OpenClaw is powerful, but give it real credentials and you're exposed. Prompt injections steal API keys. Malicious skills grab passwords. IronClaw fixes this. Your credentials live in an encrypted vault inside a TEE β injected at the network boundary only for approved endpoints. The AI never sees the raw values. Every tool is Wasm-sandboxed. Outbound traffic is scanned for leaks. Built in Rust. Open source. Deploy on NEAR AI Cloud in one click.
Finally, a privacy-first approach to AI agents! Moving from TypeScript to Rust for memory safety is a smart move, and the capability-based permissions in WASM make it way more viable for financial operations. To be honest, the installation process is still quite a hurdle, but the level of auditability and local data control is exactly what we need right now. Definitely keeping an eye on this one as it matures.
This is solving a real problem. I've been wary of handing credentials to AI tools, and the encrypted vault approach feels like the right architecture. Curious: does the vault support hardware key unlock (like YubiKey or Touch ID), or is it passphrase-only for now?
Prompt injection stealing API keys is one of the biggest blind spots in AI agent security today. The TEE vault + boundary injection design here is a clever way to remove secrets from the agent context entirely.
Curious to see how this integrates with popular AI stacks. Congrats on the launch!
Finally, a privacy-first approach to AI agents! Moving from TypeScript to Rust for memory safety is a smart move, and the capability-based permissions in WASM make it way more viable for financial operations. To be honest, the installation process is still quite a hurdle, but the level of auditability and local data control is exactly what we need right now. Definitely keeping an eye on this one as it
Finally, a privacy-first approach to AI agents! Moving from TypeScript to Rust for memory safety is a smart move, and the capability-based permissions in WASM make it way more viable for financial operations. To be honest, the installation process is still quite a hurdle, but the level of auditability and local data control is exactly what we need right now.
Really like the direction here. A lot of AI agent tools feel exciting until you remember they need access to real credentials, and thatβs usually where things get uncomfortable. IronClaw seems to tackle that problem in a thoughtful way β keeping secrets out of the model itself and putting security at the core instead of adding it later. The open-source angle is also a big plus. This feels like the kind of infrastructure that could make agent workflows much easier to trust in real use.
What really clicks for me is how it runs everything locally without sending my secrets off to some cloud, making me feel way more in control than with other tools I've tried. Sure, the setup took a little extra time because of all the security layers, but it's kind of worth the struggle