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IronClaw

AI

Runs AI agents inside Trusted Execution Environments on NEAR AI Cloud, keeping credentials encrypted and invisible to the model at all times.

This is a preview only. IronClaw will be published on October 7, 2026.

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12,640stars+8(+0.1%)

Last 30 days

IronClaw is a secure AI agent runtime built for people who want to hand off real work to an AI agent without handing over their passwords, API keys, and tokens along with it. It runs on NEAR AI Cloud inside Trusted Execution Environments, meaning credentials are encrypted in memory from boot to shutdown. The AI model never sees the raw values.

The core problem it solves is real. Tools like OpenClaw give agents broad system access, but that access cuts both ways. A crafted prompt can trick the model into leaking every secret it holds. Malicious community skills have been found specifically designed to exfiltrate credentials. IronClaw's answer isn't a policy or a warning prompt; it's architecture.

Key security layers:

  • Encrypted vault: Credentials are stored encrypted at rest and injected into outbound requests only at the host boundary, only for endpoints you've pre-approved.
  • Per-tool Wasm sandboxes: Every skill runs in its own WebAssembly container with capability-based permissions. A compromised tool can't reach anything outside its sandbox.
  • Network allowlisting: Tools can only contact endpoints you've explicitly approved. No silent phone-home, no unknown destinations.
  • Real-time leak detection: Outbound traffic is scanned continuously. Anything resembling a secret heading out gets blocked before it leaves.
  • Built in Rust: Memory safety is enforced at compile time. No garbage collector, no buffer overflows, no use-after-free vulnerabilities.

On the practical side, IronClaw handles the kind of recurring busywork that eats time. Inbox triage, daily briefings, meeting prep, deployment health checks, release tracking, invoice parsing, KPI reporting. It connects to Gmail, Google Calendar, Slack, Telegram, GitHub, Linear, Google Sheets, and anything else with an API. Missing an integration? It builds the connector itself from a plain-language description.

It's model-agnostic, compatible with Anthropic, OpenAI, Gemini, Mistral, Ollama, and several others. Deployment is one click on NEAR AI Cloud, with a free starter tier and paid plans scaling up to five concurrent agent instances.

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12,640stars+8(+0.1%)

Last 30 days

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