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Atomic Bot

One-click OpenClaw macOS app

Productivity
Open Source
Artificial Intelligence

The simplest way to run OpenClaw. Atomic Bot works locally or in the cloud with your own LLM keys. It’s fully open source and free.

Top comment

We built Atomic Bot because OpenClaw is powerful, but the setup process scares people off. Atomic Bot is a macOS app that gets you from download to a running OpenClaw AI agent in ~60 seconds — running locally on your Mac, so your workspace stays private. Question for builders: what are your must-have OpenClaw skills or integrations on day 1?

Comment highlights

Love what you're doing with the one-click approach, Konstantin. Setup friction is the #1 barrier to OpenClaw adoption and you're solving it elegantly for Mac users. We're tackling the same problem from the hardware side with ClawBox — a dedicated NVIDIA Jetson box that comes with OpenClaw pre-installed. Zero setup, runs 24/7 on 15W, no need to keep your Mac running. Would be cool to explore a partnership — Atomic Bot for Mac users, ClawBox for dedicated always-on setups. The ecosystem needs both!

I didn’t even think about getting into it because I was sure that after the first five minutes of working on this task, I’d start procrastinating.

Now it doesn’t feel scary anymore — I’m going to give it a try.

Thank you!

Nice one click local setup removes the biggest friction for OpenClaw adoption. Would love a quick visual activity monitor so users trust what the agent is doing in real time.

@gladkos Congratulations. And happy product launch.

This is exactly the kind of thing the OpenClaw ecosystem needs. Software setup is one barrier, but hardware is another — that's why we built ClawBox (also on PH!), a dedicated NVIDIA Jetson box that runs OpenClaw 24/7 on 15 watts. Atomic Bot for Mac + ClawBox for always-on dedicated hardware = the full spectrum covered. Great to see more builders making OpenClaw accessible!

Does Atomic Bot pin to a specific OpenClaw version or pull whatever is latest on install? After CVE-2026-25253 hit, the update cadence matters a lot for a one-click wrapper. Bundling a known-good version with signed checksums would keep that drag-and-drop simplicity without shipping a stale binary.

This is a great opportunity for everybody to test OpenClaw easily without spending hours on setting it up! Thank you!

Hi! I’m the founder. My previous product, Atomic Crypto Wallet, reached 15M users and $100M ARR. After that, I started looking for something new and fresh.

AI is exciting, but it feels like a huge corporate field — everything is so centralized. Then Clawbot blew my mind.

I’m more of a business guy than a hardcore engineer, and setting up OpenClaw on my Mac mini was painful. Terminal, curl, keys… seriously? The gap to mass adoption is massive.

So we thought — why not make this simple?

With our engineering team, we shipped Atomic Bot in just one week: a one-click OpenClaw app for macOS. It’s private, local, free, and open-source — and mobile is coming soon.

We launched on Twitter and got 100K views and 1,000 downloads within hours. The demand is incredibly motivating.

You’re very welcome to try Atomic Bot — and feel free to ask any questions! 🦞

One-click local agent apps tend to hit scale pain on dependency drift and supply-chain risk: a single upstream OpenClaw or model update can brick installs or change behavior unexpectedly.

Best practice is pinned, reproducible bundles (signed binaries, checksummed models) plus a plugin sandbox with capability-based permissions and an audit log for every tool invocation.

How are you packaging and updating OpenClaw under the hood (embedded runtime vs managed install), and will you expose per-skill permission prompts and a safe “dry-run” mode for risky actions?

Love this! I’m pretty technical — comfortable with the command line and all that — but it still took me a couple of days (yes, days) to get OpenClaw set up, and I still wasn’t happy with the security.

With AtomicBot you just drag the icon into the Applications folder and you're done. So many new AI tools are powerful, but the barrier to entry is still way too high. We need more tools like this.