dsh-mnemosyne
Run the following command in DeepSeek Harness:
dsh plugin install rebron1900/dsh-mnemosyne
Paste the following prompt into your AI chat to install this plugin:
In DeepSeek Harness, you can install the dsh-mnemosyne plugin by running the command dsh plugin install rebron1900/dsh-mnemosyne, with the full source code available at https://github.com/rebron1900/dsh-mnemosyne.
About this plugin
When using DeepSeek Harness (DSH) with AI assistants for continuous work, we often face a core frustration: each new session feels like starting from scratch, with previous context, decisions, and learnings lost, severely disrupting workflow and efficiency. The dsh-mnemosyne plugin is born to solve precisely this problem. It introduces a powerful memory layer powered by the Mnemosyne system to DSH, fundamentally transforming the AI interaction experience.
The plugin's core capability lies in its "local-first" and SQLite-based architecture, meaning all memory data is securely stored locally on your device, requiring no external cloud services, thus ensuring privacy and data sovereignty. It provides five native memory tools (like remember, recall, forget) and features intelligent "automatic memory": it can automatically save valuable conversation content and smartly pre-fetch relevant memories in subsequent sessions to inject into the context, making the AI feel like it genuinely "remembers" you. Additionally, it includes an intuitive settings panel for easy configuration, viewing memory bank status, and performing data migrations without complex command-line operations.
dsh-mnemosyne is especially suited for users who intend to use DSH as a long-term, continuous digital workstation. If you are a developer, researcher, or anyone who frequently uses AI assistants for complex tasks, project tracking, or knowledge management, this plugin enables your AI companion to truly accumulate and utilize historical context, providing more precise and personalized assistance. It is also an ideal choice for users who prioritize data privacy and wish to maintain full control over their memory data, as its architecture ensures all processing happens locally.
Screenshots
Use Cases
- Maintain dialogue context continuity in long-term projects
- Automatically accumulate and recall project-related knowledge
- Intelligently pre-fetch historical memories to enhance AI responses
Best For
- AI developers requiring long-term context support
- Users engaged in continuous project research
- Advanced users prioritizing data privacy
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