https://www.youtube.com/watch?v=QQEgIo4Juxg

I am not added as meeting host for todays webinar so I cannot start the webinar. I have text Alex and Dar. I will sit on for about 10 min to see if it gets resolved.

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: - orchestrators - specialized agents - local models - cloud reasoning models - persistent memory systems - tool chains - autonomous workflowsall working together as one ecosystem.

I’ve really been struggling with Openclaw having it do what I want and forgetting things we talked about even being in the same thread we literally talked about it earlier on slack. Hermes agent is killing it so far and staying on top of everything and easily filling the gap where Openclaw is lacking. I’m lost at what I should do. Spending the money that I did to get productivebot it sucks but I don’t know how to fix it. Anyone have any suggestions?

https://www.home-assistant.io/