Put an AI agent to work inside GitHub
Connect GitHub in one click and hand off the busywork: an autonomous agent that triages and labels issues, summarizes pull requests in plain English, drafts release notes, and turns support reports into clean issues. You set the autonomy, it does the work.
7-day trial · Cancel anytime
Fleece AI connects to GitHub through managed OAuth and lets autonomous agents read and create issues, apply labels, comment on and summarize pull requests, tag releases, and read repository activity. Agents combine GitHub with 3,000+ other apps — Slack, Notion, Gmail, Google Sheets — so a new issue becomes a triaged and labeled task, a merged PR becomes a release note, and a support email becomes a well-formed bug report, all under the approval rules you set.
At a glance
| Category | Developer |
|---|---|
| Availability | Starter plan and up — included in the 7-day trial |
| Connects to | 3,000+ apps via managed OAuth |
| Setup | Connect your tools — no code required |
| Autonomy | Suggest-only to fully autonomous, with approval gates |
| Pricing | 7-day trial (€1 card check, credited back), then paid plans |
By Loïc Jané · Updated June 10, 2026
What a Fleece agent does with GitHub
GitHub is where the work of shipping software actually lives — issues and their labels and milestones, pull requests with reviews and checks, releases, discussions, and repositories full of history that no one has time to read twice. The friction is not the code; it's the coordination around it. Issues pile up unlabeled, duplicates go unnoticed, pull requests wait on someone to read the diff, and release notes get written by hand at the last minute. A Fleece agent sits on top of your repositories and takes that layer off your plate. It reads the issues and pull requests you point it at, understands them in context, and acts: it labels, comments, links, drafts, or escalates, according to the instructions you give it in plain language.
Under the hood, the connection runs through managed OAuth — you authorize GitHub once, and Fleece handles tokens, scopes, and refresh securely. The agent can open and update issues, apply and remove labels, set milestones, comment on issues and pull requests, read a PR's diff and summarize it, detect likely duplicates, and read release and repository activity. Event triggers let it react in real time when an issue is opened, a pull request is ready for review, or a release is published — no polling, no delay — while scheduled flows let it run a nightly triage sweep or a weekly stale-issue report on its own.
What makes this different from GitHub Actions or a stock bot is judgment. A workflow in Actions runs a fixed script on a trigger; it cannot read the actual text of an issue, decide whether it duplicates an existing one, write a human summary of a 600-line diff, or pull the customer's context from your support inbox. Because Fleece agents work as a hierarchy — a lead agent delegating to specialized child agents — one GitHub-facing agent can hand a research question to one agent, a data lookup to another, and a Slack update to a third, then report back on the issue. Actions automate steps; agents handle the parts that need a read on the situation.
What the agent can do in GitHub
Issue triage and labeling
Reads new issues, applies the right labels and milestone, flags likely duplicates, and routes each one to the right area or owner.
Pull request summaries
Reads the diff and posts a plain-English summary of what changed and why, so reviewers and stakeholders grasp a PR without scrolling it.
Release notes drafting
Turns merged pull requests since the last tag into grouped, readable release notes, ready for you to review before publishing.
Reports into clean issues
Takes a bug report from Slack or Gmail and files a well-formed issue with steps, context, and labels — no half-written tickets.
Real-time triggers
Reacts the moment an issue is opened, a PR is ready for review, or a release is published, through event-based triggers rather than polling.
Approval gates
Anything sensitive — closing an issue, posting a public comment, publishing a release — pauses for your one-click sign-off before it happens.
Automations teams run on GitHub
These are concrete setups you can describe to a Fleece agent in plain language. Each one combines GitHub with other connected apps.
Maintainers: triage the issue queue while you sleep
When an issue is opened, the agent reads it, applies labels for area and type, sets a milestone if the rules are clear, and searches open issues for likely duplicates — linking and commenting when it finds one. Anything that looks like a security report or a paying-customer outage gets escalated to the on-call engineer in Slack with a one-line summary and the issue link.
Reviewers: pull requests you can read at a glance
When a pull request is marked ready for review, the agent reads the diff, posts a plain-English summary of what changed and the risk areas, and pings the right reviewer in Slack instead of a raw notification. If checks fail, it comments with a summary of the failing step rather than a wall of log output, so the author knows what to fix.
Releases: notes that write themselves
On a schedule or when you tag a release, the agent collects the pull requests merged since the last tag, groups them into features, fixes, and chores, and drafts readable release notes. It posts the draft to a Notion page for the team to review, then — once approved — comments the notes on the release and announces it in the Slack release channel.
Support to engineering: reports become real issues
When a confirmed bug comes in through a Slack support channel or Gmail, the agent turns it into a well-formed GitHub issue with reproduction steps, environment, and labels, and links back to the original conversation. It logs the incoming report in a Google Sheets tracker so support and engineering share one view of what's outstanding and how often it recurs.
How to connect GitHub to Fleece AI
Create your Fleece account
Sign up and start the 7-day trial. You land in a workspace where agents, flows, and integrations live together.
Connect GitHub via managed OAuth
Pick GitHub from the integrations catalog and authorize it in one click. Fleece manages tokens and scopes for you; you can revoke access at any time from GitHub or from Fleece.
Describe the job in plain language
Create an agent and tell it what to watch and what to do — "triage new issues in this repo, label them, flag duplicates, and escalate security reports to #oncall". No flowchart building required.
Set autonomy and approval gates
Choose what the agent may do on its own and what waits for your sign-off. Closing issues, public comments, and publishing releases can pause for one-click approval.
Run it on triggers or a schedule
Let the agent react to GitHub events in real time, or schedule recurring flows — a nightly triage sweep, a weekly stale-issue report — that run without you.
GitHub works better with the rest of your stack
GitHub automations get powerful when they cross app boundaries. Pair GitHub with Slack to turn PRs and issues into readable alerts where engineers already are, with Notion to keep a project tracker and release notes in step with the repo, with Gmail to turn support emails into well-formed issues, or with Google Sheets to log bug reports and track how often they recur — all through the same agent, all under the same approval rules. Fleece connects to 3,000+ apps, so the stack you already use is almost certainly covered.
Frequently asked questions
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Put GitHub on autopilot
Connect GitHub in one click, describe the job in plain language, and let an autonomous agent handle triage, summaries, and release notes. 7-day trial, cancel anytime.
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