What problem does it solve?
This Skill provides a robust, two-layer memory system to ensure AI agents retain crucial information across interactions, preventing repetitive questions and maintaining context.
Core Features & Use Cases
- Long-Term Fact Storage:
MEMORY.md stores user preferences, project context, and relationship details, always available in the AI's context.
- Event Logging:
HISTORY.md acts as an append-only log for past events, searchable via grep for specific information retrieval.
- Use Case: When discussing a project, the AI can recall specific technical constraints or user preferences previously stored in
MEMORY.md, and if a user asks about a past decision, the AI can search HISTORY.md to find the relevant conversation log.
Quick Start
Search for past events related to 'project deadline' in the history log.