IronClaw
Secure, open-source alternative to OpenClaw
424 followers
Secure, open-source alternative to OpenClaw
424 followers
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 — 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.
IronClaw nails a core problem with agentic systems: you can’t safely let an AI agent operate with real credentials in the wild. Prompt-injection, accidental secret leakage, and tool/API abuse are all very real failure modes—and most teams end up either taking risky shortcuts or not shipping agents to production at all.
What stands out here is the “security boundary” approach: secrets live in an encrypted vault inside a TEE and are only injected at the network edge for explicitly allowed endpoints. That’s a strong least-privilege story—so even if an agent gets manipulated, the blast radius is constrained and credentials aren’t casually exposed to the model/runtime.
If you pair this with great UX (fast onboarding, clear allowlist/policy controls, and solid audit logs), IronClaw could become the missing production-grade security layer that makes real agent deployments feasible, not scary.
Getting the policy UX right is the hard part. IronClaw's TEE vault, secrets injected only to allowlisted endpoints at the network boundary, and per-tool Wasm sandboxes feel like a strong base for a secure OpenClaw alternative. As a builder I'd want a small policy test suite and an audit log that shows tool, endpoint, and scope (not raw values), so teams can explain every allow and deny without leaking anything.
Been testing IronClaw.
It’s basically OpenClaw, but I don’t have to worry about my keys getting leaked. That alone makes it worth it.
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?
Finally, security by design for AI agents. Injecting credentials at the network boundary (so the LLM never even 'knows' them) is the most elegant fix for prompt injections out there right now. Love the Wasm + Rust combo. Quick question: does the TEE take a heavy toll on latency under high load?
IronClaw stands out as part of the new wave of AI agents focused on autonomy rather than conversation. Its real promise is in how effectively it can take initiative, coordinate tasks, and operate reliably within defined constraints. The key question will always be execution quality and real world usefulness.
I've been tinkering with Ironclaw for a bit now, and honestly, it's a game-changer for keeping my personal data locked down while still letting the AI handle the boring stuff like emails and scheduling. 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. I'd recommend it to anyone who hates the privacy nightmare and wants to use an agent / bot that actually serves them and not leak their data.