What can an AI agent do with GitHub?

A GitHub AI agent can triage new issues and assign them to the right owners, generate weekly engineering metrics (PRs merged, review time, issue velocity), monitor open PRs for overdue reviews, summarize release notes from merged PRs, and create or update issues. An autonomous AI agent for engineering teams.

Can my agent access private repositories?

Yes. The integration uses OAuth with the permissions you grant. It can access any repository your GitHub account has access to.

Does the integration support GitHub Enterprise?

The integration connects via GitHub's standard OAuth flow. GitHub Enterprise Cloud is supported; on-premises GitHub Enterprise Server may require additional configuration.

How is a GitHub AI agent different from GitHub Actions?

GitHub Actions automates code workflows like CI, deployment, and testing. A GitHub AI agent works at the reporting and management layer: triaging issues, summarizing PRs, and tracking velocity. It can combine GitHub data with Linear, Jira, or Slack in a single report.

Developer tools

GitHub, run by an agent.

An AI agent that reads repos, issues, and pull requests from your GitHub account.

Connect GitHub Book a demo

What it does without asking

27 tools

activity list repo s starred by authenticated user
activity list stargazers for repo
check if a gist is starred
check if a person is followed by the authenticated user
check if a pull request has been merged
check if a repository is starred by the authenticated user
check if a user can be assigned
check if a user can be assigned to a issue
check if a user follows another user
check if a user is a repository collaborator
check if a user is blocked by an organization
check if a user is blocked by the authenticated user
check private vulnerability reporting status
check team permissions for a project
check team permissions for a repository
compare two commits
create an issue comment
find pull requests
get a blob
get a pull request
get a repository
get check run
get commit statuses
get repository content
get the combined status for a specific reference
list check runs for a ref
list commits on a pull request

These run without asking so your agent can gather what it needs. create an issue comment is the only one that writes anything. Everything else your agent does here goes through approval: it shows you the plan first, and you can approve a recurring task once so it runs unattended after that.

A real run

An example of how a run works, including the approval step. Not a GitHub run.

Google Ads

Paid search

Working

review last week's google ads and cut wasted spend.

Queried Google Ads · last 7 days · 4 campaigns

Analyzed search terms · 312 terms · 18 with zero conversions

Drafted changes · 12 negative keywords · 2 budget shifts

Found $1,840/mo going to search terms that never convert. I'd add 12 negatives and move that budget to your two best campaigns. This changes the account, so it's your call before I touch anything.

Plan approval

Add 12 negative keywords stops $1,840/mo on terms with 0 conversions · reversible
Shift budget move the freed spend to your 2 best campaigns · roas 4.2×

Waiting for your approval. Nothing runs until a human decides.

example

Connecting GitHub

About 10 minutes

Auth: OAuth, managed
Setup: About 10 minutes

Example tasks

Real work people hand to an agent that uses GitHub.

Triage new issues daily and assign them to the right team members
Generate weekly engineering metrics: PRs merged, review time, issue velocity
Monitor open PRs and remind reviewers when reviews are overdue
Summarize release notes from merged PRs for each deployment

Questions

Common questions about putting an agent on GitHub.

Put an agent on GitHub.

Connect it, give it one task, see the first run today.

Try for free