insym/hermes-agent-reasoning-traces

Hermes Agent Reasoning Traces是一个用于训练AI代理的多轮工具调用轨迹数据集。该数据集包含两种配置，分别来自Moonshot AI Kimi-K2.5和ZhipuAI GLM-5.1-FP8模型。每个样本都是真实的代理对话，包含逐步推理（`<think>`块）和实际工具执行结果。数据集的结构包括ID、对话、工具定义、任务类别和子类别等字段。数据集涵盖了多种任务类别，如终端与编码、代理工具、存储库任务、浏览器自动化等。数据集是通过真实工具执行生成的，而非合成输出。

Hermes Agent Reasoning Traces is a multi-turn tool-calling trajectories dataset for training AI agents. The dataset has two configs, one per source model: Moonshot AI Kimi-K2.5 and ZhipuAI GLM-5.1-FP8. Each sample is a real agent conversation with step-by-step reasoning (`<think>` blocks) and actual tool execution results. The dataset schema includes fields like ID, conversations, tool definitions, task category, and subcategory. It covers various task categories such as Terminal & Coding, Agent Tools, Repository Tasks, Browser Automation, etc. The dataset was generated using real tool execution, not synthetic outputs.