Load topic-specific warm memory on demand from local index files.
npx skills add https://github.com/jihwan97-hash/jino-memory --skill memory-retriever
Please help me install this Agent Skill. Skill: memory-retriever Source: https://github.com/jihwan97-hash/jino-memory/tree/main/skills/memory-retriever Command: npx skills add https://github.com/jihwan97-hash/jino-memory --skill memory-retriever
Conversation context is preserved by loading topic-specific warm memory on demand when topics arise.
Run the memory-retriever with --auto and include the user message to load matching memory.
High-intent search queries and answers about installing and using this skill.
To load topic-specific context on demand, the memory retriever auto-matches user messages against known topics using keywords, loading relevant warm memory into the conversation when a match is found.
Auto-matching memory works by scanning user messages for keywords associated with stored topics, automatically loading the matching topic files and updating their last access dates to improve relevance.
Yes, you can explicitly load a specific topic's memory on demand, or list all stored warm memory topics and their last access dates, rather than relying solely on auto-matching from user messages.
You need a local index file and topic files containing the warm memory to enable contextual recall across chat topics, requiring no external dependencies to function.
Use warm memory retrieval when conversations touch known topics and require contextual recall across those topics, ensuring topic-specific memory is loaded only when relevant rather than persistently.
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