OpenAI Agents SDK Memory: Sessions and Cross-Session Context

The Python OpenAI Agents SDK supports persistent, session-scoped conversation history through backends such as SQLite, allowing transcripts to survive process restarts while keeping separate session IDs isolated. Native sessions are suitable for continuity within a manageable conversation, whereas an external memory service should be used selectively for authorized cross-session preferences, facts, and documents. Applications should establish server-authorized user and tenant identity, retrieve bounded relevant context, treat retrieved material as untrusted, and save only verified or permitted facts with provenance rather than every model response. Session history and external memory should have distinct roles to prevent duplicate context, and deletion procedures must clearly distinguish between removing a conversation session and removing broader user memory. Testing should verify persistence, user isolation, cross-session retrieval, corrections, deletions, and whether failures arise from retrieval, request assembly, or generation, without making unsupported accuracy or latency claims.

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