Cloud or local deployment
Launch an instance on NEAR AI Cloud without local infrastructure setup, or run the source locally from GitHub.
IronClaw
IronClaw is an open-source secure runtime for AI agents on NEAR AI Cloud or locally. Keep credentials in an encrypted vault while agents browse, research, code, and automate tasks.
Overview
IronClaw is an open-source secure runtime for AI agents. It runs in encrypted enclaves on NEAR AI Cloud, and the homepage says you can also download the source from GitHub and run it locally.
The product is built for users who want an agent that can browse, research, code, and automate while keeping credentials out of the model. Its core workflow centers on an encrypted vault, per-tool isolation, and network allowlisting so secrets are injected only where approved.
Features
Encrypted secret handling
Keep API keys, tokens, and passwords in an encrypted vault and inject them only into approved requests.
Tool isolation with Wasm
Run each tool in its own WebAssembly container with capability-based permissions, allowlisted endpoints, and resource limits.
Encrypted enclave runtime
Operate inside a Trusted Execution Environment so the runtime is encrypted in memory from boot to shutdown.
Leak detection
Scan outbound traffic in real time and block requests that appear to exfiltrate secrets.
Network allowlisting
Restrict tool access to pre-approved endpoints so data only flows where you allow it.
Use Cases
Secure personal AI assistance
Run an AI assistant that can browse, research, code, and automate tasks while keeping API keys and passwords out of the model’s direct view.
Hosted secure deployment
Deploy an agent in a hosted environment when you want the runtime to boot inside a Trusted Execution Environment without managing cloud infrastructure yourself.
Local source-based setup
Self-host from the published source when you prefer to inspect or run the runtime locally instead of using the cloud deployment.
Controlled network access
Limit where tools can send data by combining allowlisted endpoints with outbound leak detection, useful when handling sensitive credentials or private data.
Pros and Cons
Pros
- Open source, with source code available from GitHub.
- Runs in encrypted enclaves on NEAR AI Cloud.
- Keeps secrets in an encrypted vault and injects them selectively.
- Adds per-tool Wasm isolation and network allowlisting.
- Includes real-time outbound leak detection.
Cons
- The pricing page at /pricing returns a 404, so the public pricing structure is not confirmed on the site.
- The source does not provide a full integration catalog or detailed setup documentation on the pages reviewed.
FAQ
What is IronClaw?
IronClaw is an open-source secure runtime for running AI agents in encrypted enclaves on NEAR AI Cloud, or locally from the source code.
How do you deploy or run it?
The homepage says you can deploy an instance on NEAR AI Cloud in one click, or download the source code from GitHub and run it locally.
How are secrets handled?
IronClaw stores API keys, tokens, and passwords in an encrypted vault and injects them only for allowlisted endpoints, so the AI does not see the raw values.
What security controls does it highlight?
The page lists one-per-tool WebAssembly sandboxing, encrypted enclaves, real-time leak detection, and network allowlisting as part of its security model.
Who is it for?
The homepage compares IronClaw with OpenClaw and presents it as a secure alternative for users who want an agent that can act on their behalf without exposing credentials.
Quick Facts
- Category
- Developer Tool
- Primary use
- Secure AI agent runtime
- Deployment
- NEAR AI Cloud or local source code
- Security model
- Encrypted vault, TEE, Wasm isolation, network allowlisting
- Source domain
- ironclaw.com
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