AI Agents A-Z (GitHub repository)
Overview
This repository collects the n8n templates and supporting resources used in the "AI Agents A-Z" YouTube series. Each episode in the series demonstrates a practical AI agent or automation pattern and the repo provides the corresponding n8n workflow(s) so viewers can import, inspect, and adapt them for their own use. The project is oriented toward no-code/low-code automation using n8n as the orchestrator and integrates with various AI services and custom MCP/REST servers for media generation.
What’s included
- Episode templates: per-episode n8n folders and example workflows covering tasks such as:
- prescription agent, daily digest, LinkedIn post automation with human-in-the-loop approval,
- deep research agents using web search, blog/article writing pipelines, lead-gen with X-Ray searches,
- automated short video creation and narration (integration with custom MCP/REST servers),
- image/video generation workflows using multiple image models and tools,
- social media scheduling and influencer/UGC workflows.
- Related servers and docker images referenced in the README, e.g. short-video-maker and narrated-story-creator (used as MCP/REST backends in episodes).
How to use
- Install and run n8n (self-hosted or cloud) and create necessary credentials for the external services you want to use.
- Import the provided workflow JSON files into your n8n instance.
- Configure credentials, API keys, and any MCP/REST endpoints (the repo lists companion servers and Docker images used in the demos).
- Test and adapt the templates to your own data and services; many workflows assume you will provide your own model/API credentials and media endpoints.
Target audience
- No-code/low-code builders who use n8n to orchestrate AI tools.
- Content creators looking to automate social media, short-video, or blog generation pipelines.
- Developers who want example integrations between workflow orchestrators (n8n) and custom MCP/REST media servers.
Notable details
- The repository references multiple episodes (Season 1 and later episodes listed in the README), showing a broad set of real-world examples for AI-driven automations.
- Companion repositories and Docker images are referenced for server components (short-video-maker, narrated-story-creator, and others) to run media generation workloads.
- Users should check the repo for any license and follow usage terms for third-party models or services used in the workflows.
Where to look next
- Import episode folders that match your use case and follow the episode video for step-by-step guidance.
- Inspect and run companion server images if you want the same media endpoints used in the demonstrations.
