GitHub Automation
A pull request waits four days for review, and three new issues turn out to be the same bug filed three times.
Your repo shouldn't need a babysitter. AI agents triage incoming issues with labels and an owner, link the duplicates, draft release notes, and nudge stale pull requests — confirming with a human before paging the team.
You
From connected to handled in three steps
No code, no setup project — connect once and your agent gets to work, with you in control of anything that ships.
Connect GitHub
Link your GitHub account in one click — no API keys to manage, no setup project. Your agent gets secure access to do the work.
Your agent works in GitHub
It triage, label, and route new issues, draft pull-request descriptions and release notes, and more — reasoning over your data and drafting each action with full context.
You approve before it ships
Every change and message waits for your one-click approval, so nothing leaves GitHub without your sign-off.
The work your GitHub agent takes off your plate
Real operational tasks, drafted and executed — not just rules and triggers.
Your agent labels each issue, notes reproduction steps, and assigns an owner — confirming severity before escalating.
Your agent assembles release notes from merged pull requests since the last tag.
Your agent finds pull requests waiting on review and drafts a reminder to the right person.
Your agent sends each new issue to the right team by detecting the part of the codebase it touches.
Built for teams that run lean
AI automation agencies
Running GitHub for five clients means five accounts to stay on top of. Your agent handles them all from one place — drafting, updating, and acting, with your approval on anything that ships.
Lean startup teams
You can't hire a full-time ops person yet. Your agent runs the busywork in GitHub — triage new issues, draft release notes — so you stay focused on the product.
The managed agent, not another rulebook
Most teams reach for spreadsheets, a half-built script, or a brittle automation rule. Here's the difference.
Every record, reply, and update in GitHub is on you — and the queue never stops growing.
Your agent does the repetitive GitHub work and you just approve what matters.
Wiring up your own GitHub automation means code, hosting, credentials, and ongoing maintenance.
AgentOrg is fully managed — connect GitHub and your agent is working in minutes, nothing to maintain.
Rule-based tools fire blindly — no judgment, no context, and no approval step before they act.
Your agent understands your GitHub data, drafts the right action, and waits for your sign-off.
GitHub in end-to-end workflows
See how agents use GitHub alongside your other systems to run a job from start to finish.
GitHub Issue Automation
Keep your tracker trustworthy. AI agents triage new issues with labels and an owner, link the duplicates, and post the high-priority ones to the team — confirming severity with a human before paging anyone.
Project Automation
Keep every project moving without the coordination grind. AI agents update statuses, draft progress reports, and chase blockers across Asana, ClickUp, Jira, and Notion — with your approval before anything's assigned or shared.
Sprint Automation
Run tighter sprints with less overhead. AI agents plan the sprint, triage incoming issues, keep tickets in sync with code, and draft standups across Jira, GitHub, and your tracker — confirming priority with you before anything escalates.
More integrations in developer tools
If your stack has more than GitHub in it, an agent can work across the rest of it too.
Datadog
Datadog alerts fire all night and by morning you can't tell the real incident from the noise.
GitLab
Four merge requests are waiting on a review, one of them failed the pipeline on a flaky end-to-end test, and you find all of this out during standup.
Sentry
One deploy turns into four thousand events of the same null check, and the three real regressions underneath it go unlooked-at until a customer writes in.
Supabase
You need one number out of production, so you open the SQL editor, write the join from memory, and hope the WHERE clause is right.
Vercel
Someone asks which build is live on staging, and answering it means three clicks per project across eleven projects.
GitHub questions, answered
What people ask before putting an AI agent to work — answered straight.
Yes — beyond Actions for CI, AgentOrg connects an AI agent that triages incoming issues, drafts release notes, links duplicates, and nudges stale pull requests. It confirms anything that pages the team with a human before acting.
Ready to automate GitHub?
Connect your tools, put an agent to work, and approve what matters. Free to start.