AgentMemory is a persistent memory system designed for AI coding agents (Claude Code, Cursor, Codex, etc.) that captures agent observations via hooks, compresses and stores them, and enables semantic/recall search across sessions. Built on the iii-engine framework, it provides a modular architecture with CLI, REST API, MCP server, and web viewer interfaces. The system eliminates repetitive context re-explanation by automatically injecting relevant memories into agent sessions, implements memory consolidation to extract stable facts, and includes features like working memory management, audit trails, and health monitoring. Agent integrations occur through platform-specific hooks and MCP tools, allowing agents to store observations and retrieve context without manual intervention.