Trend research
Automatically identifies promising ideas and builds a content calendar around them.
- Trend monitoring via API
- Topic scoring by niche fit
- Calendar planning without manual guessing
YouTube Automation Agent is a fully automated channel management system that researches trending topics, writes scripts, generates thumbnails, optimizes SEO, schedules uploads, and learns from performance data every day.
No Claude required. You can run OpenAI, Gemini, Claude, Ollama, or any OpenAI-compatible API, then let the agents handle the rest.
What this does
The system is designed to run continuously. It handles the repetitive work around content discovery, writing, visual generation, metadata, publishing, and analytics so you can focus on the channel direction instead of the manual grind.
Automatically identifies promising ideas and builds a content calendar around them.
Creates stronger hooks, story flow, and clear calls to action for better watch time.
Builds clickable thumbnail concepts and supports A/B testing across designs.
Researches high-performing keywords and turns them into stronger metadata.
Queues uploads for the best time windows, then handles playlists and end screens.
Feeds data back into the pipeline so the next run gets smarter than the last one.
AI provider options
Use the model family that fits your quality goals, budget, and preferred workflow without rebuilding the system.
Best for professional creators who want high-quality writing and image generation.
Great for beginners and hobby creators who want a low-cost or free starting point.
Plug in Claude, local models, or any OpenAI-compatible API when you want control.
Agent architecture
Strategy feeds writing, writing feeds thumbnails, thumbnails feed SEO, SEO feeds publishing, and publishing feeds analytics.
Analyzes YouTube trends, finds viral topic opportunities, and plans the calendar automatically.
Writes engaging scripts with hooks, storytelling, and calls to action that support watch time.
Generates clickable thumbnail ideas and can compare multiple design directions.
Finds keywords, improves titles and descriptions, and manages tags and metadata.
Uploads videos, schedules them for optimal times, and manages playlists and end screens.
Reads results, finds patterns, and improves the next cycle so the system keeps learning.
Cost and setup
The YouTube API stays free within quota, OpenAI can be used for higher-end runs, Gemini offers a low-cost path, and hosting can start as a local machine or scale to a small VPS.
| Component | Free Tier | Paid Usage |
|---|---|---|
| YouTube APIQuota-limited but free to start | 10,000 units/day | Same quota structure, with higher limits possible via approval |
| OpenAIHigher quality generation path | No free tier | Roughly $0.20 per video, depending on usage |
| Google GeminiBudget-friendly default | 60 requests per minute | Very low token pricing for larger workloads |
| HostingRun locally or in the cloud | Local PC / Mac | $5-20 per month on a VPS |
| Total monthlyVaries by provider and scale | $0 to start | Typically $6-50 for a small production setup |
Quick start
The setup flow starts with the YouTube API, then you choose an AI provider, set your channel preferences, and start the automation loop.
Use Node.js 18+, a Google account, and one AI provider account to get started.
Pull the automation repo, install dependencies, and copy the example config files.
Collect YouTube credentials, choose OpenAI or Gemini, and set your posting rules.
Launch the service, test content generation, and let scheduled runs take over.
git clone https://github.com/darkzOGx/youtube-automation-agent.git
cd youtube-automation-agent
npm install
# Copy example files
cp .env.example .env
cp config/credentials.example.json config/credentials.json
# Run the interactive setup
npm run setup
# Start the automation engine
npm start
FAQ
A few quick answers to the setup and usage questions that usually come up first.
No. The setup is designed to be guided and config-first, so you mainly fill in credentials and preferences.
Yes. You can run multiple instances with different configurations when your workflow calls for it.
It should be used for original content and within YouTube guidelines. The system itself is just automation tooling.
It can be free with Gemini for many use cases, or roughly $10-50 per month with paid providers and hosting.
Yes. Tone, topic, format, and publishing schedule are all configurable.
Troubleshooting highlights: quota errors usually mean you need to check Google Cloud settings, content failures usually mean a provider key or credit issue, and publishing failures usually trace back to OAuth or channel permissions.