Archon + GitHub

Archon connects a managed AI workforce to GitHub through GitHub App or OAuth. Agents handle issue triage, pull request context, release workflows, with read and write access governed by approval queues and audit logs inside your security perimeter.

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Developer & Cloud

What Archon runs on GitHub.

Engineering teams use this connector to automate the toil around shipping: agents watch pipelines, summarize incidents, file and update issues, and keep deployment context flowing to the right people.

Issue triage

Pull request context

Release workflows

Secure operating layer

Governed access, by default.

Infrastructure access uses least-privilege service identities. Read and notify paths run freely; anything that mutates infrastructure requires human approval.

01

Scoped credentials

Connection through GitHub App or OAuth, limited to the data and actions the approved workflow requires. Credentials stay inside your perimeter.

02

Human approval gates

Consequential actions wait in your approval queue. Nothing irreversible ships without a named human decision.

03

Audit everything

Every GitHub action an agent takes is logged with source, prompt path, and reviewer, ready for your security team.

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FAQ

GitHub questions.

How does Archon authenticate with GitHub?+
Through GitHub App or OAuth, with scoped credentials managed inside your security perimeter. Agents receive only the permissions the approved workflow requires, and credentials never leave your deployment boundary.
Can Archon agents write back to GitHub?+
Access is read and write. Write actions route through human approval queues, audit logs, dry-run validation, and rollback paths before they touch production data.
What does Archon typically run on GitHub?+
Issue triage, pull request context, release workflows. Engineering teams use this connector to automate the toil around shipping: agents watch pipelines, summarize incidents, file and update issues, and keep deployment context flowing to the right people.

Get started

Put GitHub to work with an AI workforce.

Bring the workflow and the system owner. We will map the connector, the controls, and the first production deployment.

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