Agent Loop Mcp

Agent Loop Mcp is a Model Context Protocol (MCP) server and agentic memory manager designed for AI agents and assistants, especially those with limited context windows. It enables persistent memory and state management for long-running, multi-step agentic workflows. With features such as word count monitoring, compaction cycles, and self-healing state strategies, it ensures robustness and reliability for orchestrated AI systems. Integrating seamlessly with agentic skills, it is ideal for developers and businesses building next-generation AI agents that require context-aware and persistent memory, particularly with tools like Claude, Cursor, and other MCP-compatible frameworks.