Momento: Evaluating Persistent Memory and Reasoning with Multi-Session Agentic Conversations

• URL: http://arxiv.org/abs/2606.00832v1
• Date: Sat, 30 May 2026 18:08:51 GMT
• Title: Momento: Evaluating Persistent Memory and Reasoning with Multi-Session Agentic Conversations
• Abstract summary: We introduce Momento, a benchmark for persistent agentic task completion in multi-session service environments.<n> Experimental results reveal that current agents fail primarily through misestimation of user state.
• Score: 14.480725554900777
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Recent advances in agentic AI have enabled agents to complete complex tasks through tool use, reasoning, and multi-step planning. Yet existing benchmarks evaluate agents within a single session, ignoring past actions, stated preferences, and prior decisions that agents must integrate to fulfill personalized user goals. We introduce Momento, a benchmark for persistent agentic task completion in multi-session service environments, requiring agents to take consequential, tool-mediated actions while resolving temporal dependencies and evolving user goals across sessions. Experimental results reveal that current agents fail primarily through misestimation of user state, treating prior session history as a reliable proxy for current context rather than stale information requiring re-validation, highlighting a substantial gap between current agent capabilities and realistic long-horizon human-agent interaction.

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