Skip the Vector Database: Add Persistent Agent Memory in One Line

AI agents lose all context when the session ends, forcing developers to build expensive vector databases and integration glue code. MCP provides a simpler path by letting the agent itself decide what to remember and when to recall—eliminating boilerplate and making memory reliable enough to handle real-world corrections and multi-agent collaboration. This shifts the burden from infrastructure engineering to model intelligence, lowering the barrier to persistent AI applications.