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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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Flash a stock ffu on Windows phone with WPID

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Windows phone image designer requires an ffu file from the Lumia firmware website 


Extract the zip file to C:\WPID andput the ffu in C:\

Use the 'start.bat' file to launch image designer

Power off the device and hold power and volume up until you see a lightning bolt

Open windows phone image designer and select :flash' and select the ffu file you downloaded

Tap on 'flash' and wait until it finishes


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