ZeroClaw vs OpenClaw: It's Not Even Close

Описание: The AI agent showdown you didn't know you needed. ZeroClaw just dropped — a Rust-based autonomous AI agent that runs on 6-8MB of RAM. Meanwhile, Open Claw needs 2GB minimum. But does lightweight mean better?

In this hands-on comparison, I install ZeroClaw using an Open Claw instance (yes, really), test it on Telegram with Venice API, and give you my honest verdict after 2 hours of discovery.

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What you'll learn in this video:
• The technical difference between static binaries vs Node.js runtime (explained simply)
• Why Zero Claw can run on $10 hardware while Open Claw needs a Raspberry Pi 5
• How to install Zero Claw through an AI agent in Docker
• The brutal truth about Zero Claw's skill installation process
• Which framework actually wins for solopreneurs vs developers

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🔧 TOOLS USED IN THIS VIDEO:
Openclaw (https://openclaw.ai/)
ZeroClaw (https://github.com/zeroclaw-labs/zero...)

⏱️ TIMESTAMPS:

00:00 - Why I Had to Test Zero Claw
00:30 - Battle of the Agents: Specs Face-Off
01:21 - The RAM Difference Will Shock You
01:45 - Static Binary vs Node.js (Simple Explanation)
02:26 - Using Open Claw to Install Its Competitor
03:47 - Github Benchmarks: The RAM Race
05:15 - What $10 Hardware Can Actually Run This?
06:49 - Waiting for Compilation (Worth It?)
08:00 - Testing Zero Claw on Telegram
08:36 - Skills Installation: Where It Falls Apart
10:17 - My Final Verdict: The Winner Is...
11:26 - Who Should Actually Use Zero Claw?

Whether you're building autonomous AI workflows or just curious about the next generation of lightweight agents, this comparison cuts through the hype and tells you what actually matters.

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For the algorithm:

zeroclaw setup
how to install zeroclaw
how to set up zeroclaw
zero claw install