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Agent Memory Capabilities Benchmarked Across Models
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Recommended reading and a super-interesting benchmark for measuring continual learning capabilities through memory. Agent memory is largely unsolved. As agents advance in capabilities like long-horizon work, it's unclear which models or harnesses work best, or which memory systems and types to use. Opus 5.5 at the top is not a surprise. But it's exciting that open-weight models like GLM-5.3 perform so well on memory generation. My big question is how this (better memory systems and…
Letta_AI@Letta_AI3d ago
Introducing FrontierMemory: a new way to evaluate agent memory through downstream task performance. While existing memory benchmarks focus on recall (saturated via agentic search), FrontierMemory focuses on how agents learn from experience.
