Automation
skyvern
Automate browser based workflows with AI
★ 23.1k starsAGPL-3.0
View guide →Query language that lets AI agents read and act on the web precisely.
agentql is an open-source automation project by tinyfish-io (tinyfish-io/agentql on GitHub). It has 1,476 GitHub stars and 177 forks, is released under the MIT license, and was last updated on GitHub on 2 October 2026.
Describe the elements and data you need in AgentQL.
Execute the query against live pages with the integration.
Click, fill, and scrape through the same language.
Use the REST API or SDKs from your own services.
Select web elements like database rows, not selectors.
Runs inside the browser automation you already use.
Pulls structured data fast and at scale.
Drive web interaction from any backend.
First-class libraries for both ecosystems.
Inspect and tune queries visually.
Download the source and move into the project folder.
git clone https://github.com/tinyfish-io/agentql.git
cd agentqlEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt adds a query language so agents describe what they want instead of hand-writing selectors.
MIT licensed — commercial use allowed.
The open-source tooling covers local use; the site offers a hosted option too.
Python and JavaScript SDKs, plus a REST API for anything else.
Yes, it runs through Playwright, which drives a real browser.
Automate browser based workflows with AI
Open-Source Chrome extension for AI-powered web automation. Run multi-agent workflows using your own LLM API key. Alternative to OpenAI Operator.
Declarative data automation language and Go runtime for structured extraction workflows.
An MCP server bringing AgentQL web data extraction to agents.
Stealth Chromium browser designed for web scraping and AI agents.
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Free and open — grab the source, star the repo, and start creating.