Reference Architecture · Agents
Agent memory over MCP: giving any model a long-term memory it can call
Agent memory over MCP puts an assistant's long-term memory in its own small server, so that any app that speaks the Model Context Protocol can save facts and look them up again. Explained with three diagrams and one worked example.
A language model forgets everything when a conversation ends. Agent memory over MCP fixes that by running a memory server: a small program that stores memories in a vector store and offers them as tools the model can call, over the Model Context Protocol (MCP), an open standard for connecting AI apps to outside tools and data (MCP specification, 2025). In the terms of the CoALA framework (Sumers et al., 2023), saving…