Show HN: Stack – the control plane for AI agents (getstack.run)

A new project called STACK has been launched, aimed at addressing critical security vulnerabilities associated with autonomous AI agents. Traditional AI agents often operate with unscoped credentials and lack a reliable authorization framework, making them susceptible to issues like unauthorized access to sensitive accounts. STACK introduces a comprehensive control plane that includes capabilities such as credential encryption, cryptographic identity, a tamper-evident audit log, and the ability for agents to invoke each other's services securely. This infrastructure supports a three-layer trust framework, ensuring that all actions performed by agents can be accounted for and verified. The significance of STACK within the AI/ML community is profound, as it lays the groundwork for more secure and accountable AI-driven automation. By enabling agents to have scoped permissions and cryptographic identities, STACK enhances trust among systems that frequently interact. Key technical details include KMS envelope encryption for secure credential access, EdDSA-signed JWTs for agent identity, and a seamless marketplace for agent-to-agent payments. These features not only protect against potential exploits but also allow for better collaboration between AI entities while maintaining privacy through encrypted communication methods.