People Are Comparing Completely Different Types of AI

I think part of the confusion in a lot of these conversations is that people are lumping EVERYTHING under the word ‘AI’ like it’s all the same thing.

Claude, ChatGPT, Gemini, Grok, etc. are primarily conversational AI products. They’re polished chat interfaces sitting on top of very large foundation models. Their job is to give you a great direct user experience in a controlled environment.

But OpenClaw, Hermes, local models, agents, orchestrators, tool systems, memory systems, vector databases, automation pipelines, and autonomous workflows are an entirely different category of AI infrastructure.

That’s why comparing Hermes directly to OpenClaw is kind of like comparing:

an employeeto
an operating system for a company.

Hermes is an agent/model layer. It’s focused on reasoning, continuity, task execution, conversational flow, and staying locked into objectives.

OpenClaw is orchestration infrastructure. It’s managing:

model routing
fallbacks
memory hooks
integrations
APIs
local/cloud execution
automation
Telegram/Slack/Discord
tools
workflows
permissions
sandboxing
telemetry
session management

Most people entering AI right now only know the ‘chat app’ side of AI because that’s what exploded publicly first.

But once you move into autonomous systems, local AI, multi-agent frameworks, coding agents, workflow automation, persistent memory, and orchestration, you’re entering a completely different world.

That’s why a raw OpenClaw setup can sometimes feel rough compared to ChatGPT or Claude. You’re no longer just using a polished chatbot — you’re effectively building and tuning an AI operating environment.

And honestly, that’s where things are headed long term anyway.

The future probably isn’t one giant chatbot that does everything perfectly.

It’s: