Your AI agent for GitHub
Repositories generate more signals than any team can read: issues, pull requests, CI failures, stale branches. An Upchat agent connected to GitHub triages the flow, summarizes what matters and prepares routine work, so engineers spend time building instead of sorting.
What your agent can do
Triage incoming issues
The agent labels, deduplicates and routes new issues with a first diagnostic, so the backlog stays clean and real bugs surface faster.
Summarize pull requests
Long PRs get a readable summary: what changed, what risks, what to review first. Reviewers start from context, not from the diff.
Draft first-pass reviews
Style issues, missing tests, risky patterns: the agent leaves a first review pass with concrete comments, and humans focus on design decisions.
Watch CI and releases
Failing checks get diagnosed with the probable cause and a suggested fix, and release notes get drafted from merged PRs.
Agents that use it most
Guides to go further
Common questions
- Can the agent merge or push code?
- Only under rules you define. Most teams let it comment, label and draft, while merges stay human. Every action is visible in the normal GitHub audit trail.
- Does it work on private repositories?
- Yes. You connect the organizations and repos you choose, with the permissions you grant. The agent sees only what you allow, and nothing leaves your setup.
- How is this different from GitHub Copilot?
- Copilot helps one developer write code inside an editor. An Upchat agent works at the repository level: issues, reviews, CI, releases, and it coordinates with your other tools like your tracker or chat.
More integrations
Gmail
Google Sheets
Notion
HubSpot
IntercomCreate your agent in seconds
Pick a model, connect your tools, and your agent starts working with your team. Early access is open.