Automate GitHub + YouTube
Where the code — and half the process — lives. Long-form content worth repurposing everywhere else. Put an agent between them and the hand-off stops being manual: it reads, decides, acts, and shows its work.
First-Pass Reviewer is a ready-made agent built around GitHub; point its last step at YouTube to finish this hand-off.
Automations teams run
Unlike field-mapping automation, the step in the middle is an agent: it can summarise, classify, judge and draft, not merely copy values from GitHub into YouTube.
When a PR opens or merges in GitHub…
…an agent can pull transcripts and stats in YouTube — after reading the context and deciding it should.
When an issue is filed in GitHub…
…an agent can draft descriptions and chapters in YouTube — after reading the context and deciding it should.
When a release is cut in GitHub…
…an agent can summarise comments in YouTube — after reading the context and deciding it should.
When a video is published in YouTube…
…an agent can comment on PRs and issues in GitHub — with the reasoning recorded in the run’s receipt.
When a comment arrives in YouTube…
…an agent can open issues with structured detail in GitHub — with the reasoning recorded in the run’s receipt.
Copy this GitHub → YouTube workflow
Start with the github-api node and the youtube-api node. Configure the GitHub source payload, the agent input, and the YouTube operation. The sequential template does not implement conditional writes or approval by itself.
This is a schema-checked starting point, not an end-to-end tested automation. Replace every CONFIGURE_ value, choose the operations you intend, connect credentials and map source outputs into later inputs. An edge orders steps; it does not supply a condition, an approval gate or a field mapping. Add and test those controls explicitly before any write. Cloud APIs and model providers may receive data. Keep the workflow inactive until tested with fixtures.
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"description": "Setup template for Agent Chat. Chat with an AI agent from your agent library. Select an agent and send messages to interact with it within your workflow. Configure credentials, inputs and output mapping before use.",
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"type": "youtube-api",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"action": "ADD_VIDEO_TO_PLAYLIST",
"playlistId": "CONFIGURE_PLAYLISTID"
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"description": "Setup template for YouTube API. Interact with the YouTube API to manage videos, comments, playlists, and more. Configure credentials, inputs and output mapping before use.",
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}Configure GitHub API
Interact with GitHub: repos, branches, files, issues, comments, pull requests, reviews, releases, Actions/CI, and search.
- action — The action to perform on GitHub Current example:
GET_AUTHENTICATED_USER. - owner — The owner of the repository (not needed for account-level or search actions) Current example:
CONFIGURE_OWNER. - repo — The name of the repository (for CREATE_REPO: the name of the new repository) Current example:
CONFIGURE_REPO.
Configure YouTube API
Interact with the YouTube API to manage videos, comments, playlists, and more.
- action — The action to perform on YouTube Current example:
ADD_VIDEO_TO_PLAYLIST. - playlistId — The ID of the playlist Current example:
CONFIGURE_PLAYLISTID.
Install First-Pass Reviewer
First-Pass Reviewer is a working agent built around GitHub. Install it, point its last step at YouTube, and you have this hand-off without building it from an empty canvas.
Runs on your own machine · See what it does
Build it in AGNT
- Get AGNT Community Core. Free, local, no sign-up needed to run a workflow.
- Add both connections to the vault — GitHub takes one OAuth sign-in, YouTube takes one OAuth sign-in.
- Configure the nodes above, or start from a marketplace workflow and edit it. The agent in the middle is the part worth spending time on.
- Run it once with an approval gate in place. The receipt tells you what it read, what it concluded, and what it changed in YouTube.
GitHub and YouTube — common questions
Can I connect GitHub to YouTube without writing code?
No code is required. Add both connections in the vault (GitHub uses one OAuth sign-in, YouTube uses one OAuth sign-in), then either install a marketplace workflow for this pair or drag the two nodes onto the canvas and put an agent between them.
How is this different from a field-mapping GitHub to YouTube automation?
The difference shows up on the messy inputs. A rule chain needs every case enumerated in advance; an agent handles first-pass review on every diff the way a colleague would — reading the GitHub context, judging it, then writing to YouTube with the reasoning recorded.
Does my GitHub and YouTube data leave my machine?
Not to us. AGNT runs locally and both sets of credentials are encrypted on your own disk. Outbound traffic goes only to GitHub, YouTube and whichever model you chose — and pointing that at Ollama or LM Studio keeps everything on your hardware.
What does a GitHub and YouTube run leave behind?
Every run is recorded end to end — the GitHub items examined, the decision and its reasoning, the resulting YouTube write. That record is what makes it reasonable to let this run unattended, and what lets you widen its remit on evidence.
