GitHub Agentic Workflows

GitHub Agentic Workflows (gh-aw) is an agent orchestration harness and GitHub CLI extension created by GitHub to deploy and automate AI coding agents within GitHub repositories and GitHub Actions pipelines. It functions as an orchestration layer that standardizes how autonomous agents execute repository tasks. Through the GitHub CLI and automated repository workflows, gh-aw manages execution environments, credentials, and tooling for agent systems including GitHub Copilot SWE agent, Claude Code, and Model Context Protocol (MCP) servers. Unlike interactive, standalone TUI coding assistants that focus exclusively on a developer's local prompt session, gh-aw is designed to orchestrate background and CI/CD-driven agentic loops. It automates agent actions across issues, pull requests, and automated workflows while maintaining safety boundaries through sandboxed enclaves and workflow validation. The project is open source on GitHub and operates against your configured AI provider credentials (such as GitHub Copilot or Anthropic/Claude tokens) and GitHub Actions infrastructure.

Tags: agent harness, ai agent, cli, coding agent, developer tools

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Key features

  • GitHub CLI Native Extension — Integrates directly into developer terminals via gh aw commands with onboarding wizards for credentials and configuration. - Multi-Agent Orchestration — Coordinates various coding agent backends, including Claude Code and GitHub Copilot SWE agent. - Model Context Protocol (MCP) Integration — Connects agents with external data sources and execution tooling via GitHub MCP servers. - Prepackaged Agent Skills — Supports specialized skill extensions, such as headless browser testing with Playwright CLI. - Security & Enclave Isolation — Enforces workflow template validation, architecture constraints, and isolated enclaves for safe agent execution.

Use cases

Use Case: Automated Issue Remediation Configure background workflows where autonomous agents triage repository issues, generate regression tests, implement fixes, and open pull requests automatically.

Use Case: End-to-End Skill Execution Equip CI-based agents with custom tool suites like Playwright CLI to run visual checks and web interactions before committing workflow outputs.

Use Case: Multi-Agent Pipeline Orchestration Standardize how different underlying models (e.g., Copilot and Claude Code) are invoked across GitHub Actions with uniform MCP server contexts.

Who it is for

Designed for platform engineers, repository maintainers, and DevOps teams who want to run automated agent workflows inside GitHub repositories and CI/CD pipelines. It is not meant for developers looking for a purely local, interactive prompt-and-response chat terminal without GitHub integration.

Install guide

Installation Install the GitHub Agentic Workflows extension using the GitHub CLI: bash gh extension install github/gh-aw

First Run Run the configuration wizard to onboard credentials and configure repository agent settings: bash gh aw add-wizard Ensure your target repository has the appropriate secrets set for Copilot or Claude API access.

Example Session Validate and dispatch an agentic workflow run directly from your terminal: bash # Check agent workflow configuration gh aw status # Trigger an agent workflow on a repository issue gh aw run .github/workflows/agentic-task.yml

Part of CLI Coding Agents

Categories: AI Coding Agents, Code Assistants, Developer Tools

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