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Building a Fully Local, System-Wide AI Agent CLI on Linux

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Cloud-based agentic CLI tools are undeniably convenient, but sending internal terminal workflows, system commands, and proprietary files to third-party endpoints is a persistent privacy risk. Running a fully local, autonomous agent directly on your workstation eliminates subscription costs, avoids rate limits, and grants you unconstrained access across all your attached drives. This guide details how to pair Ollama with Open Interpreter on modern Linux (Ubuntu), resolve tricky runtime quirks like Python 3.14 native builds and removed modules, map persistent storage, and create a one-click desktop launcher. System Architecture The setup consists of two layers: Inference Engine (Ollama): Serves local open-weight models with hardware GPU acceleration. Agent Harness (Open Interpreter): Interprets natural language queries, writes code, and executes Bash or Python commands directly on your system. For agentic coding and file management, qwen2.5-coder:14b provides an optimal balance of c...
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Install Windows 7 pro in VMware workstation

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Install windows 7 pro on VMware workstation 15x if you have a newer version use a custom installation


Make sure you use VMware workstation 15x or the PC may crash during windows update



You'll need a product key , I recommend this website or there are others just search for one


Choose how much storage you'll need


You can customize your installation here 

You'll need to install VMware tools. A easy way to get it to install is to manually remove the CD/DVD drive and floppy drive , then adding the CD/DVD drive again 


Just tap on 'edit this virtual machine' 



Start the VM again and go to the VM menu and install VMware tools should not be greyed out





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