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Don't remind me again today

AgentOS is changing how we think about AI agent deployment. The platform lets you run AI agents straight from your local machine — no cloud dependency, no data leakage risks.



What makes this interesting? Full custody over your data while tapping into decentralized AI infrastructure. You're not sending sensitive info to third-party servers. Everything processes locally, which matters more as AI agents handle increasingly critical tasks.

The timing feels right. As autonomous agents become mainstream, people want control without sacrificing functionality. AgentOS seems built for exactly that — bridging privacy concerns with practical AI deployment.
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AllInAlicevip
· 11-14 01:55
Ngl, the idea of running a local agent really hits the pain point, but can it really avoid data leaks? It seems it still depends on the specific implementation.
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MevShadowrangervip
· 11-14 01:55
Running the agent locally is really nice, finally not having to be clipped coupons by cloud service providers... But can this actually be implemented? It feels like yet another idealistic solution.
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APY_Chaservip
· 11-14 01:49
Honestly, this trap of local deployment logic should have appeared earlier; it feels a bit late to come now... However, speaking of which, the issue of data sovereignty has indeed hit a nerve. Who wants to throw sensitive information to cloud service providers?
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BlindBoxVictimvip
· 11-14 01:38
Running the agent locally sounds good, but can it really completely avoid data leaks? Or is it just another marketing gimmick...
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