IronClaw

Run AI agents automating systems with secrets locked.

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About IronClaw

IronClaw focuses on running AI agents that can touch real systems without putting secrets at risk. Built on NEAR AI Cloud and Rust, it wraps OpenClaw-style personal agents in encrypted enclaves, WebAssembly sandboxes, and an encrypted credential vault. The headline idea is simple: agents can browse, code, and automate while API keys, tokens, and passwords never become LLM-visible text. Key Features: Encrypted credential vault: Stores API keys, tokens, and passwords encrypted at rest, injecting them only at the network boundary for explicitly allowlisted endpoints. Trusted Execution Environment (TEE): Each IronClaw instance boots inside a hardware-backed encrypted enclave on NEAR AI Cloud, protecting data in memory from the host and provider. WebAssembly tool sandboxing: Every tool runs in its own Wasm container with capability-based permissions, no filesystem access, strict resource limits, and constrained outbound networking. Leak detection for secrets: Outbound traffic is scanned in real time, and anything that resembles credential exfiltration is blocked before it reaches the internet. Rust-based runtime: The entire runtime is written in Rust, avoiding classes of memory bugs like buffer overflows and use-after-free, and skipping a garbage collector. OpenClaw compatibility and simple deploy: Offers the same agent capabilities as OpenClaw with one-click deployment on NEAR AI Cloud or local runs, plus open-source code on GitHub.

Key features

Encrypted credential vault
Trusted Execution Environment (TEE)
WebAssembly tool sandboxing
Leak detection for secrets
Rust-based runtime
OpenClaw compatibility and simple deploy

Use cases

Security-conscious AI developers building agents that call production APIs, financial systems, or internal services where credential exposure is unacceptable.
Platform and DevOps teams providing company-wide AI assistants while keeping strict guardrails around infrastructure and internal tools.
Fintech and healthtech companies experimenting with agentic workflows on regulated or sensitive data while respecting compliance and risk constraints.

Pros

Runs AI agents in hardware-backed encrypted enclaves to protect secrets from exposure to the model or host.
Provides an encrypted credential vault that injects secrets only at approved endpoints, preventing LLM visibility.
Uses WebAssembly tool sandboxing with strict permissions and resource limits to isolate agent actions.
Built on Rust for memory safety and security, avoiding common vulnerabilities like buffer overflows.
Offers OpenClaw compatibility with one-click deployment on NEAR AI Cloud or local execution.

Cons

Requires initial setup for credential vault configuration and endpoint allowlisting.
Limited to environments supporting Trusted Execution Environments (TEEs) or compatible cloud infrastructure.
May introduce latency due to sandboxing and real-time secret leak detection mechanisms.

Frequently asked questions about IronClaw

What does IronClaw do?

IronClaw runs AI agents that automate tasks across real systems while keeping secrets secure. It handles browsing, coding, and automation without exposing API keys, tokens, or passwords to the AI model.

Who should use IronClaw?

IronClaw suits individuals and teams who need reliable automation without compromising sensitive credentials. It’s ideal for developers, productivity-focused users, and teams managing workflows across email, calendars, chat, and code repositories.

How does IronClaw protect my secrets?

IronClaw stores credentials in an encrypted vault and injects them only at the network boundary for approved endpoints. Agents run inside hardware-backed encrypted enclaves, and tools are sandboxed in WebAssembly containers with strict permissions.

Can IronClaw integrate with my existing tools?

Yes, IronClaw connects with tools like Gmail, Google Drive, GitHub, Slack, Telegram, and others. It can also build custom connectors on request, provided the tool has an API.

How do I get started with IronClaw?

You can deploy IronClaw in one click on NEAR AI Cloud or run it locally. After deployment, add your credentials to the encrypted vault and start handing off tasks to the agent via chat.

Is IronClaw open-source?

Yes, IronClaw is open-source, with the code available on GitHub. This allows users to inspect, modify, or self-host the agent as needed.