dsh-hermes-memory
Run the following command in DeepSeek Harness:
dsh plugin install isheng-eqi/dsh-hermes-memory
Paste the following prompt into your AI chat to install this plugin:
In DeepSeek Harness, install the plugin by running the command `dsh plugin install isheng-eqi/dsh-hermes-memory`, with the full source code at https://github.com/isheng-eqi/dsh-hermes-memory.
About this plugin
When building long-term interactive AI systems, a key challenge is enabling agents to retain memory across multiple sessions. Traditional approaches often rely on external databases or manual management, which can be complex and unintuitive. The dsh-hermes-memory plugin offers a concise and efficient solution for DeepSeek Harness, implementing Hermes-style persistent memory management to let AI agents naturally continue context across conversations.
The plugin's core capability lies in its dual memory stores: MEMORY.md for the agent's personal notes, such as environmental facts and project conventions, and USER.md for user profiles, like preferences and communication styles. Agents curate these memories autonomously using a memory tool that supports add, replace, remove, and batch operations, ensuring data persistence to local storage. At the start of each session, memories are injected as frozen snapshots to maintain interaction continuity. Additionally, the plugin includes a built-in memory visualization panel in the Web UI, allowing users to view, edit, and add memory entries directly for a what-you-see-is-what-you-get experience, accessible even without technical expertise.
This plugin is ideal for DeepSeek Harness users, including developers, researchers, and teams building AI applications that require long-term memory. Whether developing chatbots, personal assistants, or professional tools, it helps agents remember key information, enhancing interaction coherence and personalization. With streamlined memory management, users can focus on application logic without worrying about the complexities of underlying storage, thus accelerating development and improving user experience.
Screenshots
Use Cases
- Building chatbots or personal assistants that require cross-session memory.
- Managing user preferences and profiles for personalized interactions.
- Providing persistent memory and visual editing capabilities for AI agents in DeepSeek Harness.
Best For
- DeepSeek Harness developers adding memory management features to AI agents.
- Researchers exploring memory mechanisms in long-term interactive AI systems.
- Product teams building chat applications requiring user memory and personalized support.
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