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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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Project Astoria for Lumia 640XL/640/930

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Install stock ffu from windows device recovery tool link 


Put the phone in flash mode by holding power off then volume down. Open Windows Phone image designer and the flash stock ffu 


Put phone in aeroplane mode. This will stop it from updating while you prepare to disable system updates


With registry browser go to HKLM ->SYSTEM -> CurrentControlSet -> Services

The default value is 3 changing it to 4 will stop updates but the store would not work so we need to change it back to 3 and reboot

Use the deployer app to install an apk file



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