自動化
skyvern
Automate browser based workflows with AI
★ 23.1k スターAGPL-3.0
ガイドを見る →iflow-cliは、iflow-aiが公開しているオープンソースの自動化プロジェクトです（GitHub: iflow-ai/iflow-cli）。GitHubスターは5,091、フォークは416で、Unknownライセンスの下で公開されています。GitHubでの最終更新は2026年3月20日です。
iFlow cli is a comprehensive command-line intelligence that embeds in your terminal, analyzes your repositories, does coding tasks, interprets your needs acr…
Link the services you already use through built-in integrations or generic webhooks and API calls.
Drag triggers and actions onto a canvas: when this happens, do that.
Branch on conditions, loop over items, or pipe steps through language models.
Turn the workflow on and watch executions in the run history.
Credentials and execution data stay on your infrastructure.
Prebuilt connectors plus HTTP, webhooks, and database nodes.
Design automations on a canvas instead of writing glue code.
Retries, fallbacks, and alerts when steps fail.
Export, diff, and back up workflows like code.
The automation is free; you only pay for your own server.
Download the source and move into the project folder.
git clone https://github.com/iflow-ai/iflow-cli.git
cd iflow-cliEvery 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 is an open-source project at iflow-ai/iflow-cli with 416 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under Unknown — check the repo for commercial-use terms.
Docker and a small VPS or home server cover most of these.
Same idea, but self-hosted with no per-task pricing.
Most flows are visual; light expressions help for advanced logic.
Automate browser based workflows with AI
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LibreAIカタログに掲載された自動化プロジェクトの中で最もスターの多いもの — iflow-cliが合わなかった場合に検討したい、現実的な候補リストです。
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カタログの中でiflow-cliとスター数が近い自動化プロジェクト — 前後の棚もそのまま見て回れます。
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