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agent/papers/items/2026-2607-18754-agentdebugx-an-open-source-toolkit-for-failure-observability-attribution-and-rec.md
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# Paper: AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents
---
type: paper
title: "AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents"
authors: Kunlun Zhu, Xuyan Ye, Zhiguang Han, Yuchen Zhao, Bingxuan Li, Weijia Zhang, Muxin Tian, Xiangru Tang, et al.
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2607.18754
code_url:
source: arxiv
collected_at: 2026-07-27
published_at: 2026-07-21
updated_at: 2026-07-21
status: queued
relevance: high
topics:
- agent-evaluation
- computer-use
- memory
- tool-use
- workflow-agent
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.AI
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 18
collection_queries: llm-agent
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: llm-agent
- inferred topics: agent-evaluation, computer-use, memory, tool-use, workflow-agent
- arXiv categories: cs.AI
- collection score: 18
## Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from `queued` to `skimmed` or `summarized`?
## Links
- arXiv: https://arxiv.org/abs/2607.18754