arXiv — NLP / Computation & Language · · 3 min read

LifeSide: Benchmarking Agents as Lifelong Digital Companions

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Computer Science > Computation and Language

arXiv:2606.04660 (cs)
[Submitted on 3 Jun 2026]

Title:LifeSide: Benchmarking Agents as Lifelong Digital Companions

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Abstract:Lifelong digital companions must integrate cross-session cues, continually update their understanding of users, and adapt to shifting privacy boundaries. Existing evaluations fail to capture this, testing memory recall and short-term empathy in isolation. To bridge this gap, we introduce \benchmark, a benchmark centered on multi-session \textit{Memory-Emotion-Environment} loops. By modeling users as persistent worlds with layered profiles and event trajectories, \benchmark uses multi-agent simulation to project environmental dynamics into dialogue, preserving the critical gap between latent thoughts and observable expressions. Evaluating 2,000 personas and 111K tasks across memory tracking, user understanding, privacy control, and emotional companionship, our experiment results reveal a stark reality: even models that saturate current memory benchmarks fail to sustain accurate user understanding and true companionship over long horizons.
Comments: 28 pages, 23 figures, 7 tables
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2606.04660 [cs.CL]
  (or arXiv:2606.04660v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2606.04660
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Yuqian Wu [view email]
[v1] Wed, 3 Jun 2026 09:37:25 UTC (4,949 KB)
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