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WTF is OpenClaw? : One of the biggest open-source AI agent systems on the internet. Connect it to Telegram, tools, memory, workflows, and it basically becomes your AI employee.

WTF is Hermes Agent? : A newer AI agent system focused on speed, memory architecture, stability, and self-improving workflows. Think “AI operating system” instead of just chatbot.

OpenClaw was the King 👑

Big ecosystem, Lots of hype, Everyone was testing it.

But after a few updates, I started seeing the same pattern:

Fix one thing, Break three things.

Telegram got slower. The agent didn’t feel as reliable anymore.

Then I tried Hermes.

Different feeling. Hermes was simply faster and kind of better.

Let's see what it can really do.

I’m Alex, Welcome to Shortcu8 by Innov8

Lets Dive Deep 🐰

Today's Shortcut

Most Viral AI Agent

Most AI agent users started with OpenClaw.

It has the biggest ecosystem, the most integrations, and the loudest community.

You probably tried it first.

Then things got messy. Updates broke your bot. Workflows that worked yesterday failed today for no clear reason.

That's not a skill issue. That's an architecture issue.

What I actually tested

I ran both through Telegram. That's where the differences showed up immediately.

Hermes replied faster. Sessions stayed clean through long conversations. Repeated tasks felt smoother after the first few runs.

OpenClaw felt heavier as conversations grew. After recent updates, it became noticeably less reliable.

The surprising part: Hermes felt more production-ready than OpenClaw, despite having the smaller ecosystem.

The real problem is memory architecture

AI agents need memory. But how they handle memory determines everything speed, cost, and whether your session survives 30 exchanges or falls apart at 10.

OpenClaw keeps injecting context back into the prompt continuously. The longer your session runs, the heavier the prompt gets. This is what causes the slowdown you feel. It's not your internet. It's memory bloat.

Hermes routes memory into layers instead.

Hot memory stays in the prompt.

Cold memory and deep memory sit in retrieval layers and only get pulled when needed.

The prompt stays lean. Provider-side caching kicks in. Sessions stay fast.

The other thing Hermes does that OpenClaw doesn't match: Skills.

These are procedural memory reusable workflows that Hermes builds from your repeated task patterns.

The more you use it, the more it learns your playbook. OpenClaw has a skills ecosystem, but it's mostly static. Hermes Skills actually evolve.

Where OpenClaw still wins

Be honest: OpenClaw has more integrations, a larger community, and more people building around it right now. If you need maximum plugin support or want to experiment with bleeding-edge agent setups, OpenClaw is still the answer.

The honest verdict

Best AI Agent Right now.

OpenClaw made AI agents mainstream. That matters. But the crown is slipping.

Hermes feels engineered. OpenClaw feels experimental.

For daily Telegram workflows, long sessions, and anything where stability matters Hermes is the better choice right now.

Bigger doesn't always mean better. Better memory architecture does.

Now go build something.

The ShortList

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