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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.AI2026

OpsMem: Dual-Memory Reasoning with Cross-Memory Resonance for Failure Diagnosis

Yongqian Sun, Rongchen Gao, Yu Luo +6

The paper presents OpsMem, a dual‑memory framework that combines a short‑term memory of the current diagnostic state with a long‑term memory of reusable operational experience, usi…

cs.SE2026

AgentTether: Graph-Guided Diagnosis and Runtime Intervention for Reliable LLM Agent Operation

Chenyu Zhao, Shenglin Zhang, Wenwei Gu +5

Large language model (LLM) agents are increasingly used for multi-step, stateful tool-use tasks, yet production reliability remains limited. Unlike static software repair, agent re…

cs.SE2026

KRCA: An Efficient Root Cause Analysis System in Hyper-scale Microservice Systems via Agentic AI

Jiamin Jiang, Jingfei Feng, Yu Luo +10

Hyper-scale microservice systems have become the standard infrastructure for large-scale Internet companies. These systems consist of numerous loosely coupled microservices that ev…

cs.SE2026

Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents

Chenyu Zhao, Shenglin Zhang, Yihang Lin +7

Software engineering agents are increasingly deployed in evaluable engineering environments, yet post-failure recovery remains costly, manual, and ad hoc. Existing systems expose t…

cs.SE2026

Which Types of Heterogeneity Matter for Root Cause Localization in Microservice Systems ?

Runzhou Wang, Shenglin Zhang, Wenwei Gu +5

Microservice root cause localization is fundamentally challenged by the inherent heterogeneity of cloud-native systems, which encompasses diverse observability data and multiple sy…