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# Installation
## Agent Integration (Recommended)
Tell your AI agent:
> Install browser-act. Skill source: https://github.com/browser-act/skills/tree/main/browser-act . Verify it works after installation.
The agent will handle CLI installation, Skill configuration, and verify everything is working.
## Manual Installation
```bash
uv tool install browser-act-cli --python 3.12
```
Verify:
```bash
browser-act --version
```
## Authentication (Optional)
An API Key unlocks the following features:
- **stealth browsers** — Anti-detection browsing with fingerprint spoofing
- **stealth-extract** — One-command extraction of protected page content
- **Dynamic proxy** — Managed IP rotation, allocated by region
- **solve-captcha** — Automatic captcha solving
Chrome and chrome-direct browsers work without authentication.
Get an API Key:
```bash
browser-act auth login
# Opens registration link → complete signup → poll for the key
browser-act auth poll
```
Or set it directly:
```bash
browser-act auth set <your-api-key>
```
## Upgrade
```bash
uv tool upgrade browser-act-cli
```
The Skill layer automatically detects mismatches between CLI and Skill content versions and guides the upgrade.
## Platform Support
| Platform | Status |
|----------|--------|
| Windows | Supported |
| macOS | Supported |
| Linux | Supported |
## Requirements
- Python 3.12+
- Chrome/Chromium (for `chrome` and `chrome-direct` types)
- API Key (only required for `stealth` type)
## Troubleshooting
### Command not found after install
Make sure the `uv` tool directory is in your PATH:
```bash
uv tool dir
# Add the output path to your shell PATH
```
### Diagnostics
Upload logs for issue diagnosis:
```bash
browser-act report-log
```
Send improvement suggestions:
```bash
browser-act feedback "Description of the issue or suggestion"
```
## Next Steps
- [Quick Start](quick-start.md) — Run your first automation
- [Skills](skills.md) — How agents discover and use BrowserAct