Show HN: PrivateClaw – AI agents running in confidential VMs you can verify

Category: infrastructure

Tags: confidential-computing, ai-agents, privacy

Score: 6.3/10 (Innovation: 7, Technical: 6, Documentation: 3, Utility: 6)

PrivateClaw enables AI agents to run inside confidential virtual machines with verifiable encryption, ensuring that user data and model inference remain private and under the user's control. It combines confidential computing with AI deployment, offering a novel approach to privacy-preserving AI execution. The project is still early-stage with minimal documentation, but the concept addresses a growing need for verifiable trust in AI systems.

Target audience: devops, security engineers, data engineers

Repository: https://privateclaw.dev

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