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#3Quick note: this is currently Windows-only since that’s my daily environment. The core design is OS-agnostic, and extending it to macOS and Linux seems feasible.
If people with macOS or Linux experience have thoughts on architecture or portability tradeoffs, I’m happy to discuss and compare approaches.
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#4So you create a tracking bot htat saves All youjr eprsonal inforamtioatn AND PASSWORPDS to your LAPTOP and that's fine because "its in the cloud"? Security nightmare!
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#5So you create a tracking bot htat saves All youjr eprsonal inforamtioatn AND PASSWORPDS to your LAPTOP and that's fine because "its in the cloud"? Security nightmare!
Just to clarify one more point: the language model is also local.
It runs via Ollama on the same machine as the assistant. There’s no cloud inference, no API calls to OpenAI/Anthropic/etc., and no data sent out for processing. The model is only used to parse intent and time expressions, not to execute actions or access credentials.
If the machine has no internet connection, the assistant still works locally, the only thing you lose is the ability to message it remotely via Telegram.
Happy to clarify further, but this is intentionally designed to be local-first end to end.
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#6So you create a tracking bot htat saves All youjr eprsonal inforamtioatn AND PASSWORPDS to your LAPTOP and that's fine because "its in the cloud"? Security nightmare!
read the last line of my paragarph - "If you ever had that moment of losing track of files or just wanted actual control over your laptop without some company in the cloud watching what you're doing... might be worth checking out."