MemoryBench
A benchmark for evaluating the memory capabilities of AI models.
Core Facts
Timeline (last 90 days)
In the MemoryBench test, Muse Wonder achieved 85.5% accuracy, exceeding Claude Opus 5.5's 81.5% and GPT-6 Astra's 81.4%.
On MemoryBench, Wonder defeated Fable, Opus, and Astra; on the Artificial Analysis index, Wonder Full ranks second, behind only Opus 5.5.
MemoryBench and the 'Personal Superintelligence Index' are both Meta internal benchmarks using LLM judging, which carry vendor self-evaluation bias.
Multi-turn conversation configuration addresses the context memory problem, determining how many rounds of historical information an agent can retain during continuous dialogue.
All Facts (4)
Multi-turn conversation configuration addresses the context memory problem, determining how many rounds of historical information an agent can retain during continuous dialogue.
75%UnverifiedIn the MemoryBench test, Muse Wonder achieved 85.5% accuracy, exceeding Claude Opus 5.5's 81.5% and GPT-6 Astra's 81.4%.
50%UnverifiedOn MemoryBench, Wonder defeated Fable, Opus, and Astra; on the Artificial Analysis index, Wonder Full ranks second, behind only Opus 5.5.
50%UnverifiedMemoryBench and the 'Personal Superintelligence Index' are both Meta internal benchmarks using LLM judging, which carry vendor self-evaluation bias.
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