Agent Memory System is an innovative tool that integrates with any repository to maintain a durable memory layer. By scanning the codebase and generating structured Markdown notes, it ensures that AI agents have access to relevant information before they start working. The system creates machine-readable topic indexes, tracks structural changes over time, and records handoffs between different assistants like Antigravity, Codex, Claude, Cursor, or others, ensuring context is preserved across transitions.