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dsh-mnemosyne-memory

Memory Updated 2026.08.26

Run the following command in DeepSeek Harness:

dsh plugin install fjzzwxp/dsh-mnemosyne-memory

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

Run dsh plugin install fjzzwxp/dsh-mnemosyne-memory in your DSH terminal to install this plugin; full source: https://github.com/fjzzwxp/dsh-mnemosyne-memory

About this plugin

Every DSH session starts amnesiac—project conventions, architecture decisions, and last week's discussion all evaporate the moment the window closes. Mnemosyne plugs that gap: persistent, cross-session memory that survives restarts, so your agent actually remembers the project.

Under the hood it mirrors how human recall works. Vector-based semantic search turns a plain-language query into a precise hit on the right historical snippet. An LLM reflection pass fires every few turns, distilling decisions, insights, and team conventions into structured memory. Knowledge pages are auto-generated mid-session and then incrementally refreshed—no full rewrites. A codebase survey indexes 30+ configuration patterns in one pass. Multi-workspace isolation, Git-history seeding, and cross-session import all ship out of the box.

Whether you need fully offline operation with a local Ollama embedding model or prefer the higher accuracy of the free Gemini API tier, Mnemosyne is 100% free under the MIT license. Drop it into DSH and let every new conversation stand on the shoulders of every one before it.

Use Cases

  • Keep project conventions and architecture decisions across DSH sessions
  • Run fully offline with local Ollama for privacy-sensitive environments
  • Share team knowledge with incremental page refreshes only

Best For

  • Developers building AI agents on DeepSeek Harness
  • Privacy-sensitive teams needing offline, zero-cost memory
  • Individuals and teams who want agents to inherit past session knowledge