π¬ Fully automated YouTube channel management with AI agents. Creates, optimizes & publishes videos 24/7. Works with FREE Gemini API or OpenAI. No coding required!
YouTube Automation Agent
What's New in v2.1
- Real AI generation wired in β the Content Strategy, Script Writer, and SEO agents now call your configured AI provider (OpenAI, OpenRouter, Kimi, MiMo, GLM, or Gemini) for topics, scripts, titles, descriptions, and tags. If no provider key is set, they fall back to the built-in templates so the pipeline still runs.
- API protection β set
API_KEYin.envand the mutating endpoints (POST /generate,POST /publish/:id) require a matchingx-api-keyheader. Request bodies are validated and size-limited. - Safer publishing β default privacy is now
private(setDEFAULTPRIVACYSTATUS=publicto opt in), and the uploader streams the real video file β it refuses to upload placeholder assets from simulated runs. - Startup and scheduler fixes β added the missing
sharpdependency (the app previously crashed on boot), created the missingautomation_eventstable (every scheduled task previously threw on logging), fixed the double-insert in the content pipeline, and fixed the publish-queue removal. - No more fabricated statistics β template scripts no longer invent numbers like "90% of peopleβ¦".
- Cleaner repo β removed two dead OAuth flows (
authenticate.js,simple-auth.jsused Google's long-deprecated OOB flow), dead dependencies (cron,jimp), broken npm scripts, and committed build artifacts. Added ESLint (npm run lint) and GitHub Actions CI.
What's New in v2.0
- Model upgrades across the board β GPT-5.5 / GPT-5.5 Instant replace GPT-4-turbo, GPT Image 2 replaces DALL-E 3, Gemini 3.5 Flash/Pro replace Gemini 1.x, ElevenLabs Eleven v3 replaces v1, Wan 2.7 replaces Stable Video Diffusion
- OpenAI SDK v6 β upgraded from v4, along with
@google/genaiv2.9,replicatev1.4,googleapisv173 - Revamped setup wizard β new TTS service picker (OpenAI TTS / ElevenLabs / Azure), ElevenLabs credential setup, updated model selection menus
- Fixed deprecated API patterns β OpenAI v3 SDK calls in credential testing replaced with v4+ patterns
- Dynamic year in content strategy β no more hardcoded "2025" in trend analysis prompts
- README rewrite β developer-focused docs with Mermaid architecture diagrams, no fluff
Fully automated YouTube channel management system. AI agents handle content strategy, scriptwriting, thumbnail generation, SEO, publishing, and analytics β end to end, on a daily schedule.
Built by
@darkzOGx. Solo builder shipping AI automation and developer tools.
Find me on X and laderalabs.io.
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Architecture
graph TD
A[Content Strategy Agent] --> B[Script Writer Agent]
B --> C[Thumbnail Designer Agent]
B --> D[SEO Optimizer Agent]
C --> E[Production Management Agent]
D --> E
E --> F[Publishing & Scheduling Agent]
F --> G[Analytics & Optimization Agent]
G -->|feedback loop| A
How It Works
Each agent handles one stage of the pipeline:
| Agent | Role | |-------|------| | Content Strategy | Analyzes YouTube trends, identifies topics, plans content calendar | | Script Writer | Generates scripts with hooks, storytelling, CTAs | | Thumbnail Designer | Creates thumbnails, runs A/B variations | | SEO Optimizer | Keywords, titles, descriptions, tags | | Production | Coordinates TTS audio, image assets, video assembly | | Publishing | Uploads, schedules, manages playlists | | Analytics | Tracks performance, feeds insights back to strategy |
AI Providers
All OpenAI-compatible providers work out of the box β the system auto-configures the SDK base URL. Pick one, or use OpenRouter to access everything through a single key.
graph LR
subgraph Direct
OA[OpenAI<br/>GPT-5.5]
GM[Gemini<br/>3.5 Flash/Pro]
KM[Kimi<br/>K2.6]
MM[MiMo<br/>V2.5 Pro]
GL[GLM<br/>GLM-5]
end
subgraph Router
OR[OpenRouter<br/>300+ models]
end
Direct --> YAA[YouTube Automation Agent]
Router --> YAA
| Provider | Models | Base URL | Cost | |----------|--------|----------|------| | OpenAI | GPT-5.5, GPT-5.5 Instant | api.openai.com/v1 | ~$0.05β0.20/video | | OpenRouter | 300+ (GPT, Claude, Gemini, Kimi, GLM, etc.) | openrouter.ai/api/v1 | varies by model | | Google Gemini | Gemini 3.5 Flash, 3.5 Pro | via @google/genai SDK | free tier available | | Kimi (Moonshot AI) | Kimi K2.6, K2.5 | api.moonshot.ai/v1 | ~80% cheaper than GPT-5.5 | | MiMo (Xiaomi) | MiMo V2.5 Pro, V2.5 | api.xiaomimimo.com/v1 | competitive | | GLM (Zhipu AI) | GLM-5, GLM-5.1 | api.z.ai/api/paas/v4/ | ~$1/M input tokens |
Additional integrations: Anthropic Claude (claude-opus-4-8), ElevenLabs (Eleven v3 TTS), Replicate (Wan 2.7 video), local models via Ollama, any OpenAI-compatible endpoint.
Quick Start
git clone https://github.com/darkzOGx/youtube-automation-agent.git
cd youtube-automation-agent
npm install
cp .env.example .env
cp config/credentials.example.json config/credentials.json
npm run setup # interactive credential wizard
npm start
Dashboard runs at http://localhost:3456.
Prerequisites
- Node.js 18+
- FFmpeg on your PATH (used for video assembly and audio muxing)
- Google account (YouTube Data API β free)
- At least one AI provider key (OpenAI or Gemini) β without one, agents fall back to template-based generation
Configuration
API Keys
YouTube Data API (required, free)
- Create a project in Google Cloud Console
- Enable YouTube Data API v3
- Create an OAuth 2.0 client (Desktop app)
- Save the JSON as
config/credentials.json
OpenAI
- Get a key from platform.openai.com
- Set
OPENAIAPIKEYin.env
OpenRouter (easiest β one key, all models)
- Get a key from openrouter.ai/keys
- Set
OPENROUTERAPIKEYin.env
Google Gemini
- Get a key from Google AI Studio
- Set
GEMINIAPIKEYin.env
Kimi / MiMo / GLM
| Provider | Get key at | Env var | |----------|-----------|---------| | Kimi (Moonshot AI) | platform.kimi.ai | MOONSHOTAPI_KEY | | MiMo (Xiaomi) | mimo.mi.com | MIMOAPI_KEY | | GLM (Zhipu AI) | z.ai | GLMAPI_KEY |
Environment Variables
# AI provider β pick one (or use OpenRouter for access to all)
OPENAIAPIKEY=sk-...
OPENROUTERAPIKEY=sk-or-...
GEMINIAPIKEY=...
MOONSHOTAPIKEY=...
MIMOAPIKEY=...
GLMAPIKEY=...
Optional: premium TTS
ELEVENLABSAPIKEY=...
ELEVENLABSVOICEID=...
Optional: AI video generation
REPLICATEAPIKEY=...
App config
NODE_ENV=production
PORT=3456
CHANNEL_NAME=Your Channel Name
TARGET_AUDIENCE=Your target audience
YOUTUBE_REGION=US
DEFAULTPRIVACYSTATUS=private
Optional: protect mutating API routes (POST /generate, /publish)
API_KEY=some-long-random-string
Automation Schedule
gantt
title Daily Pipeline
dateFormat HH:mm
axisFormat %H:%M
section Content Generate content (strategy + script + thumbnail + SEO) :06:00, 2h
section Publishing Process publishing queue :crit, 08:00, 14h
section Analytics Collect analytics :09:00, 1h Run optimizations :22:00, 1h
The scheduler runs automatically after npm start. Content generation at 06:00, publishing queue processed every 15 minutes, analytics at 09:00, optimization at 22:00. Weekly strategy reviews run on Sundays.
API
# health check
curl http://localhost:3456/health
generate a video on demand (send x-api-key if API_KEY is set in .env)
curl -X POST http://localhost:3456/generate \
-H "Content-Type: application/json" \
-H "x-api-key: $API_KEY" \
-d '{"topic": "Top 10 Life Hacks", "style": "list"}'
view schedule
curl http://localhost:3456/schedule
get analytics
curl http://localhost:3456/analytics
publish a specific content item
curl -X POST http://localhost:3456/publish/:contentId
Production Pipeline
flowchart LR
subgraph TTS["Audio Generation"]
direction TB
EL[ElevenLabs v3] -.->|fallback| OA[OpenAI TTS]
OA -.->|fallback| SIM1[Simulation]
end
subgraph IMG["Image Generation"] direction TB GPT[GPT Image 2] -.->|fallback| SIM2[Simulation] end
subgraph VID["Video Assembly"] direction TB WAN[Wan 2.7 I2V] -.->|fallback| PW[Playwright Slideshow] PW -.->|fallback| SIM3[Simulation] end
TTS --> MIX[FFmpeg Mux] IMG --> VID VID --> MIX MIX --> OUT[Final Video]
Each stage has graceful fallbacks. If a paid API key isn't configured, the system simulates that step so the rest of the pipeline still runs.
Extending
Custom AI provider
// utils/ai-service.js
const Anthropic = require('@anthropic-ai/sdk');
class ClaudeAIService { constructor(apiKey) { this.client = new Anthropic({ apiKey }); } async generateContent(prompt) { const message = await this.client.messages.create({ model: 'claude-opus-4-8', max_tokens: 1024, messages: [{ role: 'user', content: prompt }] }); return message.content[0].text; } }
Custom content types
// agents/content-strategy-agent.js
const contentTypes = {
'podcast': {
duration: '10-15 minutes',
style: 'conversational',
thumbnail: 'podcast-style'
},
};
Project Structure
youtube-automation-agent/
βββ agents/ # one file per agent
βββ config/ # credentials, example configs
βββ database/ # SQLite schema and access layer
βββ data/ # generated content and assets
βββ schedules/ # cron-based automation
βββ utils/ # AI service wrappers, logging, credential management
βββ .github/ # CI workflow (lint + tests on every push/PR)
βββ index.js # Express server + agent initialization
Troubleshooting
| Problem | Fix | |---------|-----| | YouTube API quota exceeded | Check quotas in Google Cloud Console; reduce posting frequency | | Content generation failed | Verify API keys and credits; check logs/ | | Publishing failed | Re-authenticate YouTube OAuth tokens; check video format |
Enable debug logging:
NODEENV=development DEBUGMODE=true npm start
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Contributing
- Fork the repo
- Create a feature branch
- Make changes and add tests
- Submit a PR
git clone <your-fork>
cd youtube-automation-agent
npm install
npm run lint # must pass β CI runs this on every PR
npm test
License
MIT β see LICENSE.
Acknowledgments
- OpenAI β GPT-5.5, GPT Image 2, GPT-4o-mini-tts
- OpenRouter β unified multi-model API
- Google β YouTube Data API, Gemini 3.5
- Moonshot AI β Kimi K2.6
- Xiaomi β MiMo V2.5
- Zhipu AI β GLM-5
- ElevenLabs β Eleven v3 TTS
- Replicate β Wan 2.7 video generation
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This tool is for legitimate content creation. Comply with YouTube's Terms of Service and Community Guidelines.