OpenClaw AI Agent: 81M Tokens and Server Conflicts
In a real-world install, OpenClaw turned out to be not a "lightweight agent" but a heavy autonomous system. Trying to run it on an ordinary VDS led to conflicts with existing services, problems with local models and enormous token consumption: in three days the agent burned about 81 million. Without a dedicated server and a clear budget, a deployment like this easily becomes an expensive experiment.
AI-processed from Habr AI; edited by Hamidun News
The OpenClaw AI agent looks like a universal solution, but a hands-on install showed the opposite: the agent readily conflicts with neighboring services, is demanding about models and hardware, and its token consumption (81 million) quickly gets out of control.
How do you deploy an autonomous AI agent on a server?
The OpenClaw experience exposed serious difficulties: the agent conflicts with services already installed (React, PostgreSQL, n8n, Telegram bots), requires powerful hardware and specific models, and burns through tokens uncontrollably.
Why does an autonomous AI agent need so many resources?
The agent conflicts with neighboring services (React, PostgreSQL, n8n), is picky about model choice, and requires reinstallation when configuration errors occur.
Why does an AI agent demand so much computing power?
OpenClaw consumes 81 million tokens during testing and conflicts with neighboring services on a single VDS, requiring powerful hardware and correct configuration.
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Key Questions Answered
How do you deploy an autonomous AI agent on a server?
The OpenClaw experience exposed serious difficulties: the agent conflicts with services already installed (React, PostgreSQL, n8n, Telegram bots), requires powerful hardware and specific models, and burns through tokens uncontrollably.
Why does an autonomous AI agent need so many resources?
The agent conflicts with neighboring services (React, PostgreSQL, n8n), is picky about model choice, and requires reinstallation when configuration errors occur.
Why does an AI agent demand so much computing power?
OpenClaw consumes 81 million tokens during testing and conflicts with neighboring services on a single VDS, requiring powerful hardware and correct configuration.
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