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This guide will walk you through the steps to get Brev up and running on your Windows machine.\n\n**Prerequisites**\n- WSL installed and configured\n- Virtualization enabled in your BIOS\n- Ubuntu 20.04 installed from the Microsoft Store\n\nOnce you have WSL installed and configured, you can install Brev by running the following command in your terminal:\n\n```bash \nsudo bash -c \"$(curl -fsSL https://raw.githubusercontent.com/brevdev/brev-cli/main/bin/install-latest.sh)\"\n```\n**Next Steps**\n\nLog in to your Brev account:\n\n```bash \nbrev login\n```\n\n## Get Started\n\nhttps://brev.nvidia.com/\n\n## Docs\n\nhttps://docs.nvidia.com/brev/latest/\n\n---\n\nhttps://user-images.githubusercontent.com/14320477/170176621-6b871798-baef-4d42-affe-063a76eca9da.mp4\n\n## AI Agent Integration\n\nBrev CLI includes a skill for AI coding agents (like [Claude Code](https://claude.com/claude-code)) that enables natural language GPU instance management.\n\n```bash\n# Install via CLI\nbrev agent-skill\n\n# Or via standalone installer\ncurl -fsSL https://raw.githubusercontent.com/brevdev/brev-cli/main/scripts/install-agent-skill.sh | bash\n```\n\nOnce installed, you can say things like \"create an A100 instance for ML training\" or \"search for GPUs with 40GB VRAM\" in your AI coding agent.\n\n## Contributing\n\nWe welcome PRs! Checkout [Contributing.md](docs/CONTRIBUTING.md) for more.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrevdev%2Fbrev-cli","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbrevdev%2Fbrev-cli","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrevdev%2Fbrev-cli/lists"}