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PrivateClaw

AI agents running in confidential VMs you can verify

Details

External ID
47891569
Source
HN
Company
—
Product
PrivateClaw
Website domain
privateclaw.dev
Launched
April 24, 2026
Cohort
—
Upvotes
6
Upvotes percentile
0.2808483290488432
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

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 CVMs and enables users to perform a 5-step verification:1. SEV-SNP attestation — fetches a signed attestation report from the AMD PSP and validates it against AMD's root of trust 2. vTPM verification — confirms the virtual TPM's endorsement key is bound to the CVM's attestation 3. Host key binding — verifies the SSH host key you're connecting to is the one measured in the attestation report 4. Inference endpoint check — confirms the inference and inference proxy cert is bound to their respective TEE measurements 5. Access control audit — validates that only your SSH key is authorized and the cloud’s guest agent is disabledEvery step is transparent and auditable, and the CLI that does this for you is open source.Today, we enable you to verify that your agent is running inside a TEE. Attestable builds are on our roadmap, which will also enable users to verify what software is running inside the TEE.Architecture:PrivateClaw runs the user CVM and inference gateway on Azure Confidential Compute, and inference itself is powered by Confidential AI's TEE-backed vLLM deployment. The launch digest for each CVM is in the attestation report, so you can verify the boot state. Binding specific userland binaries to published source is on our reproducible build roadmap.Pricing:Free tier available. Pro, with greater limits, is $69/mo.Try it: ssh privateclaw.dev

Enrichment

Theme
lightweight and on-device AI runtimes
Vertical
Security
Function
Agent / copilot
Audience
B2B
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
verifiable ai agents in confidential vms
Manually corrected
False

Could you build this?

No Deploying verifiable confidential VMs requires deep systems engineering with AMD SEV-SNP hardware attestations, hypervisor-level security, cryptographic measurements, and secure key provisioning.

What it would actually take: A production implementation requires physical or cloud bare-metal infrastructure supporting AMD EPYC SEV-SNP or Intel TDX, running custom hypervisors (e.g., QEMU/KVM with libvirt or Cloud Hypervisor). Hard engineering parts include generating and verifying cryptographic hardware attestation reports against AMD's cert chain before injecting decrypted API keys or code. This demands specialized expertise in low-level Linux systems programming, cryptography, and confidential computing primitives.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 170 launches clear the similarity bar, closest 8 shown.

Attention rank: #145 of 171 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 176 days after the earliest competitor.

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Same idea, different domain

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