Aerospike NoSQL Database 8 Solves the Agent Memory Problem for LangGraph Workflows
Every developer who’s shipped an AI agent to production has run into the same wall: the agent remembers nothing across restarts. In-memory state is fine for demos. In production, where agents run for hours across multiple sessions, get killed by infrastructure failures, and need to pick up where they left off, in-memory state is a liability. Your agent’s entire conversational context, decision history, and accumulated knowledge evaporates the moment the process terminates. ...