GitHub Agentic Workflows aim to automate repository management by using AI tools like GitHub Copilot, Claude, and OpenAI Codex. Each morning, users can receive updates on repository improvements, including automatic issue triaging, CI failure analysis, and documentation maintenance. The workflows are defined through markdown files, simplifying the process compared to traditional YAML configurations. Developed by GitHub Next and Microsoft Research, these workflows incorporate security features, such as sandboxed execution and limited permissions, to ensure safe operation. Key features include a deep integration with GitHub Actions, Issues, and Pull Requests, allowing for a seamless user experience. Workflows can adapt to different contexts, improving decision-making through AI. The system also supports various AI engines, facilitating a continuous application of AI to enhance software collaboration. Built-in guardrails ensure that workflows operate with read-only permissions by default, requiring explicit approval for any write operations, which helps maintain control over repository changes. An example workflow, the Daily Issues Report, illustrates how the system can generate status updates. It uses an AI coding agent to analyze repository context and produce reports in natural language, making it accessible for users without extensive coding knowledge. Other capabilities include automated triage for issues and pull requests, continuous documentation updates, and daily metrics reports. Getting started is straightforward, involving the installation of an extension and the creation of workflows directly through GitHub's web interface, streamlining the process for users.