Giving an AI agent memory that survives the session

A tutorial pairs the OpenAI Agents SDK with Mem0 to store preferences and retrieve them later.

Most AI agents forget everything when a session ends, which makes every conversation start from zero. A new KDnuggets tutorial shows how to add long-term memory using the OpenAI Agents SDK and Mem0. The pattern is simple: search memory for relevant context, use it while reasoning, then save anything useful for next time.

The agent gets two tools. One searches Mem0 for memories tied to a user ID, returning the top matches by semantic similarity. The other writes new facts, preferences, or decisions to the same store. Because retrieval is selective, the prompt stays small instead of carrying every previous conversation.

The same memory can be connected to OpenCode through Mem0's hosted MCP server, so a coding agent can remember project preferences across sessions. The tutorial's example is modest — remembering that a user prefers Python and uv — but the pattern scales to goals, decisions, and recurring context.