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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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Windows 10X on Hyper-V emulator

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Use this guide if you have an amd processor

For use with Hyper-V manager in windows 10 pro



First we need to enable virtualisation in bios settings, mine was called secure virtual machine = enabled

Go to control panel, programs, turn windows features on and off. Scroll down & check the Hyper-V tab


Search for Hyper-V manager in Cortana 

Create a new virtual machine 

Tap on New virtual machine and browse to the vhdx file


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