一句话：提出 Graphectory Viewer，将异构智能体轨迹转为阶段感知图，支持交互式过程分析。
软件智能体的执行轨迹通常来自不同框架、格式异构，且现有分析多聚焦于最终任务结果，难以刻画问题求解的过程性行为结构。本文提出 Graphectory Viewer：一个基于 Web 的交互式工具，它建立在作者此前提出的 Graphectory 表示之上，将异构原始轨迹转化为阶段感知图，从而把低层执行细节与高层行为结构连接起来。工具支持多智能体框架的轨迹导入、交互式图构建、对想法/动作/观察的节点级检查、面向大规模轨迹集合的搜索与过滤，以及 Sankey 风格的问题求解阶段转移摘要。这些能力使研究者与实践者能够检查单次执行、识别反复出现的行为模式、比较成功与失败运行，并超越最终任务结果来分析大规模轨迹语料。为支持可复现性与后续研究，作者以开源制品形式发布该工具，并提供文档、预计算图与大规模轨迹语料。
We present Graphectory Viewer, a web-based tool for interactive, process-centric analysis of software-agent trajectories. Building on the Graphectory representation introduced in our previous work, Graphectory Viewer transforms heterogeneous raw trajectories into phase-aware graphs that connect low-level execution details with higher-level behavioral structures. The tool supports trajectories from multiple agent frameworks and provides interactive graph construction; node-level inspection of thoughts, actions, and observations; search and filtering over large trajectory collections; and Sankey-style summaries of problem-solving phase transitions. These capabilities enable researchers and practitioners to inspect individual executions, identify recurring behavioral patterns, compare successful and failed runs, and analyze large trajectory corpora beyond final task outcomes. To support reproducibility and further research, we release Graphectory Viewer as an open-source artifact together with documentation, precomputed graphs, and the large-scale trajectory corpus.