How To Add Memory To OpenAI Responses API Agents

OpenAI’s Responses API is stateless, so production agents require an external memory layer to retain user preferences, conversation decisions, project details, and operational context across sessions. Mem0 is presented as a dedicated long-term memory system that stores identity-linked text and metadata, manages embeddings and semantic search, and supports adding, retrieving, updating, and deleting memories. A typical integration retrieves relevant user-scoped memories before an API call, inserts them into the prompt, generates a response, and then selectively saves durable facts from the exchange rather than storing every raw message. The text provides Python examples using Mem0 with the Responses API, including structured extraction of stable preferences and facts, and contrasts this approach with chat buffers, transcript databases, and custom vector stores. It also notes key design concerns, including inaccurate stored information, context-window limits, outdated memories conflicting with new instructions, privacy and deletion requirements, added latency, and the need for domain-specific memory policies.

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