Автоматизация
skyvern
Automate browser based workflows with AI
★ 23,1 тыс. звёздAGPL-3.0
Смотреть руководство →agentql — проект с открытым исходным кодом из категории «Автоматизация» от tinyfish-io (tinyfish-io/agentql на GitHub). У него 1 476 звёзд на GitHub и 177 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 2 октября 2026.
Query language that lets AI agents read and act on the web precisely.
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
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Соседние проекты из категории «Автоматизация» в каталоге, ближайшие по числу звёзд к agentql — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.