OpenClaw vs Flowise vs n8n: Which AI Agent Platform Should You Self-Host?

If you've decided to self-host an AI agent, your next question is probably: which platform?

The open-source ecosystem has several solid options, but three keep coming up in conversations: OpenClaw, Flowise, and n8n. They all let you run AI-powered automation on your own server, but they approach the problem very differently.

This guide compares all three — honestly, with no sugarcoating — so you can pick the one that fits your use case.

Quick Overview

OpenClaw

What it is: An AI agent platform designed specifically for conversational AI. You install it, connect AI providers (OpenAI, Anthropic, OpenRouter), set up messaging channels (Telegram), and you've got a working AI agent.

Philosophy: Purpose-built for running AI agents. It focuses on conversations, channels, and skills rather than trying to be a general-purpose automation tool.

Flowise

What it is: A visual AI workflow builder. It lets you create AI chains and agents by dragging and dropping nodes on a canvas — connecting LLMs, vector databases, tools, and outputs into flows.

Philosophy: No-code / low-code. Built for people who want to design AI workflows visually without writing code.

n8n

What it is: A general-purpose workflow automation platform. Think Zapier, but self-hosted and open source. It connects to hundreds of services and can include AI nodes as part of larger automation workflows.

Philosophy: Automation-first. AI is one of many capabilities, not the core focus.

Head-to-Head Comparison

When to Pick OpenClaw

Choose OpenClaw if your primary goal is running a conversational AI agent.

OpenClaw shines when you want:

• A dedicated AI agent that people can talk to through messaging channels (Telegram today, more channels coming)
• Multi-provider flexibility — Switch between GPT-4, Claude, or OpenRouter models from a dashboard without changing any code
• Simplicity after setup — Once it's running, you manage everything from a clean web dashboard. No flow-building, no node-connecting. Just configure and go
• A skills system — Extend your agent's capabilities with modular skills

OpenClaw's sweet spot: You want a private AI assistant or customer-facing chatbot deployed on your own server, accessible via Telegram (or other channels), with the ability to switch AI providers without hassle.

Where it's less ideal: If you need complex multi-step workflows with dozens of integrations (use n8n for that), or if you need a visual drag-and-drop flow builder (use Flowise).

When to Pick Flowise

Choose Flowise if you want to build AI workflows visually without writing code.

Flowise is great when you want:

• A visual flow builder — Drag LLM nodes, connect them to vector databases and tools, and see the entire chain on a canvas
• RAG (Retrieval-Augmented Generation) — Flowise has strong support for building RAG pipelines with vector stores
• Rapid prototyping — The visual interface lets you experiment with different AI architectures quickly
• No-code approach — Business users and non-developers can build and iterate on AI flows

Flowise's sweet spot: You're building AI-powered document search, RAG chatbots, or custom AI chains, and you want to design them visually.

Where it's less ideal: If you want a production-grade AI agent that handles real conversations on messaging platforms (Telegram is not a native integration — you'd need to build a custom flow for that). Flowise is more of a "build AI chains" tool than an "operate an AI agent" tool.

When to Pick n8n

Choose n8n if AI is just one part of a larger automation workflow.

n8n excels when you want:

• Broad integrations — n8n connects to 400+ services: Google Sheets, Slack, databases, APIs, CRMs, email, and more
• Complex workflows — Multi-step automations that trigger on events, transform data, and interact with multiple services
• AI as a component — You want to use GPT-4 to process data that came from a webhook, and then send the result to Slack and save it to a database
• Workflow scheduling — Cron-based triggers, webhook listeners, event-driven automation

n8n's sweet spot: You need a self-hosted Zapier/Make.com alternative that can include AI nodes. For example: "When a new email arrives → extract the key info with GPT-4 → create a CRM entry → notify the team on Slack."

Where it's less ideal: If your primary goal is running a conversational AI agent. n8n can do it, but it's not optimized for it. It's a workflow tool, not an agent platform.

The Real-World Decision

Most people fall into one of these patterns:

"I want a chatbot I can talk to on Telegram." → OpenClaw. It's purpose-built for exactly this.

"I want to build a custom AI pipeline that searches my documents." → Flowise. The visual builder makes it fast to experiment.

"I want to automate my business, and some steps should use AI." → n8n. It has the integrations and workflow engine for complex automation.

"I want all three." → Honestly, you can run all three on the same server if it's beefy enough. They serve different purposes and complement each other well.

How to Deploy OpenClaw

If OpenClaw sounds right for your use case, here's how to get started:

The Fast Way: ActivateClaw

ActivateClaw deploys OpenClaw onto a dedicated Hetzner VPS for you. Sign up, pick a subdomain, and you'll have a working instance in just a few minutes. One flat monthly fee for a dedicated server (4 vCPU, 8GB RAM, 80GB SSD) with everything pre-configured.

The Manual Way

Provision a VPS, SSH in, install Node.js, clone the repo, configure your environment, set up a reverse proxy and SSL. Total time: 60-90 minutes. Cost: about $14/month on Hetzner.

For Flowise and n8n, both have excellent documentation for Docker-based deployment. Check their respective GitHub repositories.

Final Thoughts

There's no single "best" platform — just the best one for what you're trying to do. Pick based on your actual use case, not GitHub star counts:

• Conversational AI agent: OpenClaw
• Visual AI workflows: Flowise
• General automation with AI: n8n

The good news? They're all open source, all self-hostable, and all free to try. Pick one, deploy it, and start building. You can always add the others later.