Download 0xClaw for local AI pentesting
Download 0xClaw for Mac, Linux, and Windows when your team needs local tool execution, operator review, and evidence that stays under your control.
Download 0xClaw when you need a local AI penetration testing tool that keeps scan execution, tool output, and evidence on your own machine instead of routing everything through a vendor cloud scanner. If you need the category definition first, read what an AI pentest CLI is before you install.
- Choose the right binary for your OS and architecture.
- Check the first-run workflow before you install.
- Use pricing or comparison pages if you are still evaluating fit.
Local execution
Run the AI-assisted workflow from an operator-controlled environment instead of a vendor-managed cloud surface.
CLI workflow
Start from the command line, validate the environment, and move into an authorized test without a long setup path.
Evidence control
Keep logs, artifacts, and intermediate output close to the tester while the team reviews scope and findings.
Local AI pentest workflow
Install the local app, authenticate, verify your setup, and run authorized security tests without a cloud scanner dependency.
Compare before you install
Evaluating AI pentest tools? Review deployment model, autonomy, reporting, and data handling before choosing a workflow.
Compare AI pentest tools ->Plan for full usage
Download is free. Paid plans unlock higher usage and the full autonomous pentest workflow after login.
View pricing ->How the local-first install path works
1. Download the correct build
Pick the binary or DMG that matches your operating system and CPU architecture so your first run stays friction-free.
2. Validate the operator environment
Run login and doctor before the first pentest so API access, local tools, and permissions are verified up front.
3. Move into an authorized pentest workflow
Use the Compare, the pricing page, and the workflow guide to match the install with your team's reporting and governance needs.
Who should download 0xClaw?
This page is for security engineers, consultants, and small teams that want an operator-controlled workflow instead of a browser-only or cloud-only pentest experience. If your evaluation starts with hands-on execution, the fastest next step is to install locally and test an authorized target.
If you are still separating local AI pentesting from cloud validation platforms or model-layer security tooling, go back to the compare page first. If the local workflow already fits and you need plan guidance before rollout, review pricing and the guide on CompareBYOK tradeoffsBYOK tradeoffs.
Need help evaluating local deployment or a team rollout? Contact us.
Or install via command line
After installing
Running pentests requires a Pro subscription ($79/mo).
Download and install FAQ
Platform support, terminal install, and what to run after setup.
Is 0xClaw available for macOS, Linux, and Windows?
Yes. 0xClaw provides downloads for macOS Apple Silicon and Intel, Linux x86_64 and ARM64, and Windows x86_64.
Can I install 0xClaw from the command line?
Yes. The download page includes a curl-based install command for users who prefer terminal installation.
What should I run after installing 0xClaw?
Run 0xclaw login, then 0xclaw doctor to verify your local setup, then run an authorized pentest command against a target you are allowed to test.
Do I need a paid plan to run pentests?
You can download 0xClaw for free. Running the full autonomous pentest workflow requires a Pro subscription.
Does 0xClaw run locally?
Yes. 0xClaw is designed as a local AI penetration testing tool, so operators can keep scan evidence and tool output on their own machine.
Read the guides before your first run
Start with workflow, reporting, and internal-team usage so the first local run is easier to validate and hand off.
What is an AI pentest CLI?
Get the category definition before you compare workflows, tools, and deployment models.
Read guide ->How to run the local workflow
Follow the path from scope and recon to evidence, reporting, and remediation.
Read guide ->How to choose a local AI pentesting tool
Use practical selection criteria for deployment model, evidence, and team fit.
Read guide ->