My self-sovereign / local / private / secure LLM setup, April 2026
Warning: please do not simply copy the tools and techniques described in this post, and assume that they are secure. This post is meant as a starting point for a space that desperately needs to exist, not as a description of a finished product. Special thanks to Dave, Micah Zoltu, Liraz Siri, Luozhu Zhang, Ron Turetzky, Tina Zhen, Phil Daian, Hsiao-wei Wang and others for assistance and advice up to this point. Around the start of this year, we saw a transition in AI from chatbots - you ask an LLM a question, it gives you an answer - to agents - you give an LLM a task, and it thinks for a long time and uses hundreds of tools to perform a best-effort job at completing that task. OpenClaw, now the fastest-growing Github repo in history, has played a central role in this trend. At the same time, much of the mainstream part of the AI space, even the local open-source AI space, is completely and utterly cavalier about things like privacy and security. Take, for example, some of the recent c
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related reading
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- My picture of the present in AI — LessWronglesswrong.com
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- Security incident disclosure — July 2026huggingface.co