Diagnose and manage SurrealDB-backed AI memory with bulk archive and promotion operations.
npx skills add https://github.com/baladithyab/engram --skill memory-admin
Please help me install this Agent Skill. Skill: memory-admin Source: https://github.com/baladithyab/engram/tree/main/skills/memory-admin Command: npx skills add https://github.com/baladithyab/engram --skill memory-admin
This Skill addresses the need for proactive management and optimization of an AI's persistent memory, ensuring data integrity, efficient storage, and optimal performance.
Use the memory-admin skill to check the current memory status.
High-intent search queries and answers about installing and using this skill.
You can troubleshoot common AI memory issues like connection errors, empty recall results, slow queries, and record not found errors using dedicated diagnostic tools. These tools check connection status and memory counts to identify the root cause.
Use bulk operations to archive stale memories and promote valuable session memories to project scope. This manages the memory lifecycle by permanently purging forgotten data and optimizing storage based on importance and access counts.
Yes, you can switch between different deployment modes for memory storage and access, including embedded, memory, local, and remote. This allows you to optimize your AI's persistent memory performance based on your current infrastructure needs.
Maintain a SurrealDB-backed knowledge graph by using diagnostic tools to monitor memory scopes and bulk operations to archive stale data. Effective administration requires understanding memory importance, access counts, and lifecycle management.
Empty recall results or connection errors in your AI memory often stem from deployment mode misconfigurations or stale data. Use troubleshooting guidance to check connection status, verify memory counts by scope, and resolve record not found errors.
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