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I deployed OpenClaw on a laptop and learned exactly where it hits its limits

The open-source AI assistant OpenClaw offers a versatile platform for running local or cloud-based large language models on Linux systems, despite facing performance limitations with complex tasks.

Key Points

  • OpenClaw is a free, open-source AI agent that supports both local LLMs via Ollama and cloud-based models like Anthropic’s Claude.
  • Testing on an ASUS ROG Flow Z13 with a Ryzen AI Max 390 processor demonstrated the benefits of unified memory for running larger models like Gemma 4:12b.
  • The software requires a complex manual installation process on Arch Linux, involving specific configurations for ROCm or Vulkan drivers.
  • Performance tests revealed that while OpenClaw excels at basic text-based productivity tasks, it struggles with multi-step instructions and complex code generation.
  • The platform lacks native image generation capabilities, instead providing prompts for external agents to handle visual tasks.

Why it Matters

OpenClaw provides a privacy-focused alternative for users who want to run AI assistants locally on high-end hardware without relying entirely on cloud services. While it currently lacks the reliability of enterprise-grade tools, it serves as a functional, educational solution for those managing their own AI infrastructure.
MakeUseOf Published by Dipan Saha
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