Route conversational data to SimpleMem or OpenMemory memory systems.
npx skills add https://github.com/bloknayrb/claudestuff --skill memory-router
Please help me install this Agent Skill. Skill: memory-router Source: https://github.com/bloknayrb/claudestuff/tree/main/skills/memory-router Command: npx skills add https://github.com/bloknayrb/claudestuff --skill memory-router
This Skill intelligently routes and stores information to the appropriate local memory system (SimpleMem or OpenMemory) to ensure context is persistently captured without requiring user confirmation for storage.
Use the memory-router skill to automatically store any temporal facts, preferences, lessons learned, or procedural knowledge mentioned in the conversation.
High-intent search queries and answers about installing and using this skill.
Automatic context capture routes conversational data to local memory systems, storing temporal facts and preferences without requiring user confirmation. This ensures persistent memory retrieval for AI assistants by logging deadlines, commitments, and procedural knowledge as they arise.
Dual memory routing directs time-sensitive data like deadlines to SimpleMem, while broader contextual information such as user preferences and lessons learned goes to OpenMemory. This separation optimizes memory retrieval by matching data type to the appropriate storage system.
Storing deadlines and project dates is handled automatically by routing temporal facts to SimpleMem. When a user mentions a specific date like a project cutover, the system captures and persists it for future retrieval without manual input.
No manual confirmation is needed to save preferences and lessons learned. The system automatically captures and stores working styles, procedural information, and user preferences in OpenMemory as they naturally arise during the conversation.
Conversational memory storage captures specific dates, deadlines, commitments, working styles, lessons learned, and procedural information. This contextual data is routed to either SimpleMem or OpenMemory to build a persistent knowledge base for the AI assistant.
Separating temporal facts from user preferences optimizes context retrieval accuracy. SimpleMem handles time-sensitive data like deadlines, while OpenMemory stores broader knowledge and preferences, ensuring the AI assistant retrieves the correct information type efficiently.
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