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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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Android 12L beta with magisk for Pixel 6 pro

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                                                                       platform tools


Plug in the phone to PC and open a terminal in the platform tools folder



adb reboot recovery



Tap power and volume up to get into recovery mode



Apply update from ADB 



adb sideload <ota.zip> 



Note: use the 'copy as path' function with the .zip file and paste it instead of 'ota.zip'

After the update completes press power to reboot to system.


For root check out the post here

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