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AgentRun: Open-Source DSL Converts Repetitive AI Agent Tasks into Workflows

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A developer behind grep.ai has open-sourced AgentRun, a domain-specific language (DSL) designed to transform repetitive AI agent tasks into structured, inspectable workflows. The tool allows developers to combine tool calls, code, and lightweight decision logic alongside full agent loops, using only a full agent where genuinely needed. AgentRun's harness analyzes traces and retrospective notes left by agents to identify which parts of a job can be converted into a reusable workflow, reducing unnecessary compute costs. As a practical example, a research workflow can break a question into sub-questions, dispatch parallel agents, screen evidence, and compile a final report as discrete, independently editable steps. The project is publicly available on GitHub and includes a scripted demo that runs without API keys.

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AgentRun: Open-Source DSL Converts Repetitive AI Agent Tasks into Workflows · ShortSingh