AgentTorrent: A Dataset of Context and Harness Engineering Artifacts on GitHub

Sebastian Baltes, Seyedmoein Mohsenimofidi, Levi Böhme, Vahram Nersesyan, Muhammad Auwal Abubakar +3

Over the past months, developers have moved from formulating detailed prompts to engineering the context that agentic coding tools read and to configuring the underlying harnesses. For example, developers commit context files, skills, hooks, and MCP configurations to their repositories, and these files control which instructions a harness reads and which actions it can take. Developers may also commit the specs, plans, and task files that agentic coding tools and spec-driven development frameworks write for agents to implement. The AgentTorrent dataset records these files for six proprietary and open-source agentic coding tools in 10,944 engineered software projects on GitHub. It contains 62,374 configuration artifacts, the files that these artifacts import, 27,593 agentic planning documents, and more than 1.2 million commits that credit an AI tool. All heuristics used for data collection are grounded in tool documentation or derived from GitHub repositories, and we evaluate their detection accuracy with each collection. We use open-weight models to classify whether GitHub repositories host engineered software projects. Unlike most datasets, AgentTorrent links configuration…