소개
Graphiti Memory System acts as a long-term memory layer for AI agents, allowing them to retain critical context, architecture decisions, and project-specific 'gotchas' across multiple sessions. By utilizing a sophisticated knowledge graph, it enables Claude to learn from past mistakes, adhere to specific coding patterns, and perform consistent context loading at the start of every task. This skill effectively bridges the gap between individual coding sessions, ensuring that lessons learned during a bug fix or architectural shift are available globally or within specific project scopes, preventing repetitive errors and fragmented knowledge.
