Sử dụng VPS hay máy local để thiết lập Openclaw

This course covers building automated AI agents using OpenClaw, comparing deployment options between VPS (Virtual Private Server) and local machines. The content discusses setup considerations, infrastructure choices, and implementation strategies for running OpenClaw agents in production or development environments.

Key Points

• •Choose between VPS and local machine deployment based on your use case, scalability needs, and resource availability
• •VPS deployment offers better uptime, remote accessibility, and scalability for production AI agents
• •Local machine setup is ideal for development, testing, and learning OpenClaw without infrastructure costs
• •Consider resource requirements (CPU, RAM, storage) when selecting deployment environment
• •VPS provides persistent agent operation without depending on personal computer availability
• •Local development allows for rapid iteration and debugging of AI agent workflows
• •Evaluate cost-benefit analysis: VPS monthly costs vs. local hardware investment and electricity
• •Security considerations differ between VPS (managed security) and local (self-managed) deployments
• •Network connectivity and latency impact agent performance differently on VPS vs. local setups
• •Hybrid approach possible: develop locally, deploy to VPS for production use

Workflow Diagram

Concepts