A: Hey Pete!

Good question, and it's one we get often! Here's the short take on AgenticFlow vs. n8n:

1. n8n is great for:

Visually building specific, hard-coded automation paths by connecting nodes for known API actions. You tell it exactly how to do each step.

2. AgenticFlow offers advantages when you want more AI-driven flexibility and intelligence:

- AI Agents Decide the "How": Instead of you wiring every single node, you can equip an AgenticFlow Agent with tools (via 2500+ MCPs) and tell it your goal in plain English (e.g., "Summarize today's top 5 tech articles from these RSS feeds and post to Slack"). The Agent figures out which tools to use and in what order. What might take many nodes and complex logic in n8n can often be a single instruction to an AgenticFlow agent.

https://agenticflow.ai/mas-pre-order

Simpler Complex Logic: Handling variations, conditional paths, or processing unstructured data is often easier by just prompting an LLM within AgenticFlow, rather than building intricate branching logic with many n8n nodes.

Native AI & Multi-Agent Capabilities: AI is core to AgenticFlow, not just another node. We're built for Level 4 (Agents using tools) and are moving to Level 5 (Multi-Agent orchestration via our add-on), which is a step beyond n8n's typical workflow-centric approach.

Broader, Standardized Connectivity (MCP): Our MCP layer aims to simplify connecting to a vast array of tools with a more consistent interface.

In essence: If you have a very defined, step-by-step process with known APIs, n8n is solid. If you want more AI-driven decision-making, natural language control, and the ability to handle more unpredictable or complex tasks by delegating to intelligent agents, AgenticFlow brings a different, more "agentic" approach to the table. Many tasks that require a complex web of nodes in n8n can be achieved with a simpler instruction to an AgenticFlow agent.

Hope that helps highlight the difference!
— Sean