MemScope packages each memory architecture as a reusable "memory skill" with a natural-language specification file and an executable provider, separate from the runtime memory bank.
Execution traces enable precise localized repair of agent memory architectures
MemScope uses a tool-using Patch Agent to inspect raw traces, runtime memory, and code to identify and apply bounded, in-place edits, outperforming summary-based feedback on multiple benchmarks.
Research Lab
Miao Su · Yucan Guo · Zixuan Li · Long Bai · Zhongni Hou · Xiaolong Jin · +1 more
State Key Laboratory of AI Safety · Institute of Computing Technology, Chinese Academy of Sciences · University of Chinese Academy of Sciences · Meituan
Research Digest··3 min read
The authors introduce MemScope, a framework that evolves LLM agent memory architectures by inspecting fine-grained execution evidence rather than coarse evaluation scores.
Why this paper
From Institute of Computing Technology, Chinese Academy of Sciences and 3 others
In one line
Localized code repair using raw traces and memory state improves agent memory architectures more than coarse feedback.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ·No stated limitations found
- ✓Reports numbers on named benchmarks (4 benchmarks)
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
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