Memori Mcp

Memori MCP is a Model Context Protocol (MCP) server that provides persistent, structured, and agent-execution-based long-term memory for AI agents—no SDK or code changes required. Designed for any MCP-compatible agent, Memori MCP enables agents to retain and retrieve facts and context across sessions, store durable preferences, restore state after context compaction, and maintain structured memory for both natural language and agent tool executions. It is ideal for developers and teams building stateless AI agents who need production-ready, scalable, and efficient memory infrastructure to boost agent accuracy, minimize token usage, and enable truly stateful agent workflows.