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meituan-longcat/VitaBench-2.0 — GitHub trending stats & insights | Trendshift
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meituan-longcat/VitaBench-2.0
#
AI agent
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Python
29
2
2 contributors
MIT License
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Two benchmarks, same finding. Adding memory to AI agents makes them worse, not better. CL-Bench: ACE burns 8x the budget. Scores less than doing nothing. VitaBench 2.0 (ICLR 2026): memory drops…
@agentxagi · x.com
🙊 Models don't truly understand your preferences — they guess. In personalized scenarios, when critical info is missing, models act instead of clarifying. Claude's score drops from 46.0 to 27.4 on…
@Meituan_LongCat · x.com
🚀#LongCat releases VitaBench 2.0 The first benchmark for long-term dynamic user modeling in real-world agents 56 real users,819 tasks,2000+ preferences,66 tools Avg. 2093 interaction per user across…
@Chinazhidx · x.com
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