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Building Persistent Memory for AI Agents: A 6-File System That Works

AI 에이전트의 메모리 문제를 푼 6파일 시스템

Why it matters

AI agents lose context between sessions, causing them to accidentally overwrite their previous work—a critical problem for developers relying on AI-assisted development. This 6-file documentation system solves the memory gap by creating persistent context through structured handoff notes and decision logs. The approach is framework-agnostic and works across Claude Code, Cursor, and Windsurf, making it immediately applicable to AI-assisted workflows.

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agent memorysession persistenceClaude Codedocumentation systemcontext preservation

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