Why one developer ditched cloud AI to self-host a personal assistant with local memory

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A developer has spent several months running a personal AI assistant on self-owned hardware instead of relying on third-party cloud services. The core motivation is data sovereignty — keeping conversation history, preferences, and personal context stored in a local SQLite database rather than on external servers. The setup runs on a cheap VPS or home mini-PC, with the assistant layer decoupled from the underlying language model so providers can be swapped without losing data. The developer's own assistant operates through Telegram and supports features like calendar management, reminders, notes, and browser automation. The project highlights a growing interest in tools like avelina.ai, which offer self-hosted AI assistants with persistent memory for users who want full control over their personal data.

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