetings can disable the end reminder. Alerts appear in a page overlay with optional browser notifications, snooze and quiet hours. Twelve agent tools; weekly/monthly reports, natural-language quick add, and cross-view search; data is a single local JSON file with completed tasks archived per quarter.
dsh-notes-context
sqzw-x/dsh-notes-context
Notes-backed context compression for DeepSeek Harness: replaces LLM-summarized compaction with a model-written persistent notebook plus recoverable raw history, so the rollover boundary itself costs zero model calls.