Scrapybara
Remote desktop instances for AI agents with unified API and low-level controls.
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Scrapybara hosts remote desktop instances for computer use agents like CUA and Claude Computer Use. With its unified API, developers can write one line of code to execute agents with any model and access low-level controls like the browser, filesystem, and code sandboxes. Scrapybara handles autoscaling, authentication, and system environments, enabling users to deploy fleets of agents to production and automate any free-form computing task at scale.
Developers can use Scrapybara by installing its Python or TypeScript SDK. After initializing a client, they can start an Ubuntu instance and then use the `client.act()` method with various tools (like ComputerTool, BashTool, EditTool) and a specified AI model (e.g., OpenAI) to execute prompts for automated tasks, such as web scraping.
Choose this if you want to run AI agents on remote desktops with full control over browser and filesystem actions. It’s perfect for scaling up complex tasks with minimal latency and easy management.
10 compute hours, 100 agent credits, and 5 concurrent instances.
100 compute hours/mo, 500 agent credits/mo, 25 concurrent instances.
500 compute hours/mo, 2500 agent credits/mo, 100 concurrent instances.
Self-hosting, Dedicated Support, 99.9% Uptime SLA.
