When building conversational agents with DeepAgents or LangGraph, one key requirement is remembering past interactions across sessions. The default MemorySaver checkpoint works for development but loses state on restart. This post demonstrates how to configure Postgres as a checkpoint backend, enabling persistent memory. The setup involves defining a PostgresSaver class and integrating it into the agent's compilation step. This approach is production-ready and scales well. For teams deploying AI assistants, this is a practical pattern to ensure continuity without relying on external memory services. The post also hints at future support for other databases like SQLite. This signal is valuable for engineers looking to move from prototype to production with minimal overhead.
Replace MemorySaver with Postgres for persistent agent state in DeepAgents.