OpenAI Agents SDK Adds Long-Term Memory With Mem0, Retrieving Top 5 User Memories
Updated
Updated · KDnuggets · Nov 6
OpenAI Agents SDK Adds Long-Term Memory With Mem0, Retrieving Top 5 User Memories
3 articles · Updated · KDnuggets · Nov 6
Summary
A new tutorial shows how to give AI agents persistent memory across sessions by pairing the OpenAI Agents SDK with Mem0, letting them store preferences, goals and prior decisions instead of starting fresh each time.
The setup uses two tools: search_memory, which semantically retrieves the top 5 relevant memories for a user, and save_memory, which writes durable facts while keeping each user's data isolated with a separate user ID.
The example agent runs on gpt-5.6-luna and is instructed to check memory before every reply, then save only useful long-term information rather than entire conversations.
A test case shows the agent remembering a user's preference for Python and uv after a restart, then using that context to suggest a project setup tailored to that preference.
The same memory layer can also be connected to OpenCode through Mem0's hosted MCP server, extending persistent memory to coding agents with tools such as add, search, update and delete.