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dsh-memory

Client Updated 2026.09.02

Run the following command in DeepSeek Harness:

dsh plugin install doublehappy123/dsh-memory

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

Run dsh plugin install doublehappy123/dsh-memory inside DeepSeek Harness to install this plugin; the source is available at https://github.com/doublehappy123/dsh-memory. After installation, restart dsh or the web UI to activate it.

About this plugin

DeepSeek Harness starts every conversation from scratch, so user preferences, project context, and critical decisions are lost the moment a session ends. dsh-memory closes that gap: before answering, it automatically recalls relevant memories and injects them into the runtime context; after answering, newly surfaced facts worth keeping are saved to a local JSON store, giving dsh genuine cross-session long-term memory.

The plugin registers five model tools - memory_save, memory_recall, memory_list, memory_update, and memory_delete - backed by a smart search engine that scores results by keyword, tag, importance stars, and recency. Memories rated 3 stars or higher are automatically injected into the context of every request without any manual intervention. A five-level importance scale ranges from ephemeral notes to critical, never-to-be-forgotten decisions. The web UI also gains a dedicated visual settings page where you can browse, search, add, edit, delete, and import or export memories as JSON.

If you rely on dsh day in and day out for project communication, technical decisions, or personal preference management, and want it to remember the things you have already explained, dsh-memory is a lightweight yet practical choice.

Use Cases

  • Remember user preferences and project context across sessions without re-explaining
  • Accumulate technical decisions and domain knowledge over time in ongoing projects
  • Batch-manage, search, and import/export memories via the visual settings page
  • Auto-inject high-importance facts into every request context

Best For

  • Individual developers who rely on dsh daily
  • Small teams needing AI to continuously understand business context
  • Advanced dsh users who value personalization and reduced repetition