Search hierarchical memory tiers and return relevance-ranked results.
npx skills add https://github.com/X-McKay/kubani --skill search-memory-x-mckay
Please help me install this Agent Skill. Skill: search-memory Source: https://github.com/X-McKay/kubani/tree/main/kubani/skills/general/memory/search-memory Command: npx skills add https://github.com/X-McKay/kubani --skill search-memory-x-mckay
This Skill addresses the challenge of efficiently finding specific information within a complex, multi-tiered memory system, ensuring that relevant context is readily available for decision-making.
Search the memory system for information about 'nginx pod memory issues' and retrieve the top 10 results.
High-intent search queries and answers about installing and using this skill.
To retrieve relevant context from an AI agent memory system, you query a hierarchical memory structure covering working, episodic, and semantic tiers to receive a ranked list of relevant memories based on similarity.
Similarity search across hierarchical memory tiers works by querying working, episodic, and semantic layers simultaneously, returning a relevance-scored list of memories matching the search query.
To search an AI agent's episodic memory, you need to provide a user ID and a search query to retrieve ranked memories from the hierarchical memory system.
Yes, you can use contextual retrieval to search memory for similar past issues and their resolutions, providing AI agents with necessary background information for troubleshooting.
The best way to search multi-tier memory for pattern matching is querying the hierarchical memory system with a specific search query to retrieve ranked, relevance-scored memories instantly.
You should use contextual memory retrieval for AI agent operations when specific background information or pattern matching is needed for decision-making and task execution.
Geralt1983Manage vectorized memory with heat-based decay using PostgreSQL and pgvector.
eysenfalkDiagnose agent failures by analyzing tool availability, context, model capabilities, and task clarity.
X-McKayStore information into working, episodic, or semantic memory tiers.
mindmorassStore and retrieve documents in Qdrant for semantic search.
