Imagine a world where improvements to your repositories are automatically delivered as pull requests each morning, ready for you to review. Issues are automatically triaged, CI failures analyzed, documentation maintained, test coverage improved and compliance monitored - all defined via simple markdown files. GitHub Agentic Workflows deliver this: repository automation, running the coding agents you know and love, in GitHub Actions, with strong guardrails and security-first design principles. Use GitHub Copilot, Claude by Anthropic or OpenAI Codex for event-triggered, recurring and scheduled jobs to improve, document and analyze your repository. GitHub Agentic Workflows are designed to augment your existing, deterministic CI/CD with Continuous AI capabilities GitHub Agentic Workflows has been developed by GitHub Next and Microsoft Research with guardrails in mind. Agentic workflows run with minimal permissions by default, with explicit allowlisting for write operations and sandboxed execution to help keep your repository safe. Guardrails Built-InSection titled “Guardrails Built-In” Workflows run with read-only permissions by default. Write operations require explicit approval through sanitized safe outputs (pre-approved GitHub operations), with sandboxed execution, tool allowlisting, and network isolation ensuring AI agents operate within controlled boundaries. Example: Daily Issues ReportSection titled “Example: Daily Issues Report” How they work: Write - Create a .md file with your automation instructions in natural language Compile - Run gh aw compile to transform it into a GitHub Actions workflow with guardrails (.lock.yml) Run - GitHub Actions executes your workflow automatically based on your triggers Here’s a simple workflow that runs daily to create an upbeat status report: ---on: schedule: dailypermissions: contents: read issues: read pull-requests: readsafe-outputs: create-issue: title-prefix: "[team-status] " labels: [report, daily-status] close-older-issues: true---## Daily Issues ReportCreate an upbeat daily status report for the team as a GitHub issue. The gh aw cli converts this into a GitHub Actions Workflow (.yml) that runs an AI agent (Copilot, Claude, Codex, …) in a containerized environment on a schedule or manually. The AI coding agent reads your repository context, analyzes issues, generates visualizations, and creates reports - all defined in natural language rather than complex code. Daily code simplification, refactoring, and style improvements Slash commands for on-demand analysis and automation Continuous documentation maintenance and consistency Automated triage, labeling, and project coordination Daily reports, trend analysis, and workflow health monitoring Scanning, alert triage, and compliance monitoring CI failure diagnosis, test improvements, and quality checks Feature sync and cross-repo tracking workflows DailyOps, research, and automated maintenance Your browser doesn't support HTML5 video. Download the video here. Install the extension, add a sample workflow, and trigger your first run - all from the command line in minutes. Creating WorkflowsSection titled “Creating Workflows” Your browser doesn't support HTML5 video. Download the video here. Create custom agentic workflows directly from the GitHub web interface using natural language.