We built PrivateClaw because the hosted OpenClaw platforms on the market today require you to trust them with plaintext. PrivateClaw removes that requirement at the hardware layer.PrivateClaw runs AI agents inside Trusted Execution Environments (TEEs), backed by AMD’s SEV-SNP standard. This means that your data is encrypted at the hardware level, enforced by the AMD Secure Processor outside the host OS trust boundary.PrivateClaw comes with inference that also runs inside TEEs, which means your prompts and completions are private as well.How it works:Each user gets a dedicated CVM (Confidential VM) — no shared tenancy. SEV-SNP provides hardware-enforced memory encryption with a per-VM key managed by the AMD Secure Processor, outside the host OS trust boundary. The hypervisor cannot read guest memory.Onboard now by running ssh privateclaw.dev in your terminal of choice.How you verify it:Our open-source CLI https://github.com/lunal-dev/privateclaw-cli is installed by default on all user C...
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