memory-patterns

What problem does it solve?

This Skill addresses the challenge of AI agents forgetting crucial information between sessions or across different tasks, enabling persistent knowledge and context.

Core Features & Use Cases

• Persistent Memory: Utilizes mem0 to store information across sessions, context compactions, and project switches.
• Automated Memory Capture: Implements hooks (PostToolUse, PreCompact, SessionEnd, Stop) to automatically save relevant data.
• Scoping Strategies: Allows for both shared user_id scope and agent-specific agent_id scope for memories.
• Use Case: An architect agent can store its design decisions, and an LLM engineer agent can store model performance observations, making this information available for future reference by any agent.

Quick Start

Use the memory-patterns skill to automatically capture code style preferences after code editing operations.