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Central Agentic Ops

Note

Research prototype: Features and interfaces may change.

Tip

Agents: Use the setup skill to create a control plane and the debug skill when CAO fails.

Central Agentic Ops (CAO) brings GitHub Agentic Workflow runs, costs, and outcomes into one dashboard, then adds policy-governed execution when you are ready. It operates from a control repository across explicitly enrolled repositories. CAO does not replace repository permissions, branch protection, or human review.

Open a local dashboard

Use your locally authenticated GitHub CLI to install the release extension and inspect a repository:

gh auth status
gh extension install githubnext/gh-cao
gh cao dashboard --repo OWNER/REPOSITORY

No CAO cloud deployment, Azure setup, hosted dashboard, PostgreSQL, Redis, containers, or separate Node.js or gh-aw installation is required. From an existing repository checkout, use gh cao dashboard without --repo. No gh cao setup or control-repository configuration is needed.

Open the Dashboard: URL printed in the terminal. The bundled Go server serves on loopback and queries canonical SQLite cached on your machine. Collection uses your GitHub CLI identity to read GitHub evidence and refreshes automatically every five minutes: no cloud deployment does not mean offline. The recent evidence window and session lifetime default to, and cannot exceed, 48 hours; collection is bounded, not a complete historical backfill. Press Ctrl-C to stop serving and collection while retaining the cache. See the local dashboard quickstart for scope, cache reuse, and evidence limits.

Set up shared monitoring when ready

Git and authenticated GitHub CLI 2.68+ are required. Need a repository? Create one with gh repo create OWNER/REPOSITORY --private --clone, then cd REPOSITORY.

From the repository root:

gh cao setup

Setup makes this the control repository by preparing the monitoring runtime, policy, and gh-aw. It does not install or run a campaign, and it keeps changes local unless you separately approve commit and push. A published setup reports deployment pending; an empty dashboard is normal until Agentic Workflow evidence exists.

Use a private control repository for non-public evidence. Production dashboards use same-origin Go/PostgreSQL hosting; local development uses the same Go server over a real SQLite snapshot. GitHub Pages hosts only the Synthetic enterprise demo, with the same canonical pipeline, queries, and views but no live services. Setup does not configure Pages.

Tip

SAML-token installation failure: Use the curl installer: curl -fsSL https://raw.githubusercontent.com/githubnext/gh-cao/main/install-gh-cao.sh | bash -s -- --setup.

Follow Set Up CAO for authentication, scope, publication, and your first dashboard visit.

Add work when ready

Start with one repository in review; live outputs require explicit reviewed policy and declared safe-output capabilities. Describe the outcome and scope first—campaigns are one way to scale work, not a prerequisite. See From Outcome to Execution and the campaign catalog. You can also inspect verified Repo Assist examples without running more work.

For agents, install the CAO plugin and use the task skill: setup-cao, debug-cao, add-cao-campaign, create-cao-campaign, analyze-cao, or cao-cli.

Read the docs

  • What CAO is and its safety boundaries
  • CLI commands, authentication, and deployment, including Actions artifacts and the Pages demo
  • Dashboard evidence and agent analysis
  • Operations, updates, and recovery
  • Documentation site and compact agent context

Want to contribute? Read Contributing and follow the Code of Conduct. For help, check Support. Report vulnerabilities privately through Security.

Maintained by GitHub Next.

Acknowledgements: CAO's service design principles are inspired by SAP's Calesi pattern for CAP-Level Service Integration: domain-level interfaces, protocol-independent consumption, fast local development, interchangeable implementations, and deliberate extensibility.

Licensed under the MIT License.

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GitHub Central Agentic Ops

gh.io/cao

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