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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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Google Play store for WSA on Windows 11 [unofficial]

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Uninstall any instance of WSA and enable development options in 'update and security'

Download the WSA package from here and adb toolkit from here

Make a folder named WSAUnpacked and unzip the WSA package into it 

Use a program like WinRAR or 7zip

Right-click on the WSAUnpacked folder 

Open PowerShell as administrator and type

 cd 

 paste the link to the WSAUnpacked folder 

Add-AppxPackage -Register .\AppxManifest.xml

This will install Windows Subsystem for Android with the Google Play store 

Open the start menu and tap on Windows Subsystem for Android app. Enable developer options in the app

Click on 'Files' to launch WSA 

Extract ADBKit in C: drive and copy the path to the folder to the clipboard

Open PowerShell as administrator  

cd > paste the path you copied

Type the address from under development mode in WSA 

adb.exe connect > type in the address

adb.exe shell

su

sentenforce 0

Exit


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