EverOS Cloud is a hosted memory API for teams building AI agents, assistants, and other AI products. It keeps the preferences a user shares, the decisions made during a project, and the approaches that worked on earlier tasks, then returns that context when it is relevant again, so an agent does not reset when a conversation ends. The launch matters now because an LLM does not retain state between sessions on its own, and EverMind is offering the memory layer it already ships as open source as a managed service teams can call without running the stack themselves. EverOS splits memory into two tracks. User memory holds profiles, episodes, and atomic facts about a person. Agent memory records each run as a Case and distills repeated cases into reusable Skills, so a later task can reuse a method that already worked. Retrieval can be keyword, vector, hybrid, or agentic, and the service accepts text plus PDFs, images, spreadsheets, slides, audio, and email. EverMind reports 93.05% on LoCoMo, 83.00% on LongMemEval, and 90.04% recall on HaluMem for the memory system. Developers integrate with the everos-cloud Python SDK or the REST API at api.evermind.ai. The same request contracts run on EverOS Cloud and on the self-hosted Apache 2.0 runtime, so a team can start on the managed service and move later without rewriting the client. An MCP server also connects the memory to Claude, ChatGPT, Claude Code, Cursor, and Codex. EverMind, incubated by Shanda Group and led by CEO Yafeng Deng, builds this layer as part of its agent memory stack.