Your AI agent understands the project today. Tomorrow, you open another agent and explain the same architecture, preferences, and decisions again.
The model changed. The chat history stayed behind. Your context did not move with you.
I built Sutra MCP to make that handoff explicit: one private, portable memory layer and reusable skill library that can be accessed by supported AI agents through the Model Context Protocol.
This article shows what that means, how the pieces fit together, and how to connect an MCP client in a few minutes.
What is Sutra MCP?
