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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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Backup data from Android to an OpenSSH server

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Assuming you have created an openssh server on your windows 11 PC and you have root access , it's easy to backup your apps, call logs, messages, wallpapers and known wifi networks with swift backup for android


Head over to cloud sync and tap on SFTP 

Next you'll need to enter your credentials and the location on your PC

I've got my backup on D drive and the path is /D:

This creates the backup in the root of my D drive 

Once you've added your credentials, tap on connect


Conclusion

It might be useful to sync the backup folder to a cloud service to add an extra layer of assurance that you'll never lose your backup.





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