If you've been anywhere near tech Twitter or LinkedIn lately, you've seen the word "claw" everywhere.
OpenClaw. NanoClaw. NemoClaw. ZeroClaw. And about a few more you probably missed.
Every one of them claims to be the AI agent you should be running. But no one has actually compared them. Not with real parameters, real scores, and real data across every variant.
So I did it.
I went through repos, official sites, technical breakdowns. Most popular 14 variants of Claw. 53 parameters. 10 categories. All scored.
49 pages + A Google Sheet + Visual Deck
Access the folder here —> https://drive.google.com/drive/folders/1CuQmcWkJCbayrq88HgQdaAxcUKd75ejp?usp=drive_link
Here's a taste of what came out:
ZeroClaw (81/100) topped the ranking. A Rust binary under 5MB that boots in 10 milliseconds and runs on a $10 Raspberry Pi.
OpenClaw (62/100) has 337K+ GitHub stars and 13,000+ skills but got dragged down by a documented RCE vulnerability and the incident where it wiped a Meta AI safety director's inbox.
NullClaw (54/100) was the wildcard. A 678KB binary using 1MB of RAM. Barely any features. But if you need one agent doing one job on the cheapest hardware alive, nothing touches it.
The biggest takeaway: there is no single best claw. The right one depends on whether you need security, speed, enterprise governance, self-improving agents, or zero setup.
That's exactly why this report exists. Every variant. Every parameter. Scored and laid out so you can match your constraints to the right tool without spending weeks reading GitHub READMEs.
49 pages + a Google Sheet + Visual representation you can filter yourself.

