Detailed Introduction
Skyvern is an open-source browser automation platform that combines computer vision and multi-agent collaboration with large language models (LLM, Large Language Model) to understand page semantics and drive browser engines like Playwright. It offers both a local service and Skyvern Cloud, aiming to replace brittle selector-based automation with robust, agent-driven workflows that generalize across sites.
Main Features
- Vision + LLM inference to interact with websites without pre-defined selectors.
- Multi-agent swarm coordination for task decomposition, parallel execution, and result aggregation.
- Workflow building blocks: form filling, data extraction, file downloads, validation, and loop control.
- Support for Model Context Protocol (MCP) and integrations with multiple LLM providers.
Use Cases
Skyvern is suitable for large-scale browser automation tasks such as invoice downloading across sites, job-application automation, competitor research, and RPA-style business automation. It fits teams that need reproducible automation both on-premises and via a managed cloud offering.
Technical Features
- Playwright-based browser control with livestreaming for debugging and auditability.
- Pluggable LLM backends and environment configuration: OpenAI, Anthropic, Gemini, Ollama, etc.
- API and Python client with schema-driven outputs for structured, reproducible results.
- Core open-source components under AGPL-3.0; managed cloud adds anti-bot, proxy, and CAPTCHA handling.