Agent走向长线协作的关键一战：AML首期揭榜，谁将引领下一代记忆范式革命
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Merged summary
TL;DR - The inaugural Agent Memory Leaderboard (AML) ranks MemoraX first overall at 58.0 and InvMem first among open-source methods at 45.1. It introduces a standardized framework for comparing long-term memory systems independently of answer-generation models.
- AML standardizes Add/Search interfaces while fixing answer models, prompts, judges, and aggregation rules.
- Its evaluation spans 10+ benchmarks, 1,500+ long-horizon tasks, and seven text-memory capability dimensions.
- MemoraX led every evaluated text-memory dimension; open-source leaders InvMem, ReFind, and ActiveMemoryIndex scored closely.
- The results highlight a shift from basic retrieval toward active memory governance, isolation, lifecycle management, and realistic end-to-end evaluation.
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Agent走向长线协作的关键一战：AML首期揭榜，谁将引领下一代记忆范式革命
Public signals
N/A
TL;DR - The inaugural Agent Memory Leaderboard (AML) ranks MemoraX first overall at 58.0 and InvMem first among open-source methods at 45.1. It introduces a standardized framework for comparing long-term memory systems independently of answer-generation models.
- AML standardizes Add/Search interfaces while fixing answer models, prompts, judges, and aggregation rules.
- Its evaluation spans 10+ benchmarks, 1,500+ long-horizon tasks, and seven text-memory capability dimensions.
- MemoraX led every evaluated text-memory dimension; open-source leaders InvMem, ReFind, and ActiveMemoryIndex scored closely.
- The results highlight a shift from basic retrieval toward active memory governance, isolation, lifecycle management, and realistic end-to-end evaluation.