Skyvern is an autonomous web navigation agent and browser-based workflow orchestrator that uses large language models to execute multi-step tasks on websites. By translating natural language instructions into actionable browser commands, the framework enables the automation of complex user workflows, including data extraction and interface interaction, without manual intervention.
The platform distinguishes itself through a focus on secure, self-hosted infrastructure and stealth-oriented execution. It utilizes containerized browser isolation to maintain consistent environments and employs proxy routing and fingerprinting configurations to mimic human traffic patterns. To ensure efficiency and continuity, the system supports stateful session persistence and deterministic action caching, which reduces redundant model inference and minimizes operational costs.
The project provides a comprehensive suite of tools for managing the full lifecycle of web automation. This includes secure credential management for handling authentication, structured data parsing for web content, and robust monitoring capabilities that archive logs, recordings, and screenshots for auditing. The system is designed for integration into broader business process pipelines, allowing for programmable task execution via external platforms.
