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dsh-meow-memory

Memory Updated 2026.08.26

Run the following command in DeepSeek Harness:

dsh plugin install Phant0Meow/dsh-meow-memory

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

To install this plugin in DeepSeek Harness, use the command dsh plugin install Phant0Meow/dsh-meow-memory. Full source code: https://github.com/Phant0Meow/dsh-meow-memory

About this plugin

Most LLM sessions start from scratch, forcing users to repeat context, preferences, and project state in every new conversation. dsh-meow-memory brings true cross-session memory to DeepSeek Harness by persisting workspace knowledge in a local SQLite database, so the AI automatically remembers who you are, where your project stands, and what you've agreed upon.

The plugin uses a seven-layer memory model covering the AI's own identity, user profile, project details, atomic facts, lessons, ongoing topics, and design rules. It injects a static "long-term memory block" before the first user message while keeping the system prompt cache-friendly, and from the second message onward, each user message triggers keyword-based recall that injects only the two most relevant memories. Tools for writing, searching, updating, and deduplicating memories are available, with project anchoring to avoid false matches during casual chat. During idle time, the plugin performs per-window "dream" consolidation, automatically refining and freezing the knowledge gained in that session.

It's ideal for anyone doing long-term projects, continuous writing, coding, or research inside DeepSeek Harness. With zero runtime dependencies and built-in Node sqlite, it installs cleanly; client-side touches like collapsed injection bars, reflection cards, and crescent moon icons keep memory working in the background without disrupting your workflow.

Use Cases

  • Long-term project tracking and context continuity
  • Personal knowledge base and preference accumulation
  • Information recall across multiple sessions

Best For

  • Developers and researchers who need persistent context
  • Users engaged in long-form writing or creative work
  • DeepSeek Harness users who want to avoid repeating background context