IronClaw is a secure, open-source alternative to OpenClaw that protects credentials from AI exposure. Your credentials live in an encrypted vault inside a TEE and are injected at the network boundary only for approved endpoints.
IronClaw is a secure, open-source alternative to OpenClaw, designed to protect AI agent credentials from exposure. It runs on NEAR AI Cloud inside a Trusted Execution Environment (TEE), or can be deployed locally from its GitHub repository. The core value proposition is that your secrets never touch the model—they live in an encrypted vault and are injected only at the network boundary for approved endpoints. This allows developers to unleash AI agents with full system access and persistent memory without compromising security. IronClaw is specifically built for those who need powerful agentic capabilities but cannot risk credential leakage.
The primary pain point IronClaw addresses is the vulnerability of AI agent credentials to prompt injection attacks, malicious community skills, and internet-exposed instances. OpenClaw, while powerful, stores secrets directly in the model's context, meaning a single crafted prompt can trick the LLM into revealing API keys, passwords, and tokens. Researchers have found hundreds of skills on ClawHub designed to quietly exfiltrate credentials, and tens of thousands of OpenClaw instances are publicly reachable and being weaponized. IronClaw eliminates these risks by architecturally separating secrets from the AI model. This matters because without such protection, organizations cannot safely deploy agents that perform sensitive operations like accessing databases, sending emails, or managing infrastructure.
IronClaw's Encrypted Vault and Leak Detection feature group ensures credentials are never visible to the AI. The vault encrypts API keys, tokens, and passwords at rest, and injects them into outgoing requests only at the host boundary for pre-approved endpoints. This means the AI never sees the raw values. Complementing this, Leak Detection scans all outbound traffic in real time, automatically blocking any data that looks like a secret trying to escape. This two-layer approach prevents both accidental exposure and deliberate exfiltration. The vault's strong encryption ensures that even if the enclave is compromised, credentials remain sealed. Leak Detection uses pattern matching to identify API key formats, JWT tokens, and other common secret structures, alerting or blocking before data leaves the environment.
The second major feature group is Sandboxed Tools and Network Allowlisting. Each tool or skill runs in its own WebAssembly (Wasm) container with capability-based permissions, strict resource limits, and no filesystem access. This isolation means a compromised skill cannot impact other tools or access the vault. Additionally, Network Allowlisting ensures that tools can only communicate with endpoints you have pre-approved. No silent phone-home or data exfiltration to unknown servers is possible. This combination of per-tool sandboxing and network control gives administrators fine-grained authority over what each skill can do, preventing malicious or buggy code from causing harm beyond its intended scope.
Publisher
A
admin
Launch Date2026-02-26
Platformweb
Pricingfree
Tech Stack
#Rust#WebAssembly#TEE
Domain Authority
Ahrefs DR39/100
Traffic Insights
Month2026-01
Estimated Visits0
MoM Visits GrowthN/A(+0)
Avg Time on Site0s