r/AI_Agents: Team Replaced Chat History Replay With Extracted Memory Objects — Eliminated Failures When Resuming Long-Running Agent Sessions Across Resets

An agent developer reports that replacing chat history replay with structured extracted memory objects eliminated context-loss failures when resuming long-running agent tasks across sessions, after finding that stuffing summarized chat history back into the prompt caused the agent to lose coherent state on multi-day workflows. The post describes the transition from the summary-plus-recent-turns approach to a memory-object architecture, with measurable reduction in 'weird failures' attributed to stale or truncated context. The pattern is presented as a production fix rather than a theoretical architecture, with the team's specific implementation details shared.