contextkeeper is an MCP server that provides universal AI session continuity and persistent memory for large language model (LLM) agents, such as Claude, GPT, Gemini, and other MCP-compatible clients. It eliminates model drift and allows any AI session to immediately synchronize with the most up-to-date project context, standards, and active states without manual history replay or data uploads. It is ideal for developers, teams, or solo operators working with multiple AI agents and projects, needing consistent context exchange and seamless handoff between AI and human collaborators.
Visit contextkeeper's official website for product details and getting started.