dsh-memory-search-plus
Run the following command in DeepSeek Harness:
dsh plugin install the-thinker0/dsh-memory-search-plus
Paste the following prompt into your AI chat to install this plugin:
In DeepSeek Harness, you can install this plugin with the command 'dsh plugin install the-thinker0/dsh-memory-search-plus', and its full source code is at https://github.com/the-thinker0/dsh-memory-search-plus.
About this plugin
In DeepSeek Harness, users often engage in multiple conversations, but the built-in search functionality is limited to the current session, making it difficult to quickly retrieve key information from past chats. The dsh-memory-search-plus plugin addresses this problem by providing local, cross-session full-text search across the entire Harness environment, making all historical content easily accessible.
The plugin's core capability is built on an SQLite FTS5 indexing system that supports Chinese and English tokenization as well as mixed-language queries, ensuring search accuracy and efficiency. It employs an adaptive two-stage search algorithm that first rapidly recalls candidate results and then precisely verifies and highlights message positions. Users can search content across all sessions through a sleek sidebar interface similar to ChatGPT, with role-based filtering for user, assistant, or tool messages. The entire process runs fully locally without network calls, guaranteeing data privacy and security.
dsh-memory-search-plus is particularly suited for users who frequently use DeepSeek Harness for prolonged, multi-session work, such as software developers, researchers, or content creators. If you often need to review past discussions, find specific information, or organize conversation records, this plugin will become a powerful tool to enhance your efficiency, helping you quickly locate needed content amid extensive chat histories.
Use Cases
- Search historical information across multiple conversations
- Quickly locate previous discussion content
- Manage large volumes of session records
Best For
- Developers who frequently review conversations
- Researchers managing multiple projects
- Users who prioritize privacy
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